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用于高分辨率测序基因分型标记的杂合映射策略(HetMappS):葡萄中的一个案例研究

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

作者信息

Hyma Katie E, Barba Paola, Wang Minghui, Londo Jason P, Acharya Charlotte B, Mitchell Sharon E, Sun Qi, Reisch Bruce, Cadle-Davidson Lance

机构信息

Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America; Genomic Diversity Facility, Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America.

Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, United States of America.

出版信息

PLoS One. 2015 Aug 5;10(8):e0134880. doi: 10.1371/journal.pone.0134880. eCollection 2015.

Abstract

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.

摘要

测序基因分型(GBS)为以较低的基因分型成本生成高分辨率遗传图谱提供了机会,但对于高度杂合的物种,缺失数据和杂合子漏判使GBS遗传图谱的构建变得复杂。为克服这些问题,我们开发了一种名为HetMappS的公开可用模块化方法,该方法独立于亲本基因型起作用,并校正与杂合性相关的基因分型错误。对于连锁群的形成,HetMappS包括一个参考引导的共线性管道和一个独立于参考的从头管道。从头管道可用于特征描述不足或缺乏合适参考的高多样性家系。我们将HetMappS的两个管道应用于五个涉及遗传多样性葡萄属物种的半同胞F1家系。每个家系从至少116,466个推定的单核苷酸多态性(SNP)开始,HetMappS管道识别出10,440至17,267个分阶段的伪测交(Pt)标记,并生成了高可信度的图谱。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范围从1,047厘摩到1,696厘摩的亲本图谱。在从头图谱和共线性图谱中,使用的标记数量与家系大小都密切相关(分别为r = 0.92和0.91)。等位基因频率和标签频率之间的比较表明,许多标记位于串联重复中并被定位为单一位点,而在图谱整理过程中,超过两个重复区域的标记被去除。两个管道生成了相似的遗传图谱,并且在所有情况下,遗传顺序与参考基因组物理顺序都密切相关。从共享亲本独立创建的遗传图谱显示出几乎相同的结果。在三个家系中对花的性别进行了定位,并且在所有情况下都正确地定位到了已知的性别位点。HetMappS管道在高度杂合物种的遗传图谱构建中可能具有广泛的应用,并且其模块化提供了将管道的部分内容应用于其他家系类型、基因分型技术或应用的机会。

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