Transcriptome analysis in Coffea eugenioides, an Arabica coffee ancestor, reveals differentially expressed genes in leaves and fruits

Yuyama, Priscila Mary; Reis Júnior, Osvaldo; Ivamoto, Suzana Tiemi; Domingues, Douglas Silva [UNESP]; Carazzolle, Marcelo Falsarella; Pereira, Gonçalo Amarante Guimarães; Charmetant, Pierre; Leroy, Thierry; Pereira, Luiz Filipe Protasio

Transcriptome analysis in Coffea eugenioides, an Arabica coffee ancestor, reveals differentially expressed genes in leaves and fruits

Arquivos

2-s2.0-84955696376.pdf (1.31 MB)

Data

2016-02-01

Autores

Yuyama, Priscila Mary

Reis Júnior, Osvaldo

Ivamoto, Suzana Tiemi

Domingues, Douglas Silva

Carazzolle, Marcelo Falsarella

Pereira, Gonçalo Amarante Guimarães

Charmetant, Pierre

Leroy, Thierry

Pereira, Luiz Filipe Protasio

Tipo

Artigo

Direito de acesso

Acesso aberto

Resumo

Studies in diploid parental species of polyploid plants are important to understand their contributions to the formation of plant and species evolution. Coffeaeugenioides is a diploid species that is considered to be an ancestor of allopolyploid Coffeaarabica together with Coffeacanephora. Despite its importance in the evolutionary history of the main economic species of coffee, no study has focused on C. eugenioides molecular genetics. RNA-seq creates the possibility to generate reference transcriptomes and identify coding genes and potential candidates related to important agronomic traits. Therefore, the main objectives were to obtain a global overview of transcriptionally active genes in this species using next-generation sequencing and to analyze specific genes that were highly expressed in leaves and fruits with potential exploratory characteristics for breeding and understanding the evolutionary biology of coffee. A de novo assembly generated 36,935 contigs that were annotated using eight databases. We observed a total of ~5000 differentially expressed genes between leaves and fruits. Several genes exclusively expressed in fruits did not exhibit similarities with sequences in any database. We selected ten differentially expressed unigenes in leaves and fruits to evaluate transcriptional profiles using qPCR. Our study provides the first gene catalog for C. eugenioides and enhances the knowledge concerning the mechanisms involved in the C. arabica homeologous. Furthermore, this work will open new avenues for studies into specific genes and pathways in this species, especially related to fruit, and our data have potential value in assisted breeding applications.