文献类型： 外文期刊

作者： Dang, Zhenyu ¹ ; Yang, Jixuan ¹ ; Wang, Lin ¹ ; Tao, Qin ¹ ; Zhang, Fengjun ² ; Zhang, Yuxin ¹ ; Luo, Zewei ¹ ;

作者机构： 1.Fudan Univ Shanghai, Inst Biostat, Lab Populat & Quantitat Genet, Shanghai 200433, Peoples R China

2.Qinghai Acad Agr & Forestry Sci, Xining 200433, Peoples R China

3.Univ Birmingham, Sch Biosci, Birmingham B15 2TT, W Midlands, England

关键词： sampling variation; overdispersion; RAD-seq data; Solanum tuberosum L.

期刊名称：PLANTS-BASEL （ 影响因子：3.935； ）

ISSN：

年卷期： 2021 年 10 卷 2 期

页码：

收录情况： SCI

摘要： The new sequencing technology enables identification of genome-wide sequence-based variants at a population level and a competitively low cost. The sequence variant-based molecular markers have motivated enormous interest in population and quantitative genetic analyses. Generation of the sequence data involves a sophisticated experimental process embedded with rich non-biological variation. Statistically, the sequencing process indeed involves sampling DNA fragments from an individual sequence. Adequate knowledge of sampling variation of the sequence data generation is one of the key statistical properties for any downstream analysis of the data and for implementing statistically appropriate methods. This paper reports a thorough investigation on modeling the sampling variation of the sequence data from the optimized RAD-seq (Restriction sit associated DNA sequencing) experiments with two parents and their offspring of diploid and autotetraploid potato (Solanum tuberosum L.). The analysis shows significant dispersion in sampling variation of the sequence data over that expected under multinomial distribution as widely assumed in the literature and provides statistical methods for modeling the variation and calculating the model parameters, which may be easily implemented in real sequence datasets. The optimized design of RAD-seq experiments enabled effective control of presentation of undesirable chloroplast DNA and RNA genes in the sequence data generated.