WheatQTLdb: a QTL database for wheat

数量性状位点 生物 上位性 基于家系的QTL定位 包含复合区间映射 全基因组关联研究 遗传学 数据库 基因 基因型 基因定位 单核苷酸多态性 计算机科学 染色体
作者
Kalpana Singh,Renu Batra,Shiveta Sharma,Gautam Saripalli,Tinku Gautam,Ravinder Singh,Saikat Pal,Parveen Malik,Manoj Kumar,Irfat Jan,S.R. Singh,Deepak Kumar,Saksham Pundir,Deepti Chaturvedi,Anjali Verma,Anshu Rani,Anuj Kumar,Hemant Sharma,Jyoti Chaudhary,Kuldeep Kumar,Sachin Kumar,Vikas Kumar Singh,Vivudh Pratap Singh,Sachin Kumar,Rahul Kumar,Shailendra Singh Gaurav,Shailendra Sharma,Pradeep Sharma,H. S. Balyan,P. K. Gupta
出处
期刊:Molecular Genetics and Genomics [Springer Science+Business Media]
卷期号:296 (5): 1051-1056 被引量:44
标识
DOI:10.1007/s00438-021-01796-9
摘要

During the last three decades, QTL analysis in wheat has been conducted for a variety of individual traits, so that thousands of QTL along with the linked markers, their genetic positions and contribution to phenotypic variation (PV) for concerned traits are now known. However, no exhaustive database for wheat QTL is currently available at a single platform. Therefore, the present database was prepared which is an exhaustive information resource for wheat QTL data from the published literature till May, 2020. QTL data from both interval mapping and genome-wide association studies (GWAS) have been included for the following classes of traits: (i) morphological traits, (ii) N and P use efficiency, (iii) traits for biofortification (Fe, K, Se, and Zn contents), (iv) tolerance to abiotic stresses including drought, water logging, heat stress, pre-harvest sprouting and salinity, (v) resistance to biotic stresses including those due to bacterial, fungal, nematode and insects, (vi) quality traits, and (vii) a variety of physiological traits, (viii) developmental traits, and (ix) yield and its related traits. For the preparation of the database, literature was searched for data on QTL/marker-trait associations (MTAs), curated and then assembled in the form of WheatQTLdb. The available information on metaQTL, epistatic QTL and candidate genes, wherever available, is also included in the database. Information on QTL in this WheatQTLdb includes QTL names, traits, associated markers, parental genotypes, crosses/mapping populations, association mapping panels and other useful information. To our knowledge, WheatQTLdb prepared by us is the largest collection of QTL (11,552), epistatic QTL (107) and metaQTL (330) data for hexaploid wheat to be used by geneticists and plant breeders for further studies involving fine mapping, cloning, and marker-assisted selection (MAS) during wheat breeding.

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