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一种利用下一代测序数据开发微卫星标记的流程

A Pipeline for the Development of Microsatellite Markers using Next Generation Sequencing Data.

作者信息

Antunes Adriana Maria, Nunes Stival Júlio Gabriel, Targueta Cíntia Pelegrineti, de Campos Telles Mariana Pires, Soares Thannya Nascimentos

机构信息

Laboratório de Genética & Biodiversidade, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, Brasil.

Programa de Pós Graduação em Genética e Melhoramento de Plantas, Escola de Agronomia, Universidade Federal de Goias, Goiânia, Goiás, Brasil.

出版信息

Curr Genomics. 2022 Jul 5;23(3):175-181. doi: 10.2174/1389202923666220428101350.

DOI:10.2174/1389202923666220428101350
PMID:36777003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9878831/
Abstract

Also known as Simple Sequence Repetitions (SSRs), microsatellites are profoundly informative molecular markers and powerful tools in genetics and ecology studies on plants. This research presents a workflow for developing microsatellite markers using genome skimming. The pipeline was proposed in several stages that must be performed sequentially: obtaining DNA sequences, identifying microsatellite regions, designing primers, and selecting candidate microsatellite regions to develop the markers. Our pipeline efficiency was analyzed using Illumina sequencing data from the non-model tree species Vog. The pipeline revealed 4,382 microsatellite regions and drew 7,411 pairs of primers for . However, a much larger number of microsatellite regions with the potential to develop markers were discovered from our pipeline. We selected 50 microsatellite regions with high potential for developing markers and organized 29 microsatellite regions in sets for multiplex PCR. The proposed pipeline is a powerful tool for fast and efficient development of microsatellite markers on a large scale in several species, especially nonmodel plant species.

摘要

微卫星也被称为简单序列重复(SSRs),是植物遗传学和生态学研究中极具信息价值的分子标记和强大工具。本研究提出了一种利用基因组浅层测序开发微卫星标记的工作流程。该流程分几个阶段提出,必须按顺序执行:获取DNA序列、识别微卫星区域、设计引物以及选择候选微卫星区域来开发标记。我们使用来自非模式树种Vog的Illumina测序数据对该流程的效率进行了分析。该流程揭示了4382个微卫星区域,并为其设计了7411对引物。然而,从我们的流程中发现了大量具有开发标记潜力的微卫星区域。我们选择了50个具有高开发标记潜力的微卫星区域,并将29个微卫星区域组合用于多重PCR。所提出的流程是在多个物种,尤其是非模式植物物种中快速高效地大规模开发微卫星标记的强大工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e101/9878831/9531034e7c40/CG-23-175_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e101/9878831/b03178dcbe99/CG-23-175_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e101/9878831/9531034e7c40/CG-23-175_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e101/9878831/b03178dcbe99/CG-23-175_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e101/9878831/9531034e7c40/CG-23-175_F2.jpg

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本文引用的文献

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Development of novel g-SSR markers in guava (Psidium guajava L.) cv. Allahabad Safeda and their application in genetic diversity, population structure and cross species transferability studies.开发番石榴(Psidium guajava L.) cv. Allahabad Safeda 的新型 g-SSR 标记及其在遗传多样性、群体结构和跨物种可转移性研究中的应用。
PLoS One. 2020 Aug 17;15(8):e0237538. doi: 10.1371/journal.pone.0237538. eCollection 2020.
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Fast sequence-based microsatellite genotyping development workflow.基于快速序列的微卫星基因分型开发工作流程。
PeerJ. 2020 May 4;8:e9085. doi: 10.7717/peerj.9085. eCollection 2020.
3
SSR marker development and intraspecific genetic divergence exploration of Chrysanthemum indicum based on transcriptome analysis.
基于转录组分析的菊花 SSR 标记开发与种内遗传分化研究。
BMC Genomics. 2018 Apr 25;19(1):291. doi: 10.1186/s12864-018-4702-1.
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Mining and Development of Novel SSR Markers Using Next Generation Sequencing (NGS) Data in Plants.利用新一代测序(NGS)数据在植物中挖掘和开发新型 SSR 标记。
Molecules. 2018 Feb 13;23(2):399. doi: 10.3390/molecules23020399.
5
Microsatellite marker development by partial sequencing of the sour passion fruit genome (Passiflora edulis Sims).通过酸西番莲基因组(西番莲西姆斯)的部分测序开发微卫星标记。
BMC Genomics. 2017 Jul 21;18(1):549. doi: 10.1186/s12864-017-3881-5.
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FastPCR: An in silico tool for fast primer and probe design and advanced sequence analysis.FastPCR:一种用于快速引物和探针设计及高级序列分析的电子工具。
Genomics. 2017 Jul;109(3-4):312-319. doi: 10.1016/j.ygeno.2017.05.005. Epub 2017 May 12.
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Discovery and characterization of new microsatellite loci in Dipteryx alata Vogel (Fabaceae) using next-generation sequencing data.利用新一代测序数据发现并鉴定翼瓣香豆(豆科)中的新微卫星位点
Genet Mol Res. 2017 Apr 28;16(2):gmr-16-02-gmr.16029639. doi: 10.4238/gmr16029639.
8
Genome-wide characterization of microsatellites in Triticeae species: abundance, distribution and evolution.小麦族物种中小卫星的全基因组特征:丰度、分布和进化。
Sci Rep. 2016 Aug 26;6:32224. doi: 10.1038/srep32224.
9
Microsatellite markers: what they mean and why they are so useful.微卫星标记:它们的含义以及为何如此有用。
Genet Mol Biol. 2016 Jul-Sep;39(3):312-28. doi: 10.1590/1678-4685-GMB-2016-0027. Epub 2016 Aug 4.
10
Identification and Characterization of Microsatellite Loci in Maqui (Aristotelia chilensis [Molina] Stunz) Using Next-Generation Sequencing (NGS).利用下一代测序(NGS)技术对智利酒果(Aristotelia chilensis [Molina] Stunz)微卫星位点的鉴定与特征分析
PLoS One. 2016 Jul 26;11(7):e0159825. doi: 10.1371/journal.pone.0159825. eCollection 2016.