Guimarães R A, Telles M P C, Antunes A M, Corrêa K M, Ribeiro C V G, Coelho A S G, Soares T N
Laboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, , , Brasil
Laboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, , , Brasil.
Genet Mol Res. 2017 Apr 28;16(2):gmr-16-02-gmr.16029639. doi: 10.4238/gmr16029639.
The use of next-generation sequencing (NGS) technologies provides a great volume of genome sequence data even for non-model species. The development of microsatellite markers using these data is a relatively quick and easy process. Dipteryx alata Vogel (Fabaceae) is an arboreal species from the Cerrado biome and is considered an important plant genetic resource. Here, we report the development of microsatellite markers for D. alata using NGS data. DNA samples from four individuals were sequenced using the Illumina MiSeq platform and high-quality reads were assembled into contigs of the D. alata genome sequence. Microsatellite regions were identified using the IMEX webserver and primer pairs were designed using the Primer3 software. The amplification settings for each locus were optimized. Fluorescent-labeled primers were developed and used to genotype individuals derived from three natural populations of D. alata. Fifty-four microsatellite regions were identified, from which 27 were elected to primer design. Among the amplified loci, 11 were polymorphic, with the number of alleles ranging from 2 to 10. The expected heterozygosity under Hardy-Weinberg Equilibrium (HWE) per locus varied from 0.191 to 0.807. Genotype and allele frequencies for all loci agreed with those expected under HWE and linkage disequilibrium was not significant for all pairs of loci. The probabilities of exclusion of paternity and of combined identity were equal to 0.993 and 5.65 x 10, respectively. The markers developed in this study are useful to several types of population genetic studies with D. alata and, eventually, for closely related species.
即使对于非模式物种,使用下一代测序(NGS)技术也能提供大量的基因组序列数据。利用这些数据开发微卫星标记是一个相对快速且简便的过程。双翼豆(豆科)是一种来自塞拉多生物群落的乔木物种,被认为是一种重要的植物遗传资源。在此,我们报告利用NGS数据为双翼豆开发微卫星标记的情况。使用Illumina MiSeq平台对来自四个个体的DNA样本进行测序,并将高质量的读段组装成双翼豆基因组序列的重叠群。使用IMEX网络服务器识别微卫星区域,并使用Primer3软件设计引物对。对每个位点的扩增条件进行了优化。开发了荧光标记引物,并用于对来自三个双翼豆自然种群的个体进行基因分型。共识别出54个微卫星区域,从中选出27个进行引物设计。在扩增的位点中,11个具有多态性,等位基因数量从2到10不等。每个位点在哈迪-温伯格平衡(HWE)下的预期杂合度从0.191到0.807不等。所有位点的基因型和等位基因频率与HWE预期的一致,并且所有位点对之间的连锁不平衡不显著。排除父系的概率和联合身份概率分别等于0.993和5.65×10。本研究中开发的标记对于多种类型的双翼豆种群遗传学研究以及最终对于近缘物种都很有用。