Evidence map›Paper›PMID 23798974›Full record

ArticleEvolutionary applications2013

Genetic variation and risks of introgression in the wild Coffea arabica gene pool in south-western Ethiopian montane rainforests.

Raf Aerts, Gezahegn Berecha, Pieter Gijbels, Kitessa Hundera, Sabine Glabeke, Katrien Vandepitte, Bart Muys, Isabel Roldán-Ruiz, Olivier Honnay

Abstract read
In one paragraph

Article in Evolutionary applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  5. Article
  6. Genomic Evaluation ofPlants (Basel, Switzerland) · 2023
    Article
  7. Ecology, evolution, and conservation of Ethiopia's biodiversity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Article
  9. Article
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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.

Raf AertsDivision Forest, Nature and Landscape, University of Leuven Leuven, Belgium.
Gezahegn Berecha
Pieter Gijbels
Kitessa Hundera
Sabine Glabeke
Katrien Vandepitte
Bart Muys
Isabel Roldán-Ruiz
Olivier Honnay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The montane rainforests of SW Ethiopia are the primary centre of diversity of Coffea arabica and the origin of all Arabica coffee cultivated worldwide. This wild gene pool is potentially threatened by forest fragmentation and degradation, and by introgressive hybridization with locally improved coffee varieties. We genotyped 703 coffee shrubs from unmanaged and managed coffee populations, using 24 microsatellite loci. Additionally, we genotyped 90 individuals representing 23 Ethiopian cultivars resistant to coffee berry disease (CBD). We determined population genetic diversity, genetic structure, and admixture of cultivar alleles in the in situ gene pool. We found strong genetic differentiation between managed and unmanaged coffee populations, but without significant differences in within-population genetic diversity. The widespread planting of coffee seedlings including CBD-resistant cultivars most likely offsets losses of genetic variation attributable to genetic drift and inbreeding. Mixing cultivars with original coffee genotypes, however, leaves ample opportunity for hybridization and replacement of the original coffee gene pool, which already shows signs of admixture. In situ conservation of the wild gene pool of C. arabica must therefore focus on limiting coffee production in the remaining wild populations, as intensification threatens the genetic integrity of the gene pool by exposing wild genotypes to cultivars.

Indexed as

admixtureAfromontane rainforestcoffeecrop wild relativeecosystem servicesgenetic erosion

Identifiers

PMID23798974
PMCPMC3689350

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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.