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A comparative transcriptomic study of an allotetraploid and its diploid progenitors illustrates the unique advantages and challenges of RNA-seq in plant species.

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TLDR
A novel metric developed to address issues arising from high degrees of gene space duplication and a method for dissecting a gene's measured transcript level in a polyploid species into the relative contribution of its homoeologues are presented.
Abstract
 Premise of the study: RNA-seq analysis of plant transcriptomes poses unique challenges due to the highly duplicated nature of plant genomes. We address these challenges in the context of recently formed polyploid species and detail an RNA-seq experiment comparing the leaf transcriptome profi le of an allopolyploid relative of soybean with the diploid species that contributed its homoeologous genomes.  Methods: RNA-seq reads were obtained from the three species and were aligned against the genome sequence of Glycine max. Transcript levels were estimated for each gene, relative contributions of polyploidy-duplicated loci (homoeologues) in the tetraploid were identifi ed, and comparisons of transcript profi les and individual genes were used to analyze the regulation of transcript levels.  Key results: We present a novel metric developed to address issues arising from high degrees of gene space duplication and a method for dissecting a gene ’ s measured transcript level in a polyploid species into the relative contribution of its homoeologues. We identify the gene family likely contributing to differences in photosynthetic rate between the allotetraploid and its progenitors and show that the tetraploid appears to be using the “ redundant ” gene copies in novel ways.  Conclusions: Given the prevalence of polyploidy events in plants, we believe many of the approaches developed here to be applicable, and often necessary, in most plant RNA-seq experiments. The deep sampling provided by RNA-seq allows us to dissect the genetic underpinnings of specifi c phenotypes as well as examine complex interactions within polyploid genomes.

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Journal ArticleDOI

Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome

Boulos Chalhoub, +86 more
- 22 Aug 2014 - 
TL;DR: The polyploid genome of Brassica napus, which originated from a recent combination of two distinct genomes approximately 7500 years ago and gave rise to the crops of rape oilseed, is sequenced.
Journal ArticleDOI

Legume phylogeny and classification in the 21st century: Progress, prospects and lessons for other species-rich clades

TL;DR: This work examines how the legume systematic research community might join forces to produce a comprehensive phylogenetic estimate for the Leguminosae, and examines how morphology can be incorporated into legume phylogeny to address issues in comparative biology and classification.
Journal ArticleDOI

Genomics of crop wild relatives: expanding the gene pool for crop improvement

TL;DR: Genome analysis results in discovery of useful alleles in CWR and identification of regions of the genome in which diversity has been lost in domestication bottlenecks.
Journal ArticleDOI

Applications of next-generation sequencing in plant biology.

TL;DR: This volume presents a brief synopsis of NGS technologies and the development of exemplary applications of such methods in the fields of molecular marker development, hybridization and introgression, transcriptome investigations, phylogenetic and ecological studies, polyploid genetics, and applications for large genebank collections.
Journal ArticleDOI

Polyploidy: Pitfalls and paths to a paradigm.

TL;DR: While certain rules may govern gene retention and loss, systems vary in the prevalence of gene silencing vs. homeolog loss, chromosomal change, the presence of a dominant genome (in allopolyploids), and the relative importance of hybridization vs. genome doubling per se, it is found that the path to synthesis is hindered by numerous gaps in knowledge of even the best-known systems.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
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Mapping and quantifying mammalian transcriptomes by RNA-Seq.

TL;DR: Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3′ untranscribed regions, as well as new candidate microRNA precursors.
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