AI Article Synopsis

  • Polyploidy is crucial in angiosperm evolution, particularly through the formation of allotetraploids from hybridization and the presence of duplicated gene copies.
  • A new analytical approach has been developed to effectively assess homeolog-specific expression, involving the assembly of parental transcriptomes and a robust statistical model to analyze data while reducing redundancy.
  • The study found that in recent allopolyploids, there is largely balanced expression between homeologs without strong parental bias, and the methods can be broadly applied to other tetrapolyploid systems.

Article Abstract

Polyploidy has played a pivotal and recurring role in angiosperm evolution. Allotetraploids arise from hybridization between species and possess duplicated gene copies (homeologs) that serve redundant roles immediately after polyploidization. Although polyploidization is a major contributor to plant evolution, it remains poorly understood. We describe an analytical approach for assessing homeolog-specific expression that begins with assembly of parental transcriptomes and effectively (i) reduces redundancy in assemblies, (ii) identifies putative orthologs, (iii) isolates common regions between orthologs, and (iv) assesses homeolog-specific expression using a robust Bayesian Poisson-Gamma model to account for sequence bias when mapping polyploid reads back to parental references. Using this novel methodology, we examine differential homeolog contributions to the transcriptome in the recently formed allopolyploids and (Compositae). Notably, we assess a larger gene set than previous studies of this system. Using carefully identified orthologous regions and filtering biased orthologs, we find in both allopolyploids largely balanced expression with no strong parental bias. These new methods can be used to examine homeolog expression in any tetrapolyploid system without requiring a reference genome.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218233PMC
http://dx.doi.org/10.1534/genetics.118.301564DOI Listing

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