当前位置: X-MOL 学术Plant Prod. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Mapping consistent additive and epistatic QTLs for plant production traits under drought in target populations of environment using locally adapted landrace in rice (Oryza sativa L.)
Plant Production Science ( IF 1.6 ) Pub Date : 2021-01-04 , DOI: 10.1080/1343943x.2020.1862680
Ashish B. Rajurkar 1 , C. Muthukumar 1 , Bharathi Ayyenar 1 , Helen Baby Thomas 1 , Ranganathan Chandra Babu 1, 2
Affiliation  

ABSTRACT

A total of 36 colocated QTLs associated with plant production traits were mapped using IR62266/Norungan recombinant inbred lines under drought and non-stress conditions in target populations of environment. Multi-model composite interval mapping and multi-environment analysis detected seven consistent QTLs for plant production traits on chromosomes 1, 2, 3, 6, 10 and 11. QTLs for plant height, number of tillers, biomass, spikelet fertility and grain yield under drought identified on chr. 1 (RM5389-RM11943-RM5794), chr. 2 (RM324-RM5390 and RM12460-RM423-RM5345), chr. 3 (RM6329-RM5475-RM16030), chr. 6 (RM508-RM585-RM217), chr. 10 (RM7361-RM8207) and chr. 11 (RM209-RM6499) in this study have been reported as meta-QTLs for yield under drought. Consistent positive allelic contribution from the landrace, Norungan was shown at the two QTLs on chr. 2, while IR62266 showed consistent positive allelic effect at the QTL on chr. 10. At other four regions the effect was confounded with the stress condition, for instance the region on chr. 3 identified for straw yield showed additive effect from Norungan in all stress trials, while in the non-stress trials the positive allele came from IR62266. Epistasis for grain yield was detected in the regions of non-additive effects and its relative contribution was small. Relatively small percentage of grain yield variation was explained by additive x environment interaction (0.28 - 1.77%), but was larger than that explained by additive effect QTL across environments (0.05 - 0.35%). These consistent QTLs may have genes evolutionarily conserved in response to drought and could be ideal candidates for rice yield improvement in water-limited environments.



中文翻译:

使用当地适应的水稻地方品种(Oryza sativa L.)在目标环境种群中定位干旱条件下植物生产性状的一致加性和上位 QTL

摘要

使用 IR62266/Norungan 重组自交系在干旱和非胁迫条件下,在目标环境种群中定位了与植物生产性状相关的共 36 个共定位 QTL。多模型复合区间作图和多环境分析在 1、2、3、6、10 和 11 号染色体上检测到 7 个植物生产性状的一致 QTL。 chr. 上确定的干旱。1 (RM5389-RM11943-RM5794),chr。2 (RM324-RM5390 和 RM12460-RM423-RM5345),chr。3 (RM6329-RM5475-RM16030),字符。6 (RM508-RM585-RM217),chr。10 (RM7361-RM8207) 和 chr。本研究中的 11 (RM209-RM6499) 已被报道为干旱条件下产量的元 QTL。来自地方品种的一致阳性等位基因贡献,Norungan 显示在 chr 的两个 QTL 上。2、而 IR62266 在 QTL 上对 chr 显示出一致的正等位基因效应。10. 在其他四个区域,效果与应力条件混淆,例如 chr 上的区域。确定的秸秆产量 3 在所有胁迫试验中都显示出来自 Norungan 的累加效应,而在非胁迫试验中,阳性等位基因来自 IR62266。在非加成效应区域检测到粮食产量的上位性,其相对贡献很小。相对较小的谷物产量变化百分比由加性 x 环境相互作用 (0.28 - 1.77%) 解释,但大于跨环境加性效应 QTL 解释的百分比 (0.05 - 0.35%)。这些一致的 QTL 可能具有响应干旱的进化保守基因,并且可能是在缺水环境中提高水稻产量的理想候选者。

更新日期:2021-01-04
down
wechat
bug