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基于计算机的植物 SSR 标记的比较分析。

In silico comparative analysis of SSR markers in plants.

机构信息

Plant Genomics and Breeding Center, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, RS, Brasil.

出版信息

BMC Plant Biol. 2011 Jan 19;11:15. doi: 10.1186/1471-2229-11-15.

DOI:10.1186/1471-2229-11-15
PMID:21247422
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3037304/
Abstract

BACKGROUND

The adverse environmental conditions impose extreme limitation to growth and plant development, restricting the genetic potential and reflecting on plant yield losses. The progress obtained by classic plant breeding methods aiming at increasing abiotic stress tolerances have not been enough to cope with increasing food demands. New target genes need to be identified to reach this goal, which requires extensive studies of the related biological mechanisms. Comparative analyses in ancestral plant groups can help to elucidate yet unclear biological processes.

RESULTS

In this study, we surveyed the occurrence patterns of expressed sequence tag-derived microsatellite markers for model plants. A total of 13,133 SSR markers were discovered using the SSRLocator software in non-redundant EST databases made for all eleven species chosen for this study. The dimer motifs are more frequent in lower plant species, such as green algae and mosses, and the trimer motifs are more frequent for the majority of higher plant groups, such as monocots and dicots. With this in silico study we confirm several microsatellite plant survey results made with available bioinformatics tools.

CONCLUSIONS

The comparative studies of EST-SSR markers among all plant lineages is well suited for plant evolution studies as well as for future studies of transferability of molecular markers.

摘要

背景

不利的环境条件对植物的生长和发育造成了极大的限制,限制了其遗传潜力,导致产量损失。经典的植物育种方法在提高非生物胁迫耐受性方面取得的进展,还不足以满足不断增长的粮食需求。需要识别新的目标基因来实现这一目标,这需要对相关的生物学机制进行广泛的研究。对祖先植物类群的比较分析有助于阐明尚不清楚的生物学过程。

结果

在这项研究中,我们调查了模型植物中表达序列标签衍生微卫星标记的出现模式。使用 SSRLocator 软件在为这 11 个研究物种选择的非冗余 EST 数据库中发现了总共 13,133 个 SSR 标记。二聚体基序在藻类和苔藓等低等植物中更为常见,而三聚体基序在大多数高等植物群中更为常见,如单子叶植物和双子叶植物。通过这项计算机研究,我们证实了一些可用的生物信息学工具对植物微卫星调查结果的研究。

结论

对所有植物谱系的 EST-SSR 标记进行比较研究,非常适合于植物进化研究以及分子标记可转移性的未来研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df69/3037304/77d483ff5581/1471-2229-11-15-11.jpg
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