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Article . 2010 . Peer-reviewed
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A High-Throughput Data Mining of Single Nucleotide Polymorphisms inCoffeaSpecies Expressed Sequence Tags Suggests Differential Homeologous Gene Expression in the AllotetraploidCoffea arabica

Authors: Marcelo Falsarella Carazzolle; Luiz Gonzaga Esteves Vieira; Alan Carvalho Andrade; Jorge Maurício Costa Mondego; David Pot; Ramon O. Vidal; Gonçalo Amarante Guimarães Pereira; +3 Authors

A High-Throughput Data Mining of Single Nucleotide Polymorphisms inCoffeaSpecies Expressed Sequence Tags Suggests Differential Homeologous Gene Expression in the AllotetraploidCoffea arabica

Abstract

AbstractPolyploidization constitutes a common mode of evolution in flowering plants. This event provides the raw material for the divergence of function in homeologous genes, leading to phenotypic novelty that can contribute to the success of polyploids in nature or their selection for use in agriculture. Mounting evidence underlined the existence of homeologous expression biases in polyploid genomes; however, strategies to analyze such transcriptome regulation remained scarce. Important factors regarding homeologous expression biases remain to be explored, such as whether this phenomenon influences specific genes, how paralogs are affected by genome doubling, and what is the importance of the variability of homeologous expression bias to genotype differences. This study reports the expressed sequence tag assembly of the allopolyploid Coffea arabica and one of its direct ancestors, Coffea canephora. The assembly was used for the discovery of single nucleotide polymorphisms through the identification of high-quality discrepancies in overlapped expressed sequence tags and for gene expression information indirectly estimated by the transcript redundancy. Sequence diversity profiles were evaluated within C. arabica (Ca) and C. canephora (Cc) and used to deduce the transcript contribution of the Coffea eugenioides (Ce) ancestor. The assignment of the C. arabica haplotypes to the C. canephora (CaCc) or C. eugenioides (CaCe) ancestral genomes allowed us to analyze gene expression contributions of each subgenome in C. arabica. In silico data were validated by the quantitative polymerase chain reaction and allele-specific combination TaqMAMA-based method. The presence of differential expression of C. arabica homeologous genes and its implications in coffee gene expression, ontology, and physiology are discussed.

Keywords

Expressed Sequence Tags, DNA, Plant, Coffea, Sequence Analysis, DNA, Polymorphism, Single Nucleotide, Tetraploidy, Gene Frequency, Haplotypes, Gene Expression Regulation, Plant, Data Mining, Genome, Plant

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 10%
Top 10%
Top 10%
hybrid