Dufresne Guyllaume, Bolduc Catherine, Warburton Christopher, Vandenberg Grant, Deschamps Marie-Hélène, Alnahhas Nabeel
Department of Animal Science, Faculty of Agricultural and Food Sciences, Université Laval, Quebec, QC, Canada.
Entosystem, Drummondville, QC, Canada.
Front Genet. 2025 Jun 12;16:1541812. doi: 10.3389/fgene.2025.1541812. eCollection 2025.
Genetic selection to optimize economically important traits in black soldier flies (BSF), a major species in the insects as food and feed industry, continues to gain interest. Tracking pedigrees is a prerequisite for generating genetic progress while conserving the genetic variability of traits under selection. However, this is not currently feasible in mass reared insects like BSF. As an alternative, this study identified SNPs informative for parentage assignment (PA) in a commercial and laboratory colony of BSF using genotyping-by-sequencing (GBS). We first established an experimental population of 12 BSF families per colony by randomly mating flies within each family over three generations. DNA was then sequenced from mated pairs and two larvae per pair per generation (n = 288 samples). After SNP calling and filtering, we generated four high-quality SNP subsets containing 192, 118, 72, and 51 SNPs, respectively. PA was conducted using a likelihood-based method across simulated inbreeding rates from 0% to 100%. Compared to known parents, PA accuracy reached 100% across all SNP subsets and inbreeding rates. However, assignment confidence as measured by the log-likelihood (LOD) score decreased significantly as the number of SNPs decreased, though inbreeding had no significant effect on LOD scores. High-confidence assignments to either male or female parents required all 192 SNPs, whereas high-confidence assignments to parent pairs were possible with 118 or 192 SNPs. The identified SNPs provide a valuable resource for developing low-density panels to implement pedigree-based selection and to manage genetic diversity, thereby supporting the development of breeding programs in BSF.
在昆虫作为食物和饲料行业的主要物种黑水虻中,通过基因选择来优化经济上重要的性状越来越受到关注。追踪谱系是在保持所选性状遗传变异性的同时实现遗传进展的先决条件。然而,目前在像黑水虻这样大规模饲养的昆虫中这是不可行的。作为一种替代方法,本研究使用简化基因组测序(GBS)在一个商业和实验室群体的黑水虻中鉴定了用于亲子关系鉴定(PA)的信息性单核苷酸多态性(SNP)。我们首先通过在每个家族内随机交配三代,为每个群体建立了一个由12个黑水虻家族组成的实验群体。然后对每代的交配亲本对和每对的两个幼虫进行DNA测序(n = 288个样本)。在进行SNP检测和筛选后,我们分别生成了四个高质量的SNP子集,包含192、118、72和51个SNP。使用基于似然性的方法在0%至100%的模拟近交率范围内进行亲子关系鉴定。与已知亲本相比,在所有SNP子集和近交率下,亲子关系鉴定准确率均达到100%。然而,尽管近交对对数似然(LOD)分数没有显著影响,但随着SNP数量的减少,由LOD分数衡量的鉴定置信度显著下降。对雄性或雌性亲本的高置信度鉴定需要全部192个SNP,而对亲本对的高置信度鉴定使用118个或192个SNP是可行的。所鉴定的SNP为开发低密度面板以实施基于谱系的选择和管理遗传多样性提供了宝贵资源,从而支持黑水虻育种计划的发展。