Programa Seringueira, Instituto Agronômico, Campinas, SP Brazil.
Genet Mol Biol. 2010 Apr;33(2):308-18. doi: 10.1590/S1415-47572010005000039. Epub 2010 Jun 1.
Genetic diversity of 60 Hevea genotypes, consisting of Asiatic, Amazonian, African and IAC clones, and pertaining to the genetic breeding program of the Agronomic Institute (IAC), Brazil, was estimated. Analyses were based on phenotypic multivariate parameters and microsatellites. Five agronomic descriptors were employed in multivariate procedures, such as Standard Euclidian Distance, Tocher clustering and principal component analysis. Genetic variability among the genotypes was estimated with 68 selected polymorphic SSRs, by way of Modified Rogers Genetic Distance and UPGMA clustering. Structure software in a Bayesian approach was used in discriminating among groups. Genetic diversity was estimated through Nei's statistics. The genotypes were clustered into 12 groups according to the Tocher method, while the molecular analysis identified six groups. In the phenotypic and microsatellite analyses, the Amazonian and IAC genotypes were distributed in several groups, whereas the Asiatic were in only a few. Observed heterozygosity ranged from 0.05 to 0.96. Both high total diversity (H(T') = 0.58) and high gene differentiation (G (st') = 0.61) were observed, and indicated high genetic variation among the 60 genotypes, which may be useful for breeding programs. The analyzed agronomic parameters and SSRs markers were effective in assessing genetic diversity among Hevea genotypes, besides proving to be useful for characterizing genetic variability.
对巴西农科院(IAC)的 60 个 Hevea 基因型(包括亚洲型、亚马逊型、非洲型和 IAC 克隆)的遗传多样性进行了估计。分析基于表型多变量参数和微卫星。多元分析中使用了 5 个农艺描述符,如标准欧式距离、托奇聚类和主成分分析。通过使用 Modified Rogers 遗传距离和 UPGMA 聚类,对 68 个选定的多态性 SSR 进行了遗传变异估计。结构软件在贝叶斯方法中用于区分群体。通过 Nei 的统计数据估计遗传多样性。根据托奇方法,基因型分为 12 组,而分子分析则分为 6 组。在表型和微卫星分析中,亚马逊和 IAC 基因型分布在多个组中,而亚洲型仅分布在少数几个组中。观察到的杂合度范围为 0.05 至 0.96。均观察到高总多样性(H(T')= 0.58)和高基因分化(G(st')= 0.61),表明 60 个基因型之间存在高度遗传变异,这可能对育种计划有用。分析的农艺参数和 SSRs 标记有效地评估了 Hevea 基因型之间的遗传多样性,同时也证明了它们在表征遗传变异方面的有用性。