数字农科院2.0

Multi-marker GWAS and variant-specific genomic prediction for growth traits in Pacific white shrimp

文献类型: 外文期刊

作者: Tianzan Lv;Yan Xia;Jian Tan;Qiang Fu;Kun Luo;Xianhong Meng;Baolong Chen;Meijia Chen;Juan Sui;Ping Dai;Xupeng Li;Junyu Liu;Mianyu Liu;Jiawang Cao;Qun Xing;Guangfeng Qiang;Jie Kong;Hao Zhou;Sheng Luan

作者机构:

关键词: Aquaculture breeding;Genomic prediction;GWAS;Penaeus vannamei;STR

期刊名称: Scientific Reports

ISSN:

年卷期: 2025 年 15 卷 1 期

页码:

收录情况: SCIE(2025版)

摘要: The genome of Penaeus vannamei is rich in short tandem repeats (STRs), occupying 18.96% of the genome, with 68.6% of loci showing high polymorphic information content, highlighting their potential as molecular markers. Accordingly, we performed an integrative GWAS leveraging STR, SNP, and InDel markers to identify 78 growth-associated loci, including 17 additional STRs compared with single-marker GWAS and six high-linkage regions containing metabolic, molting, and other growth-related genes. Four markers were validated in an independent population. In genomic prediction, STRs outperformed SNPs under the GBLUP model at low marker densities (20–50 loci), with accuracy gains up to 183%. GWAS-informed marker selection improved cross-population prediction performance, with STR-Top sets enhancing accuracy by 0.6%–3.0% under the GBLUP model, while SNP-Top sets achieved greater and more consistent gains under the KRR model. These results demonstrate the utility of STRs and support multi-marker integration for trait dissection and breeding in aquatic animals.

分类号:

  • 相关文献

[1]Canine hip dysplasia is predictable by genotyping. Zhang, Z.,Guo, G.,Wang, Y.,Zhang, Y.,Guo, G.,Zhou, Z.,Li, J.,Zhou, Z.,Hunter, L.,Friedenberg, S.,Krotscheck, U.,Todhunter, R.,Zhu, L.,Lust, G.,Harris, S.,Jones, P.,Sandler, J.,Zhao, K.,Zhou, Z.. 2011

[2]Genome-wide association study and genomic prediction for resistance to brown planthopper in rice. Cong Zhou,Weihua Jiang,Jianping Guo,Lili Zhu,Lijiang Liu,Shengyi Liu,Rongzhi Chen,Bo Du,Jin Huang. 2024

[3]山羊10个STR基因座遗传多态性. 张颖,程文科,裴黎,戈文东. 2012

[4]人D6S1043-1型STR质粒DNA标准物质的研制. 严安心,陈静,刘洪迪,李永久,彭柱,赵禾苗,李亮,赵兴春. 2020

[5]Intestinal microbiota differences associated with physiological health, meat quality, and regulating mineral interactions of Penaeus vannamei fed organic manganese. Jinzhu Yang,Zhonghao Zhang,Gang Lin,Mingzhu Li,Yanjiao Zhang,Kangsen Mai. 2024

[6]Organic Trace Mineral Source Enhances the Bioavailability, Health Status, and Gut Microbiota Community in White Shrimp (Penaeus vannamei). Huang, Weijian,Yang, Jinzhu,Li, Xiao,Lin, Gang,Li, Mingzhu,Zhang, Yanjiao,Mai, Kangsen. 2025

[7]Evaluation of the combined impact of aflatoxin B1 and deoxynivalenol fed to Penaeus vannamei and mitigation properties provided by a yeast cell wall extract. Xiao Li,Jinzhu Yang,Weijian Huang,Gang Lin,Mingzhu Li,Kangsen Mai,Yanjiao Zhang. 2025

[8]Dietary enzyme complex improve the growth performance, digestive ability, antioxidant capacity and immunity, and glycometabolism in Penaeus vannamei fed high-plant-protein diets. Xiao Li,Jinzhu Yang,Weijian Huang,Gang Lin,Mingzhu Li,Kangsen Mai,Yanjiao Zhang. 2025

[9]Unlocking microbiota potential: the role of organic copper in enhancing healthy white shrimp (Penaeus vannamei) farming. Jinzhu Yang,Xiaoyang Yao,Zhonghao Zhang,Gang Lin,Mingzhu Li,Kangsen Mai,Yanjiao Zhang. 2025

[10]蛋鸡资源群体的盲肠长度全基因组关联分析. 王星果,曲亮,卢建,窦套存,马猛,胡玉萍,沈曼曼,郭军,李尚民,王克华. 2018

[11]中国籼稻群体的遗传结构解析及12个株型性状的全基因组关联分析. 鲁清,章孟臣,魏兴华. 2015

[12]北京油鸡血清IgG含量的GWAS初步分析. 张磊,刘冉冉,赵桂苹,文杰,郑麦青,吴丹,胡耀东,李鹏,刘丽. 2011

[13]黄瓜发芽期耐热性评价及全基因组关联分析. 张松,苗晗,宋子超,薄凯亮,王烨,顾兴芳,张圣平. 2019

[14]功能基因筛选方法的研究进展. 姚雅馨,喇永富,汤继顺,贺小云,张壮彪,储明星. 2020

[15]玉米叶片叶绿素含量的全基因组关联性分析. 滕守振1,,2 汪海2 梁海生1,,2 辛红佳2 李圣彦2 郎志宏2. 2017

[16]基于通路分析方法诠释肉鸡体重性状全基因组关联研究. 王杰,刘璐,刘杰,赵桂苹,刘冉冉,郑麦青,文杰. 2017

[17]黄瓜核心种质幼苗耐低温性评价及GWAS分析. 王伟平,宋子超,薄凯亮,董邵云,魏爽,苗晗,李锦斌,张圣平,顾兴芳. 2019

[18]黄瓜核心种质幼苗耐热性评价及GWAS分析. 魏爽,张松,薄凯亮,王伟平,苗晗,董邵云,顾兴芳,张圣平. 2019

[19]利用两种统计模型对中国肉用西门塔尔牛屠宰性状的全基因组关联分析. 常天鹏,夏江威,宝金山,金生云,朱波,徐凌洋,陈燕,张路培,高雪,李俊雅,高会江. 2018

[20]基于SNP标记的小麦籽粒性状全基因组关联分析. 张芳,任毅,曹俊梅,李法计,夏先春,耿洪伟. 2021

作者其他论文 更多>>