Multienvironment QTL analysis delineates a major locus associated with homoeologous exchanges for water-use efficiency and seed yield in canola
文献类型: 外文期刊
第一作者: Raman, Harsh
作者: Raman, Harsh;Raman, Rosy;McVittie, Brett;Qiu, Yu;Pirathiban, Ramethaa;Cullis, Brian;Sharma, Niharika;Liu, Shengyi;Zhang, Yuanyuan;Zhu, Anyu;Kilian, Andrzej;Farquhar, Graham D.;Stuart-Williams, Hilary;White, Rosemary;Tabah, David;Easton, Andrew
作者机构:
关键词: carbon isotope discrimination; drought avoidance; gene expression; genetic analysis; physiology; water use
期刊名称:PLANT CELL AND ENVIRONMENT ( 影响因子:7.947; 五年影响因子:8.452 )
ISSN: 0140-7791
年卷期: 2022 年 45 卷 7 期
页码:
收录情况: SCI
摘要: Canola varieties exhibit variation in drought avoidance and drought escape traits, reflecting adaptation to water-deficit environments. Our understanding of underlying genes and their interaction across environments in improving crop productivity is limited. A doubled haploid population was analysed to identify quantitative trait loci (QTL) associated with water-use efficiency (WUE) related traits. High WUE in the vegetative phase was associated with low seed yield. Based on the resequenced parental genome data, we developed sequence-capture-based markers and validated their linkage with carbon isotope discrimination (Delta C-13) in an F-2 population. RNA sequencing was performed to determine the expression of candidate genes underlying Delta C-13 QTL. QTL contributing to main and QTL x environment interaction effects for Delta C-13 and yield were identified. One multiple-trait QTL for Delta C-13, days to flower, plant height, and seed yield was identified on chromosome A09. Interestingly, this QTL region overlapped with a homoeologous exchange (HE) event, suggesting its association with the multiple traits. Transcriptome analysis revealed 121 significantly differentially expressed genes underlying Delta C-13 QTL on A09 and C09, including in HE regions. Sorting out the negative relationship between vegetative WUE and seed yield is a priority. Genetic and genomic resources and knowledge so developed could improve canola WUE and yield.
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