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- Title
Locating QTLs controlling overwintering trait in Chinese perennial Dongxiang wild rice.
- Authors
Liang, Yongshu; Zheng, Jian; Yan, Chao; Li, Xingxin; Liu, Shifeng; Zhou, Junjie; Qin, Xiaojian; Nan, Wenbin; Yang, Yongqing; Zhang, Hanma
- Abstract
Overwintering (OW) is the process by which rice passes through the winter season and germinates in the following spring. OW is also a typical quantitative inheritance trait. Currently, the molecular genetic basis of OW trait in Chinese perennial Dongxiang wild rice (DXWR) still remains to be known. In this study, a linkage map consisting of 139 simple sequence repeat (SSR) markers was constructed using an F2 population derived from a cross between DXWR and 93-11. This map covered the rice genome by approximately 1778.72 cM with approximately 12.80 cM average interval. The phenotype data of OW trait were investigated for QTL analysis in the following spring of 2017. The gene ontology (GO) annotation of the M-QTL was performed through the rice genome annotation project system. A major QTL-<italic>qOW6</italic> was flanked by RM20069 (16,542,428 bp) and RM3498 (20,982,059 bp) on chromosome 6 and detected repeatedly by both inclusive composite interval and single-marker analysis mapping with an LOD score of 9.45 and explained 22.22% of phenotypic variance. In addition, two small QTLs (<italic>qOW2</italic> and <italic>qOW3</italic>) controlling OW trait were detected on the second and third chromosomes, respectively. No epistatic interaction was detected between these QTLs, suggesting their unique genetic model. A total of 183 candidate genes at <italic>qOW6</italic> locus were involved in 887 GO terms. Among them, 52 candidate genes were involved in response to stress. The other 28 candidate genes were related to cell membrane, which might affect the OW trait in perennial DXWR. These results may establish the foundation for understanding the genetic mechanism about OW trait and provide a novel gene resource for OW rice variety improvement.
- Subjects
RICE; CULTIVARS; CROP yields; PLANT breeding; AGRICULTURAL productivity
- Publication
Molecular Genetics & Genomics, 2018, Vol 293, Issue 1, p81
- ISSN
1617-4615
- Publication type
Article
- DOI
10.1007/s00438-017-1366-5