生物信息学工具在共生和共同进化研究中的应用

R. E. Valle-Gough, B. Y. Samaniego-Gámez, Javier Eduardo Apodaca-Hernández, M. L. Arena-Ortíz
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引用次数: 1

摘要

数百万年来,多细胞生物与周围的微生物共存和共同进化,在一种几乎共生的关系中形成了一个被称为全息生物的复杂实体。由于使用了基于培养的技术,这些微生物群落的组成和功能在许多年里被限制在仅仅一小部分。基于分子的技术的出现使得以无培养的方式鉴定未培养的生物体成为可能。近年来,新一代测序技术的发展使微生物群落的高通量研究成为可能,从而可以通过宏基因组学对给定环境、组织或宿主中未培养的微生物进行鉴定和分类。下一代测序技术已被用于微生物组合的功能研究,并能够通过亚转录组学确定微生物在生物地球化学循环、致病过程、代谢和发育中的作用。综上所述,下一代基于测序的研究表明,在不同的宿主和环境中,存在一个复杂的代谢网络,其中包括微生物群落。本章将重点介绍不同的可用生物信息学工具,这些工具适用于研究给定样本中的共生和共同进化过程。
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The Use of Bioinformatic Tools in Symbiosis and Co-Evolution Studies
Through millions of years, the multicellular organisms have coexisted and coevolved with the surrounding microorganisms, in an almost symbiotic relationship forming a complex entity known as holobiont. The composition and functions of these microbial communities were limited during many years to only a mere fraction, due to the use of culture-based techniques. The advent of molecular-based techniques allowed the identification of uncultured organisms in a culture-free manner. In recent years, the development of next generation sequencing techniques have allowed the high-throughput study of microbial communities allowing the identification and classification of otherwise uncultured microorganisms in a given environment, tissue or host through metagenomics. The next generation sequencing techniques have been used in the functional study of microbial assemblages and were able to identify the role of the microorganisms in biogeochemical cycles, pathogenic processes, metabolism and development, through metatranscriptomics. Taken together, the next generation sequencing based-studies have shown the existence of a complex metabolic network in different hosts and environments, with the microbial communities. This chapter will focus in different available bioinformatic tools that are suitable to study symbiosis and coevolution processes in a given sample.
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Introductory Chapter: Metagenomics and Metagenomic Approaches The Use of Bioinformatic Tools in Symbiosis and Co-Evolution Studies Soil Metagenomics: Concepts and Applications High-Throughput Sequencing and Metagenomic Data Analysis Metagenomics-Based Phylogeny and Phylogenomic
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