Two‐role model of an interaction network of free‐living γ‐proteobacteria from an oligotrophic environment

Wiley - Tập 16 Số 5 - Trang 1366-1377 - 2014
Eneas Aguirre‐von‐Wobeser1,2, Gloria Soberón‐Chávez1, Luis E. Eguiarte2, Gabriel Yaxal Ponce‐Soto1,2, Mirna Vázquez‐Rosas‐Landa2, Valeria Souza2
1Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico, Mexico
2Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico, Mexico

Tóm tắt

SummaryAntagonistic interactions are frequently observed among bacteria in the environment and result in complex networks, which could promote co‐existence, and therefore promote biodiversity. We analysed interactions of aquatic bacteria isolated by their ability to grow in Pseudomonas isolation agar from Churince, Cuatro Ciénegas, Mexico. In the resulting network, highly antagonistic and highly sensitive strains could be distinguished, forming a largely hierarchical structure. Most of the highly antagonistic strains belonged to the genus Pseudomonas. The network was sender‐determined, which means that the antagonist strains had a larger influence on its structure than the sensitive ones. Very few interactions were necessary to connect all strains, implying that the network was ‘small world’. The network was highly nested, having a core of highly interacting strains, with which the less antagonistic or highly sensitive interact. A probabilistic model was built, which captured most features of the network. Biological interpretation of the model implied a state in which many different antagonistic mechanisms were present, and most strains were resistant to them. Our work shows that strains of Pseudomonas from the water column at Cuatro Ciénegas have the potential to interact antagonistically with many closely related strains and that these interactions are usually not reciprocal.

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Tài liệu tham khảo

10.1093/nar/25.22.4692

10.1073/pnas.200327197

10.1126/science.286.5439.509

10.1073/pnas.1633576100

10.1128/jb.62.3.293-300.1951

10.1128/AEM.14.4.649-653.1966

10.1111/j.1467-839X.2007.00241.x

10.1007/s10482-010-9490-9

10.1093/nar/gkn879

10.1126/science.1219385

10.1098/rspb.2003.2338

10.1073/pnas.012399899

10.1111/j.1574-6941.2006.00060.x

10.1111/j.1574-6941.2008.00496.x

10.1098/rspb.2001.1670

10.1007/978-3-540-36604-1_6

10.1038/nature00823

10.1007/s00248-007-9320-4

10.1073/pnas.022641999

10.1111/j.1574-6941.2007.00300.x

10.1111/j.1574-6941.2012.01457.x

10.1098/rspb.2004.2676

10.1016/S0300-9084(02)01422-0

Miller M.A. Pfeiffer W. andSchwartz T.(2010)Creating the CIPRES Science Gateway for inference of large phylogenetic tree. InProceedings of the Gateway Computing Environments Workshop (GCE) New Orleans LA USA. Anonymous (ed.).New York NY USA:Institute of Electrical and Electronics Engineers (IEEE) pp.1–8.

10.4061/2011/781642

10.1103/PhysRevLett.89.208701

10.1137/S003614450342480

10.1006/jtbi.1998.0838

10.1038/ismej.2012.119

10.1111/j.1574-6941.2011.01171.x

10.1016/j.tree.2005.04.004

10.1111/j.1462-2920.2012.02784.x

10.1111/j.1365-2699.2006.01444.x

10.1155/2012/201389

10.1111/j.1462-2920.2009.02027.x

10.1038/nrmicro1917

10.1089/ast.2011.0768

10.1093/bioinformatics/btl446

10.1038/35065725

10.1016/j.femsle.2004.11.013

10.1371/journal.pbio.1001184

10.1128/AEM.00062-07

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Wiley

Tập 16 Số 5

1366-1377

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