Literature DB >> 22821465

Reverse Ecology: from systems to environments and back.

Roie Levy1, Elhanan Borenstein.   

Abstract

The structure of complex biological systems reflects not only their function but also the environments in which they evolved and are adapted to. Reverse Ecology-an emerging new frontier in Evolutionary Systems Biology-aims to extract this information and to obtain novel insights into an organism's ecology. The Reverse Ecology framework facilitates the translation of high-throughput genomic data into large-scale ecological data, and has the potential to transform ecology into a high-throughput field. In this chapter, we describe some of the pioneering work in Reverse Ecology, demonstrating how system-level analysis of complex biological networks can be used to predict the natural habitats of poorly characterized microbial species, their interactions with other species, and universal patterns governing the adaptation of organisms to their environments. We further present several studies that applied Reverse Ecology to elucidate various aspects of microbial ecology, and lay out exciting future directions and potential future applications in biotechnology, biomedicine, and ecological engineering.

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Mesh:

Year:  2012        PMID: 22821465     DOI: 10.1007/978-1-4614-3567-9_15

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  25 in total

Review 1.  Microbial Speciation.

Authors:  B Jesse Shapiro; Martin F Polz
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-09       Impact factor: 10.005

2.  Metabolic modeling of species interaction in the human microbiome elucidates community-level assembly rules.

Authors:  Roie Levy; Elhanan Borenstein
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-15       Impact factor: 11.205

3.  Species-specific transcriptomic network inference of interspecies interactions.

Authors:  Ryan S McClure; Christopher C Overall; Eric A Hill; Hyun-Seob Song; Moiz Charania; Hans C Bernstein; Jason E McDermott; Alexander S Beliaev
Journal:  ISME J       Date:  2018-05-24       Impact factor: 10.302

Review 4.  Ordering microbial diversity into ecologically and genetically cohesive units.

Authors:  B Jesse Shapiro; Martin F Polz
Journal:  Trends Microbiol       Date:  2014-03-13       Impact factor: 17.079

5.  Biotic interactions and temporal dynamics of the human gastrointestinal microbiota.

Authors:  Pål Trosvik; Eric Jacques de Muinck; Nils Christian Stenseth
Journal:  ISME J       Date:  2014-08-22       Impact factor: 10.302

6.  Metagenomic systems biology and metabolic modeling of the human microbiome: from species composition to community assembly rules.

Authors:  Roie Levy; Elhanan Borenstein
Journal:  Gut Microbes       Date:  2014-02-20

7.  Are multi-omics enough?

Authors:  Cristina Vilanova; Manuel Porcar
Journal:  Nat Microbiol       Date:  2016-07-26       Impact factor: 17.745

Review 8.  Towards a predictive systems-level model of the human microbiome: progress, challenges, and opportunities.

Authors:  Sharon Greenblum; Hsuan-Chao Chiu; Roie Levy; Rogan Carr; Elhanan Borenstein
Journal:  Curr Opin Biotechnol       Date:  2013-04-23       Impact factor: 9.740

9.  Inter-cluster competition and resource partitioning may govern the ecology of Frankia.

Authors:  I Sarkar; G Sen; S Bhattacharyya; M Gtari; A Sen
Journal:  Arch Microbiol       Date:  2022-05-16       Impact factor: 2.552

Review 10.  Mapping the inner workings of the microbiome: genomic- and metagenomic-based study of metabolism and metabolic interactions in the human microbiome.

Authors:  Ohad Manor; Roie Levy; Elhanan Borenstein
Journal:  Cell Metab       Date:  2014-08-28       Impact factor: 27.287

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