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基于形态学和微卫星标记的栽培加约阿拉比卡咖啡(Coffea arabica L.)的遗传多样性

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

作者信息

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

机构信息

Research 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.

Research Center for Biochar and Tropical Rain Forests, Universitas Syiah Kuala, Jl. Teuku Nyak Arief, Kopelma Darussalam, Banda Aceh, 23111, Indonesia.

出版信息

BMC Plant Biol. 2025 Jul 30;25(1):990. doi: 10.1186/s12870-025-06768-4.

Abstract

BACKGROUND

Indonesia 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.

RESULTS

We 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.

CONCLUSION

This 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.

摘要

背景

印度尼西亚是全球第四大咖啡(咖啡属)生产国。该国阿拉比卡咖啡的主要生产中心是亚齐的加约高地。亚齐的加约高地是主要的阿拉比卡咖啡产区,覆盖亚齐 Tengah、Bener Meriah 和 Gayo Lues 三个地区,面积超过 10 万公顷,海拔在海平面以上 900 至 2000 米之间。尽管加约阿拉比卡咖啡具有经济重要性,但其遗传多样性研究仍然有限。本研究的目的是评估其形态特征,特别是与产量相关的特征及其遗传多样性。

结果

我们进行了两种类型的分析:a)从 51 份种质中分析了形态特征(N = 32 个特征),所得数据分为定性和定量性状。定性性状通过目视观察进行评估,定量性状则进行测量。然后对这些性状的平均值进行主成分分析(PCA),以确定主要的贡献变量。为了提供全面评估,除了形态评估外,还使用分子标记分析了遗传多样性;b)从幼叶组织中提取基因组 DNA [N = 52 个样本;采集了 1 份罗布斯塔作为外类群],并使用八个微卫星(SSR)标记进行聚合酶链反应(PCR)。随后对所得的 DNA 图谱进行分析,采用聚类方法。结果表明,种质间存在显著的形态变异,但遗传多样性相对较低,Nei 遗传多样性指数为 0.36 证明了这一点。每个 SSR 标记检测到 2 至 4 个多态性条带。标记 Sat227 和 Sat240 产生 2 至 3 条带,而 M24、Sat32 和 A8847 每个标记平均显示 4.5 条带。Sat207、Sat255 和 AY2434 每个都产生三条带,根据先前文献,Sat255 的多态性被归类为中等。这一发现表明加约高地阿拉比卡种群可能发生了遗传瓶颈。

结论

这项工作对于旨在确保印度尼西亚和其他热带高地地区阿拉比卡咖啡种植可持续性的育种计划和保护举措将具有特别重要的意义。我们发现,就表型性状(N = 32 个性状)而言,尤其是在这些与产量相关的性状方面,如每叶腋的叶片数、每枝的叶片数、每枝的樱桃数等,存在相对较高的形态多样性。然而,本研究通过使用 51 份阿拉比卡咖啡种质测量的遗传多样性相对较低,即 0.34。此外,主成分分析(PCA)的使用有助于提炼复杂的性状数据,第一主成分(PC1)占总变异的 35.6%,主要由与叶片和产量相关的特征驱动。本研究关于阿拉比卡咖啡当前遗传多样性的结果无疑将为未来在基因层面增强该物种、制定未来育种计划以及提高各种品种质量的努力提供支持。

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