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Bacterial ”social” network in french soils : a Metagenomics insight
Nicolas Chemidlin Prévost-Bouré, Lionel Ranjard
To cite this version:
Nicolas Chemidlin Prévost-Bouré, Lionel Ranjard. Bacterial ”social” network in french soils : a
Metagenomics insight. Sfécologie-2016, International Conference of Ecological Sciences, Société
Française d’Ecologie (SFE). FRA., Oct 2016, Marseille, France. �hal-01604088�
Bacterial ”social” network in French soils: a Metagenomics insight.
Battle Karimi
1, Nicolas Chemidlin Prevost-Boure
∗†2, Sebastien Terrat
3, Samuel Dequiedt
1, Nicolas Saby
4, Walid Horrigue
1, M´ elanie Leli` evre
3, Virginie Nowak
3, Claudy
Jolivet
4, Dominique Arrouays
4, Patrick Wincker
5, Corinne Cruaud
5, Antonio Bispo
6, Pierre-Alain Maron
3, and Lionel Ranjard
31
UMR 1347 Agro´ ecologie (INRA) – Institut national de la recherche agronomique (INRA) : UMR1347 – France
2
UMR 1347 Agro´ ecologie (AgroSup Dijon) – Agrosup, Institut national de la recherche agronomique (INRA) : UMR1347, Universit´ e de Bourgogne – BP 86510, F-21000 Dijon, France
3
UMR 1347 Agro´ ecologie (INRA) – Agrosup, Institut national de la recherche agronomique (INRA) : UMR1347, Universit´ e de Bourgogne – BP 86510, F-21000 Dijon, France
4
Unit´ e INFOSOL (ORLEANS INFOSOL) – Institut national de la recherche agronomique (INRA) : UA1106 – France
5
Genoscope - Centre national de s´ equen¸ cage [Evry] (GENOSCOPE) – CEA, Genoscope – 2, rue Gaston Cr´ emieux CP5706 91057 EVRY Cedex, France
6
Agence de l’Environnement et de la Maˆıtrise de l’Energie - ADEME – Agence de l’Environnement et de la Maˆıtrise de l’Energie - ADEME – France
Abstract
High-throughput sequencing technologies evidenced that soil houses a huge microbial biodiversity. Based on these observations, it is now possible to better describe the spatial distribution of soil microbial communities, to study the ecological processes lying behind (environmental selection, dispersal limitations), and to mine the data to define the ecological attributes of soil microbial taxa. These huge datasets also offer the opportunity to study how soil microbial populations are interrelated.
The objective of this study was to design the first bacterial ”social” network in French soils, to characterize how bacterial taxa are potentially related to one-another. To do so, the bacterial community composition was characterized for the 2,200 soils of the French Soil Quality Monitoring Network using 454-pyrosequencing based on 16S rRNA genes directly amplified from soil DNA. Bacterial taxa were then identified based on SILVA database. The bacterial ”social” network was designed by means of a network analysis. First results at the phylum level demonstrate that the soil bacterial ”social” network is highly complex (density 0.585), with different relationships between bacterial phyla (positive/negative, strong/weak).
This complexity is determined both by biotic relationships between bacterial phyla and by environmental conditions. Indeed, soil bacterial ”social” networks from different ecosystem types did not have the same complexity (density gradient: forests (0.440), grasslands (0.375), croplands (0.346), vineyards (0.021)).
∗
Speaker
†
