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

Author:

Khemira Habib1,Mahdhi Mosbah12,Afzal Muhammad3,Oteef Mohammed D.Y.4,Tounekti Taieb5,AL-Faifi Zarraq6,Alsolami Wail6

Affiliation:

1. Centre for Environmental Research and Studies, Jazan University, Jazan, Saudi Arabia

2. Laboratory of Biodiversity and Valorization of Bioresources in Arid Zones, Faculty of Sciences of Gabes, University of Gabes, Gabes, Tunisia

3. Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Chemistry, College of Science, Jazan University, Jazan, Saudi Arabia

5. Laboratory of Process Engineering & Industrial Systems (LR11ES54), National Engineering School of Gabes, University of Gabes, Gabes, Tunisia

6. Department of Biology, College of Science, Jazan University, Jazan, Saudi Arabia

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 Coffea arabica genotypes into four different groups, with three genotypes (KSA31, KSA38, and KSA46) found to be the most divergent genotypes standing alone in the cluster and remained apart during the analysis. The study demonstrates the presence of considerable diversity among coffee populations in Saudi Arabia. Furthermore, it also shows that DNA barcoding is an effective technique for identifying local coffee genotypes, with potential applications in coffee conservation and breeding efforts.

Funder

The Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference62 articles.

1. Coffee arabica in Saudi Arabia: an overview;Al-Asmari;International Journal of Pharmaceutical and Phytopharmacological Research,2020

2. Assessment of genetic diversity of local coffee populations in Southwestern Saudi Arabia using SRAP markers;Al-Ghamedi;Agronomy,2023

3. Level of knowledge and its application by coffee farmers in the Udeen area, Governorate of Ibb—Republic of Yemen;Al-Zaidi;The Journal of Animal and Plant Sciences,2016

4. Phylogeny and expression profiling of CAD and CAD-like genes in hybrid Populus (P. deltoides×P. nigra): evidence from herbivore damage for subfunctionalization and functional divergence;Barakat;BMC Plant Biology,2010

5. Strict conservation of the ITS regions of the ribosomal RNA genes in Northern snakehead (Channa argus);Chen;Research Square,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3