Evidence map›Paper›PMID 40739168›Full record

ArticleBMC plant biology2025

Genetic diversity of cultivated Gayo Arabica Coffee (Coffea arabica L.) based on morphological and microsatellite markers.

Rita Andini, Ahmad Zaelani, Muhammad Ikhsan Sulaiman, Enny Rimita Sembiring, Rachman Jaya, Meenakshi Gusain, Deepak Bhanot, Roma Sarnaik Morghade, Abdel-Rhman Z Gaafar, Abdul Azis and 1 more

Abstract read
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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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

11 authors.

Rita AndiniResearch Center for Applied Botany, Research Organization for Life Sciences and Environment, National Research and Innovation Agency [Badan Riset dan Inovasi Nasional (BRIN)], Kawasan Sains Teknologi (KST) Ir. Soekarno, Jl. Raya Jakarta-Bogor KM. 46, Cibinong, 16911, Indonesia.
Ahmad ZaelaniResearch Center for Genetic Engineering, Research Organization for Life Sciences and Environment, National Research and Innovation Agency [Badan Riset dan Inovasi Nasional (BRIN)], Kawasan Sains Teknologi (KST) Ir. Soekarno, Jl. Raya Jakarta-Bogor KM. 46, Cibinong, 16911, Indonesia.
Muhammad Ikhsan SulaimanDepartment of Agricultural Product Technology, Universitas Syiah Kuala, Jl, Tgk, Hasan Krueng Kalee No. 3, Kopelma Darussalam, Banda Aceh, 23111, Indonesia.
Enny Rimita SembiringResearch Center for Genetic Engineering, Research Organization for Life Sciences and Environment, National Research and Innovation Agency [Badan Riset dan Inovasi Nasional (BRIN)], Kawasan Sains Teknologi (KST) Ir. Soekarno, Jl. Raya Jakarta-Bogor KM. 46, Cibinong, 16911, Indonesia.
Rachman JayaStandardization Agency for Agricultural Instruments [Balai Penerapan Standardisasi Instrumen Pertanian (BPSIP)], Jl. Panglima Nyak Makam No. 27, Lampineung, Banda Aceh, 23125, Indonesia.
Meenakshi GusainUniversity Center for Research and Development, Chandigarh University, Mohali, Punjab, India.
Deepak BhanotCentre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Rajd Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Roma Sarnaik MorghadeAllied Health Sciences, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India.
Abdel-Rhman Z GaafarDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 11451, Riyadh, Saudi Arabia.
Abdul AzisResearch Center for Food Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency [Badan Riset dan Inovasi Nasional (BRIN)], Kawasan Sains Teknologi (KST) Ir. Soekarno, Jl. Raya Jakarta-Bogor KM. 46, Cibinong, West Java, 16911, Indonesia.
Heru Prono WidayatDepartment of Agricultural Product Technology, Universitas Syiah Kuala, Jl, Tgk, Hasan Krueng Kalee No. 3, Kopelma Darussalam, Banda Aceh, 23111, Indonesia. herupwidayat@usk.ac.id.

Funding

Researchers Supporting Project from the King Saud University, Riyadh, Saudi Arabia RSPD2025R686Universitas Syiah Kuala Grant No. 529/UN11/KPT/2022
6 · The paper itself

Abstract

backgroundIndonesia is the fourth largest global producer of coffee (Coffea spp.). The primary production centre for Coffea arabica in the country is the Gayo Highlands of Aceh. The Gayo Highlands in Aceh serve as a key arabica coffee-producing region, covering over 100,000 hectares across three districts: Aceh Tengah, Bener Meriah, and Gayo Lues, situated at elevations ranging from 900 to 2,000 m above sea level (asl). Despite the economic significance of Gayo Arabica coffee, studies on its genetic diversity remain limited. The objective of this study was to evaluate the morphological characteristics, particularly those associated with yield, and their genetic diversity.

resultsWe measured two types of analyses: a) morphological characteristics (N = 32 characteristics) were analysed from 51 accessions, with the resulting data categorised into qualitative and quantitative traits. The assessment of qualitative traits was conducted through visual observation, while quantitative traits were measured. The mean values of these traits were then subjected to Principal Component Analysis (PCA) in order to ascertain the principal contributing variables. In order to provide a comprehensive evaluation, genetic diversity was analysed using molecular markers in addition to the morphological assessments; b) genomic DNA was extracted from young leaf tissues [N = 52 samples; -1 robusta as outgroup was sampled], and a polymerase chain reaction (PCR) was conducted using eight microsatellite (SSR) markers. Subsequent analyses were then performed on the resulting DNA profiles, utilising clusterisation methodologies. The results indicated significant morphological variation among the accessions, yet comparatively low genetic diversity, as evidenced by a Nei's genetic diversity index of 0.36. Each SSR marker detected 2 to 4 polymorphic bands. Markers Sat227 and Sat240 produced 2 to 3 bands, while M24, Sat32, and A8847 revealed an average of 4.5 bands per marker. Sat207, Sat255, and AY2434 each produced three bands, with Sat255 classified as moderate in polymorphism based on prior literature. This finding suggests that a genetic bottleneck may have occurred in the Gayo Highlands arabica population.

conclusionThis work will be of particular relevance to breeding programs and conservation initiatives aimed at ensuring the sustainability of arabica coffee cultivation in Indonesia and other tropical highland regions. We found a relative high morphological diversities in terms of phenotypic trait (N = 32 traits) esp. in these yield related-traits e.g. leaf number per axil, number of leaves per branch, number of cherries per branch, etc.. However, the genetic diversity measured in this study by employing 51 arabica coffee accessions was found to be relatively low, namely 0.34. Furthermore, the use of Principal Component Analysis (PCA) helped to distil complex trait data, with the first principal component (PC1) accounting for 35.6% of the total variation, mainly driven by leaf- and yield-related characteristics. The findings of this study on the present genetic diversity of C. arabica will doubtless underpin future endeavours to enhance the species genetically, to develop future breeding programmes, and to improve the quality of the various varieties.

Indexed as

CoffeaGenetic VariationMicrosatellite RepeatsIndonesiaAcehBiodiversityMicrosatellitesPCASSR

Identifiers

PMID40739168
PMCPMC12308946

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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.