Quantitative trait loci identification and meta-analysis for rice panicle-related traits

التفاصيل البيبلوغرافية
العنوان: Quantitative trait loci identification and meta-analysis for rice panicle-related traits
المؤلفون: Wuming Xiao, Zhiqiang Chen, Yahui Wu, Xingxing Tao, Tao Guo, Ming Huang
المصدر: Molecular Genetics and Genomics. 291:1927-1940
بيانات النشر: Springer Science and Business Media LLC, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Genetic Markers, 0106 biological sciences, 0301 basic medicine, Candidate gene, Quantitative Trait Loci, Quantitative trait locus, Biology, Genes, Plant, Oryza, 01 natural sciences, Chromosomes, Plant, 03 medical and health sciences, Centimorgan, Quantitative Trait, Heritable, Genetics, Molecular Biology, Gene, Crosses, Genetic, Panicle, Chromosome Mapping, General Medicine, biology.organism_classification, Phenotype, 030104 developmental biology, Genetic marker, Trait, 010606 plant biology & botany
الوصف: Rice yield is a complex trait controlled by quantitative trait loci (QTLs). In the past three decades, thousands of QTLs for rice yield traits have been detected, but only a very small percentage has been cloned to date, as identifying the QTL genes requires a substantial investment of time and money. Meta-analysis provides a simple, reliable, and economical method for integrating information from multiple QTL studies across various environmental and genetic backgrounds, detecting consistent QTLs powerfully and estimating their genetic positions precisely. In this study, we aimed to locate consistent QTL regions associated with rice panicle traits by applying a genome-wide QTL meta-analysis approach. We first conducted a QTL analysis of 5 rice panicle traits using 172 plants in 2011 and 138 plants in 2012 from an F2 population derived from a cross between Nipponbare and H71D rice cultivators. A total of 54 QTLs were detected, and these were combined with 1085 QTLs collected from 82 previous studies to perform a meta-analysis using BioMercator v4.2. The integration of 82 maps resulted in a consensus map with 6970 markers and a total map length of 1823.1 centimorgan (cM), on which 837 QTLs were projected. These QTLs were then integrated into 87 meta-quantitative trait loci (MQTLs) by meta-analysis, and the 95 % confidence intervals (CI) of them were smaller than the mean value of the original QTLs. Also, 30 MQTLs covered 47 of the 54 QTLs detected from the cross between Nipponbare and H71D in this study. Among them, the two major and stable QTLs, spp10.1 and sd10.1, were found to be included in MQTL10.4. The three other major QTLs, pl3.1, sb2.1, and sb10.1, were included in MQTL3.3, MQTL2.2, and MQTL10.3, respectively. A total of 21 of the 87 MQTLs' phenotypic variation were >20 %. In total, 24 candidate genes were found in 15 MQTLs that spanned physical intervals
تدمد: 1617-4623
1617-4615
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c7dfaabc6e138b9fd8d8be8fdac27fa
https://doi.org/10.1007/s00438-016-1227-7
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....2c7dfaabc6e138b9fd8d8be8fdac27fa
قاعدة البيانات: OpenAIRE