基于cp-基因组特征的肯尼亚基因库的分子足迹

Dr. Okoth Patrick Kirsteen, Muoma John, O. Dennis, Barasa Mustafa, Angienda Paul
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引用次数: 0

摘要

虽然包含生物多样性的突变过程可以通过使用质体标记的系统发育推断非常详细地揭示,但很少有研究记录它们的使用。准确的系统发育推断可以为解决一系列重要的进化问题提供一个框架,包括重建生物分子进化的背景。尽管质体标记在阐明生物学研究方面具有明显的效用,但许多重要的问题仍然存在。利用cp-DNA基因序列数据进行系统发育推断可以对植物系统发育和系统分类学产生巨大的影响。肯尼亚基因库的遗传多样性可以基于cp基因组特征进行探索。这是因为基于cp- dna的突变变化是对肯尼亚生物多样性研究中尚未探索的植物进化现有证据的重要补充工具。综上所述,这些进化变化可以激发基于分子数据的系统发育推断的现实算法的发展。系统发育重建是分子进化的核心。质体标记的比较序列分析可以在系统发育研究之外发挥作用。在进化过程中观察到的核苷酸替代模式可以反映由于自然选择而施加的功能限制。与此相一致,有可能检测到与小适应度效应相关的细微解剖变异,这些变异可以解释品种水平上的遗传多样性。肯尼亚豇豆序列信息的缺乏限制了分子标记在基于假定的质体标记[1]解剖多样性方面的强大进展。本研究旨在利用基因组学、DNA条形码和生物信息学等新技术来了解来自肯尼亚基因库的豇豆和生态型的分子多样性。研究了298份在肯尼亚保存的豇豆种质资源的原位和非原位序列,并利用分子工具对其遗传谱进行了表征和评价。有目的地对基因库材料进行采样,以开发代表基因库收集的多样性的子集。我们提出了一个广泛的研究,从肯尼亚国家基因库的豇豆加入的cp-DNA基因序列数据的遗传多样性特征。通过对陆地植物DNA条形码中常用的7个质体标记的序列比较分析和系统发育聚类分析,为研究这种维管植物的分子进化提供了新的思路。详细而深入的基因组特征极大地丰富了这一重要作物的遗传图谱,有助于重建植物进化史上突变过程的现实模型。本研究通过使用豇豆DNA条形码库来确定产生最佳物种分辨率的位点,从而解决了这一空白。此外,本研究还检验了定制DNA条形码位点对鉴定成功的有效性,并比较了位点之间和变体之间的系统发育多样性测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular Footprint of Kenya’s Gene Bank Repositories Based on the cp -Genome Signatures
While the mutational processes that subsume biological diversity can be revealed in great detail through phylogenetic inferencing using plastid markers, few studies document their use. Accurate phylogenic inference can provide a framework for addressing a host of important evolutionary questions including a context to reconstruct molecular evolution of an organism. Despite the obvious utility of plastid markers in illuminating biological enquiry, many important questions still abound. The use of cp-DNA gene sequence data for phylogenetic inference can have an enormous impact on plant phylogenetics and systematics. The repertoire of genetic diversity of Kenya’s Gene Bank repositories can be explored based on cp-genome signatures. This is because cp-DNA-based mutational changes are an important additional tool to the previous evidence available on plant evolution yet to be explored in biodiversity studies in Kenya. Taken together, these evolutionary changes can inspire development of realistic algorithms for phylogenetic inferencing based on molecular data. Phylogenetic reconstructions are at the very core of molecular evolution. Comparative sequence analyses of plastid markers can have utility beyond the study of phylogeny. The pattern of nucleotide substitution observed over evolutionary time can reflect functional constraints imposed due to natural selection. In line with this, it is possible to detect subtle anatomical variations associated with small fitness effects that can account for genetic diversity at varietal level. The lack of sequence information in Kenyan cowpea has limited the robust advancement of molecular markers use in dissecting diversity based on the putative plastid markers [1]. The present study sought to generate and upscale novel technologies such as genomics, DNA barcoding and bio-informatics in understanding molecular diversity of cowpea accessions from the Gene Bank of Kenya and ecotypes. A total of 298 sequences of cowpea germplasm conserved as in situ and ex situ in Kenya but sourced from phylogeographically diverse settings were examined and their genetic profiles were characterized and evaluated using molecular tools. The Gene Bank materials were purposefully sampled to develop subsets representative of the diversity in the genepool’s collection. We present an extensive study on characterizing the genetic diversity of cp-DNA gene sequence data for the cowpea accessions from the Nation Gene Bank of Kenya. The comparative sequence analyses and phylogenetic clustering of seven plastid markers widely used in the DNA barcoding of land plants provide insights on the molecular evolution of this vascular plant. The detailed and in-depth genome characterization herein greatly enriches the genetic profile of this important crop, which can help in reconstructing realistic models of mutational process during plant evolutionary history. This study addressed this gap by employing a DNA barcode library for cowpea to determine the loci that yield the best species resolution. As well, this study examined the efficacy of custom DNA barcode loci for identification success, and compared phylogenetic diversity measures between sites and among variants.
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