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通过关联作图挖掘水稻(Oryza sativa)抗倒伏性状的有利等位基因。

Mining of favorable alleles for lodging resistance traits in rice (oryza sativa) through association mapping.

机构信息

State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.

出版信息

Planta. 2018 Jul;248(1):155-169. doi: 10.1007/s00425-018-2885-y. Epub 2018 Apr 10.

DOI:10.1007/s00425-018-2885-y
PMID:29637263
Abstract

Fourteen new quantitative trait loci (QTLs) and ten favorable alleles were identified for lodging resistance traits in a natural population of rice. Parental combinations were designed to improve lodging resistance. Lodging is one of the most critical constraints to rice yield, and therefore, mining favorable alleles for lodging resistance traits is imperative for the advancement of cultivated rice and selection for market demand. This investigation was performed on a selected sample of 521 rice cultivars using 262 SSR markers in 2016 and 2017. Lodging resistance traits were evaluated by plant height (PH), stem length (SL), stem diameter (SD), anti-thrust per stem (AT/S), and stem index (SI), with AT/S, used as the lodging resistance index. A genome-wide association map was generated by combining phenotypic and genotypic data. Eight subpopulations were found by structure software, and the linkage disequilibrium (LD) ranged from 30 to 80 cM. Identification of 68 marker-trait associations (MTAs) linking in 64 SSR markers for five traits was done. QTL were detected, including 15 for PH, 14 for SL, 14 for SD, 7 for AT/S, and 18 for SI. A number of favorable alleles were also discovered, including 22, 24, 19, 12, and 28 alleles for PH, SL, SD, AT/S, and SI, respectively. These favorable alleles might be used to design parental combinations, and the predictable results found by relieving the favorable alleles per QTL. The accessions containing favorable alleles for lodging resistant traits mined in this study could be useful for breeding superior rice cultivars.

摘要

在水稻自然群体中鉴定到 14 个抗倒伏性数量性状位点(QTL)和 10 个有利等位基因。设计了亲本组合以提高抗倒伏性。倒伏是水稻产量的最关键限制因素之一,因此,挖掘抗倒伏性有利等位基因对于提高栽培稻和适应市场需求的选择至关重要。本研究于 2016 年和 2017 年,使用 262 个 SSR 标记对 521 个水稻品种进行了选择。通过株高(PH)、茎长(SL)、茎直径(SD)、每株抗推力(AT/S)和茎指数(SI)来评估抗倒伏性,其中 AT/S 用作抗倒伏指数。通过结合表型和基因型数据生成全基因组关联图谱。结构软件发现 8 个子群体,连锁不平衡(LD)范围为 30 至 80 cM。对与五个性状相关的 64 个 SSR 标记中的 68 个标记-性状关联(MTA)进行了鉴定。检测到 QTL,包括 PH 的 15 个、SL 的 14 个、SD 的 14 个、AT/S 的 7 个和 SI 的 18 个。还发现了一些有利等位基因,包括 PH、SL、SD、AT/S 和 SI 的 22、24、19、12 和 28 个等位基因。这些有利等位基因可用于设计亲本组合,并根据每个 QTL 缓解有利等位基因预测结果。本研究中挖掘的抗倒伏性有利等位基因的水稻品种可能有助于培育优良的水稻品种。

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