Genome-centric metagenomics reveals insights into the evolution and metabolism of a new free-living group in Rhizobiales

被引:7
作者
Lemos, Leandro Nascimento [1 ]
de Carvalho, Fabiola Marques [1 ]
Gerber, Alexandra [1 ]
Guimaraes, Ana Paula C. [1 ]
Jonck, Celio Roberto [2 ]
Ciapina, Luciane Prioli [1 ]
Ribeiro de Vasconcelos, Ana Tereza [1 ]
机构
[1] Natl Lab Sci Comp LNCC, Bioinformat Lab, Av Getulio Vargas 333, BR-81256510 Petropolis, RJ, Brazil
[2] Leopoldo Amer Miguez de Melo Res Ctr CENPES Petro, Rio De Janeiro, RJ, Brazil
关键词
Rhizobiales; Integration of genomic public data; Aestuariivirgaceae; Evolution; Uncultivated lineages; BACTERIA; ANNOTATION; ALIGNMENT;
D O I
10.1186/s12866-021-02354-4
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background The Rhizobiales (Proteobacteria) order is an abundant and diverse group of microorganisms, being extensively studied for its lifestyle based on the association with plants, animals, and humans. New studies have demonstrated that the last common ancestor (LCA) of Rhizobiales had a free-living lifestyle, but the phylogenetic and metabolism characterization of basal lineages remains unclear. Here, we used a high-resolution phylogenomic approach to test the monophyly of the Aestuariivirgaceae family, a new taxonomic group of Rhizobiales. Furthermore, a deep metabolic investigation provided an overview of the main functional traits that can be associated with its lifestyle. We hypothesized that the presence of pathways (e.g., Glycolysis/Gluconeogenesis) and the absence of pathogenic genes would be associated with a free-living lifestyle in Aestuariivirgaceae. Results Using high-resolution phylogenomics approaches, our results revealed a clear separation of Aestuariivirgaceae into a distinct clade of other Rhizobiales family, suggesting a basal split early group and corroborate the monophyly of this group. A deep functional annotation indicated a metabolic versatility, which includes putative genes related to sugar degradation and aerobic respiration. Furthermore, many of these traits could reflect a basal metabolism and adaptations of Rhizobiales, as such the presence of Glycolysis/Gluconeogenesis pathway and the absence of pathogenicity genes, suggesting a free-living lifestyle in the Aestuariivirgaceae members. Conclusions Aestuariivirgaceae (Rhizobiales) family is a monophyletic taxon of the Rhizobiales with a free-living lifestyle and a versatile metabolism that allows these microorganisms to survive in the most diverse microbiomes, demonstrating their adaptability to living in systems with different conditions, such as extremely cold environments to tropical rivers.
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页数:10
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共 47 条
[1]   A System for Automated Bacterial (genome) Integrated Annotation - SABIA [J].
Almeida, LGP ;
Paixao, R ;
Souza, RC ;
da Costa, GC ;
Barrientos, FJA ;
dos Santos, MT ;
de Almeida, DF ;
Vasconcelos, ATR .
BIOINFORMATICS, 2004, 20 (16) :2832-2833
[2]   Ecological and evolutionary dynamics of a model facultative pathogen: Agrobacterium and crown gall disease of plants [J].
Barton, Ian S. ;
Fuqua, Clay ;
Platt, Thomas G. .
ENVIRONMENTAL MICROBIOLOGY, 2018, 20 (01) :16-29
[3]   Bacterial Communities Associated with the Lichen Symbiosis [J].
Bates, Scott T. ;
Cropsey, Garrett W. G. ;
Caporaso, J. Gregory ;
Knight, Rob ;
Fierer, Noah .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2011, 77 (04) :1309-1314
[4]   Trimmomatic: a flexible trimmer for Illumina sequence data [J].
Bolger, Anthony M. ;
Lohse, Marc ;
Usadel, Bjoern .
BIOINFORMATICS, 2014, 30 (15) :2114-2120
[5]   Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea [J].
Bowers, Robert M. ;
Kyrpides, Nikos C. ;
Stepanauskas, Ramunas ;
Harmon-Smith, Miranda ;
Doud, Devin ;
Reddy, T. B. K. ;
Schulz, Frederik ;
Jarett, Jessica ;
Rivers, Adam R. ;
Eloe-Fadrosh, Emiley A. ;
Tringe, Susannah G. ;
Ivanova, Natalia N. ;
Copeland, Alex ;
Clum, Alicia ;
Becraft, Eric D. ;
Malmstrom, Rex R. ;
Birren, Bruce ;
Podar, Mircea ;
Bork, Peer ;
Weinstock, George M. ;
Garrity, George M. ;
Dodsworth, Jeremy A. ;
Yooseph, Shibu ;
Sutton, Granger ;
Gloeckner, Frank O. ;
Gilbert, Jack A. ;
Nelson, William C. ;
Hallam, Steven J. ;
Jungbluth, Sean P. ;
Ettema, Thijs J. G. ;
Tighe, Scott ;
Konstantinidis, Konstantinos T. ;
Liu, Wen-Tso ;
Baker, Brett J. ;
Rattei, Thomas ;
Eisen, Jonathan A. ;
Hedlund, Brian ;
McMahon, Katherine D. ;
Fierer, Noah ;
Knight, Rob ;
Finn, Rob ;
Cochrane, Guy ;
Karsch-Mizrachi, Ilene ;
Tyson, Gene W. ;
Rinke, Christian ;
Lapidus, Alla ;
Meyer, Folker ;
Yilmaz, Pelin ;
Parks, Donovan H. ;
Eren, A. M. .
NATURE BIOTECHNOLOGY, 2017, 35 (08) :725-731
[6]   Comprehensive dataset of shotgun metagenomes from oxygen stratified freshwater lakes and ponds [J].
Buck, Moritz ;
Garcia, Sarahi L. ;
Fernandez, Leyden ;
Martin, Gaetan ;
Martinez-Rodriguez, Gustavo A. ;
Saarenheimo, Jatta ;
Zopfi, Jakob ;
Bertilsson, Stefan ;
Peura, Sari .
SCIENTIFIC DATA, 2021, 8 (01)
[7]   UGA is an additional glycine codon in uncultured SR1 bacteria from the human microbiota [J].
Campbell, James H. ;
O'Donoghue, Patrick ;
Campbell, Alisha G. ;
Schwientek, Patrick ;
Sczyrba, Alexander ;
Woyke, Tanja ;
Soell, Dieter ;
Podar, Mircea .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (14) :5540-5545
[8]   trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses [J].
Capella-Gutierrez, Salvador ;
Silla-Martinez, Jose M. ;
Gabaldon, Toni .
BIOINFORMATICS, 2009, 25 (15) :1972-1973
[9]   Genomic and evolutionary comparisons of diazotrophic and pathogenic bacteria of the order Rhizobiales [J].
Carvalho, Fabiola M. ;
Souza, Rangel C. ;
Barcellos, Fernando G. ;
Hungria, Mariangela ;
Vasconcelos, Ana Tereza R. .
BMC MICROBIOLOGY, 2010, 10
[10]   GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database [J].
Chaumeil, Pierre-Alain ;
Mussig, Aaron J. ;
Hugenholtz, Philip ;
Parks, Donovan H. .
BIOINFORMATICS, 2020, 36 (06) :1925-1927