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Dissection of genetic architecture for tiller angle in rice (Oryza sativa. L) by multiple genome-wide association analyses

文献类型： 外文期刊

作者： Rashid, Muhammad Abdul Rehman 1 ; Atif, Rana Muhammad 4 ; Zhao, Yan 1 ; Azeem, Farrukh 3 ; Ahmed, Hafiz Ghulam Muhu-Din 6 ; Pan, Yinghua 7 ; Li, Danting 7 ; Zhao, Yong 1 ; Zhang, Zhanying 1 ; Zhang, Hongliang 1 ; Li, Jinjie 1 ; Li, Zichao 1 ;

作者机构： 1.China Agr Univ, Coll Agron & Biotechnol, State Key Lab Agrobiotechnol, Beijing Key Lab Crop Genet Improvement, Beijing, Peoples R China

2.Yunnan Univ, Sch Agr, Kunming, Yunnan, Peoples R China

3.Univ Faisalabad, Dept Bioinformat & Biotechnol, Govt Coll, Faisalabad, Pakistan

4.Univ Agr Faisalabad, Dept Plant Breeding & Genet, Faisalabad, Pakistan

5.Shandong Agr Univ, Coll Agron, Tai An, Shandong, Peoples R China

6.Islamia Univ, Dept Plant Breeding & Genet, Bahawalpur, Bahawalpur, Pakistan

7.Guangxi Acad Agr Sci, Rice Res Inst, Nanning, Guangxi, Peoples R China

关键词： Tiller angle; Association mapping; Rice (Oryza sativa L.); Candidate genes; Genetic architecture

期刊名称：PEERJ （ 影响因子：3.061； 五年影响因子：3.537 ）

ISSN： 2167-8359

年卷期： 2022 年 10 卷

页码：

收录情况： SCI

摘要： Background: The rice plant architecture is determined by spatially and temporally domesticated tiller angle. The deeper insight into the genetic mechanism for rice plant architecture will allow more efficient light capture by increasing the planting density, reproducibility, and the ability to survive in a stressful environment. Methods: In this study, a natural population of 795 genotypes further divided into japonica and indica subpopulations, was evaluated for tiller angle. A significant variation with a wide range was observed. Genome-wide association analysis was performed by the general linear model (GLM), and compressed mix linear model (cMLM) for three populations to disclose the genomic associations. The population principal components and kinship matrix in 1,000 permutations were used to remove the false positives. The candidate genes were evaluated for their functional annotations and specific molecular pathways. The sequencing-based haplotype analysis was further performed to reveal the functional variation among candidate genomic regions. Results: As a result, 37 significant QTLs with 93 annotated loci were identified. Among the loci, a known tiller angle controlling locus TAC1 was also identified. The introduction of the sequence pooling technique was observed fruitful to screen the 12 significant QTLs with 22 annotated loci. For ten of these loci, the functional variations were identified by haplotype analysis. These results were not only providing a better understanding of the genetic bases of rice plant architecture but also provide significant information for future breeding programs.

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