Majeed Aasim, Johar Prerna, Raina Aamir, Salgotra R K, Feng Xianzhong, Bhat Javaid Akhter
School of Agricultural Biotechnology, Punjab Agriculture University (PAU), Ludhiana, India.
School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, India.
Front Genet. 2022 Aug 8;13:944501. doi: 10.3389/fgene.2022.944501. eCollection 2022.
Most plant traits are governed by polygenes including both major and minor genes. Linkage mapping and positional cloning have contributed greatly to mapping genomic loci controlling important traits in crop species. However, they are low-throughput, time-consuming, and have low resolution due to which their efficiency in crop breeding is reduced. In this regard, the bulk segregant analysis sequencing (BSA-seq) and its related approaches, viz., quantitative trait locus (QTL)-seq, bulk segregant RNA-Seq (BSR)-seq, and MutMap, have emerged as efficient methods to identify the genomic loci/QTLs controlling specific traits at high resolution, accuracy, reduced time span, and in a high-throughput manner. These approaches combine BSA with next-generation sequencing (NGS) and enable the rapid identification of genetic loci for qualitative and quantitative assessments. Many previous studies have shown the successful identification of the genetic loci for different plant traits using BSA-seq and its related approaches, as discussed in the text with details. However, the efficiency and accuracy of the BSA-seq depend upon factors like sequencing depth and coverage, which enhance the sequencing cost. Recently, the rapid reduction in the cost of NGS together with the expected cost reduction of third-generation sequencing in the future has further increased the accuracy and commercial applicability of these approaches in crop improvement programs. This review article provides an overview of BSA-seq and its related approaches in crop breeding together with their merits and challenges in trait mapping.
大多数植物性状受多基因控制,包括主基因和微效基因。连锁作图和图位克隆在定位控制作物重要性状的基因组位点方面发挥了重要作用。然而,它们通量低、耗时且分辨率低,因此在作物育种中的效率降低。在这方面,分离群体分组分析法测序(BSA-seq)及其相关方法,即数量性状位点(QTL)-seq、分离群体分组RNA测序(BSR)-seq和MutMap,已成为以高分辨率、高精度、缩短时间跨度和高通量方式鉴定控制特定性状的基因组位点/QTL的有效方法。这些方法将BSA与新一代测序(NGS)相结合,能够快速鉴定用于定性和定量评估的遗传位点。如文中详细讨论的,许多先前的研究表明,使用BSA-seq及其相关方法成功鉴定了不同植物性状的遗传位点。然而,BSA-seq的效率和准确性取决于测序深度和覆盖范围等因素,这会增加测序成本。最近,NGS成本的迅速降低以及未来第三代测序预期的成本降低,进一步提高了这些方法在作物改良计划中的准确性和商业适用性。本文综述了BSA-seq及其在作物育种中的相关方法,以及它们在性状定位中的优点和挑战。