Literature DB >> 25090999

Doubling down on genomes: polyploidy and crop plants.

Simon Renny-Byfield1, Jonathan F Wendel1.   

Abstract

Polyploidy, or whole genome multiplication, is ubiquitous among angiosperms. Many crop species are relatively recent allopolyploids, resulting from interspecific hybridization and polyploidy. Thus, an appreciation of the evolutionary consequences of (allo)polyploidy is central to our understanding of crop plant domestication, agricultural improvement, and the evolution of angiosperms in general. Indeed, many recent insights into plant biology have been gleaned from polyploid crops, including, but not limited to wheat, tobacco, sugarcane, apple, and cotton. A multitude of evolutionary processes affect polyploid genomes, including rapid and substantial genome reorganization, transgressive gene expression alterations, gene fractionation, gene conversion, genome downsizing, and sub- and neofunctionalization of duplicate genes. Often these genomic changes are accompanied by heterosis, robustness, and the improvement of crop yield, relative to closely related diploids. Historically, however, the genome-wide analysis of polyploid crops has lagged behind those of diploid crops and other model organisms. This lag is partly due to the difficulties in genome assembly, resulting from the genomic complexities induced by combining two or more evolutionarily diverged genomes into a single nucleus and by the significant size of polyploid genomes. In this review, we explore the role of polyploidy in angiosperm evolution, the domestication process and crop improvement. We focus on the potential of modern technologies, particularly next-generation sequencing, to inform us on the patterns and processes governing polyploid crop improvement and phenotypic change subsequent to domestication.
© 2014 Botanical Society of America, Inc.

Entities:  

Keywords:  crop improvement; domestication; epigenetics; gene duplication; genomic shock; next-generation sequencing; polyploidy; whole-genome duplication

Mesh:

Year:  2014        PMID: 25090999     DOI: 10.3732/ajb.1400119

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  109 in total

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