Foote Andrew, Simma David, Khatkar Mehar, Raadsma Herman, Guppy Jarrod, Coman Greg, Giardina Erika, Jerry Dean, Zenger Kyall, Wade Nick
ARC Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD, Australia.
Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Front Genet. 2019 Nov 12;10:1127. doi: 10.3389/fgene.2019.01127. eCollection 2019.
Skewed family distributions are common in aquaculture species that are highly fecund, communally (mass) spawned, and/or communally reared. The magnitude of skews pose challenges for maintaining family-specific genetic diversity, as increased resources are required to detect individuals from underrepresented families, or reliably determine relative survival as a measure of family performance. There is limited understanding of family skews or changes in family proportion of communally reared shrimp under commercial rearing conditions and particularly how this may affect genotyping strategies to recover family performance data in breeding programs. In this study, three separate batches of shrimp, were communally spawned and reared, and then sampled as larvae when ponds were stocked at 30 days of culture (DOC) and as juveniles from commercial ponds during harvest at 150 DOC. A total of 199 broodstock contributed to the 5,734 progeny that were genotyped with a custom multiplex single nucleotide polymorphism (SNP) panel, and family assignments were cross-referenced using two parentage assignment methods, CERVUS and COLONY. A total of 121 families were detected, with some families contributing up to 11% of progeny at 30 DOC and up to 18% of progeny at harvest. Significant changes were detected for 20% of families from 30 to 150 DOC, with up to a 9% change in relative contribution. Family skew data was applied in several models to determine the optimal sample size to detect families, along with the ability to detect changes in relative family contribution over time. Results showed that an order of magnitude increase in sampling was required to capture the lowest represented 25% of families, as well as significantly improve the accuracy to determine changes in family proportion from 30 to 150 DOC. Practical measures may be implemented at the hatchery to reduce family skews; a cost-effective measure may be to address the initial magnitude differences in viable progeny produced among families, by pooling equal quantities of hatched larvae from each family. This study demonstrates the relationships between skews in families under commercial conditions, the ability to accurately detect families, and the balance of sampling effort and genotyping cost in highly fecund species such as shrimp.
在繁殖力强、群体产卵和/或群体养殖的水产养殖物种中,家族分布不均衡很常见。这种不均衡的程度给维持家族特异性遗传多样性带来了挑战,因为需要更多资源来检测代表性不足的家族中的个体,或者可靠地确定相对存活率以衡量家族表现。对于商业养殖条件下群体养殖虾的家族不均衡或家族比例变化,尤其是这可能如何影响育种计划中恢复家族表现数据的基因分型策略,人们了解有限。在本研究中,对三批独立的虾进行了群体产卵和养殖,然后在养殖30天池塘放苗时作为幼体取样,并在150天养殖期收获时从商业池塘中作为幼虾取样。共有199尾亲虾产生了5734尾后代,使用定制的多重单核苷酸多态性(SNP)面板对其进行基因分型,并使用两种亲权分配方法CERVUS和COLONY对家族归属进行交叉核对。共检测到121个家族,一些家族在30天养殖期时贡献了高达11%的后代,在收获时贡献了高达18%的后代。从30天到150天养殖期,检测到20%的家族有显著变化,相对贡献变化高达9%。家族不均衡数据应用于多个模型,以确定检测家族的最佳样本量,以及检测家族相对贡献随时间变化的能力。结果表明,要捕获代表性最低的25%的家族,取样量需要增加一个数量级,同时显著提高确定30天到150天养殖期家族比例变化的准确性。在孵化场可以采取实际措施来减少家族不均衡;一种经济有效的措施可能是通过汇集每个家族等量的孵化幼体来解决家族间产生的存活后代的初始数量差异。本研究证明了商业条件下家族不均衡、准确检测家族的能力以及像虾这样繁殖力强的物种中取样工作量和基因分型成本之间的关系。