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Harnessing the potential of bulk segregant analysis sequencing and its related approaches in crop breeding. | LitMetric

AI Article Synopsis

  • Most plant traits are influenced by many genes, and traditional methods like linkage mapping are slow and not very precise, making them less effective for breeding crops.
  • Newer methods such as bulk segregant analysis sequencing (BSA-seq) and similar techniques offer a faster, more accurate way to identify genetic loci for specific traits using advanced sequencing technologies.
  • Though BSA-seq has shown great success in identifying genetic traits, its effectiveness relies on factors like sequencing depth and coverage, but the decreasing costs of sequencing technology are making these methods more viable for crop improvement.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393495PMC
http://dx.doi.org/10.3389/fgene.2022.944501DOI Listing

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