伊露莎草(Hermetia illucens)驯化早期阶段基因组多样性和表型发展的驱动因素。

IF 2.3 2区 农林科学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kelvin L. Hull, Matthew P. Greenwood, Melissa Lloyd, Marissa Brink-Hull, Aletta E. Bester-van der Merwe, Clint Rhode
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引用次数: 0

摘要

黑兵蝇(BSF)--Hermetia illucens--能够有效地将有机废物生物降解为可用的生物化合物。因此,了解驯化和大规模饲养对适应性和生产性状的影响对可持续生产非常重要。本研究旨在评估在两种选择策略下,大规模饲养早期世代的基因组多样性模式及其与表型发展的关联:选择更大的幼虫质量(SEL品系)和无直接人工选择(NS品系)。利用 2bRAD 测序技术生成了全基因组单核苷酸多态性(SNP)数据,同时测量了与产量和种群适应性相关的表型特征。在人工繁殖的三代中观察到基因组多样性的下降模式,两个选育品系的 F3 代记录到的多样性最低,这很可能是由于创始人效应造成的。据统计,SEL组群的幼虫体重明显高于NS品系,各代之间的遗传和表型发生了明显的方向性变化。此外,SEL品系的遗传和表型多样性较低,尤其是在体能性状方面,这说明了在选择质量和由此导致的种群体能下降之间的权衡。基于 SNP 的遗传力对生长显著,但对体能性状的遗传力较低或不显著。性状的基因型与表型之间存在相关性,但单个位点的效应大小较小,只有极少数位点表现出选择特征。由于有效种群规模较小,明显的遗传漂变很可能掩盖了选择对基因组多样性以及表型发展的影响。这些结果对未来 BSF 的遗传管理和选择性育种具有特别重要的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Drivers of genomic diversity and phenotypic development in early phases of domestication in Hermetia illucens

Drivers of genomic diversity and phenotypic development in early phases of domestication in Hermetia illucens

The black soldier fly (BSF), Hermetia illucens, has the ability to efficiently bioremediate organic waste into usable bio-compounds. Understanding the impact of domestication and mass rearing on fitness and production traits is therefore important for sustainable production. This study aimed to assess patterns of genomic diversity and its association to phenotypic development across early generations of mass rearing under two selection strategies: selection for greater larval mass (SEL lines) and no direct artificial selection (NS lines). Genome-wide single nucleotide polymorphism (SNP) data were generated using 2bRAD sequencing, while phenotypic traits relating to production and population fitness were measured. Declining patterns of genomic diversity were observed across three generations of captive breeding, with the lowest diversity recorded for the F3 generation of both selection lines, most likely due to founder effects. The SEL cohort displayed statistically significantly greater larval weight com the NS lines with pronounced genetic and phenotypic directional changes across generations. Furthermore, lower genetic and phenotypic diversity, particularly for fitness traits, were evident for SEL lines, illustrating the trade-off between selecting for mass and the resulting decline in population fitness. SNP-based heritability was significant for growth, but was low or non-significant for fitness traits. Genotype–phenotype correlations were observed for traits, but individual locus effect sizes where small and very few of these loci demonstrated a signature for selection. Pronounced genetic drift, due to small effective population sizes, is likely overshadowing the impacts of selection on genomic diversity and consequently phenotypic development. The results hold particular relevance for genetic management and selective breeding for BSF in future.

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来源期刊
Insect Molecular Biology
Insect Molecular Biology 生物-昆虫学
CiteScore
4.80
自引率
3.80%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Insect Molecular Biology has been dedicated to providing researchers with the opportunity to publish high quality original research on topics broadly related to insect molecular biology since 1992. IMB is particularly interested in publishing research in insect genomics/genes and proteomics/proteins. This includes research related to: • insect gene structure • control of gene expression • localisation and function/activity of proteins • interactions of proteins and ligands/substrates • effect of mutations on gene/protein function • evolution of insect genes/genomes, especially where principles relevant to insects in general are established • molecular population genetics where data are used to identify genes (or regions of genomes) involved in specific adaptations • gene mapping using molecular tools • molecular interactions of insects with microorganisms including Wolbachia, symbionts and viruses or other pathogens transmitted by insects Papers can include large data sets e.g.from micro-array or proteomic experiments or analyses of genome sequences done in silico (subject to the data being placed in the context of hypothesis testing).
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