Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/199032
Type: Artigo de periódico
Title: A High-throughput Data Mining Of Single Nucleotide Polymorphisms In Coffea Species Expressed Sequence Tags Suggests Differential Homeologous Gene Expression In The Allotetraploid Coffea Arabica.
Author: Vidal, Ramon Oliveira
Mondego, Jorge Maurício Costa
Pot, David
Ambrósio, Alinne Batista
Andrade, Alan Carvalho
Pereira, Luiz Filipe Protasio
Colombo, Carlos Augusto
Vieira, Luiz Gonzaga Esteves
Carazzolle, Marcelo Falsarella
Pereira, Gonçalo Amarante Guimarães
Abstract: Polyploidization 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.
Subject: Coffea
Dna, Plant
Data Mining
Expressed Sequence Tags
Gene Expression Regulation, Plant
Gene Frequency
Genome, Plant
Haplotypes
Polymorphism, Single Nucleotide
Sequence Analysis, Dna
Tetraploidy
Rights: fechado
Identifier DOI: 10.1104/pp.110.162438
Address: http://www.ncbi.nlm.nih.gov/pubmed/20864545
Date Issue: 2010
Appears in Collections:Unicamp - Artigos e Outros Documentos

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