Evidence map›Paper›PMID 26334613›Full record

ArticleMolecular genetics and genomics : MGG2016

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

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

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Priscila Mary YuyamaPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.
Osvaldo Reis JúniorLaboratório de Genômica e Expressão, Departamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Suzana Tiemi IvamotoPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil.
Douglas Silva DominguesLaboratório de Biotecnologia Vegetal, Instituto Agronômico do Paraná (IAPAR), Londrina, Paraná, Brazil.
Marcelo Falsarella CarazzolleLaboratório de Genômica e Expressão, Departamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Gonçalo Amarante Guimarães PereiraLaboratório de Genômica e Expressão, Departamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Pierre CharmetantCentre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR AGAP, 34398, Montpellier, France.
Thierry LeroyCentre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), UMR AGAP, 34398, Montpellier, France.
Luiz Filipe Protasio PereiraLaboratório de Biotecnologia Vegetal, Instituto Agronômico do Paraná (IAPAR), Londrina, Paraná, Brazil. filipe.pereira@embrapa.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies in diploid parental species of polyploid plants are important to understand their contributions to the formation of plant and species evolution. Coffea eugenioides is a diploid species that is considered to be an ancestor of allopolyploid Coffea arabica together with Coffea canephora. 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.

Indexed as

CoffeaCoffeeDiploidyDNA, PlantExpressed Sequence TagsFruitGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantPlant LeavesPolyploidySequence Analysis, DNATranscriptomeCoffeeDNA, PlantCoffeaDifferentially expressed genesGene annotationHomeologousRNA-seq

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.