Suppr超能文献

端粒重复片段长度多态性(T-RFLP)的技术细节和故障。

Technicalities and Glitches of Terminal Restriction Fragment Length Polymorphism (T-RFLP).

机构信息

Microbial Culture Collection, National Centre for Cell Science, NCCS Complex, Ganeshkhind, Pune, 411007 Maharashtra India.

出版信息

Indian J Microbiol. 2014 Sep;54(3):255-61. doi: 10.1007/s12088-014-0461-0. Epub 2014 Mar 9.

Abstract

Terminal restriction fragment length polymorphism (T-RFLP) is a rapid, robust, inexpensive and simple tool for microbial community profiling. Methods used for DNA extraction, PCR amplification and digestion of amplified products have a considerable impact on the results of T-RFLP. Pitfalls of the method skew the similarity analysis and compromise its high throughput ability. Despite a high throughput method of data generation, data analysis is still in its infancy and needs more attention. Current article highlights the limitations of the methods used for data generation and analysis. It also provides an overview of the recent methodological developments in T-RFLP which will assist the readers in obtaining real and authentic profiles of the microbial communities under consideration while eluding the inherent biases and technical difficulties.

摘要

末端限制性片段长度多态性(T-RFLP)是一种快速、强大、经济且简单的微生物群落分析工具。用于 DNA 提取、PCR 扩增和扩增产物消化的方法对 T-RFLP 的结果有很大的影响。该方法的缺陷会扭曲相似性分析,并影响其高通量能力。尽管数据生成方法具有高通量,但数据分析仍处于起步阶段,需要更多的关注。本文重点介绍了用于数据生成和分析的方法的局限性。它还概述了 T-RFLP 中最近的方法学发展,这将帮助读者在避免固有偏差和技术困难的同时,获得所研究微生物群落的真实和真实的图谱。

相似文献

8
Advances in monitoring soil microbial community dynamic and function.土壤微生物群落动态和功能监测的进展。
J Appl Genet. 2020 May;61(2):249-263. doi: 10.1007/s13353-020-00549-5. Epub 2020 Feb 15.

引用本文的文献

1
Research progress in isolation and identification of rumen probiotics.瘤胃益生菌的分离鉴定研究进展。
Front Cell Infect Microbiol. 2024 May 21;14:1411482. doi: 10.3389/fcimb.2024.1411482. eCollection 2024.
5
Experimental and computational approaches to unravel microbial community assembly.解析微生物群落组装的实验与计算方法
Comput Struct Biotechnol J. 2020 Dec 3;18:4071-4081. doi: 10.1016/j.csbj.2020.11.031. eCollection 2020.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验