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Heterozygous Mapping Strategy (HetMappS) for High Resolution Genotyping-By-Sequencing Markers: A Case Study in Grapevine

机译:高分辨率基因分型按测序标记的杂合子作图策略(HetMappS):以葡萄树为例

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摘要

Genotyping by sequencing (GBS) provides opportunities to generate high-resolution genetic maps at a low genotyping cost, but for highly heterozygous species, missing data and heterozygote undercalling complicate the creation of GBS genetic maps. To overcome these issues, we developed a publicly available, modular approach called HetMappS, which functions independently of parental genotypes and corrects for genotyping errors associated with heterozygosity. For linkage group formation, HetMappS includes both a reference-guided synteny pipeline and a reference-independent de novo pipeline. The de novo pipeline can be utilized for under-characterized or high diversity families that lack an appropriate reference. We applied both HetMappS pipelines in five half-sib F1 families involving genetically diverse Vitis spp. Starting with at least 116,466 putative SNPs per family, the HetMappS pipelines identified 10,440 to 17,267 phased pseudo-testcross (Pt) markers and generated high-confidence maps. Pt marker density exceeded crossover resolution in all cases; up to 5,560 non-redundant markers were used to generate parental maps ranging from 1,047 cM to 1,696 cM. The number of markers used was strongly correlated with family size in both de novo and synteny maps (r = 0.92 and 0.91, respectively). Comparisons between allele and tag frequencies suggested that many markers were in tandem repeats and mapped as single loci, while markers in regions of more than two repeats were removed during map curation. Both pipelines generated similar genetic maps, and genetic order was strongly correlated with the reference genome physical order in all cases. Independently created genetic maps from shared parents exhibited nearly identical results. Flower sex was mapped in three families and correctly localized to the known sex locus in all cases. The HetMappS pipeline could have wide application for genetic mapping in highly heterozygous species, and its modularity provides opportunities to adapt portions of the pipeline to other family types, genotyping technologies or applications.
机译:测序基因分型(GBS)提供了以较低的基因型分型成本生成高分辨率遗传图谱的机会,但是对于高度杂合的物种,缺失数据和杂合子不足会使GBS遗传图谱的创建变得复杂。为了克服这些问题,我们开发了一种称为HetMappS的公开可用的模块化方法,该方法独立于亲本基因型起作用,并纠正与杂合性相关的基因分型错误。对于链接组的形成,HetMappS包括参考引导的同义管道和参考独立的从头管道。从头流水线可用于缺乏适当参考的特征不足或多样性高的家庭。我们将两个HetMappS管道应用于涉及遗传多样性葡萄(Vitis spp)的五个半同胞F1家族。从每个家庭至少116,466个推定的SNP开始,HetMappS管道可识别10,440至17,267个阶段性的伪测试交叉(Pt)标记并生成高可信度图。在所有情况下,Pt标记密度都超过了交叉分辨率;多达5,560个非冗余标记用于生成1,047 cM至1,696 cM的亲本图。在从头和连词图中,所用标记的数量与家族大小密切相关(分别为r = 0.92和0.91)。等位基因和标签频率之间的比较表明,许多标记是串联重复的,并被定位为单个基因座,而在两个以上重复区域中的标记在作图时被去除。两条管线都生成相似的遗传图谱,并且在所有情况下,遗传顺序都与参考基因组的物理顺序密切相关。由共同父母独立创建的遗传图谱显示出几乎相同的结果。在所有情况下,都将花性映射到三个科中,并正确定位到已知的性所在地。 HetMappS管道可以在高度杂合的物种中进行遗传图谱的广泛应用,其模块化提供了使管道的一部分适应其他家族类型,基因分型技术或应用的机会。

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