4.4 Article

Trait-based mapping to identify the genetic factors underlying anaerobic germination of rice: Phenotyping, GXE, and QTL mapping

期刊

BMC GENETICS
卷 21, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12863-020-0808-y

关键词

Rice; Anaerobic germination; BSA; QTL; DSR

资金

  1. Stress-Tolerant Rice for Africa and South Asia (STRASA) Phase III - Bill & Melinda Gates Foundation (BMGF)
  2. project Increasing productivity of direct-seeded rice areas by incorporating genes for tolerance of anaerobic conditions during germination - German Federal Ministry for Economic Cooperation and Development (BMZ)
  3. The Lee Foundation

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Background Anaerobic germination is one of the most important traits for rice under direct-seeded conditions. The trait reduces risk of crop failure due to waterlogged conditions after seeding and allows water to be used as a means of weed control. The identification of QTLs and causal genes for anaerobic germination will facilitate breeding for improved direct-seeded rice varieties. In this study, we explored a BC1F2:3 population developed from a cross between BJ1, an indica landrace, and NSIC Rc222, a high-yielding recurrent parent. The population was phenotyped under different screening methods (anaerobic screenhouse, anaerobic tray, and aerobic screenhouse) to establish the relationship among the methods and to identify the most suitable screening method, followed by bulk segregant analysis (BSA) to identify large-effect QTLs. Results The study showed high heritability for survival (SUR) under all three phenotyping conditions. Although high correlation was observed within screening environments between survival at 14 and 21 days after seeding, the correlation across environments was low. Germination under aerobic and anaerobic conditions showed very low correlation, indicating the independence of their genetic control. The results were further confirmed through AMMI analysis. Four significant markers with an effect on anaerobic germination were identified through BSA. CIM analysis revealed qAG1-2, qAG6-2, qAG7-4, and qAG10-1 having significant effects on the trait. qAG6-2 and qAG10-1 were consistent across screening conditions and seedling age while qAG1-2 and qAG7-4 were specific to screening methods. All QTLs showed an effect when survival across all screening methods was analyzed. Together, the QTLs explained 39 to 55% of the phenotypic variation for survival under anaerobic conditions. No QTL effects were observed under aerobic conditions. Conclusions The study helped us understand the effect of phenotyping method on anaerobic germination, which will lead to better phenotyping for this trait in future studies. The QTLs identified through this study will allow the improvement of breeding lines for the trait through marker-assisted selection or through forward breeding approaches such as genomic selection. The high frequency of the BJ1 allele of these QTLs will enhance the robustness of germination under anaerobic conditions in inbred and hybrid rice varieties.

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