Aegilops ventricosa 2NS segment and its impact on wheat yield

Yield data for Kansas State University wheat breeding lines (>3000) were collected over the course of more than two decades (1996-2017). Yield data for USDA-Regional Performance Nursery lines (>800) were collected from 1992 to 2015. The lines were genotyped using genotyping by sequencing (GBS). A custom pipeline to predict the presence of alien 2NS segment was carried out for these lines based on GBS data and reference wheat and alien (Aegilops ventricosa) genomes. Please reference Walkowiak S., Gao L., et al. 2020 Nature article (https://doi.org/10.1038/s41586-020-2961-x), and Gao et al 2020 Theoretical and Applied Genetics article (10.1007/s00122-020-03712-y) for more details.堪萨斯州立大学小麦育种品系（共3000余个）的产量数据采集周期跨越二十余载（1996年至2017年）。美国农业部（USDA）区域性能试验圃品系（逾800个）的产量数据采集时段为1992年至2015年。所有品系均采用测序分型（genotyping by sequencing, GBS）技术完成基因型鉴定。研究团队基于GBS数据以及参考小麦基因组与外源（节节麦(Aegilops ventricosa)）基因组，搭建了自定义分析流程，用于预测这批品系中外源2NS片段的存在情况。如需获取更多研究细节，请参阅Walkowiak S.、Gao L.等人2020年发表于《Nature》的论文（链接：https://doi.org/10.1038/s41586-020-2961-x）以及Gao等人2020年发表于《Theoretical and Applied Genetics》的论文（DOI：10.1007/s00122-020-03712-y）。