Literature DB >> 30420647

Genebank genomics highlights the diversity of a global barley collection.

Sara G Milner1, Matthias Jost1,2, Shin Taketa3, Elena Rey Mazón1, Axel Himmelbach1, Markus Oppermann1, Stephan Weise1, Helmut Knüpffer1, Martín Basterrechea1, Patrick König1, Danuta Schüler1, Rajiv Sharma1,4, Raj K Pasam1,5, Twan Rutten1, Ganggang Guo6, Dongdong Xu6, Jing Zhang6, Gerhard Herren7, Thomas Müller7, Simon G Krattinger7,8, Beat Keller7, Yong Jiang1, Maria Y González1, Yusheng Zhao1, Antje Habekuß9, Sandra Färber9, Frank Ordon9, Matthias Lange1, Andreas Börner1, Andreas Graner1, Jochen C Reif1, Uwe Scholz1, Martin Mascher10,11, Nils Stein12,13.   

Abstract

Genebanks hold comprehensive collections of cultivars, landraces and crop wild relatives of all major food crops, but their detailed characterization has so far been limited to sparse core sets. The analysis of genome-wide genotyping-by-sequencing data for almost all barley accessions of the German ex situ genebank provides insights into the global population structure of domesticated barley and points out redundancies and coverage gaps in one of the world's major genebanks. Our large sample size and dense marker data afford great power for genome-wide association scans. We detect known and novel loci underlying morphological traits differentiating barley genepools, find evidence for convergent selection for barbless awns in barley and rice and show that a major-effect resistance locus conferring resistance to bymovirus infection has been favored by traditional farmers. This study outlines future directions for genomics-assisted genebank management and the utilization of germplasm collections for linking natural variation to human selection during crop evolution.

Entities:  

Mesh:

Year:  2018        PMID: 30420647     DOI: 10.1038/s41588-018-0266-x

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  75 in total

Review 1.  Prospects of pan-genomics in barley.

Authors:  Cécile Monat; Mona Schreiber; Nils Stein; Martin Mascher
Journal:  Theor Appl Genet       Date:  2018-11-16       Impact factor: 5.699

Review 2.  Broadening the horizon of crop research: a decade of advancements in plant molecular genetics to divulge phenotype governing genes.

Authors:  Ritu Singh; Kamal Kumar; Chellapilla Bharadwaj; Praveen Kumar Verma
Journal:  Planta       Date:  2022-01-25       Impact factor: 4.116

3.  Exome association analysis sheds light onto leaf rust (Puccinia triticina) resistance genes currently used in wheat breeding (Triticum aestivum L.).

Authors:  Fang Liu; Yusheng Zhao; Sebastian Beier; Yong Jiang; Patrick Thorwarth; C Friedrich H Longin; Martin Ganal; Axel Himmelbach; Jochen C Reif; Albert W Schulthess
Journal:  Plant Biotechnol J       Date:  2019-12-20       Impact factor: 9.803

4.  Triticum population sequencing provides insights into wheat adaptation.

Authors:  Yao Zhou; Xuebo Zhao; Yiwen Li; Jun Xu; Aoyue Bi; Lipeng Kang; Daxing Xu; Haofeng Chen; Ying Wang; Yuan-Ge Wang; Sanyang Liu; Chengzhi Jiao; Hongfeng Lu; Jing Wang; Changbin Yin; Yuling Jiao; Fei Lu
Journal:  Nat Genet       Date:  2020-10-26       Impact factor: 38.330

Review 5.  Advancing crop genomics from lab to field.

Authors:  Michael D Purugganan; Scott A Jackson
Journal:  Nat Genet       Date:  2021-05-06       Impact factor: 38.330

6.  Identification and candidate gene mining of HvSS1, a novel qualitative locus on chromosome 6H, regulating the uppermost internode elongation in barley (Hordeum vulgare L.).

Authors:  Xi Pu; Yanyan Tang; Meihao Zhang; Tao Li; Xvebing Qiu; Juanyu Zhang; Jinhui Wang; Lilan Li; Zhao Yang; Yan Su; Haili Zhang; Junjun Liang; Maoqun Yu; Yawei Tang; Guangbing Deng; Hai Long
Journal:  Theor Appl Genet       Date:  2021-05-03       Impact factor: 5.699

7.  Genomic structural equation modelling provides a whole-system approach for the future crop breeding.

Authors:  Tianhua He; Tefera Tolera Angessa; Camilla Beate Hill; Xiao-Qi Zhang; Kefei Chen; Hao Luo; Yonggang Wang; Sakura D Karunarathne; Gaofeng Zhou; Cong Tan; Penghao Wang; Sharon Westcott; Chengdao Li
Journal:  Theor Appl Genet       Date:  2021-05-31       Impact factor: 5.699

8.  Genome-Wide Characterization of WRKY Transcription Factors Revealed Gene Duplication and Diversification in Populations of Wild to Domesticated Barley.

Authors:  Jinhong Kan; Guangqi Gao; Qiang He; Qian Gao; Congcong Jiang; Sunny Ahmar; Jun Liu; Jing Zhang; Ping Yang
Journal:  Int J Mol Sci       Date:  2021-05-19       Impact factor: 5.923

Review 9.  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

Review 10.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04
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