{"title":"控制大豆麦芽糖生物合成的QTL定位","authors":"P. Jha, Vineet Kumar, A. Rani, Anil Kumar","doi":"10.25083/rbl/26.5/2936.2941","DOIUrl":null,"url":null,"abstract":"The present study was carried out to identify genomic regions associated with maltose in 2 F2 populations through assessment of sugars using HPLC and genotyping using SSR markers across the genome. SSR markers, Sat_216 (chr 12) and Satt681 (chr 6) in F2 population I and Sat_105 (chr 20) in F2 population II showed significant (P< 0.5) association with maltose content through single marker analysis (SMA) with LOD score of 3.18 (R2 =9.7), 2.54 (R2 =6.8), and 3.54 (R2 =10.4), respectively. Composite interval mapping analysis (CIM) let to identify different QTLs (other than SMA) for maltose content on chr 11, chr 13 and chr 17 in F2 population I while chr 6 and chr15 in F2 population II. QTLs identified for maltose content are in proximity of known functional genes responsible for degradation of starch into maltose. QTLs identified for maltose in the study may be deployed for improving efficiency of marker assisted breeding for development of soybean genotypes with high levels of this sugar.","PeriodicalId":21566,"journal":{"name":"Romanian Biotechnological Letters","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Mapping QTLs controlling the biosynthesis of maltose in soybean\",\"authors\":\"P. Jha, Vineet Kumar, A. Rani, Anil Kumar\",\"doi\":\"10.25083/rbl/26.5/2936.2941\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study was carried out to identify genomic regions associated with maltose in 2 F2 populations through assessment of sugars using HPLC and genotyping using SSR markers across the genome. SSR markers, Sat_216 (chr 12) and Satt681 (chr 6) in F2 population I and Sat_105 (chr 20) in F2 population II showed significant (P< 0.5) association with maltose content through single marker analysis (SMA) with LOD score of 3.18 (R2 =9.7), 2.54 (R2 =6.8), and 3.54 (R2 =10.4), respectively. Composite interval mapping analysis (CIM) let to identify different QTLs (other than SMA) for maltose content on chr 11, chr 13 and chr 17 in F2 population I while chr 6 and chr15 in F2 population II. QTLs identified for maltose content are in proximity of known functional genes responsible for degradation of starch into maltose. QTLs identified for maltose in the study may be deployed for improving efficiency of marker assisted breeding for development of soybean genotypes with high levels of this sugar.\",\"PeriodicalId\":21566,\"journal\":{\"name\":\"Romanian Biotechnological Letters\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Romanian Biotechnological Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25083/rbl/26.5/2936.2941\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Romanian Biotechnological Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25083/rbl/26.5/2936.2941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mapping QTLs controlling the biosynthesis of maltose in soybean
The present study was carried out to identify genomic regions associated with maltose in 2 F2 populations through assessment of sugars using HPLC and genotyping using SSR markers across the genome. SSR markers, Sat_216 (chr 12) and Satt681 (chr 6) in F2 population I and Sat_105 (chr 20) in F2 population II showed significant (P< 0.5) association with maltose content through single marker analysis (SMA) with LOD score of 3.18 (R2 =9.7), 2.54 (R2 =6.8), and 3.54 (R2 =10.4), respectively. Composite interval mapping analysis (CIM) let to identify different QTLs (other than SMA) for maltose content on chr 11, chr 13 and chr 17 in F2 population I while chr 6 and chr15 in F2 population II. QTLs identified for maltose content are in proximity of known functional genes responsible for degradation of starch into maltose. QTLs identified for maltose in the study may be deployed for improving efficiency of marker assisted breeding for development of soybean genotypes with high levels of this sugar.
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