Literature DB >> 27003869

Understanding and utilizing crop genome diversity via high-resolution genotyping.

Kai Voss-Fels1, Rod J Snowdon1.   

Abstract

High-resolution genome analysis technologies provide an unprecedented level of insight into structural diversity across crop genomes. Low-cost discovery of sequence variation has become accessible for all crops since the development of next-generation DNA sequencing technologies, using diverse methods ranging from genome-scale resequencing or skim sequencing, reduced-representation genotyping-by-sequencing, transcriptome sequencing or sequence capture approaches. High-density, high-throughput genotyping arrays generated using the resulting sequence data are today available for the assessment of genomewide single nucleotide polymorphisms in all major crop species. Besides their application in genetic mapping or genomewide association studies for dissection of complex agronomic traits, high-density genotyping arrays are highly suitable for genomic selection strategies. They also enable description of crop diversity at an unprecedented chromosome-scale resolution. Application of population genetics parameters to genomewide diversity data sets enables dissection of linkage disequilibrium to characterize loci underlying selective sweeps. High-throughput genotyping platforms simultaneously open the way for targeted diversity enrichment, allowing rejuvenation of low-diversity chromosome regions in strongly selected breeding pools to potentially reverse the influence of linkage drag. Numerous recent examples are presented which demonstrate the power of next-generation genomics for high-resolution analysis of crop diversity on a subgenomic and chromosomal scale. Such studies give deep insight into the history of crop evolution and selection, while simultaneously identifying novel diversity to improve yield and heterosis.
© 2015 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd.

Keywords:  breeding; genome diversity; high-throughput genomics; selection

Mesh:

Year:  2015        PMID: 27003869     DOI: 10.1111/pbi.12456

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  28 in total

1.  Genetics of a hardy crop.

Authors:  Ksenia V Krasileva
Journal:  Nat Biotechnol       Date:  2017-10-11       Impact factor: 54.908

Review 2.  A user guide to the Brassica 60K Illumina Infinium™ SNP genotyping array.

Authors:  Annaliese S Mason; Erin E Higgins; Rod J Snowdon; Jacqueline Batley; Anna Stein; Christian Werner; Isobel A P Parkin
Journal:  Theor Appl Genet       Date:  2017-02-20       Impact factor: 5.699

3.  CerealsDB: A Whistle-Stop Tour of an Open Access SNP Resource.

Authors:  Mark Winfield; Paul Wilkinson; Amanda Burridge; Alexandra Allen; Jane Coghill; Christy Waterfall; Keith Edwards; Gary Barker
Journal:  Methods Mol Biol       Date:  2022

4.  Associative and Physical Mapping of Markers Related to Fusarium in Maize Resistance, Obtained by Next-Generation Sequencing (NGS).

Authors:  Aleksandra Sobiech; Agnieszka Tomkowiak; Bartosz Nowak; Jan Bocianowski; Łukasz Wolko; Julia Spychała
Journal:  Int J Mol Sci       Date:  2022-05-29       Impact factor: 6.208

5.  A Seaweed Extract-Based Biostimulant Mitigates Drought Stress in Sugarcane.

Authors:  Lucas Moraes Jacomassi; Josiane de Oliveira Viveiros; Marcela Pacola Oliveira; Letusa Momesso; Gabriela Ferraz de Siqueira; Carlos Alexandre Costa Crusciol
Journal:  Front Plant Sci       Date:  2022-04-28       Impact factor: 6.627

6.  A high-density SNP-based linkage map using genotyping-by-sequencing and its utilization for improved genome assembly of chickpea (Cicer arietinum L.).

Authors:  Rashmi Gaur; Subodh Verma; Seema Pradhan; Heena Ambreen; Sabhyata Bhatia
Journal:  Funct Integr Genomics       Date:  2020-08-27       Impact factor: 3.410

Review 7.  Broadening the bread wheat D genome.

Authors:  Ghader Mirzaghaderi; Annaliese S Mason
Journal:  Theor Appl Genet       Date:  2019-02-10       Impact factor: 5.699

Review 8.  Connecting genome structural variation with complex traits in crop plants.

Authors:  Iulian Gabur; Harmeet Singh Chawla; Rod J Snowdon; Isobel A P Parkin
Journal:  Theor Appl Genet       Date:  2018-11-17       Impact factor: 5.699

9.  Regional association analysis coupled with transcriptome analyses reveal candidate genes affecting seed oil accumulation in Brassica napus.

Authors:  Min Yao; Mei Guan; Qian Yang; Luyao Huang; Xinghua Xiong; Habib U Jan; Kai P Voss-Fels; Christian R Werner; Xin He; Wei Qian; Rod J Snowdon; Chunyun Guan; Wei Hua; Lunwen Qian
Journal:  Theor Appl Genet       Date:  2021-03-06       Impact factor: 5.699

10.  Unlocking new alleles for leaf rust resistance in the Vavilov wheat collection.

Authors:  Adnan Riaz; Naveenkumar Athiyannan; Sambasivam K Periyannan; Olga Afanasenko; Olga P Mitrofanova; Gregory J Platz; Elizabeth A B Aitken; Rod J Snowdon; Evans S Lagudah; Lee T Hickey; Kai P Voss-Fels
Journal:  Theor Appl Genet       Date:  2017-10-04       Impact factor: 5.699

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