Machine vision-based %PP trait drives GWAS of inner shell color in Hyriopsis cumingii

IF 3.9 1区 农林科学 Q1 FISHERIES
Xuefeng Lv , Quanzhi Bao , Zhiyan Wang , Yuyang Wu , Renwei Wang , Jiale Li , Zhiyi Bai
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引用次数: 0

Abstract

Inner shell color, particularly purple nacre, is a key determinant of pearl quality in Hyriopsis cumingii, a cornerstone of China's freshwater pearl industry. We conducted a genome-wide association study (GWAS) on 590 F4-generation individuals using custom liquid SNP arrays: a 30 K array targeting 30,000 SNPs and a 95 K array that includes these 30 K SNPs plus additional loci. After stringent quality control, 25,900 (30 K) and 82,585 (95 K) SNPs were analyzed, identifying significant associations with seven inner shell color traits—L*, a*, b*, dE, C*, h*, and a novel machine vision-derived purple pixel percentage (%PP)—on chromosomes 17 and 15. The %PP trait enhances GWAS precision by quantifying purple nacre coverage. Notably, the 95 K array and 30 K array showed partial SNP overlap, with significant loci under log100.05/N and log101/N thresholds forming congruent and divergent sets, reflecting the interplay between SNP density and threshold settings. Key SNPs, including LG17_17440155 and LG17_17816229, were validated in 130 independent H. cumingii individuals, confirming their associations with L*, a*, C*, and dE for LG17_17440155, and with L*, a*, C*, and %PP for LG17_17816229. Candidate genes, including pksM, pks1, and SLC family members (SLC13A2_3_5, SLC6A8, etc.), were validated in an independent F2 population (n = 463), implicating pigment synthesis and transport pathways; validation of the combined significant SNPs from both arrays further confirmed their reliability, with log100.05/N demonstrating higher credibility and reduced false positives. These findings provide genetic markers for selective breeding and deepen insights into molluscan pigmentation genetics.
基于机器视觉的%PP性状驱动三角帆蚌内壳颜色的GWAS
三角帆蚌(Hyriopsis cumingii)是中国淡水珍珠产业的基石,其内壳颜色,尤其是紫色珠层,是决定珍珠质量的关键因素。我们使用定制的液体SNP阵列对590名f4代个体进行了全基因组关联研究(GWAS):一个30 K的阵列针对30,000个SNP,一个95 K的阵列包括这些30 K SNP加上额外的位点。经过严格的质量控制,分析了25,900 (30 K)和82,585 (95 K)个snp,确定了7个内壳颜色性状- l *, a*, b*, dE, C*, h*以及17和15染色体上新的机器视觉衍生的紫色像素百分比(%PP)的显著相关性。%PP性状通过量化紫珠层覆盖率来提高GWAS的精度。值得注意的是,95 K阵列和30 K阵列显示出部分SNP重叠,在−log100.05/N和−log101/N阈值下的显著位点形成了全同集和发散集,反映了SNP密度与阈值设置之间的相互作用。在130个独立个体中验证了关键snp,包括LG17_17440155和LG17_17816229,证实了它们与LG17_17440155的L*、a*、C*和dE相关,以及与LG17_17816229的L*、a*、C*和%PP相关。候选基因包括pksM、pks1和SLC家族成员(slc13a23_3_5、SLC6A8等),在独立的F2群体(n = 463)中得到验证,这些基因与色素合成和运输途径有关;对两个阵列的显著snp的联合验证进一步证实了它们的可靠性,−log100.05/N显示了更高的可信度和更少的假阳性。这些发现为选择性育种提供了遗传标记,并加深了对软体动物色素沉着遗传学的认识。
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来源期刊
Aquaculture
Aquaculture 农林科学-海洋与淡水生物学
CiteScore
8.60
自引率
17.80%
发文量
1246
审稿时长
56 days
期刊介绍: Aquaculture is an international journal for the exploration, improvement and management of all freshwater and marine food resources. It publishes novel and innovative research of world-wide interest on farming of aquatic organisms, which includes finfish, mollusks, crustaceans and aquatic plants for human consumption. Research on ornamentals is not a focus of the Journal. Aquaculture only publishes papers with a clear relevance to improving aquaculture practices or a potential application.
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