Development of genome-wide SSR markers through in silico mining of guava (Psidium guajava L.) genome for genetic diversity analysis and transferability studies across species and genera.

IF 4.1 2区 生物学 Q1 PLANT SCIENCES
Frontiers in Plant Science Pub Date : 2025-04-25 eCollection Date: 2025-01-01 DOI:10.3389/fpls.2025.1527866
Kritidipta Pramanik, Amit Kumar Goswami, Chavlesh Kumar, Rakesh Singh, Ratna Prabha, Shailendra Kumar Jha, Madhubala Thakre, Suneha Goswami, Kaustav Aditya, Avantika Maurya, Sagnik Chanda, Prabhanshu Mishra, Shilpa Sarkar, Ankita Kashyap
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引用次数: 0

Abstract

Guava (Psidium guajava L.) is one of the economically major fruit crops, abundant in nutrients and found growing in tropical-subtropical regions around the world. Ensuring sufficient genomic resources is crucial for crop species to enhance breeding efficiency and facilitate molecular breeding. However, genomic resources, especially microsatellite or simple sequence repeat (SSR) markers, are limited in guava. Therefore, novel genome-wide SSR markers were developed by utilizing chromosome assembly (GCA_016432845.1) of the "New Age" cultivar through GMATA, a comprehensive software. The software evaluated about 397.8 million base pairs (Mbp) of the guava genome sequence, where 87,372 SSR loci were utilized to design primers, ultimately creating 75,084 new SSR markers. After in silico analysis, a total of 75 g-SSR markers were chosen to screen 35 guava genotypes, encompassing wild Psidium species and five jamun genotypes. Of the 72 amplified novel g-SSR markers (FHTGSSRs), 53 showed polymorphism, suggesting significant genetic variation among the guava genotypes, including wild species. The 53 polymorphic g-SSR markers had an average of 3.04 alleles per locus for 35 selected guava genotypes. Besides, in this study, the mean values recorded for major allele frequency, gene diversity, observed heterozygosity, and polymorphism information content were 0.73, 0.38, 0.13, and 0.33, respectively. Among the wild Psidium species studied, the transferability of these novel g-SSR loci across different species was found to be 45.83% to 90.28%. Furthermore, 17 novel g-SSR markers were successfully amplified in all the selected Syzygium genotypes, of which only four markers could differentiate between two Syzygium species. A neighbour-joining (N-J) tree was constructed using 53 polymorphic g-SSR markers and classified 35 guava genotypes into four clades and one outlier, emphasizing the genetic uniqueness of wild Psidium species compared to cultivated genotypes. Model-based structure analysis divided the guava genotypes into two distinct genetic groups, a classification that was strongly supported by Principal Coordinate Analysis (PCoA). In addition, the AMOVA and PCoA analyses also indicated substantial genetic diversity among the selected guava genotypes, including wild Psidium species. Hence, the developed novel genome-wide genomic SSRs could enhance the availability of genomic resources and assist in the molecular breeding of guava.

番石榴(Psidium guajava L.)基因组的全基因组SSR标记开发,用于遗传多样性分析和种属间可转移性研究。
番石榴(Psidium guajava L.)是经济上主要的水果作物之一,营养丰富,生长在世界各地的热带-亚热带地区。确保充足的基因组资源是提高作物品种育种效率和促进分子育种的关键。然而,番石榴的基因组资源,特别是微卫星标记和SSR标记是有限的。因此,利用GMATA综合软件对“新时代”品种的染色体组装(GCA_016432845.1),开发了新的全基因组SSR标记。该软件评估了番石榴基因组序列约3.978亿碱基对(Mbp),其中87,372个SSR位点被用于设计引物,最终创建了75,084个新的SSR标记。经计算机分析,共选择75个g-SSR标记,筛选了35个番石榴基因型,包括野生番石榴种和5个番石榴基因型。在扩增的72个新的g-SSR标记(FHTGSSRs)中,53个存在多态性,表明番石榴基因型(包括野生种)之间存在显著的遗传变异。53个g-SSR多态性标记在35个番石榴基因型中平均每个位点有3.04个等位基因。主要等位基因频率、基因多样性、观察杂合度和多态性信息含量的平均值分别为0.73、0.38、0.13和0.33。在所研究的野生蕨类植物中,这些新的g-SSR位点在不同物种间的可转移性为45.83% ~ 90.28%。此外,在所有选择的合子基因型中成功扩增出17个新的g-SSR标记,其中只有4个标记可以区分两个合子物种。利用53个多态g-SSR标记构建了一棵邻居连接(N-J)树,将35个番石榴基因型划分为4个支系和1个离群点,强调了番石榴野生种与栽培基因型相比的遗传独特性。基于模型的结构分析将番石榴基因型划分为两个不同的遗传群,这一分类得到了主坐标分析(PCoA)的有力支持。此外,AMOVA和PCoA分析还表明,所选番石榴基因型(包括野生番石榴)之间存在大量遗传多样性。因此,建立新的番石榴全基因组ssr可以提高番石榴基因组资源的可利用性,为番石榴分子育种提供帮助。
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来源期刊
Frontiers in Plant Science
Frontiers in Plant Science PLANT SCIENCES-
CiteScore
7.30
自引率
14.30%
发文量
4844
审稿时长
14 weeks
期刊介绍: In an ever changing world, plant science is of the utmost importance for securing the future well-being of humankind. Plants provide oxygen, food, feed, fibers, and building materials. In addition, they are a diverse source of industrial and pharmaceutical chemicals. Plants are centrally important to the health of ecosystems, and their understanding is critical for learning how to manage and maintain a sustainable biosphere. Plant science is extremely interdisciplinary, reaching from agricultural science to paleobotany, and molecular physiology to ecology. It uses the latest developments in computer science, optics, molecular biology and genomics to address challenges in model systems, agricultural crops, and ecosystems. Plant science research inquires into the form, function, development, diversity, reproduction, evolution and uses of both higher and lower plants and their interactions with other organisms throughout the biosphere. Frontiers in Plant Science welcomes outstanding contributions in any field of plant science from basic to applied research, from organismal to molecular studies, from single plant analysis to studies of populations and whole ecosystems, and from molecular to biophysical to computational approaches. Frontiers in Plant Science publishes articles on the most outstanding discoveries across a wide research spectrum of Plant Science. The mission of Frontiers in Plant Science is to bring all relevant Plant Science areas together on a single platform.
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