No Cover Image

Journal article 105 views

A mechanistic framework for complex microbe-host symbioses

Gui Araujo, José M. Montoya, Torsten Thomas, Nicole S. Webster, Miguel Lurgi Rivera Orcid Logo

Trends in Microbiology

Swansea University Author: Miguel Lurgi Rivera Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1016/j.tim.2024.08.002

Abstract

As in all complex ecosystems, multispecies symbiotic associations are shaped by ecological and evolutionary forces acting at several temporal, spatial, and organisational scales.Microbiome assembly inside plant and animal hosts is shaped by, and in turn shapes, the traits of both microbes and hosts....

Full description

Published in: Trends in Microbiology
ISSN: 0966-842X 0966-842X
Published: Elsevier BV 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67601
first_indexed 2024-09-06T09:34:58Z
last_indexed 2024-11-25T14:20:28Z
id cronfa67601
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-10-25T13:04:53.2070328</datestamp><bib-version>v2</bib-version><id>67601</id><entry>2024-09-06</entry><title>A mechanistic framework for complex microbe-host symbioses</title><swanseaauthors><author><sid>947df89d116a1ab75515e421089e0443</sid><ORCID>0000-0001-9891-895X</ORCID><firstname>Miguel</firstname><surname>Lurgi Rivera</surname><name>Miguel Lurgi Rivera</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-09-06</date><deptcode>BGPS</deptcode><abstract>As in all complex ecosystems, multispecies symbiotic associations are shaped by ecological and evolutionary forces acting at several temporal, spatial, and organisational scales.Microbiome assembly inside plant and animal hosts is shaped by, and in turn shapes, the traits of both microbes and hosts.Theoretical frameworks combining ecological and evolutionary mechanisms are essential to provide a better understanding of the assembly of complex symbiotic microbial communities.The generation of testable predictions from theory relies on the identification of key mechanisms playing a fundamental role on the questions and patterns addressed. In microbiome research this amounts to processes giving rise to their complex organisation.Methods for matching empirical patterns to model outcomes through model selection and data analysis can reveal potential sets of mechanisms and conditions capable of generating observed patterns of organisation in complex microbiomes.</abstract><type>Journal Article</type><journal>Trends in Microbiology</journal><volume>0</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0966-842X</issnPrint><issnElectronic>0966-842X</issnElectronic><keywords>eco-evolution; metacommunity; population dynamics; complex network; smodel selection; symbiosis</keywords><publishedDay>5</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-09-05</publishedDate><doi>10.1016/j.tim.2024.08.002</doi><url/><notes>Review Article</notes><college>COLLEGE NANME</college><department>Biosciences Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>G.A. and M.L. are supported by the Leverhulme Trust through Research Project Grant # RPG-2022-114. J.M.M. is partially supported by the French ANR through LabEx TULIP (ANR-10-LABX-41).</funders><projectreference/><lastEdited>2024-10-25T13:04:53.2070328</lastEdited><Created>2024-09-06T10:25:07.9838498</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Gui</firstname><surname>Araujo</surname><order>1</order></author><author><firstname>Jos&#xE9; M.</firstname><surname>Montoya</surname><order>2</order></author><author><firstname>Torsten</firstname><surname>Thomas</surname><order>3</order></author><author><firstname>Nicole S.</firstname><surname>Webster</surname><order>4</order></author><author><firstname>Miguel</firstname><surname>Lurgi Rivera</surname><orcid>0000-0001-9891-895X</orcid><order>5</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2024-10-25T13:04:53.2070328 v2 67601 2024-09-06 A mechanistic framework for complex microbe-host symbioses 947df89d116a1ab75515e421089e0443 0000-0001-9891-895X Miguel Lurgi Rivera Miguel Lurgi Rivera true false 2024-09-06 BGPS As in all complex ecosystems, multispecies symbiotic associations are shaped by ecological and evolutionary forces acting at several temporal, spatial, and organisational scales.Microbiome assembly inside plant and animal hosts is shaped by, and in turn shapes, the traits of both microbes and hosts.Theoretical frameworks combining ecological and evolutionary mechanisms are essential to provide a better understanding of the assembly of complex symbiotic microbial communities.The generation of testable predictions from theory relies on the identification of key mechanisms playing a fundamental role on the questions and patterns addressed. In microbiome research this amounts to processes giving rise to their complex organisation.Methods for matching empirical patterns to model outcomes through model selection and data analysis can reveal potential sets of mechanisms and conditions capable of generating observed patterns of organisation in complex microbiomes. Journal Article Trends in Microbiology 0 Elsevier BV 0966-842X 0966-842X eco-evolution; metacommunity; population dynamics; complex network; smodel selection; symbiosis 5 9 2024 2024-09-05 10.1016/j.tim.2024.08.002 Review Article COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University SU Library paid the OA fee (TA Institutional Deal) G.A. and M.L. are supported by the Leverhulme Trust through Research Project Grant # RPG-2022-114. J.M.M. is partially supported by the French ANR through LabEx TULIP (ANR-10-LABX-41). 2024-10-25T13:04:53.2070328 2024-09-06T10:25:07.9838498 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Gui Araujo 1 José M. Montoya 2 Torsten Thomas 3 Nicole S. Webster 4 Miguel Lurgi Rivera 0000-0001-9891-895X 5
title A mechanistic framework for complex microbe-host symbioses
spellingShingle A mechanistic framework for complex microbe-host symbioses
Miguel Lurgi Rivera
title_short A mechanistic framework for complex microbe-host symbioses
title_full A mechanistic framework for complex microbe-host symbioses
title_fullStr A mechanistic framework for complex microbe-host symbioses
title_full_unstemmed A mechanistic framework for complex microbe-host symbioses
title_sort A mechanistic framework for complex microbe-host symbioses
author_id_str_mv 947df89d116a1ab75515e421089e0443
author_id_fullname_str_mv 947df89d116a1ab75515e421089e0443_***_Miguel Lurgi Rivera
author Miguel Lurgi Rivera
author2 Gui Araujo
José M. Montoya
Torsten Thomas
Nicole S. Webster
Miguel Lurgi Rivera
format Journal article
container_title Trends in Microbiology
container_volume 0
publishDate 2024
institution Swansea University
issn 0966-842X
0966-842X
doi_str_mv 10.1016/j.tim.2024.08.002
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 0
active_str 0
description As in all complex ecosystems, multispecies symbiotic associations are shaped by ecological and evolutionary forces acting at several temporal, spatial, and organisational scales.Microbiome assembly inside plant and animal hosts is shaped by, and in turn shapes, the traits of both microbes and hosts.Theoretical frameworks combining ecological and evolutionary mechanisms are essential to provide a better understanding of the assembly of complex symbiotic microbial communities.The generation of testable predictions from theory relies on the identification of key mechanisms playing a fundamental role on the questions and patterns addressed. In microbiome research this amounts to processes giving rise to their complex organisation.Methods for matching empirical patterns to model outcomes through model selection and data analysis can reveal potential sets of mechanisms and conditions capable of generating observed patterns of organisation in complex microbiomes.
published_date 2024-09-05T08:34:11Z
_version_ 1821393762527477760
score 11.047501

Similar Items