Literature DB >> 34904403

Pangenomics in crop improvement-from coding structural variations to finding regulatory variants with pangenome graphs.

Silvia F Zanini1, Philipp E Bayer2, Rachel Wells3, Rod J Snowdon1, Jacqueline Batley2, Rajeev K Varshney4,5, Henry T Nguyen6, David Edwards2, Agnieszka A Golicz1.   

Abstract

Since the first reported crop pangenome in 2014, advances in high-throughput and cost-effective DNA sequencing technologies facilitated multiple such studies including the pangenomes of oilseed rape (Brassica napus L.), soybean [Glycine max (L.) Merr.], rice (Oryza sativa L.), wheat (Triticum aestivum L.), and barley (Hordeum vulgare L.). Compared with single-reference genomes, pangenomes provide a more accurate representation of the genetic variation present in a species. By combining the genomic data of multiple accessions, pangenomes allow for the detection and annotation of complex DNA polymorphisms such as structural variations (SVs), one of the major determinants of genetic diversity within a species. In this review we summarize the current literature on crop pangenomics, focusing on their application to find candidate SVs involved in traits of agronomic interest. We then highlight the potential of pangenomes in the discovery and functional characterization of noncoding regulatory sequences and their variations. We conclude with a summary and outlook on innovative data structures representing the complete content of plant pangenomes including annotations of coding and noncoding elements and outcomes of transcriptomic and epigenomic experiments.
© 2021 The Authors. The Plant Genome published by Wiley Periodicals LLC on behalf of Crop Science Society of America.

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Year:  2021        PMID: 34904403     DOI: 10.1002/tpg2.20177

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  2 in total

Review 1.  Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species.

Authors:  Cassandria Geraldine Tay Fernandez; Benjamin John Nestor; Monica Furaste Danilevicz; Mitchell Gill; Jakob Petereit; Philipp Emanuel Bayer; Patrick Michael Finnegan; Jacqueline Batley; David Edwards
Journal:  Int J Mol Sci       Date:  2022-02-28       Impact factor: 5.923

2.  Haplotype mapping uncovers unexplored variation in wild and domesticated soybean at the major protein locus cqProt-003.

Authors:  Jacob I Marsh; Haifei Hu; Jakob Petereit; Philipp E Bayer; Babu Valliyodan; Jacqueline Batley; Henry T Nguyen; David Edwards
Journal:  Theor Appl Genet       Date:  2022-02-09       Impact factor: 5.574

  2 in total

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