Rui Li, Zhaoran Wei, Yuetao Wang, Mengjuan Ma, Qifei Zhang, Tao Bai, Zichao Li, Zhanying Zhang, Haiqing Yin, Ya Wang
{"title":"利用各种全基因组关联研究模型绘制水稻中胚轴和胚珠长度的关联图谱","authors":"Rui Li, Zhaoran Wei, Yuetao Wang, Mengjuan Ma, Qifei Zhang, Tao Bai, Zichao Li, Zhanying Zhang, Haiqing Yin, Ya Wang","doi":"10.1002/csc2.21360","DOIUrl":null,"url":null,"abstract":"The mechanized direct seeding of rice (<jats:italic>Oryza sativa</jats:italic> L.) is a major trend nowadays. The elongation of rice mesocotyl and coleoptile can facilitate the rapid emergence of seedlings under deep mechanized sowing. Currently, most of the cultivated rice accessions have short mesocotyls or coleoptiles, with only a few related genes cloned. However, understanding and enhancing the ability of rice seedlings to rapidly emerge from deep sowing depths is crucial. Herein, we assessed 745 core rice germplasm accessions sown under a soil cover depth of 10 cm and found few long mesocotyl and coleoptile germplasms. We conducted genome‐wide association study using six models to obtain three or more multi‐model co‐localization candidate regions and calculated <jats:italic>F</jats:italic><jats:sub>st</jats:sub> between the phenotypes of extreme samples to determine genetic differences. The candidate regions associated with mesocotyl and coleoptile lengths were identified by integrating <jats:italic>F</jats:italic><jats:sub>st</jats:sub> and multi‐model localization results. This multi‐model localization method may accelerate the mining of genes related to the mesocotyl and coleoptile, providing valuable targets for functional validation and marker‐assisted selection in rice breeding programs.","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association mapping of mesocotyl and coleoptile length in rice using various genome‐wide association study models\",\"authors\":\"Rui Li, Zhaoran Wei, Yuetao Wang, Mengjuan Ma, Qifei Zhang, Tao Bai, Zichao Li, Zhanying Zhang, Haiqing Yin, Ya Wang\",\"doi\":\"10.1002/csc2.21360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The mechanized direct seeding of rice (<jats:italic>Oryza sativa</jats:italic> L.) is a major trend nowadays. The elongation of rice mesocotyl and coleoptile can facilitate the rapid emergence of seedlings under deep mechanized sowing. Currently, most of the cultivated rice accessions have short mesocotyls or coleoptiles, with only a few related genes cloned. However, understanding and enhancing the ability of rice seedlings to rapidly emerge from deep sowing depths is crucial. Herein, we assessed 745 core rice germplasm accessions sown under a soil cover depth of 10 cm and found few long mesocotyl and coleoptile germplasms. We conducted genome‐wide association study using six models to obtain three or more multi‐model co‐localization candidate regions and calculated <jats:italic>F</jats:italic><jats:sub>st</jats:sub> between the phenotypes of extreme samples to determine genetic differences. The candidate regions associated with mesocotyl and coleoptile lengths were identified by integrating <jats:italic>F</jats:italic><jats:sub>st</jats:sub> and multi‐model localization results. This multi‐model localization method may accelerate the mining of genes related to the mesocotyl and coleoptile, providing valuable targets for functional validation and marker‐assisted selection in rice breeding programs.\",\"PeriodicalId\":10849,\"journal\":{\"name\":\"Crop Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Crop Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1002/csc2.21360\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Crop Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1002/csc2.21360","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
Association mapping of mesocotyl and coleoptile length in rice using various genome‐wide association study models
The mechanized direct seeding of rice (Oryza sativa L.) is a major trend nowadays. The elongation of rice mesocotyl and coleoptile can facilitate the rapid emergence of seedlings under deep mechanized sowing. Currently, most of the cultivated rice accessions have short mesocotyls or coleoptiles, with only a few related genes cloned. However, understanding and enhancing the ability of rice seedlings to rapidly emerge from deep sowing depths is crucial. Herein, we assessed 745 core rice germplasm accessions sown under a soil cover depth of 10 cm and found few long mesocotyl and coleoptile germplasms. We conducted genome‐wide association study using six models to obtain three or more multi‐model co‐localization candidate regions and calculated Fst between the phenotypes of extreme samples to determine genetic differences. The candidate regions associated with mesocotyl and coleoptile lengths were identified by integrating Fst and multi‐model localization results. This multi‐model localization method may accelerate the mining of genes related to the mesocotyl and coleoptile, providing valuable targets for functional validation and marker‐assisted selection in rice breeding programs.
期刊介绍:
Articles in Crop Science are of interest to researchers, policy makers, educators, and practitioners. The scope of articles in Crop Science includes crop breeding and genetics; crop physiology and metabolism; crop ecology, production, and management; seed physiology, production, and technology; turfgrass science; forage and grazing land ecology and management; genomics, molecular genetics, and biotechnology; germplasm collections and their use; and biomedical, health beneficial, and nutritionally enhanced plants. Crop Science publishes thematic collections of articles across its scope and includes topical Review and Interpretation, and Perspectives articles.