Evidence map›Paper›PMID 38025745›Full record

ArticlePeerJ2023

Assessment of genetic diversity and phylogenetic relationship of local coffee populations in southwestern Saudi Arabia using DNA barcoding.

Habib Khemira, Mosbah Mahdhi, Muhammad Afzal, Mohammed D Y Oteef, Taieb Tounekti, Zarraq Al-Faifi, Wail Alsolami

Abstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Genetic diversity and population structure ofFrontiers in plant science · 2026
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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

7 authors.

Habib KhemiraCentre for Environmental Research and Studies, Jazan University, Jazan, Saudi Arabia.
Mosbah MahdhiCentre for Environmental Research and Studies, Jazan University, Jazan, Saudi Arabia.
Muhammad AfzalDepartment of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.
Mohammed D Y OteefDepartment of Chemistry, College of Science, Jazan University, Jazan, Saudi Arabia.
Taieb TounektiLaboratory of Process Engineering & Industrial Systems (LR11ES54), National Engineering School of Gabes, University of Gabes, Gabes, Tunisia.
Zarraq Al-FaifiDepartment of Biology, College of Science, Jazan University, Jazan, Saudi Arabia.
Wail AlsolamiDepartment of Biology, College of Science, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic diversity of local coffee populations is crucial to breed new varieties better adapted to the increasingly stressful environment due to climate change and evolving consumer preferences. Unfortunately, local coffee germplasm conservation and genetic assessment have not received much attention. Molecular tools offer substantial benefits in identifying and selecting new cultivars or clones suitable for sustainable commercial utilization. New annotation methods, such as chloroplast barcoding, are necessary to produce accurate and high-quality phylogenetic analyses. This study used DNA barcoding techniques to examine the genetic relationships among fifty-six accessions collected from the southwestern part of Saudi Arabia. PCR amplification and sequence characterization were used to investigate the effectiveness of four barcoding loci: atpB-rbcl, trnL-trnF, trnT-trnL, and trnL. The maximum nucleotide sites, nucleotide diversity, and an average number of nucleotide differences were recorded for atpB-rbcl, while trnT-trnL had the highest variable polymorphic sites, segregating sites, and haploid diversity. Among the four barcode loci, trnT-trnL recorded the highest singleton variable sites, while trnL recorded the highest parsimony information sites. Furthermore, the phylogenetic analysis clustered the

Indexed as

CoffeeDNA Barcoding, TaxonomicGenetic VariationNucleotidesPhylogenyPlant BreedingSaudi ArabiaCoffeeNucleotidesBarcodeChloroplastic DNACoffea arabicaGenetic diversityPopulation structureSaudi Arabia

Identifiers

PMID38025745
PMCPMC10680449

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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.