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Biology subjects

Silvaraju, S.

Publications and source records attributed to Silvaraju, S..

3 recordsLinked to original sources

Transgenerational dynamics of gut microbiota in black soldier fly larvae (Hermetia illucens) reared on a novel substrate

Understanding the transgenerational dynamics of gut microbiota in black soldier fly larvae (BSFL) is essential for optimizing their performance on novel waste substrates in industrial settings. In this study, a wild-type BSF population was divided into six sub-lines and reared over four generations: one on standard chicken feed (CF), five on a novel diet (WIL), four of which were additionally subjected to directional selection for larval size. Despite their shared genetic origin, sub-lines exhibited divergent trajectories in larval weight and gut bacterial composition. Larval weight increased up to the second (G2) or third generation (G3) but declined sharply at generation four (G4) across all lines. Parent-offspring regressions indicated low narrow-sense heritability and minimal genetic contribution to larval weight. Gut microbiota analysis revealed that early developmental stages were most sensitive to generational shifts, with G3 to G4 transitions showing the strongest shifts in microbial communities. Notably, certain taxa such as Bacillus and Paenibacillus, involved in cellulose degradation, peaked in G2 to G3 but declined at G4, whereas Klebsiella, associated with immune modulation, became more abundant. These trends suggested a shift from growth-associated to digestion-oriented microbial strategies under prolonged dietary stress. However, the absence of universally beneficial taxa and the stochastic emergence of distinct microbial patterns across sub-lines highlighted the plastic and lineage-specific nature of the BSFL gut microbiota. This study emphasizes the critical need for maintaining large, genetically and microbially diverse populations in BSF breeding programs to support long-term stability and avoid performance decline when adapting to novel or suboptimal substrates. ImportanceThe black soldier fly is increasingly used worldwide to convert organic waste into high-value protein, but the long-term stability of its gut microbiota on novel diets remains poorly understood. This study examined transgenerational changes in larval gut microbial communities from a single genetic population reared on a novel diet, with and without selection for larval size. Despite a shared genetic origin, sub-lines developed distinct microbiota and growth patterns, with early developmental stages showing the greatest sensitivity to generational microbial shifts. Initial increases in certain bacterial groups were followed by community restructuring by the fourth generation, indicating a dynamic but unstable microbial response to prolonged dietary stress. These findings highlight the importance of preserving microbial and genetic diversity when breeding black soldier flies for industrial use. Understanding how microbiota respond to selection and diet across generations is essential for sustaining performance and ensuring resilience in large-scale black soldier fly production systems.

microbiology↗

Evolution under Domestication: Genetic differentiation in black soldier fly (Hermetia illucens) populations subjected to recent selective breeding

The black soldier fly (BSF; Hermetia illucens) is widely utilized in commercial and research applications for waste bioconversion and sustainable protein production. However, prolonged captivity and artificial selection can shape genetic diversity, potentially influencing adaptability and long-term population stability. This study examined how recent selective breeding, genetic drift, and relaxed selection have influenced genetic differentiation in BSF populations over a short timeframe. Using mitochondrial cytochrome oxidase I (CO1) and genome-wide RAD sequencing, population structure, heterozygosity, and selection signatures across eleven BSF populations, including selectively bred, wild-derived, and commercial strains were analysed. Results revealed that rapid genetic shifts have occurred within selectively bred populations (LA to LE) over [~]5 years, driven by artificial selection, subsequent relaxation, and environmental adaptation. The decline in effective population size (Ne) observed post-COVID-19 suggests recent bottlenecks, which may have further contributed to genetic drift and differentiation. While domesticated populations exhibited reduced genetic diversity and signs of inbreeding, wild-type population under short captivity retained higher heterozygosity. Genome-wide analyses further identified adaptive divergence among populations, with balancing selection and selective sweeps shaping genetic variation. Notably, despite shared ancestry, genetic differentiation persisted in selectively bred populations, reinforcing that selection and environmental pressures continue to influence their genomic landscape even after targeted selection was relaxed. These findings underscore the need to monitor genetic diversity in BSF breeding programs to maintain adaptability, enhance resilience, and mitigate risks from artificial selection and population collapse.

evolutionary biology↗

Phylotype-Level Characterization of Complex Lactobacilli Communities Using a High-Throughput, High-Resolution Phenylalanyl-tRNA Synthetase (pheS) Gene Amplicon Sequencing Approach

The lactobacilli to date encompass more than 270 closely related species that were recently re-classified into 26 genera. Because of their relevance to industry, there is a need to distinguish between closely related, yet metabolically and regulatory distinct species, e.g., during monitoring of biotechnological processes or screening of samples of unknown composition. Current available methods, such as shotgun metagenomics or rRNA-based amplicon sequencing have significant limitations (high cost, low resolution, etc.). Here, we generated a lactobacilli phylogeny based on phenylalanyl-tRNA synthetase (pheS) genes and, from it, developed a high-resolution taxonomic framework which allows for comprehensive and confident characterization of lactobacilli community diversity and structure at the species-level. This framework is based on a total of 445 pheS gene sequences, including sequences of 277 validly described species and subspecies (out of a total of 283, coverage of 98%). It allows differentiation between 263 lactobacilli species-level clades out of a total of 273 validly described species (including the proposed species L. timonensis) and a further two subspecies. The methodology was validated through next-generation sequencing of mock communities. At a sequencing depth of [~]30,000 sequences, the minimum level of detection was approximately 0.02 pg per l DNA (equalling approximately 10 genome copies per {micro}l template DNA). The pheS approach along with parallel sequencing of partial 16S rRNA genes revealed a considerable lactobacilli diversity and distinct community structures across a broad range of samples from different environmental niches. This novel complementary approach may be applicable to industry and academia alike. IMPORTANCESpecies within the former genera Lactobacillus and Pediococcus have been studied extensively at the genomic level. To accommodate for their exceptional functional diversity, the over 270 species were recently re-classified into 26 distinct genera. Despite their relevance to both academia and industry, methods that allow detailed exploration of their ecology are still limited by low resolution, high cost or copy number variations. The approach described here makes use of a single copy marker gene which outperforms other markers with regards to species-level resolution and availability of reference sequences (98% coverage). The tool was validated against a mock community and used to address lactobacilli diversity and community structure in various environmental matrices. Such analyses can now be performed at broader scale to assess and monitor lactobacilli community assembly, structure and function at the species (in some cases even at sub-species) level across a wide range of academic and commercial applications.

microbiology↗