Literature DB >> 31317235

Next-generation sequencing-based bulked segregant analysis for QTL mapping in the heterozygous species Brassica rapa.

Noriaki Itoh1, Tenta Segawa1, Muluneh Tamiru2, Akira Abe3, Shota Sakamoto1, Aiko Uemura3, Kaori Oikawa3, Hiroto Kutsuzawa1, Hironori Koga1, Tomohiro Imamura1, Ryohei Terauchi3,4, Hiroki Takagi5.   

Abstract

KEY MESSAGE: An improved protocol of QTL-seq, an NGS-based method for bulked segregant analysis we previously developed in rice, allowed successful mapping of QTLs of interest in the highly heterozygous genome of B. rapa, demonstrating the power of this elegant method for genetic analyses in heterozygous species of economic importance. Recent advances in next-generation sequencing (NGS) and the various NGS-based methods developed for rapidly identifying candidate genes of interest have accelerated genetic analysis mainly in the model plants rice and Arabidopsis. Brassica rapa includes several economically important crops such as Chinese cabbage, turnip and various leafy vegetables. The application of NGS-based approaches for the analysis of B. rapa has been limited mainly due to its highly heterozygous genome and poor quality of the reference genome sequence currently available for this species. In this study, we have improved QTL-seq, a method for NGS-based bulked segregant analysis we previously developed in rice, extending its applicability for accelerating the genetic analysis and molecular breeding of B. rapa. Addition of new filters to the original QTL-seq pipeline allowed removal of spurious single-nucleotide polymorphisms caused by alignment/sequencing errors and variability between parents, significantly improving accuracy of the analysis. As proof of principle, we successfully applied the new approach to identify candidate genomic regions controlling flowering and trichome formation using segregating F2 progeny obtained from crosses made between cultivars of B. rapa showing contrasting phenotypes for these traits. We strongly believe that the improved QTL-seq method reported here will extend the applicability of NGS-based genetic analysis not only to B. rapa but also to other plant species of economic importance with heterozygous genomes.

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Year:  2019        PMID: 31317235     DOI: 10.1007/s00122-019-03396-z

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  27 in total

1.  Sequence-level analysis of the diploidization process in the triplicated FLOWERING LOCUS C region of Brassica rapa.

Authors:  Tae-Jin Yang; Jung Sun Kim; Soo-Jin Kwon; Ki-Byung Lim; Beom-Soon Choi; Jin-A Kim; Mina Jin; Jee Young Park; Myung-Ho Lim; Ho-Il Kim; Yong Pyo Lim; Jason Jongho Kang; Jin-Han Hong; Chang-Bae Kim; Jong Bhak; Ian Bancroft; Beom-Seok Park
Journal:  Plant Cell       Date:  2006-04-21       Impact factor: 11.277

2.  The S receptor kinase determines self-incompatibility in Brassica stigma.

Authors:  T Takasaki; K Hatakeyama; G Suzuki; M Watanabe; A Isogai; K Hinata
Journal:  Nature       Date:  2000-02-24       Impact factor: 49.962

3.  Isolation of molecular markers from specific chromosomal intervals using DNA pools from existing mapping populations.

Authors:  J J Giovannoni; R A Wing; M W Ganal; S D Tanksley
Journal:  Nucleic Acids Res       Date:  1991-12-11       Impact factor: 16.971

4.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

5.  Genetic relationships within Brassica rapa as inferred from AFLP fingerprints.

Authors:  Jianjun Zhao; Xiaowu Wang; Bo Deng; Ping Lou; Jian Wu; Rifei Sun; Zeyong Xu; Jaap Vromans; Maarten Koornneef; Guusje Bonnema
Journal:  Theor Appl Genet       Date:  2005-04-02       Impact factor: 5.699

6.  Analysis of the genome sequence of the flowering plant Arabidopsis thaliana.

Authors: 
Journal:  Nature       Date:  2000-12-14       Impact factor: 49.962

7.  The map-based sequence of the rice genome.

Authors: 
Journal:  Nature       Date:  2005-08-11       Impact factor: 49.962

8.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

9.  Coevolution of the S-locus genes SRK, SLG and SP11/SCR in Brassica oleracea and B. rapa.

Authors:  Keiichi Sato; Takeshi Nishio; Ryo Kimura; Makoto Kusaba; Tohru Suzuki; Katsunori Hatakeyama; David J Ockendon; Yoko Satta
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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  2 in total

Review 1.  Recent advances in Cannabis sativa genomics research.

Authors:  Bhavna Hurgobin; Muluneh Tamiru-Oli; Matthew T Welling; Monika S Doblin; Antony Bacic; James Whelan; Mathew G Lewsey
Journal:  New Phytol       Date:  2021-01-08       Impact factor: 10.151

2.  Mapping-by-Sequencing Reveals Genomic Regions Associated with Seed Quality Parameters in Brassica napus.

Authors:  Hanna Marie Schilbert; Boas Pucker; David Ries; Prisca Viehöver; Zeljko Micic; Felix Dreyer; Katrin Beckmann; Benjamin Wittkop; Bernd Weisshaar; Daniela Holtgräwe
Journal:  Genes (Basel)       Date:  2022-06-23       Impact factor: 4.141

  2 in total

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