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Search Results (405)

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22 pages, 2982 KiB  
Article
Effect of Selective Substrates on Germination of Pomegranate (Punica granatum) and Trifoliate Orange (Poncirus trifoliata) Seeds with and Without the Presence of Plant-Beneficial Microorganisms
by Helen Kalorizou, Dimitra Stefanopoulou, Paschalis Giannoulis and Stefanos Leontopoulos
Seeds 2025, 4(1), 12; https://doi.org/10.3390/seeds4010012 - 6 Mar 2025
Abstract
Insect-based (silkworm cocoons) and plant-based (cotton wool pads and gauzes) fiber substrates were used to support and ameliorate seed germination originating from trifoliate orange (Poncirus trifoliata) and pomegranate (Punica granatum) trees. Three different commercial formulations of beneficial microorganisms (Bacillus [...] Read more.
Insect-based (silkworm cocoons) and plant-based (cotton wool pads and gauzes) fiber substrates were used to support and ameliorate seed germination originating from trifoliate orange (Poncirus trifoliata) and pomegranate (Punica granatum) trees. Three different commercial formulations of beneficial microorganisms (Bacillus spp.-Azotobacter spp., Saccharomyces boulardii, and Saccharomyces cerevisiae) were administered to seeds in order to evaluate their contribution to germination and growth. The silkworm cocoons provided better germination rates for P. trifoliata seeds (83.33%) among the tested media without any microbial supplementation. These rates increased towards the absolute maximum (100%) when Bacillus spp.-Azotobacter spp., S. boulardii and S. cerevisiae were applied. Furthermore, inoculums of Bacillus spp.-Azotobacter spp. 2 mL and S. cerevisiae 3 g raised the pomegranate seed germination ability by 30–33.33% and 50–67.7%, respectively, on silkworm cocoon substrates when compared to plant-derived, cellulosic fiber substrates under the same biotic exposure. On increasing the size of applied microbial inoculums, seed germination moved from optimum to suboptimum for all germination media. Examination of multipartite pH compatibility (between seeds, microorganisms, and germination media) was beneficial and of functional value. In conclusion, the germination rates of both tree species can be raised using bacterial and yeast supplementation, including medical-grade S. boulardii, on environmentally friendly materials such as insect- and plant-based fiber substrates. Full article
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<p>Trifoliate orange (<span class="html-italic">P. trifoliata)</span> seed germination in different substrates: (<b>A</b>) growing chamber overview, (<b>B</b>) cotton gauze, (<b>C</b>) cotton wool pad and (<b>D</b>) silkworm <span class="html-italic">B. mori</span> cocoon.</p>
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<p>Pomegranate (<span class="html-italic">P. granatum)</span> seed germination in different substrates: (<b>A</b>) cotton gauze, (<b>B</b>) cotton wool pad and (<b>C</b>) silkworm <span class="html-italic">B. mori</span> cocoon.</p>
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14 pages, 1950 KiB  
Article
Topical RNA Interference Induces Mortality in the Cotton–Melon Aphid Aphis gossypii with No Adverse Effect on the Predator Propylea japonica
by Chong Zhan, Boya Jiao, Letian Xu, Yu Peng and Yao Zhao
Insects 2025, 16(3), 276; https://doi.org/10.3390/insects16030276 - 5 Mar 2025
Viewed by 205
Abstract
The cotton–melon aphid (Aphis gossypii Glover), a globally distributed polyphagous pest, primarily infests cucurbit crops and leads to significant reductions in both crop yield and quality. Overreliance on chemical insecticides has resulted in widespread resistance development, highlighting the urgent requirement for alternative [...] Read more.
The cotton–melon aphid (Aphis gossypii Glover), a globally distributed polyphagous pest, primarily infests cucurbit crops and leads to significant reductions in both crop yield and quality. Overreliance on chemical insecticides has resulted in widespread resistance development, highlighting the urgent requirement for alternative control strategies. This study evaluates the potential of topical RNA interference (RNAi) for managing cotton–melon aphids. We first analyzed instar-specific expression profiles of four candidate RNAi target genes (ATPE, IAP, Cat, and ilvE), employed topical dsRNA delivery to silence these genes, and subsequently evaluated their effects on aphid mortality, growth rates, and reproductive capacity. Furthermore, we investigated the non-target effects of RNAi-treated aphids on the predator ladybird beetles Propylea japonica. The results indicate that topical dsRNA delivery successfully silenced the target genes, significantly impairing aphid development and fecundity while inducing mortality, with no adverse effects on the beneficial predator. This method provides a powerful tool for insect gene functional studies and a promising solution for RNAi-based pest management. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>Relative expression pattern of four target genes at different developmental stages of <span class="html-italic">A. gossypii</span>. Different letters above each bar indicate significant difference determined by ANOVA with Tukey HSD test. Data are means ± standard error. The significance level was indicated as <span class="html-italic">p</span> &lt; 0.05. N1: first instar; N2: second instar; N3: third instar; N4: fourth instar.</p>
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<p>Silencing efficiency of four target genes of the aphid after 12 h (<b>A</b>,<b>D</b>,<b>G</b>,<b>J</b>), 36 h (<b>B</b>,<b>E</b>,<b>H</b>,<b>K</b>), and 72 h (<b>C</b>,<b>F</b>,<b>I</b>,<b>L</b>) of topical delivery of dsRNA at different concentrations. Data are means ± standard error. Data were analyzed by Student’s <span class="html-italic">t</span>-test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, <span class="html-italic">ns</span> indicates no significant difference.</p>
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<p>Aphid mortality after topical delivery of different concentrations of dsRNA for 72 h. (<b>A</b>) ds<span class="html-italic">ATPE</span>, (<b>B</b>) ds<span class="html-italic">IAP</span>, (<b>C</b>) ds<span class="html-italic">Cat,</span> and (<b>D</b>) ds<span class="html-italic">ilvE</span>. Data are means ± standard error. Data were analyzed by Student’s <span class="html-italic">t</span>-test. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of topical delivery of dsRNA on aphid fecundity [(<b>A</b>) ds<span class="html-italic">ATPE</span>, (<b>C</b>) ds<span class="html-italic">IAP</span>, (<b>E</b>) ds<span class="html-italic">Cat,</span> and (<b>G</b>) ds<span class="html-italic">ilvE</span>] and body weight [(<b>B</b>) ds<span class="html-italic">ATPE</span>, (<b>D</b>) ds<span class="html-italic">IAP</span>, (<b>F</b>) ds<span class="html-italic">Cat,</span> and (<b>H</b>) ds<span class="html-italic">ilvE</span>]. Data are means ± standard error. Data were analyzed by Student’s <span class="html-italic">t</span>-test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, <span class="html-italic">ns</span> indicates no significant difference.</p>
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16 pages, 15268 KiB  
Article
Potential Functions and Transmission Dynamics of Fungi Associated with Anoplophora glabripennis Across Different Life Stages, Between Sexes, and Between Habitats
by Qing Liu, Yuanting Jia, Yishuo Li, Shilong Geng, Yanqi Yu, Zhangyan Wang, Xinru Wang, Ningning Fu, Jianyong Zeng, Xiaoyu Su, Huiping Li and Hualing Wang
Insects 2025, 16(3), 273; https://doi.org/10.3390/insects16030273 - 5 Mar 2025
Viewed by 127
Abstract
The fungi residing in the gut and associated habitats play a crucial role in the growth and development of Anoplophora glabripennis (Motschulsky) (Coleoptera: Cerambycidae), a wood-boring pest. Yet, how they are acquired and maintained across generations, and their respective roles throughout the life [...] Read more.
The fungi residing in the gut and associated habitats play a crucial role in the growth and development of Anoplophora glabripennis (Motschulsky) (Coleoptera: Cerambycidae), a wood-boring pest. Yet, how they are acquired and maintained across generations, and their respective roles throughout the life cycle, remain unknown. To this end, we used high-throughput ITS sequencing analysis to characterize the fungal composition and diversity associated with A. glabripennis across three different life stages, between sexes, and between its habitats. Overall, the fungi composition was stage specific, with adult gut communities being more diverse than those of larvae and eggs. Male fungal communities differed significantly, while frass and female communities were more similar to each other. The top 10 most abundant genera were investigated, with Fusarium consistently observed in all samples and exhibiting the highest overall abundance. Function predictions revealed the presence of potentially beneficial fungi that may support A. glabripennis invasion across all groups. Additionally, we observed complex network structures in the fungal communities associated with eggs and males, and stronger positive correlations in those of eggs and newly hatched larvae. Source tracking analysis suggested that these fungi were vertically transmitted, following a transmission pathway of ‘female gut–frass–egg–larval gut’, occurring via frass deposited in oviposition sites. Our findings provide a nuanced understanding of the intricate interactions among plants, insects, and fungi, shedding light on the acquisition, maintenance, and roles of gut-associated fungi in A. glabripennis. Full article
(This article belongs to the Section Insect Behavior and Pathology)
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<p>Alpha diversity (<b>A</b>) and beta diversity (<b>B</b>) indices of fungal communities in different life stages and habitats of <span class="html-italic">A. glabripennis</span>. a–c indicated significant difference among samples at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Community structure of fungi in the different life stages and habitats of <span class="html-italic">A. glabripennis</span> at the phylum and genus levels (<b>A</b>). Core gut microbiota of <span class="html-italic">A. glabripennis</span> (<b>B</b>). Venn diagram illustrating the number of common fungi shared among different groups.</p>
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<p>Distinct genera of fungi in the different life stages and associated habitats of <span class="html-italic">A. glabripennis</span>. Different letters indicate significant differences among samples at the <span class="html-italic">p</span> &lt; 0.05 level, respectively.</p>
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<p>Functional prediction of fungi across different life stages and the associated habitats of <span class="html-italic">A. glabripennis</span>.</p>
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<p>Correlation network analysis of fungi in the different life stages and associated habitats of <span class="html-italic">A. glabripennis</span> at the genus level. Different colors denote distinct phyla. The sizes of the shapes indicate the degree of connectivity, and the lines connecting the points signify the relevance between them. Specifically, the red lines represent a positive correlation, whereas the blue lines indicate a negative correlation, and percentage indicates positive correlation ratio.</p>
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<p>Source tracing measurements of microbial fungi in the newly hatched larval gut. (<b>A</b>) Predicted proportions of larval gut microbiota originating from eggs, female gut, oviposition slit, and frass. (<b>B</b>) The proportion of microbiota in eggs originating from the female gut, larval gut, oviposition slit, and frass was estimated. (<b>C</b>) Proportions of microbiota in frass samples originating from eggs, female gut, larval gut, and oviposition slit. (<b>D</b>) Microbiota in oviposition slit samples derived from eggs, female gut, larval gut, and frass. (<b>E</b>) Proportions of microbiota from female gut and frass samples transferred to larval gut, frass, and oviposition slit. The numbers represent the compositional proportions of the samples from each source in the sink samples. The larger the proportion, the redder the color; conversely, the smaller the proportion, the bluer the color.</p>
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<p>Schematic illustrating the transmission of the fungi from mother to offspring, which occurs via frass deposited during oviposition.</p>
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16 pages, 2175 KiB  
Article
The Role of Flower Strips in Increasing Beneficial Insect Biodiversity and Pest Control in Vineyards
by Roma Durak, Martyna Materowska, Renee Hadley, Lynda Oosterhuis, Tomasz Durak and Beata Borowiak-Sobkowiak
Sustainability 2025, 17(5), 2018; https://doi.org/10.3390/su17052018 - 26 Feb 2025
Viewed by 133
Abstract
In ecosystems that have been disturbed by agricultural management, ecosystem services such as adequate pest control are also disturbed. Exploiting interactions between beneficial insects and plants can contribute to improving ecosystem service delivery and biological control. One of the effective methods of naturally [...] Read more.
In ecosystems that have been disturbed by agricultural management, ecosystem services such as adequate pest control are also disturbed. Exploiting interactions between beneficial insects and plants can contribute to improving ecosystem service delivery and biological control. One of the effective methods of naturally increasing the biodiversity of beneficial insects on crop plantations is the use of plant strips. The aim of our work was to demonstrate the role of flower strips in the sustainable management of vineyards. In particular, the relationship between the composition and flowering time of plants in flower strips and beneficial insects such as predators, parasitoids, and wild pollinators from Central Europe and the Western USA was shown. Most plants used for flower strips belong to the Asteraceae family. The most attractive to beneficial insects were Eriogonum niveum, Ericameria nauseosa, and Purshia tridentata in the USA, while in the vineyard in Poland they were garden plant species but also native species, especially Erigeron annuus, Taraxacum ssp., and Polygonum persicaria. The planned replacement of flowering times of plant species was observed from March to October, which ensured continuity in the availability of food for beneficial insects. Appropriately selected plants can attract selected species of predators and parasitoids, which can regulate the number of a specific pest species. Diversifying agricultural ecosystems is a promising pest control strategy that reduces pesticide use and thus supports sustainable agriculture. Full article
(This article belongs to the Section Sustainable Agriculture)
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<p>Location of research areas: Walla Walla (Washington State, USA) and Lubcza (Poland).</p>
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<p>Examples of plants found in flower strips in the USA (<b>A</b>–<b>D</b>) and Poland (<b>E</b>–<b>H</b>). (<b>A</b>) <span class="html-italic">Ericameria nauseosa</span>, (<b>B</b>) <span class="html-italic">Eriogonum niveum</span>, (<b>C</b>) <span class="html-italic">Physocarpus capitatus</span>, (<b>D</b>) <span class="html-italic">Purshia tridentata</span>, (<b>E</b>) <span class="html-italic">Convolvulus arvensis</span>, (<b>F</b>) <span class="html-italic">Ranunculus arvensis</span> and <span class="html-italic">Silene flos-cuculi</span>, (<b>G</b>) <span class="html-italic">Echinacea purpurea</span>, (<b>H</b>) <span class="html-italic">Lavandula angustifolia</span>.</p>
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<p>The blooming times of plants found in the vineyard: (<b>A</b>) the vineyard in Walla Walla, USA, (<b>B</b>) the vineyard in Lubcza, Poland.</p>
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<p>Plant–insect networks in the flower strips of vineyards: (<b>A</b>) the vineyard in Walla Walla, USA, (<b>B</b>) the vineyard in Lubcza, Poland.</p>
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13 pages, 1008 KiB  
Article
Identification and Characterization of Three Epichloë Endophytes Isolated from Wild Barley in China
by Zhengfeng Wang, Feng Zhao, Qijun Bao, Xiaoning Liu and Cheng Guo
J. Fungi 2025, 11(2), 142; https://doi.org/10.3390/jof11020142 - 13 Feb 2025
Viewed by 382
Abstract
Epichloë endophytes have been found in cool-season grasses and can produce alkaloids that are toxic to vertebrates and insects. Due to their beneficial effects, Epichloë can provide plants with resistance to some abiotic and biotic stresses. The biological and physiological characteristics of the [...] Read more.
Epichloë endophytes have been found in cool-season grasses and can produce alkaloids that are toxic to vertebrates and insects. Due to their beneficial effects, Epichloë can provide plants with resistance to some abiotic and biotic stresses. The biological and physiological characteristics of the endophytic strains XJE1, XJE2, and XJE3 isolated from wild barley were measured across a range of pH, salt concentrations, and growth values. The phylogenetic position of the Epichloë isolates was examined using the tefA and actG genes. The optimal pH values for mycelial growth of XJE1, XJE2, and XJE3 were 7–8, 6–7, and 8–9, respectively. The isolates grew significantly better at 0.3 mol/L NaCl than at 0.5 mol/L and 0.1 mol/L NaCl. Based on the conidiophore and conidia morphology, growth characteristics, and phylogenetic relationships, the endophyte isolated from wild barley is likely Epichloë bromicola. These isolates exhibited differences in mating types and alkaloid biosynthesis genes. Screening for salt tolerance and alkaloid biosynthetic genes in endophytic strains will provide new insights into useful traits to breed into new forage germplasms. Full article
(This article belongs to the Special Issue Fungal Endophytes of Plants: Friend or Foe?)
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<p>Colony characteristics of XJE1, XJE2, and XJE3 endophyte fungus isolates from wild barley. Obverse of the colony (<b>A</b>,<b>D</b>,<b>G</b>), Bar = 1cm; reverse of the colony (<b>B</b>,<b>E</b>,<b>H</b>), Bar = 1cm; hyphae, conidiophores, and conidia (<b>C</b>,<b>F</b>,<b>I</b>) Bar = 20μm.</p>
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<p>Maximum likelihood (ML) tree of the <span class="html-italic">tefA</span> (<b>A</b>) and <span class="html-italic">tubB</span> (<b>B</b>) regions from representative <span class="html-italic">Epichloë</span> species and the endophytic strains XJE1, XJE2, and XJE3 isolated from <span class="html-italic">H. brevisubulatum</span>. Rooted 50% majority rule consensus maximum parsimony phylogenetic tree of the <span class="html-italic">tefA</span> (<b>A</b>) and <span class="html-italic">tubB</span> (<b>B</b>) sequences. The node values indicate the bootstrap percentages based on 1000 replications. Sequences are labeled as GenBank accession numbers and <span class="html-italic">Epichloë</span> species names. The endophytic strains XJE1, XJE2, and XJE3 isolated from <span class="html-italic">H. brevisubulatum</span> are identified by circles next to the GenBank accession numbers.</p>
Full article ">Figure 2 Cont.
<p>Maximum likelihood (ML) tree of the <span class="html-italic">tefA</span> (<b>A</b>) and <span class="html-italic">tubB</span> (<b>B</b>) regions from representative <span class="html-italic">Epichloë</span> species and the endophytic strains XJE1, XJE2, and XJE3 isolated from <span class="html-italic">H. brevisubulatum</span>. Rooted 50% majority rule consensus maximum parsimony phylogenetic tree of the <span class="html-italic">tefA</span> (<b>A</b>) and <span class="html-italic">tubB</span> (<b>B</b>) sequences. The node values indicate the bootstrap percentages based on 1000 replications. Sequences are labeled as GenBank accession numbers and <span class="html-italic">Epichloë</span> species names. The endophytic strains XJE1, XJE2, and XJE3 isolated from <span class="html-italic">H. brevisubulatum</span> are identified by circles next to the GenBank accession numbers.</p>
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13 pages, 1245 KiB  
Review
Establishing an IPM System for Tarnished Plant Bug (Hemiptera: Miridae) in North Carolina
by Dominic Reisig and Anders Huseth
Insects 2025, 16(2), 164; https://doi.org/10.3390/insects16020164 - 5 Feb 2025
Viewed by 460
Abstract
Prior to 2010, Lygus lineolaris Palisot de Beauvois was a minor pest in North Carolina cotton, Gossypium hirsutum L., but became one of the top pests by 2017. This insect was already a persistent pest in other US cotton-producing regions. Initial work focused [...] Read more.
Prior to 2010, Lygus lineolaris Palisot de Beauvois was a minor pest in North Carolina cotton, Gossypium hirsutum L., but became one of the top pests by 2017. This insect was already a persistent pest in other US cotton-producing regions. Initial work focused on addressing near-term management needs and documenting locally relevant ecology and population dynamics of the pest in North Carolina. Landscape factors were found that correlated with tarnished plant bug incidence. Adult numbers tended to be higher in fragmented fields (more field edges) and nymph numbers were higher near field edges. The minimum required sample for estimating tarnished plant bug populations was studied. Thresholds developed in the Midsouth were proven to be useful in a study between both southeastern Virginia and northeastern North Carolina. Furthermore, an insecticide application sequence was recommended based on efficacy trials, number of expected insecticides, and preserving beneficial insects early in the season. These were evaluated in a study investigating IPM systems approaches. Finally, new management tactics for tarnished plant bug, such as ThryvOn cotton, are being evaluated. As new management strategies and tactics are developed, they will need to be evaluated for their fit in this IPM system. Full article
(This article belongs to the Collection Hemiptera: Ecology, Physiology, and Economic Importance)
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<p>Percent of North Carolina cotton acres from 1996 to 2023 treated with a foliar insecticide application for tarnished plant bug (left <span class="html-italic">y</span>-axis, black line) and the average number of foliar insecticide applications for tarnished plant bug on treated acres (right <span class="html-italic">y</span>-axis, red line).</p>
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<p>Example of a recommended insecticide application sequence from a Midsouth state. Yellow represents neonicotinoids, purple represents sulfoxaflor, orange represents novaluron, red represents organophosphates and pyrethroids, green represents multiple insecticide classes that can be tank mixed, blue represents the period during which tarnished plant bug is active. Adapted from Gore, Catchot, Cook and Dodds [<a href="#B23-insects-16-00164" class="html-bibr">23</a>].</p>
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<p>Recommended insecticide application sequence from North Carolina for (<b>A</b>) one expected application targeting tarnished plant bug, (<b>B</b>) three applications, and (<b>C</b>) four or more applications. Admire = imidacloprid; Centric = thiamethoxam (neonicotinoid class); Transform = sulfoxaflor; Diamond = novaluron; Orthene = acephate (organophosphate class); Bidrin = dicrotophos (organophosphate). Because tarnished plant bug pressure is not consistent across the state or from year-to-year, growers in an expected one-spray may have to apply an insecticide early, but not late in one year, or late, but not early in another year. However, their insecticide choice is predicated on the time of year that tarnished plant bug exceeds the economic threshold. For example, if the economic threshold was exceeded in June, the grower would be advised to apply Centric. However, if the economic threshold was exceeded in July, the grower would be advised to apply Transform alone if they expected to apply a single insecticide for tarnished plant bug during the year (<b>A</b>). This contrasts with the scenario where the grower expects to exceed the economic threshold multiple times a season (<b>B</b>). In this scenario, if the economic threshold is exceeded in July, the grower would be advised to apply Transform alone if nymphs are not present. If nymphs are present, the grower would be advised to apply Transform with Diamond. If a follow up spray is needed in July or early August, the grower would be advised to apply Transform with either Admire or Centric. If more applications are needed in July or early August, the grower would be advised to rotate applications of Transform and Diamond with applications of Transform and either Admire or Centric (<b>C</b>).</p>
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<p>Recommended insecticide application sequence from North Carolina for (<b>A</b>) one expected application targeting tarnished plant bug, (<b>B</b>) three applications, and (<b>C</b>) four or more applications. Admire = imidacloprid; Centric = thiamethoxam (neonicotinoid class); Transform = sulfoxaflor; Diamond = novaluron; Orthene = acephate (organophosphate class); Bidrin = dicrotophos (organophosphate). Because tarnished plant bug pressure is not consistent across the state or from year-to-year, growers in an expected one-spray may have to apply an insecticide early, but not late in one year, or late, but not early in another year. However, their insecticide choice is predicated on the time of year that tarnished plant bug exceeds the economic threshold. For example, if the economic threshold was exceeded in June, the grower would be advised to apply Centric. However, if the economic threshold was exceeded in July, the grower would be advised to apply Transform alone if they expected to apply a single insecticide for tarnished plant bug during the year (<b>A</b>). This contrasts with the scenario where the grower expects to exceed the economic threshold multiple times a season (<b>B</b>). In this scenario, if the economic threshold is exceeded in July, the grower would be advised to apply Transform alone if nymphs are not present. If nymphs are present, the grower would be advised to apply Transform with Diamond. If a follow up spray is needed in July or early August, the grower would be advised to apply Transform with either Admire or Centric. If more applications are needed in July or early August, the grower would be advised to rotate applications of Transform and Diamond with applications of Transform and either Admire or Centric (<b>C</b>).</p>
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15 pages, 2947 KiB  
Article
Neem and Gliricidia Plant Leaf Extracts Improve Yield and Quality of Leaf Mustard by Managing Insect Pests’ Abundance Without Harming Beneficial Insects and Some Sensory Attributes
by Rowland Maganizo Kamanga, Salifu Bhikha, Felix Dalitso Kamala, Vincent Mgoli Mwale, Yolice Tembo and Patrick Alois Ndakidemi
Insects 2025, 16(2), 156; https://doi.org/10.3390/insects16020156 - 3 Feb 2025
Viewed by 767
Abstract
Production and consumption of vegetable crops has seen a sharp increase in the recent past owing to an increasing recognition of their nutraceutical benefits. In tandem, there has been unwarranted application of agrochemicals such as insecticides to enhance productivity and vegetable quality, at [...] Read more.
Production and consumption of vegetable crops has seen a sharp increase in the recent past owing to an increasing recognition of their nutraceutical benefits. In tandem, there has been unwarranted application of agrochemicals such as insecticides to enhance productivity and vegetable quality, at the cost of human health, and fundamental environmental and ecosystem functions and services. This study was conducted to evaluate the efficacy of neem and gliricidia botanical extracts in managing harmful insect pest populations in leaf mustard. Our results report that neem and gliricidia plant extracts enhance the yield and quality of leaf mustard by reducing the prevalence and feeding activity of harmful insect pests in a manner similar to synthetic insecticides. Some of the key insect pests reduced were Lipaphis erysimi, Pieris oleracea, Phyllotreta Cruciferae, Melanoplus sanguinipes, and Murgantia histrionica. However, compared to synthetic insecticides, neem and gliricidia plant extracts were able to preserve beneficial insects such as the Coccinellidae spp., Trichogramma minutum, Araneae spp., Lepidoptera spp., and Blattodea spp. Furthermore, plant extracts did not significantly alter sensory attributes, especially taste and odor, whereas the visual appearance of leaf mustard was greater in plants sprayed with neem and synthetic insecticides. Physiologically, plant extracts were also able to significantly lower leaf membrane damage as shown through the electrolyte leakage assay. Therefore, these plant extracts represent promising pesticidal plant materials and botanically active substances that can be leveraged to develop environmentally friendly commercial pest management products. Full article
(This article belongs to the Section Insect Pest and Vector Management)
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<p>Leaf mustard plots with 4 blocks in a randomized complete block design.</p>
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<p>Average number of insect pests in treated and untreated plots per scouting week. The values represent weekly means from 4 plots in the 4 blocks.</p>
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<p>Effect of botanical extracts and synthetic insecticide on biological (<b>A</b>) and economic yield (<b>B</b>) of mustard leaves. The values represent means from 10 biological replicates. Different letters indicate significant differences using the Tukey test at a 0.05 level of significance, whereas similar letters indicate no significant differences at a 0.05 level of significance.</p>
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<p>Effect of botanical extracts and synthetic insecticide on economic leaf area of mustard leaves. The values represent means from 10 biological replicates. Different letters indicate significant differences using the Tukey test at a 0.05 level of significance, whereas similar letters indicate no significant differences at a 0.05 level of significance.</p>
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<p>Effect of plant botanical extracts and synthetic insecticides on beneficial insect abundance. The values represent means from 4 plots in the 4 blocks.</p>
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<p>Effect of plant botanical extracts and synthetic insecticides on membrane integrity. The values represent means from 10 biological replicates. Different letters indicate significant differences using the Tukey test at a 0.05 level of significance, whereas similar letters indicate no significant differences at a 0.05 level of significance.</p>
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17 pages, 3811 KiB  
Article
The Entry of Pollinating Fig Wasps Plays a Pivotal Role in the Developmental Phase and Metabolic Expression Changes in Ficus hookeriana Figs
by Ying Zhang, Yunfang Guan, Zongbo Li, Yan Wang, Changqi Chen, Xiaoyan Yang and Yuan Zhang
Forests 2025, 16(1), 165; https://doi.org/10.3390/f16010165 - 16 Jan 2025
Viewed by 682
Abstract
The fig (the syconium of the Ficus tree) and its pollinating fig wasp represent exceptional examples for researching plant–insect interactions due to their remarkable specificity in species interaction and mutually beneficial symbiotic relationship. However, the mechanisms underlying the developmental process of monoecious figs [...] Read more.
The fig (the syconium of the Ficus tree) and its pollinating fig wasp represent exceptional examples for researching plant–insect interactions due to their remarkable specificity in species interaction and mutually beneficial symbiotic relationship. However, the mechanisms underlying the developmental process of monoecious figs in response to the entry of pollinating fig wasps (pollinators) and the metabolic changes occurring during this process remain elusive. Our study employed a combination of controlled experiments in the field and LC-MS methods to investigate the impact of pollinating fig wasp entry on the developmental phase of figs, as well as the metabolic alterations occurring during this process. A total of 381 metabolites and 155 differential metabolites were identified, with the predominant classes of metabolites being organic acids, lipids, and benzene aromatic compounds. The results suggest that in the absence of wasp entry, the receptive phase of fig would exhibit an extended duration. However, upon the entry of fig wasps, the receptive phase of figs would terminate within a span of 1 to 2 days, concomitant with substantial fluctuations in the composition and proportions of metabolites within the fig. Our research focuses on the analysis of linoleic acid metabolism, phenylpropanoid biosynthesis, and flavonoid biosynthesis pathways. Our findings suggest that the entry of wasps triggers alterations in the metabolic regulatory mechanisms of figs. Prior to wasp entry, metabolites primarily regulate fig growth and development. However, after wasp entry, metabolites predominantly govern lipid accumulation and the establishment of defense mechanisms, indicating a transition in fig development. This metabolic perspective explains why figs promptly enter an interflower phase that is not attractive to pollinating fig wasps after their entry, and how figs achieve reproductive balance through the regulation of different metabolic pathways. This study provides scientific evidence for elucidating the stability mechanism of the fig wasp mutualistic system. Full article
(This article belongs to the Section Forest Ecophysiology and Biology)
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<p>Life history of monoecious fig and its pollinating fig wasps.</p>
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<p>The duration of fig receptivity following pollinator entry and in the absence of pollinators. Note: ***: <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Quality control of samples: (<b>a</b>) Total Ion Current Overlap Plot in Mass Spectrometry; (<b>b</b>) Metabolite clustering heatmap. BF: prior to figs entry by pollinators; AF: subsequent to figs entry by pollinators. Note: The relative abundance of metabolites depicted in Figure (<b>b</b>) is represented by color intensity, where red signifies increased expression and blue denotes decreased expression. Positive values indicate up-regulated metabolites, while negative values indicate down-regulated metabolites. Metabolites with similar expression patterns are clustered on the left side of the dendrogram, forming a hierarchical tree of differentially expressed metabolites.</p>
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<p>Metabolite composition analysis: (<b>a</b>) Metabolite categorization pie chart; (<b>b</b>) Metabolite grouping comparison stack; BF: prior to figs entry by pollinators; AF: subsequent to figs entry by pollinators.</p>
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<p>Volcano plot of the differential expression of the metabolites.</p>
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<p>KEGG enrichment analysis and network pathway analysis.</p>
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<p>Linoleic acid metabolism pathway. BF: prior to figs entry by pollinators; AF: subsequent to figs entry by pollinators. Note: Blue and red indicate down-regulation and up-regulation, respectively. Note: The relative abundance of metabolites depicted is represented by color intensity, where red signifies increased expression and blue denotes decreased expression. Positive values indicate up-regulated metabolites, while negative values indicate down-regulated metabolites.</p>
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<p>Phenylpropanoid biosynthesis pathway and flavonoid biosynthesis pathway; BF: prior to figs entry by pollinators; AF: subsequent to figs entry by pollinators. Note: Blue and red indicate down-regulation and up-regulation, respectively. Note: The relative abundance of metabolites depicted is represented by color intensity, where red signifies increased expression and blue denotes decreased expression. Positive values indicate up-regulated metabolites, while negative values indicate down-regulated metabolites.</p>
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15 pages, 2221 KiB  
Article
A Field Trial to Demonstrate the Potential of a Vitamin B Diet Supplement in Reducing Oxidative Stress and Improving Hygienic and Grooming Behaviors in Honey Bees
by Nemanja M. Jovanovic, Uros Glavinic, Jevrosima Stevanovic, Marko Ristanic, Branislav Vejnovic, Slobodan Dolasevic and Zoran Stanimirovic
Insects 2025, 16(1), 36; https://doi.org/10.3390/insects16010036 - 2 Jan 2025
Viewed by 882
Abstract
The honey bee is an important insect pollinator that provides critical pollination services for natural and agricultural systems worldwide. However, inadequate food weakens honey bee colonies, making them vulnerable to various biotic and abiotic factors. In this study, we examined the impact of [...] Read more.
The honey bee is an important insect pollinator that provides critical pollination services for natural and agricultural systems worldwide. However, inadequate food weakens honey bee colonies, making them vulnerable to various biotic and abiotic factors. In this study, we examined the impact of supplementary feeding on bees’ genes for antioxidative enzymes and vitellogenin, oxidative stress parameters, and the hygienic and grooming behavior. The colonies were divided into two experimental groups (with ten hives each): a treatment group that received the plant-based supplement and a control group. The experiment was conducted in two seasons, spring and summer. After the treatment, in both seasons, all the monitored parameters in the treatment group differed from those in the control group. The expression levels of genes for antioxidative enzymes were significantly lower, but the vitellogenin gene transcript level was significantly higher. Values of oxidative stress parameters were significantly lower. The levels of hygienic and grooming behavior were significantly higher. Therefore, our field study indicates that the tested supplement exerted beneficial effects on bees, reflected in reduced oxidative stress and enhanced hygienic and grooming behavior. Full article
(This article belongs to the Special Issue Current Advances in Pollinator Insects)
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<p>Experimental design. Sampling and evaluations were performed at four time points during the experiment: before (TP1) and after (TP2) the first phase, and before (TP3) and after (TP4) the second phase.</p>
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<p>Comparison of expression levels of vitellogenin in different sampling occasions between treatment and control group. *** <span class="html-italic">p</span> &lt; 0.001; TP1—summer before treatment; TP2—summer after treatment; TP3—spring before treatment; TP4—spring after treatment; TG—Treatment group; CG—Control group. Error bar stands for standard deviation.</p>
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<p>Comparison of expression levels of (<b>A</b>) CuZn superoxide dismutase, (<b>B</b>) Mn superoxide dismutase, (<b>C</b>) catalase, and (<b>D</b>) glutathione S-transferase in different sampling occasions between treatment and control group. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; TP1—summer before treatment; TP2—summer after treatment; TP3—spring before treatment; TP4—spring after treatment; TG—Treatment group; CG—Control group. Error bar stands for standard deviation.</p>
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<p>Comparison of activity of (<b>A</b>) superoxide dismutase, (<b>B</b>) catalase, (<b>C</b>) glutathione S-transferase, and (<b>D</b>) concentration of malonyl-dialdehyde in different sampling occasions between treatment and control group. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; TP1—summer before treatment; TP2—summer after treatment; TP3—spring before treatment; TP4—spring after treatment; TG—Treatment group; CG—Control group. Error bar stands for standard deviation.</p>
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<p>Comparison of (<b>A</b>) hygienic and (<b>B</b>) grooming behavior in different occasions between treatment and control group. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; TP1—summer before treatment; TP2—summer after treatment; TP3—spring before treatment; TP4—spring after treatment; TG—Treatment group; CG—Control group. Error bar stands for standard deviation.</p>
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20 pages, 3229 KiB  
Article
Fruit Flies (Diptera: Tephritidae) in Minas Gerais, Brazil: Trophic Interactions and New Reports
by Rosamara Souza Coelho, Clarice Alvarenga, Marvin Pec, Ana Luisa Rodrigues-Silva, Pedro Maranha Peche, Emanoel Alves and Rosangela Marucci
Insects 2025, 16(1), 17; https://doi.org/10.3390/insects16010017 - 28 Dec 2024
Viewed by 678
Abstract
A diverse orchard with fruit fly hosts may provide information about trophic relationships, including new insights into beneficial insects. We evaluated the composition of the fruit fly complex to provide information on tephritid species, parasitoids and multitrophic interactions for the southern region of [...] Read more.
A diverse orchard with fruit fly hosts may provide information about trophic relationships, including new insights into beneficial insects. We evaluated the composition of the fruit fly complex to provide information on tephritid species, parasitoids and multitrophic interactions for the southern region of Minas Gerais, Brazil. Sampling was carried out using traps and by collecting fruits from plants and/or the ground according to availability/the fruiting period. Occurrences of Anastrepha amita Zucchi and A. punctata Hendel were recorded for the first time in the state of Minas Gerais, and new trophic associations were obtained for A. bahiensis Lima, A. bistrigata Bezzi, A. fraterculus (Wiedemann), A. obliqua (Macquart) and Ceratitis capitata (Wiedemann). Ten tephritid species were obtained from trap sampling, with C. capitata, A. fraterculus and A. obliqua being the most abundant. Five species of fruit flies and seven species of parasitoids were obtained from fruits. The braconid Doryctobracon areolatus (Szépligeti) was the most frequently collected among the parasitoid species. Pitanga (Eugenia uniflora L.) and purple guava (Psidium myrtoides O. Berg) fruits were classified as repositories of fruit fly parasitoids. Full article
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<p>Fruit fly females (Diptera: Tephritidae) per total fruit mass collected in an experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil, during the period February 2019 to June 2021. Bars represent the mean number of captured specimens, and lines represent the standard error.</p>
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<p>Coleman rarefaction curve and bootstrap richness estimator of fruit fly species (Diptera: Tephritidae) obtained from fruits collected in an experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil, during the period from February 2019 to June 2021. (<b>A</b>) Observed richness. (<b>B</b>) Observed richness and bootstrap richness estimator. The lines represent the observed and estimated richness. The shaded areas represent the standard error.</p>
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<p>Heatmap of the interactions between fruit fly species (Diptera: Tephritidae) and host plants from the experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil. Darker tones indicate stronger interactions, and lighter tones indicate weaker interactions.</p>
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<p>Mean numbers of fruit fly parasitoids per total fruit mass collected in an experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil, during the period February 2019 to June 2021. The bars represent the mean number of specimens captured, and the lines represent the standard error.</p>
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<p>Coleman rarefaction curve and bootstrap richness estimator of parasitoid species obtained from fruit flies infesting fruits collected in an experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil, during the period of February 2019 to June 2021. (<b>A</b>) Observed richness. (<b>B</b>) Observed richness and bootstrap richness estimator. The lines represent the observed and estimated richness. The shaded areas represent the standard error.</p>
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<p>Heatmap of the interactions of parasitoid species with fruit infested by fruit flies from the experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil. Darker tones indicate stronger interactions, and lighter tones indicate weaker interactions.</p>
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<p>Coleman rarefaction curve and bootstrap richness estimator of in an experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil, from November 2019 to April 2021. (<b>A</b>) Observed richness. (<b>B</b>) Observed richness and bootstrap richness estimator. The lines represent the observed and estimated richness. The shaded areas represent the standard error.</p>
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<p>Population fluctuation of the most abundant fruit fly species collected using McPhail traps in an experimental orchard of the Federal University of Lavras (UFLA), Minas Gerais, Brazil, during the period from November 2019 to April 2021 (<b>A</b>) and temporal patterns of availability for host plant species throughout the year at the Federal University of Lavras (UFLA), Minas Gerais, Brazil (<b>B</b>).</p>
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16 pages, 2853 KiB  
Article
Maize Herbivore-Induced Volatiles Enhance Xenobiotic Detoxification in Larvae of Spodoptera frugiperda and S. litura
by Peng Wang, Qiyue Zeng, Yi Zhao, Xiaomin Sun, Yongqiang Han, Rensen Zeng, Yuanyuan Song, Dongmei Chen and Yibin Lin
Plants 2025, 14(1), 57; https://doi.org/10.3390/plants14010057 - 27 Dec 2024
Viewed by 597
Abstract
The release of herbivore-induced plant volatiles (HIPVs) has been recognized to be an important strategy for plant adaptation to herbivore attack. However, whether these induced volatiles are beneficial to insect herbivores, particularly insect larvae, is largely unknown. We used the two important highly [...] Read more.
The release of herbivore-induced plant volatiles (HIPVs) has been recognized to be an important strategy for plant adaptation to herbivore attack. However, whether these induced volatiles are beneficial to insect herbivores, particularly insect larvae, is largely unknown. We used the two important highly polyphagous lepidopteran pests Spodoptera frugiperda and S. litura to evaluate the benefit on xenobiotic detoxification of larval exposure to HIPVs released by the host plant maize (Zea mays). Larval exposure of the invasive alien species S. frugiperda to maize HIPVs significantly enhanced their tolerance to all three of the well-known defensive compounds 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one (DIMBOA), chlorogenic acid, and tannic acid in maize and the two commonly used insecticides methomyl and chlorpyrifos. HIPV exposure also improved the larval tolerance of S. litura third instars to chlorogenic and tannic acids. Furthermore, larval exposure to either maize HIPVs or DIMBOA induced the activities of cytochrome P450 enzymes (P450s), glutathione-s-transferase (GST), and carboxylesterase (CarE) in the midguts and fat bodies of the two insects, while the induction was significantly higher by the two components together. In addition, the expression of four genes encoding uridine diphosphate (UDP)-glycosyltransferases (UGT33F28, UGT40L8) and P450s (CYP4d8, CYP4V2) showed similar induction patterns in S. frugiperda. Cis-3-hexen-1-ol, an important component in maize HIPVs, also showed the same functions as maize HIPVs, and its exposure increased larval xenobiotic tolerance and induced the detoxification enzymes and gene expression. Our findings demonstrate that HIPVs released by the pest-infested host plants are conductive to the xenobiotic tolerance of lepidopteran insect larvae. Hijacking the host plant HIPVs is an important strategy of the invasive alien polyphagous lepidopteran pest to counter-defend against the host plant’s chemical defense. Full article
(This article belongs to the Special Issue Allelopathy in Agroecosystems)
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<p>Weight gain of 3rd and 4th instar larvae of <span class="html-italic">S. frugiperda</span> and <span class="html-italic">S. litura</span> fed on artificial diets containing DIMBOA, chlorogenic acid, and tannic acid with or without exposure to maize HIPVs. The larvae were exposed to HIPVs released from living maize plants as shown in <a href="#app1-plants-14-00057" class="html-app">Figure S1</a>. Weight gain of 3rd and 4th instar larvae fed on artificial diets without toxin addition (<b>A</b>,<b>B</b>), containing 1 μg·g<sup>−1</sup> DIMBOA diet (<b>C</b>,<b>F</b>), 3 μg·g<sup>−1</sup> chlorogenic acid (<b>D</b>,<b>G</b>), and 2 μg·g<sup>−1</sup> tannic acid (<b>E</b>,<b>H</b>) for 48 h. Data are mean ± SE (n = 25). Asterisks indicate significant differences in comparison with control (Student’s <span class="html-italic">t</span>-test, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, ns, <span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Insecticide tolerance of <span class="html-italic">S. frugiperda</span> and <span class="html-italic">S. litura</span> larvae to methomyl and chlorpyrifos after exposure to maize HIPVs. The larvae were exposed to HIPVs released from living maize plants as shown in <a href="#app1-plants-14-00057" class="html-app">Figure S1</a>. Larval mortality was measured 24 h after exposure to maize HIPVs and methomyl (<b>A</b>) or chlorpyrifos (<b>B</b>). Asterisks indicate significant differences in comparison with unexposed control (Student’s <span class="html-italic">t</span>-test, ** <span class="html-italic">p</span> &lt; 0.01, ns, <span class="html-italic">p</span> &gt; 0.05). Tolerance to methomyl (<b>C</b>) and chlorpyrifos (<b>D</b>) after exposure of <span class="html-italic">S. frugiperda</span> larvae to maize HIPVs and the insecticide synergist piperonyl butoxide (PBO). Data are mean ± SE (n = 20). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between different treatments (Two-way ANOVA).</p>
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<p>Effects of larval exposure to maize HIPVs on the developmental process of <span class="html-italic">S. litura</span> and <span class="html-italic">S. frugiperda</span>. (<b>A</b>) Egg hatching rate, (<b>B</b>) pupation rate, and (<b>C</b>) emergence rate. Data are mean ± SE (n = 100). Asterisks indicate significant differences in comparison with unexposed control (ns, <span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Activities of cytochrome P450 enzymes (P450s), glutathione-s-transferase (GST), and carboxylesterase (CarE) in the midguts and fat bodies of 4th instars of <span class="html-italic">S. litura</span> and <span class="html-italic">S. frugiperda</span> after exposure to maize HIPVs and feeding on DIMBOA-containing diets. P450s activities in the midguts (<b>A</b>,<b>B</b>) and fat bodies (<b>C</b>,<b>D</b>), GST activities in the midguts (<b>E</b>,<b>F</b>) and fat bodies (<b>G</b>,<b>H</b>), and CaeE activities in the midguts (<b>I</b>,<b>J</b>) and fat bodies (<b>K</b>,<b>L</b>) of <span class="html-italic">S. litura</span> and <span class="html-italic">S. frugiperda,</span> respectively. The larvae were exposed to maize HIPVs and 1 μg·g<sup>−1</sup> DIMBOA diet for 24 h. Tissues dissected from five larvae were pooled, and four biological replicates were run for each treatment. Data are mean ± SE (n = 4). Asterisks indicate significant differences in comparison with control (Student’s <span class="html-italic">t</span>-test if the interaction between HIPVs and DIMBOA was not significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). Different letters above bars indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05) according to two-way ANOVA with Tukey’s multiple comparison test (if the interaction between HIPVs and DIMBOA was significant).</p>
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<p>Transcript levels of <span class="html-italic">UGT33F28</span>, <span class="html-italic">UGT40L8</span>, <span class="html-italic">LOC118270728</span>, <span class="html-italic">CYP4d8,</span> and <span class="html-italic">CYP4V2</span> in the midguts and fat bodies of 4th instars of <span class="html-italic">S. frugiperda</span> after exposure to maize HIPVs and feeding on DIMBOA-containing diet. The larvae were exposed to maize HIPVs and 1 μg·g<sup>−1</sup> DIMBOA diet for 24 h. Tissues dissected from five larvae were pooled, and three biological replicates were run for each treatment. Data are mean ± SE (n = 20). Asterisks indicate significant differences in comparison with control (Student’s <span class="html-italic">t</span>-test if the interaction between HIPVs and DIMBOA was not significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, ns, <span class="html-italic">p</span> &gt; 0.05). Different letters above bars indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05) according to two-way ANOVA with Tukey’s multiple comparison test (if the interaction between HIPVs and DIMBOA was significant).</p>
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<p>Weight gain of 4th instars of <span class="html-italic">S. litura</span> and <span class="html-italic">S. frugiperda</span> fed on diets containing 1 μg·g<sup>−1</sup> DIMBOA (<b>A</b>) and 3 μg·g<sup>−1</sup> chlorogenic acid (CA) (<b>B</b>) after exposure to volatile compound cis-3-hexen-1-ol (cis-3-HXO). The larvae were exposed to volatile cis-3-HXO as shown in <a href="#app1-plants-14-00057" class="html-app">Figure S2</a>. Data are mean ± SE (n = 50). Asterisks indicate significant differences in comparison with unexposed control (Student’s <span class="html-italic">t</span>-test, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Activities of cytochrome P450 enzymes (P450s) (<b>A</b>–<b>D</b>), glutathione-s-transferase (GST) (<b>E</b>–<b>H</b>), and carboxylesterase (CarE) (<b>I</b>–<b>L</b>) in the midguts and fat bodies of 4th instars of <span class="html-italic">Spodoptera litura</span> and <span class="html-italic">S. frugiperda</span> after exposure to cis-3-hexen-1-ol (cis-3-HXO) and feeding on DIMBOA-containing diet. The larvae were exposed to cis-3-hexen-1-ol (cis-3-HXO) and 1 μg·g<sup>−1</sup> DIMBOA diet for 24 h. Asterisks indicate significant differences in comparison with control (Student’s <span class="html-italic">t</span>-test if the interaction between HIPVs and DIMBOA was not significant, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, ns, <span class="html-italic">p</span> &gt; 0.05). Different letters above bars indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05) according to two-way ANOVA with Tukey’s multiple comparison test (if the interaction between HIPVs and DIMBOA was significant).</p>
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<p>Transcript levels of <span class="html-italic">UGT33F28</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">UGT40L8</span> (<b>B</b>,<b>D</b>) in the midguts (<b>A</b>,<b>B</b>) and fat bodies (<b>C</b>,<b>D</b>) of 4th instars of <span class="html-italic">Spodoptera frugiperda</span> after exposure to volatile cis-3-hexen-1-ol (cis-3-HXO) and feeding on DIMBOA-containing diet. The larvae were exposed to cis-3-HXO and 1 μg·g<sup>−1</sup> DIMBOA diet for 24 h. The other information is described in <a href="#plants-14-00057-f007" class="html-fig">Figure 7</a>. Different letters above bars indicate significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05) according to two-way ANOVA with Tukey’s multiple comparison test.</p>
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17 pages, 2764 KiB  
Article
Impact of Edible Insect Polysaccharides on Mouse Gut Microbiota: A Study on White-Spotted Flower Chafer Larva (Protaetia brevitarsis seulensis) and Silkworm Pupa (Bombyx mori)
by Joon-Ha Lee, Hyojung Son, Sathiyamoorthy Subramaniyam, Hyun-Jung Lim, Sohyun Park, Ra-Yeong Choi, In-Woo Kim, Minchul Seo, Hae-Yong Kweon, Yongsoon Kim, Seong-Wan Kim, Jong-Soon Choi and Younhee Shin
Foods 2025, 14(1), 6; https://doi.org/10.3390/foods14010006 - 24 Dec 2024
Viewed by 923
Abstract
The increasing global population and the environmental consequences of meat consumption have led to the exploration of alternative sources of protein. Edible insects have gained attention as a sustainable and nutritionally rich meat alternative. We investigated the effects of two commonly consumed insects, [...] Read more.
The increasing global population and the environmental consequences of meat consumption have led to the exploration of alternative sources of protein. Edible insects have gained attention as a sustainable and nutritionally rich meat alternative. We investigated the effects of two commonly consumed insects, Protaetia brevitarsis seulensis larva and Bombyx mori pupa, on beneficial gut microbiota growth, using whole 16s metagenome sequencing to assess diet-associated changes. Seven-week-old female C57BL/6J mice were administered the edible insects, along with fracto-oligosaccharide (FOS) as a positive control and sham (phosphate buffer saline (PBS)) as a negative control, to assess the relative abundance of insect-diet-associated gut microbes. In total, 567 genera and 470 species were observed, and among these, 15 bacterial genera were differentially abundant in all three groups. These results show that among the two insects, Bombyx mori pupa polysaccharides have a greater ability to regulate beneficial probiotics and next-generation probiotics. In particular, Lactococcus garvieae, which has promising effects on the gastrointestinal tracts of humans and animals, was significantly enriched in both Protaetia brevitarsis seulensis larva and Bombyx mori pupa polysaccharides, similar to fracto-oligosaccharide. The results suggest that the consumption of these insects, particularly polysaccharides, can enhance the growth of beneficial gut microbes, potentially leading to improved overall health in healthy populations. Full article
(This article belongs to the Section Nutraceuticals, Functional Foods, and Novel Foods)
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<p>HPLC profile of the monosaccharide composition of the polysaccharides following hydrolysis and derivatization. Standard monosaccharides, Pbs larva, and Bm pupa monosaccharides. Mannose (Man), rhamnose (Rha), glucuronic acid (GlcA), galacturonic acid (GalA), glucose (Glc), galactose (Gal), and arabinose (Ara).</p>
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<p>Summary graphs of sequencing data: (<b>A</b>) cumulative processed sequence summary; (<b>B</b>) sequenced reads from individual samples.</p>
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<p>Diversity of sequenced samples: (<b>A</b>) alpha diversity calculated from observed features; (<b>B</b>) beta diversity calculated from the Jaccard PCoA.</p>
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<p>Relative abundances of OTUs at the observed taxonomic level, both at the class level (<b>A</b>) and phylum level (<b>B</b>).</p>
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<p>A summary of the relative and differential abundances of mouse gut microbes. (<b>A</b>) The number of genera at differential abundances for each group compared with the control is displayed. (<b>B</b>) The bubble graph representation of the differential abundance microbes is shown. (<b>C</b>) The combination of differential abundance microbes is presented.</p>
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<p>A summary of the species-level differential abundance. (<b>A</b>) A list of probiotic species that are differentially abundant. (<b>B</b>) The microbial abundance values for the target probiotic species. * significant (q ≤ 0.5).</p>
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23 pages, 2611 KiB  
Article
Effects of Intercropped Insectary Plants (Sweet Alyssum, Coriander, and White Mustard) on Elemental Composition and Antioxidant Levels in Broad Bean Plants
by Janina Gospodarek, Gedyon Tamiru, Aleksandra Nadgórska-Socha, Marta Kandziora-Ciupa and Iwona B. Paśmionka
Molecules 2024, 29(24), 6031; https://doi.org/10.3390/molecules29246031 - 21 Dec 2024
Viewed by 785
Abstract
Insectary plants, such as sweet alyssum, coriander, and white mustard, are well known for their traits that attract beneficial insects, allowing them to protect crops from pests. The aim of the study was to analyze the compounds that are important in the antioxidant [...] Read more.
Insectary plants, such as sweet alyssum, coriander, and white mustard, are well known for their traits that attract beneficial insects, allowing them to protect crops from pests. The aim of the study was to analyze the compounds that are important in the antioxidant response, such as malondialdehyde, ascorbic acid, proline, total phenolics, and total flavonoids, as well as the content of elements, including macroelements (K, Mg, Na, Ca, P, and S) and heavy metals (Cd, Cu, Zn, Pb, Ni, Mn, and Fe) in broad bean plants. These plants were grown in field conditions as the main protected plant alongside a mixture of three insectary plants at different proportions of the individual components. The soil was analyzed in terms of the above-mentioned elements, as well as in terms of its enzymatic activity (arylsulfatase, β-glucosidase, dehydrogenase, FDA (fluorescein diacetate), and acid phosphatase). The introduction of insectary plant mixtures did not cause major changes in the content of the elements in the soil. The changes in the content of elements in broad bean leaves depended on the type of element and the proportion of individual components in the companion plant mixture. However, a general trend of increasing macronutrient content was observed, influenced by the presence of companion plants. All types of companion plant mixtures used enhanced the activity of FDA, while the mixture with 50% sweet alyssum additionally caused an increase in arylsulfatase activity (more than 2 fold). The companion plants improved the physiological condition of the protected plant, which was reflected in the reduced content of proline and total flavonoids. Considering the response of the protected plant to the proposed intercropped plant mixtures and their effect on broad bean growth, it appears that the most suitable mixtures are those with an equal share of all three plant species or a mixture with a predominance of sweet alyssum. Full article
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<p>Soil enzyme activity levels. (<b>a</b>) Arylsulfatase; (<b>b</b>) <span class="html-italic">β</span>-glucosidase; (<b>c</b>) dehydrogenase; (<b>d</b>) FDA; (<b>e</b>) acid phosphatase. For description of treatments, see <a href="#molecules-29-06031-t001" class="html-table">Table 1</a>. Different letters above bars indicate statistically significant differences (<span class="html-italic">p</span> ≤ 0.05, Tukey’s test).</p>
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<p>Physiological parameters in broad bean leaves. (<b>a</b>) malondialdehyde (MDA) content; (<b>b</b>) ascorbic acid content; (<b>c</b>) proline content; (<b>d</b>) total phenolics (TP) content; (<b>e</b>) total flavonoids (TF) content. For description of treatments, see <a href="#molecules-29-06031-t001" class="html-table">Table 1</a>. Different letters above bars indicate statistically significant differences (<span class="html-italic">p</span> ≤ 0.05, Tukey’s test). Where letters are not present, no significant differences were found.</p>
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<p>Principal component analysis of element levels and enzymatic activity of the soil. Symbols as in <a href="#molecules-29-06031-t001" class="html-table">Table 1</a> and <a href="#molecules-29-06031-f001" class="html-fig">Figure 1</a>.</p>
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<p>Principal component analysis of element levels and physiological parameters of the broad bean. Symbols as in <a href="#molecules-29-06031-t001" class="html-table">Table 1</a> and <a href="#molecules-29-06031-f002" class="html-fig">Figure 2</a>.</p>
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<p>Principal component analysis of growth parameters of the broad bean. Symbols as in <a href="#molecules-29-06031-t001" class="html-table">Table 1</a>.</p>
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24 pages, 9916 KiB  
Article
16S rRNA Sequencing Analysis Uncovers Dose-Dependent Cupric Chloride Effects on Silkworm Gut Microbiome Composition and Diversity
by Wantao Rong, Yanqi Wei, Yazhen Chen, Lida Huang, Shuiwang Huang, Yiwei Lv, Delong Guan and Xiaodong Li
Animals 2024, 14(24), 3634; https://doi.org/10.3390/ani14243634 - 17 Dec 2024
Viewed by 747
Abstract
Copper-based pesticides are extensively used in agriculture, yet their impacts on beneficial insects remain poorly understood. Here, we investigate how cupric chloride exposure affects the gut microbiome of Bombyx mori, a model organism crucial for silk production. Using 16S rRNA sequencing, we analyzed [...] Read more.
Copper-based pesticides are extensively used in agriculture, yet their impacts on beneficial insects remain poorly understood. Here, we investigate how cupric chloride exposure affects the gut microbiome of Bombyx mori, a model organism crucial for silk production. Using 16S rRNA sequencing, we analyzed the gut bacterial communities of fifth-instar silkworm larvae exposed to different concentrations of cupric chloride (0, 4, and 8 g/kg) in an artificial diet. The high-dose exposure dramatically altered the microbial diversity and community structure, where the Bacteroidota abundance decreased from 50.43% to 23.50%, while Firmicutes increased from 0.93% to 18.92%. A network analysis revealed complex interactions between the bacterial genera, with Proteobacteria and Firmicutes emerging as key players in the community response to copper stress. The functional prediction indicated significant shifts in metabolic pathways and genetic information processing in the high-dose group. Notably, the low-dose treatment induced minimal changes in both the taxonomic composition and predicted functions, suggesting a threshold effect in the microbiome response to copper exposure. Our findings provide novel insights into how agricultural chemicals influence insect gut microbiota and highlight potential implications for silkworm health and silk production. This work contributes to understanding the ecological impacts of copper-based pesticides and may inform evidence-based policies for their use in sericulture regions. Full article
(This article belongs to the Special Issue Microbiome, Immune and Intestinal Health in Animals)
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<p>Relative abundance of bacterial phyla in the silkworm gut microbiome under different cupric chloride exposure conditions. The stacked bar plot shows the taxonomic composition at the phylum level for the control group (CMK), low-dose cupric chloride group (CMF, 4 g/kg), and high-dose cupric chloride group (CME, 8 g/kg). Each bar represents the mean relative abundance of the bacterial phyla across the replicates (<span class="html-italic">n</span> = 7). The phyla with relative abundances less than 1% in all groups are combined into the “Others” category.</p>
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<p>Heatmap showing the relative abundances of bacterial phyla in the silkworm gut microbiome under different cupric chloride exposure conditions. Each column represents a treatment group, and each row represents a bacterial phylum. The color scale ranges from green (lower abundance) to red (higher abundance), with white indicating values close to the mean. Hierarchical clustering was performed on both rows and columns using the Euclidean distance and complete linkage method.</p>
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<p>Ternary plot illustrating the differential distribution of dominant bacterial phyla in the silkworm gut microbiome under cupric chloride exposure.</p>
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<p>Principal Coordinate Analysis (PCoA) of the silkworm gut microbiome beta diversity based on the unweighted UniFrac distances. Each point represents an individual sample, and ellipses represent 95% confidence intervals for each group.</p>
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<p>T-test-based beta diversity analysis of the ASV-level species differences between the groups in the silkworm gut microbiome under the cupric chloride exposure. (<b>A</b>) CMK vs. CME: comparison between the control group (CMK) and the high-dose cupric chloride group (CME, 8 g/kg). (<b>B</b>) CMF vs. CME: comparison between the low-dose cupric chloride group (CMF, 4 g/kg) and the high-dose cupric chloride group (CME, 8 g/kg). Each point represents a bacterial phylum. The x-axis shows the mean difference in relative abundance between the groups, while the y-axis indicates the negative logarithm of the <span class="html-italic">p</span>-value (−log10(<span class="html-italic">p</span>)). Dashed vertical lines indicate the threshold for 2-fold change in relative abundance.</p>
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<p>Linear discriminant analysis (LDA) effect size (LEfSe) of bacterial taxa in the silkworm gut microbiome under different cupric chloride exposure conditions. Each bar represents a specific bacterial taxon identified as a potential biomarker, with the length of the bar indicating the magnitude of the difference in abundance (LDA score &gt; 4).</p>
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<p>Heatmap of differential abundance analysis for the top 35 microbial taxa at the phylum level in the silkworm gut microbiome under cupric chloride exposure. The heatmap displays the relative abundance (Z-score normalized) of the top 35 microbial taxa across all samples. The rows represent individual phyla, while the columns represent individual samples. The dendrograms show hierarchical clustering of the samples (top) and phyla (left).</p>
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<p>Network analysis of microbial interactions in the silkworm gut microbiome under cupric chloride exposure. Nodes represent the different genera, with the node size proportional to the degree of connectivity (number of connections). The node colors indicate different phyla, as shown in the legend. The edges between nodes represent significant correlations (|r| &gt; 0.8) between genera, with the edge thickness proportional to the absolute correlation coefficient. Orange edges indicate positive correlations, while purple edges represent negative correlations.</p>
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<p>Clustered heatmap of PICRUSt2 functional annotation based on ASV data in the silkworm gut microbiome under cupric chloride exposure. Each row represents a functional category, while each column represents a sample. The color scale ranges from green (low relative abundance) to red (high relative abundance). Both the functional categories and samples were hierarchically clustered, as shown by the dendrograms on the left and top of the heatmap, respectively.</p>
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<p>PCoA of predicted functional profiles based on the PICRUSt2 annotation of ASV data in the silkworm gut microbiome under the cupric chloride exposure. Each point represents an individual sample, and the colors indicate different treatment groups: CMK (orange), CMF (green), and CME (purple). The ellipses represent the 95% confidence intervals.</p>
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<p>Differential KEGG pathway analysis based on PICRUSt2 predictions comparing treatment groups. (<b>A</b>) CMK vs. CME; (<b>B</b>) CMF vs. CME. The length of each bar represents the negative logarithm of the <span class="html-italic">p</span>-value (−log10(<span class="html-italic">p</span>)).</p>
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<p>Differential KEGG pathway analysis based on PICRUSt2 predictions comparing treatment groups. (<b>A</b>) CMK vs. CME; (<b>B</b>) CMF vs. CME. The length of each bar represents the negative logarithm of the <span class="html-italic">p</span>-value (−log10(<span class="html-italic">p</span>)).</p>
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<p>Relative contributions of the bacterial genera to the key metabolic pathways across cupric chloride treatment groups, as predicted by PICRUSt2. (<b>A</b>) Superpathway of tetrahydrofolate biosynthesis (PWY-6612). (<b>B</b>) Superpathway of Clostridium acetobutylicum acidogenic fermentation (PWY-6590). Stacked bar plots represent the relative abundances of bacterial genera that contributed to each pathway. Each bar corresponds to a sample, with samples grouped by treatment: CMK (control), CMF (low-dose cupric chloride), and CME (high-dose cupric chloride). Colors denote different bacterial genera, with the most abundant genera labeled in the legend. The y-axis shows the relative abundance of each pathway, while the x-axis represents individual samples within each treatment group.</p>
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21 pages, 1172 KiB  
Review
Exploring Regenerative Aquaculture Initiatives for Climate-Resilient Food Production: Harnessing Synergies Between Technology and Agroecology
by Erick Ogello, Mavindu Muthoka and Nicholas Outa
Aquac. J. 2024, 4(4), 324-344; https://doi.org/10.3390/aquacj4040024 - 5 Dec 2024
Cited by 1 | Viewed by 2417
Abstract
This review evaluates regenerative aquaculture (RA) technologies and practices as viable pathways to foster resilient, ecologically restorative aquaculture systems. The key RA technologies examined include modern periphyton technology (PPT), biofloc technology (BFT), integrated multitrophic aquaculture (IMTA), and alternative feed sources like microalgae and [...] Read more.
This review evaluates regenerative aquaculture (RA) technologies and practices as viable pathways to foster resilient, ecologically restorative aquaculture systems. The key RA technologies examined include modern periphyton technology (PPT), biofloc technology (BFT), integrated multitrophic aquaculture (IMTA), and alternative feed sources like microalgae and insect-based diets. PPT and BFT leverage microbial pathways to enhance water quality, nutrient cycling, and fish growth while reducing environmental pollutants and reliance on conventional feed. IMTA integrates species from various trophic levels, such as seaweeds and bivalves, to recycle waste and improve ecosystem health, contributing to nutrient balance and reducing environmental impact. Microalgae and insect-based feeds present sustainable alternatives to fishmeal, promoting circular resource use and alleviating pressure on wild fish stocks. Beyond these technologies, RA emphasizes sustainable practices to maintain fish health without antibiotics or hormones. Improved disease monitoring programs, avoidance of unprocessed animal by-products, and the use of generally recognized as safe (GRAS) substances, such as essential oils, are highlighted for their role in disease prevention and immune support. Probiotics are also discussed as beneficial microbial supplements that enhance fish health by promoting gut microbiota balance and inhibiting harmful pathogens. This review, therefore, marks an important and essential step in examining the interconnectedness between technology, agroecology, and sustainable aquaculture. This review was based on an extensive search of scientific databases to retrieve relevant literature. Full article
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<p><b>Preferred reporting items for systematic reviews and meta-analyses</b> (PRISMA) statement process undertaken for the selection of relevant articles.</p>
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<p>A diagram showing the biological processes in a BFT. Adapted from Pérez-Rostro et al. [<a href="#B66-aquacj-04-00024" class="html-bibr">66</a>].</p>
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