Literature DB >> 34931728

Bulk segregation analysis in the NGS era: a review of its teenage years.

Zhiqiang Li1, Yuhui Xu1.   

Abstract

Bulk segregation analysis (BSA) utilizes a strategy of pooling individuals with extreme phenotypes to conduct economical and rapidly linked marker screening or quantitative trait locus (QTL) mapping. With the development of next-generation sequencing (NGS) technology in the past 10 years, BSA methods and technical systems have been gradually developed and improved. At the same time, the ever-decreasing costs of sequencing accelerate NGS-based BSA application in different species, including eukaryotic yeast, grain crops, economic crops, horticultural crops, trees, aquatic animals, and insects. This paper provides a landscape of BSA methods and reviews the BSA development process in the past decade, including the sequencing method for BSA, different populations, different mapping algorithms, associated region threshold determination, and factors affecting BSA mapping. Finally, we summarize related strategies in QTL fine mapping combining BSA.
© 2021 Society for Experimental Biology and John Wiley & Sons Ltd.

Entities:  

Keywords:  bulk segregation analysis (BSA); bulked segregant RNA-seq (BSR-seq); fine mapping; mapping algorithm; next-generation sequencing (NGS); population; threshold

Mesh:

Year:  2022        PMID: 34931728     DOI: 10.1111/tpj.15646

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  7 in total

1.  Identification of Genomic Loci and Candidate Genes Related to Seed Tocopherol Content in Soybean.

Authors:  Suprio Ghosh; Shengrui Zhang; Muhammad Azam; Kwadwo Gyapong Agyenim-Boateng; Jie Qi; Yue Feng; Yecheng Li; Jing Li; Bin Li; Junming Sun
Journal:  Plants (Basel)       Date:  2022-06-27

2.  dQTG.seq: A comprehensive R tool for detecting all types of QTLs using extreme phenotype individuals in bi-parental segregation populations.

Authors:  Pei Li; Liu-Qiong Wei; Yi-Fan Pan; Yuan-Ming Zhang
Journal:  Comput Struct Biotechnol J       Date:  2022-05-14       Impact factor: 6.155

3.  Identification of single major QTL and candidate gene(s) governing hull-less seed trait in pumpkin.

Authors:  Barinder Kaur; Karmvir Singh Garcha; Dharminder Bhatia; Jiffinvir Singh Khosa; Madhu Sharma; Amandeep Mittal; Neha Verma; Ajmer Singh Dhatt
Journal:  Front Plant Sci       Date:  2022-08-11       Impact factor: 6.627

4.  PNGSeqR: An R Package for Rapid Candidate Gene Selection through Pooled Next-Generation Sequencing.

Authors:  Sihan Zhen; Hongwei Zhang; Yuxin Xie; Song Zhang; Yan Chen; Riliang Gu; Sanzhen Liu; Xuemei Du; Junjie Fu
Journal:  Plants (Basel)       Date:  2022-07-11

5.  A combinatorial strategy to identify various types of QTLs for quantitative traits using extreme phenotype individuals in an F2 population.

Authors:  Pei Li; Guo Li; Ya-Wen Zhang; Jian-Fang Zuo; Jin-Yang Liu; Yuan-Ming Zhang
Journal:  Plant Commun       Date:  2022-03-25

6.  Conuping BSA-Seq and RNA-Seq Reveal the Molecular Pathway and Genes Associated with the Plant Height of Foxtail Millet (Setaria italica).

Authors:  Yongbin Gao; Yuhao Yuan; Xiongying Zhang; Hui Song; Qinghua Yang; Pu Yang; Xiaoli Gao; Jinfeng Gao; Baili Feng
Journal:  Int J Mol Sci       Date:  2022-10-05       Impact factor: 6.208

7.  High-performance pipeline for MutMap and QTL-seq.

Authors:  Yu Sugihara; Lester Young; Hiroki Yaegashi; Satoshi Natsume; Daniel J Shea; Hiroki Takagi; Helen Booker; Hideki Innan; Ryohei Terauchi; Akira Abe
Journal:  PeerJ       Date:  2022-03-18       Impact factor: 2.984

  7 in total

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