Evidence map›Paper›PMID 30061608›Full record

ArticleScientific reports2018

The coffee bean transcriptome explains the accumulation of the major bean components through ripening.

Bing Cheng, Agnelo Furtado, Robert J Henry

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 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

3 authors.

Bing ChengQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, 4072, Australia.
Agnelo FurtadoQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, 4072, Australia.
Robert J HenryQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, 4072, Australia. robert.henry@uq.edu.au.ORCID 0000-0002-4060-0292

Funding

China Scholarship Council (CSC) 2014-2018
6 · The paper itself

Abstract

The composition of the maturing coffee bean determines the processing performance and ultimate quality of the coffee produced from the bean. Analysis of differences in gene expression during bean maturation may explain the basis of genetic and environmental variation in coffee quality. The transcriptome of the coffee bean was analyzed at three stages of development, immature (green), intermediate (yellow) and mature (red). A total of more than 120 million 150 bp paired-end reads were collected by sequencing of transcripts of triplicate samples at each developmental stage. A greater number of transcripts were expressed at the yellow stage. As the beans matured the types of highly expressed transcripts changed from transcripts predominantly associated with galactomannan, triacylglycerol (TAG), TAG lipase, 11 S and 7S-like storage protein and Fasciclin-like arabinogalactan protein 17 (FLA17) in green beans to transcripts related to FLA1 at the yellow stage and TAG storage lipase SDP1, and SDP1-like in red beans. This study provides a genomic resource that can be used to investigate the impact of environment and genotype on the bean transcriptome and develop coffee varieties and production systems that are better adapted to deliver quality coffee despite climate variations.

Indexed as

CoffeaDown-RegulationGene Expression Regulation, PlantGene Regulatory NetworksGenes, PlantGenetic Association StudiesRNA, MessengerSeedsTranscriptomeUp-RegulationRNA, Messenger

Identifiers

PMID30061608
PMCPMC6065352

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.