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利用综合多变量基因型选择策略鉴定氮素利用效率提高的优质水稻供体

Identification of superior rice donors with enhanced nitrogen use efficiency using a comprehensive multivariate genotype selection strategy.

作者信息

Duc Nguyen Trung, Harika Amooru, Raju Dhandapani, Kumar Sudhir, Pandey Renu, Sathee Lekshmy, Alimuthu Elangovan, Singh Biswabiblap, Vishwakarma Chandrapal, Ellur Ranjith Kumar, Iquebal Mir Asif, Pandey Rakesh, Rajendran Ambika, Sakhare Akshay, Sahoo Rabi Narayan, Chirravuri Naga Neeraja, Senthil A, Chinnusamy Viswanathan

机构信息

Division of Plant Physiology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute (IARI), New Delhi, India.

Nanaji Deshmukh Plant Phenomics Centre (NDPPC), Division of Plant Physiology, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute (IARI), New Delhi, India.

出版信息

iScience. 2025 Aug 7;28(9):113280. doi: 10.1016/j.isci.2025.113280. eCollection 2025 Sep 19.

Abstract

Improving nitrogen use efficiency (NUE) of rice plants utilizing a few end-of-season traits poses a severe phenotyping bottleneck in exploring the genetic diversity of a large population and genotype selection accuracy. Therefore, a comprehensive multivariate genotype selection strategy was developed to explore maximum genetic variation of 300 diverse rice genotypes and accurately select promising rice donors with enhanced NUE traits on a multi-year (2019, 2021, and 2022) -trait (126 traits) -environment (2) -temporal (5) -location (3) scale. The multi-trait genotype ideotype distance index (MGIDI) ranked Cauvery, Suweon, RPW9-4 (SSI) and BAM3690 (IC463705) as superior NUE genotypes; Moroberekan, PUSA1121 and BAM8315 (Basmati 370) as low NUE genotypes. The multi-location field performance and molecular analysis of key nitrogen assimilatory genes confirmed the outperformance of the Cauvery genotype in terms of possessing efficient N sensing, uptake, transport and assimilation characteristics under N-limited conditions. Phenome-wide multivariate analysis highlights root-shoot plastic response as a key target trait for breeding rice genotypes resilient to N stress conditions.

摘要

利用一些季末性状来提高水稻的氮素利用效率(NUE),在探索大群体的遗传多样性和基因型选择准确性方面构成了严重的表型瓶颈。因此,开发了一种综合多变量基因型选择策略,以在多年(2019年、2021年和2022年)-性状(126个性状)-环境(2个)-时间(5个)-地点(3个)的尺度上,探索300个不同水稻基因型的最大遗传变异,并准确选择具有增强NUE性状的有前景的水稻供体。多性状基因型理想型距离指数(MGIDI)将哥印拜陀、水原、RPW9-4(SSI)和BAM3690(IC463705)列为优良的NUE基因型;将莫罗贝坎、PUSA1121和BAM8315(巴斯马蒂370)列为低NUE基因型。关键氮同化基因的多地点田间表现和分子分析证实,哥印拜陀基因型在氮素有限条件下具有高效的氮素感知、吸收、运输和同化特性方面表现优异。全表型多变量分析突出了根-茎可塑性反应是培育耐氮胁迫水稻基因型的关键目标性状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d1/12398238/55ef2bb694a6/fx1.jpg

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