Literature DB >> 30506522

Whole genome sequencing of a MAGIC population identified genomic loci and candidate genes for major fiber quality traits in upland cotton (Gossypium hirsutum L.).

Gregory N Thyssen1,2, Johnie N Jenkins3, Jack C McCarty3, Linghe Zeng4, B Todd Campbell5, Christopher D Delhom6, Md Sariful Islam7, Ping Li1, Don C Jones8, Brian D Condon2, David D Fang9.   

Abstract

KEY MESSAGE: Significant associations between candidate genes and six major cotton fiber quality traits were identified in a MAGIC population using GWAS and whole genome sequencing. Upland cotton (Gossypium hirsutum L.) is the world's major renewable source of fibers for textiles. To identify causative genetic variants that influence the major agronomic measures of cotton fiber quality, which are used to set discount or premium prices on each bale of cotton in the USA, we measured six fiber phenotypes from twelve environments, across three locations and 7 years. Our 550 recombinant inbred lines were derived from a multi-parent advanced generation intercross population and were whole-genome-sequenced at 3× coverage, along with the eleven parental cultivars at 20× coverage. The segregation of 473,517 single nucleotide polymorphisms (SNPs) in this population, including 7506 non-synonymous mutations, was combined with phenotypic data to identify seven highly significant fiber quality loci. At these loci, we found fourteen genes with non-synonymous SNPs. Among these loci, some had simple additive effects, while others were only important in a subset of the population. We observed additive effects for elongation and micronaire, when the three most significant loci for each trait were examined. In an informative subset where the major multi-trait locus on chromosome A07:72-Mb was fixed, we unmasked the identity of another significant fiber strength locus in gene Gh_D13G1792 on chromosome D13. The micronaire phenotype only revealed one highly significant genetic locus at one environmental location, demonstrating a significant genetic by environment component. These loci and candidate causative variant alleles will be useful to cotton breeders for marker-assisted selection with minimal linkage drag and potential biotechnological applications.

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Year:  2018        PMID: 30506522     DOI: 10.1007/s00122-018-3254-8

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


  37 in total

1.  QTL analysis of genotype x environment interactions affecting cotton fiber quality.

Authors:  A H Paterson; Y Saranga; M Menz; C-X Jiang; R J Wright
Journal:  Theor Appl Genet       Date:  2002-09-19       Impact factor: 5.699

2.  Toward a theory of marker-assisted gene pyramiding.

Authors:  Bertrand Servin; Olivier C Martin; Marc Mézard; Frédéric Hospital
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

3.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

4.  Genetic design and statistical power of nested association mapping in maize.

Authors:  Jianming Yu; James B Holland; Michael D McMullen; Edward S Buckler
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

Review 5.  Genome-wide association studies for complex traits: consensus, uncertainty and challenges.

Authors:  Mark I McCarthy; Gonçalo R Abecasis; Lon R Cardon; David B Goldstein; Julian Little; John P A Ioannidis; Joel N Hirschhorn
Journal:  Nat Rev Genet       Date:  2008-05       Impact factor: 53.242

6.  Mixed linear model approach adapted for genome-wide association studies.

Authors:  Zhiwu Zhang; Elhan Ersoz; Chao-Qiang Lai; Rory J Todhunter; Hemant K Tiwari; Michael A Gore; Peter J Bradbury; Jianming Yu; Donna K Arnett; Jose M Ordovas; Edward S Buckler
Journal:  Nat Genet       Date:  2010-03-07       Impact factor: 38.330

7.  The genetic architecture of maize flowering time.

Authors:  Edward S Buckler; James B Holland; Peter J Bradbury; Charlotte B Acharya; Patrick J Brown; Chris Browne; Elhan Ersoz; Sherry Flint-Garcia; Arturo Garcia; Jeffrey C Glaubitz; Major M Goodman; Carlos Harjes; Kate Guill; Dallas E Kroon; Sara Larsson; Nicholas K Lepak; Huihui Li; Sharon E Mitchell; Gael Pressoir; Jason A Peiffer; Marco Oropeza Rosas; Torbert R Rocheford; M Cinta Romay; Susan Romero; Stella Salvo; Hector Sanchez Villeda; H Sofia da Silva; Qi Sun; Feng Tian; Narasimham Upadyayula; Doreen Ware; Heather Yates; Jianming Yu; Zhiwu Zhang; Stephen Kresovich; Michael D McMullen
Journal:  Science       Date:  2009-08-07       Impact factor: 47.728

8.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

9.  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

10.  Fast and SNP-tolerant detection of complex variants and splicing in short reads.

Authors:  Thomas D Wu; Serban Nacu
Journal:  Bioinformatics       Date:  2010-02-10       Impact factor: 6.937

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  13 in total

1.  Elucidation of sequence polymorphism in fuzzless-seed cotton lines.

Authors:  Marina Naoumkina; Gregory N Thyssen; David D Fang; Ping Li; Christopher B Florane
Journal:  Mol Genet Genomics       Date:  2020-11-03       Impact factor: 3.291

2.  Evaluation of genomic selection methods for predicting fiber quality traits in Upland cotton.

Authors:  Md Sariful Islam; David D Fang; Johnie N Jenkins; Jia Guo; Jack C McCarty; Don C Jones
Journal:  Mol Genet Genomics       Date:  2019-08-31       Impact factor: 3.291

3.  A GWAS identified a major QTL for resistance to Fusarium wilt (Fusarium oxysporum f. sp. vasinfectum) race 4 in a MAGIC population of Upland cotton and a meta-analysis of QTLs for Fusarium wilt resistance.

Authors:  Yi Zhu; Gregory N Thyssen; Abdelraheem Abdelraheem; Zonghua Teng; David D Fang; Johnie N Jenkins; Jack C McCarty; Tom Wedegaertner; Kater Hake; Jinfa Zhang
Journal:  Theor Appl Genet       Date:  2022-05-16       Impact factor: 5.574

4.  GWAS reveals consistent QTL for drought and salt tolerance in a MAGIC population of 550 lines derived from intermating of 11 Upland cotton (Gossypium hirsutum) parents.

Authors:  Abdelraheem Abdelraheem; Gregory N Thyssen; David D Fang; Johnie N Jenkins; Jack C McCarty; Tom Wedegaertner; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2020-10-13       Impact factor: 3.291

5.  The genomic basis of geographic differentiation and fiber improvement in cultivated cotton.

Authors:  Shoupu He; Gaofei Sun; Xiaoli Geng; Wenfang Gong; Panhong Dai; Yinhua Jia; Weijun Shi; Zhaoe Pan; Junduo Wang; Liyuan Wang; Songhua Xiao; Baojun Chen; Shufang Cui; Chunyuan You; Zongming Xie; Feng Wang; Jie Sun; Guoyong Fu; Zhen Peng; Daowu Hu; Liru Wang; Baoyin Pang; Xiongming Du
Journal:  Nat Genet       Date:  2021-04-15       Impact factor: 38.330

6.  Genetic and transcriptomic dissection of the fiber length trait from a cotton (Gossypium hirsutum L.) MAGIC population.

Authors:  Marina Naoumkina; Gregory N Thyssen; David D Fang; Johnie N Jenkins; Jack C McCarty; Christopher B Florane
Journal:  BMC Genomics       Date:  2019-02-06       Impact factor: 3.969

Review 7.  Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding.

Authors:  Michael F Scott; Olufunmilayo Ladejobi; James Cockram; Richard Mott; Samer Amer; Alison R Bentley; Jay Biernaskie; Scott A Boden; Matt Clark; Matteo Dell'Acqua; Laura E Dixon; Carla V Filippi; Nick Fradgley; Keith A Gardner; Ian J Mackay; Donal O'Sullivan; Lawrence Percival-Alwyn; Manish Roorkiwal; Rakesh Kumar Singh; Mahendar Thudi; Rajeev Kumar Varshney; Luca Venturini; Alex Whan
Journal:  Heredity (Edinb)       Date:  2020-07-03       Impact factor: 3.821

8.  Cotton pan-genome retrieves the lost sequences and genes during domestication and selection.

Authors:  Jianying Li; Daojun Yuan; Pengcheng Wang; Qiongqiong Wang; Mengling Sun; Zhenping Liu; Huan Si; Zhongping Xu; Yizan Ma; Boyang Zhang; Liuling Pei; Lili Tu; Longfu Zhu; Ling-Ling Chen; Keith Lindsey; Xianlong Zhang; Shuangxia Jin; Maojun Wang
Journal:  Genome Biol       Date:  2021-04-23       Impact factor: 13.583

Review 9.  Ratooning Annual Cotton (Gossypium spp.) for Perennial Utilization of Heterosis.

Authors:  Xin Zhang; Zhiyong Zhang; Ruiyang Zhou; Qinglian Wang; Linsong Wang
Journal:  Front Plant Sci       Date:  2020-12-03       Impact factor: 5.753

Review 10.  Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.

Authors:  Pallavi Sinha; Vikas K Singh; Abhishek Bohra; Arvind Kumar; Jochen C Reif; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2021-05-20       Impact factor: 5.699

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