Evidence map›Paper›PMID 23708951›Full record

ArticlePlant molecular biology2013

BAC-end sequences analysis provides first insights into coffee (Coffea canephora P.) genome composition and evolution.

Alexis Dereeper, Romain Guyot, Christine Tranchant-Dubreuil, François Anthony, Xavier Argout, Fabien de Bellis, Marie-Christine Combes, Frederick Gavory, Alexandre de Kochko, Dave Kudrna and 6 more

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Article in Plant molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

16 authors.

Alexis DereeperInstitut de Recherche pour le Développement (IRD), UMR RPB (CIRAD, IRD, UM2), BP 64501, 34394, Montpellier Cedex 5, France.
Romain Guyot
Christine Tranchant-Dubreuil
François Anthony
Xavier Argout
Fabien de Bellis
Marie-Christine Combes
Frederick Gavory
Alexandre de Kochko
Dave Kudrna
Thierry Leroy
Julie Poulain
Myriam Rondeau
Xiang Song
Rod Wing
Philippe Lashermes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee is one of the world's most important agricultural commodities. Coffee belongs to the Rubiaceae family in the euasterid I clade of dicotyledonous plants, to which the Solanaceae family also belongs. Two bacterial artificial chromosome (BAC) libraries of a homozygous doubled haploid plant of Coffea canephora were constructed using two enzymes, HindIII and BstYI. A total of 134,827 high quality BAC-end sequences (BESs) were generated from the 73,728 clones of the two libraries, and 131,412 BESs were conserved for further analysis after elimination of chloroplast and mitochondrial sequences. This corresponded to almost 13 % of the estimated size of the C. canephora genome. 6.7 % of BESs contained simple sequence repeats, the most abundant (47.8 %) being mononucleotide motifs. These sequences allow the development of numerous useful marker sites. Potential transposable elements (TEs) represented 11.9 % of the full length BESs. A difference was observed between the BstYI and HindIII libraries (14.9 vs. 8.8 %). Analysis of BESs against known coding sequences of TEs indicated that 11.9 % of the genome corresponded to known repeat sequences, like for other flowering plants. The number of genes in the coffee genome was estimated at 41,973 which is probably overestimated. Comparative genome mapping revealed that microsynteny was higher between coffee and grapevine than between coffee and tomato or Arabidopsis. BESs constitute valuable resources for the first genome wide survey of coffee and provide new insights into the composition and evolution of the coffee genome.

Indexed as

Chromosomes, Artificial, BacterialEvolution, MolecularGenome, PlantCoffeeDNA, PlantMicrosatellite RepeatsCoffeeDNA, Plant

Identifiers

What OpenQuestion holds

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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.