陈越, 陈玲, 钟巧芳, 张敦宇, 李婷婷, 程在全. 2022: 云南同名地方稻种资源主要表型性状及遗传变异的比较分析. 南方农业学报, 53(7): 1796-1808. DOI: 10.3969/j.issn.2095-1191.2022.07.002
引用本文: 陈越, 陈玲, 钟巧芳, 张敦宇, 李婷婷, 程在全. 2022: 云南同名地方稻种资源主要表型性状及遗传变异的比较分析. 南方农业学报, 53(7): 1796-1808. DOI: 10.3969/j.issn.2095-1191.2022.07.002
CHEN Yue, CHEN Ling, ZHONG Qiao-fang, ZHANG Dun-yu, LI Ting-ting, CHENG Zai-quan. 2022: Comparative analysis of main phenotypic traits and genetic variations of the local rice germplasm resources of the same name in Yunnan. Journal of Southern Agriculture, 53(7): 1796-1808. DOI: 10.3969/j.issn.2095-1191.2022.07.002
Citation: CHEN Yue, CHEN Ling, ZHONG Qiao-fang, ZHANG Dun-yu, LI Ting-ting, CHENG Zai-quan. 2022: Comparative analysis of main phenotypic traits and genetic variations of the local rice germplasm resources of the same name in Yunnan. Journal of Southern Agriculture, 53(7): 1796-1808. DOI: 10.3969/j.issn.2095-1191.2022.07.002

云南同名地方稻种资源主要表型性状及遗传变异的比较分析

Comparative analysis of main phenotypic traits and genetic variations of the local rice germplasm resources of the same name in Yunnan

  • 摘要: 【目的】比较分析云南同名地方稻种资源主要表型性状及遗传变异,为云南地方稻种质资源的保存、研究及利用提供科学依据。【方法】以133份云南同名地方稻种资源为材料,将同名或相似名资源划为1组,共分为11组,调查其13个表型性状,计算各组同名地方稻种资源的欧式距离,利用非加权配对平均法(UPGMA)对供试资源进行聚类分析,并结合SSR分子标记进行遗传多样性分析。【结果】 133份云南同名地方稻种资源13个表型性状在11组内均存在不同程度的变异,变异系数为3.74%(J组的谷粒长)~82.96%(C组的每穗实粒数),且在各组同名地方稻种资源间均存在差异显著(P<0.05)或极显著(P<0.01)的表型性状。11组同名地方稻种资源间表型性状的欧氏距离差异明显,分别为1.63 (G4与G7)~10.45 (A5与A21),在欧式距离为1.95时,133份同名地方稻种资源被聚为八大类群。48个SSR标记在133份云南同名地方稻种资源中共检测到395个多态性位点,各标记扩增出的等位基因数为2(RM5622)~16(RM2851)个,平均为8.23个; 48个SSR标记在11组同名地方稻种资源中检测到的等位基因数为154个(K组)~263个(A组)。48个SSR标记的主要等位基因频率、基因多样性指数及多态信息含量(PIC)差异较大,主要等位基因频率为0.1617~0.7970,平均为0.3332,基因多样性指数为0.3562~0.9054,平均为0.7704,PIC为0.3388~0.8977,平均为0.7419。11组同名地方稻种资源的SSR分子标记遗传相似系数差异明显,为0.4545~0.9040,在遗传相似系数0.1400处可将133份资源分为七大类群。【结论】云南同名地方稻种资源的多样性丰富,经表型性状和SSR分子标记鉴定133份同名地方稻种资源中并未出现重复资源,两种鉴定方法得到的结果既有一定的联系,又有一些差异。所用标记的多态性丰富,具有区分云南同名地方稻种资源的能力,可用于云南水稻种质资源鉴别。

     

    Abstract: 【Objective】To compare and analyze main phenotypic traits and genetic variations of the local rice germplasm resources of the same name in Yunnan, so as to provide a scientific basis for the conservation, research and utilization of Yunnan local rice germplasm resources.【Method】Taking 133 local rice resources with the same name in Yunnan as test materials, 133 resources were divided into 11 groups and resources of the same name or similar names were categorized into the same group. Thirteen phenotypic traits were investigated and Euclidean distance was calculated according to the traits. And cluster analysis was carried out through unweighted pair groups method average(UPGMA) and SSR markers were used to conduct genetic diversity analysis.【Result】Different degrees of variation was found in 13 phenotypic traits og the 11 groups, with a variation coefficient from 3.74%(grain length in group J) to 82.96%(filled grain number per panicle in group C). Significant(P<0.05) or extremely significant(P<0.01) difference existed in phenotypic traits among the local rice seed resources of the same name in each group. Phenotypic Euclidean distance of 11 groups of local rice resources with the same name was significantly different, and the Euclidean distance from 1.63(G4 and G7) to 10.45 (A5 and A21). When the Euclidean distance was 1.95, 133 local rice resources with the same name could be divided into 8 groups. A total of 395 polymorphic loci were detected from 48 pairs of SSR markers in 133 local rice resources of the same name in Yunnan. The number of polymorphic loci amplified by each marker ranged from 2(RM5622) to 16 (RM2851), with an average of 8.23. In groups, 154 alleles(group K) to 263 alleles(group A) in 11 groups of local rice resources with the same name were detected through 48 pairs of SSR markers. The major allele frequency, gene diversity index and polymorphism information content(PIC) of 48 pairs of SSR markers were significantly different. The major allele frequency was 0.1617-0.7970, with an average of 0.3332, the gene diversity index was 0.3562-0.9054, with an average of 0.7704, and the PIC was 0.3388-0.8977, with an average of 0.7419. SSR genetic similarity coefficients among 11 groups of local rice resources with the same name varied greatly, ranging from 0.4545 to 0.9040. At the genetic similarity coefficients of 0.1400, 133 resources could be divided into 7 groups.【Conclusion】Local rice resources of the same name in Yunnan are diverse. Phenotypic traits and SSR molecular markers showed that there are no duplicate resources in the 11 groups of 133 resources. The results of the 2 identification methods are matched somehow, but different at the same time. The markers used have high polymorphism, with the function of distinguishing local rice resources of the same name in Yunnan, which can be used to detect rice resources in Yunnan.

     

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