scholarly journals Metagenomic data of free cyanide and thiocyanate degrading bacterial communities

Data in Brief ◽  
2017 ◽  
Vol 13 ◽  
pp. 738-741 ◽  
Author(s):  
Lukhanyo Mekuto ◽  
Seteno K.O. Ntwampe ◽  
John B.N. Mudumbi ◽  
Enoch A. Akinpelu ◽  
Maxwell Mewa-Ngongang
Data in Brief ◽  
2020 ◽  
Vol 32 ◽  
pp. 106228
Author(s):  
María Custodio ◽  
Alberto Ordinola-Zapata ◽  
Ciro Espinoza ◽  
Enedia Vieyra-Peña ◽  
Richard Peñaloza ◽  
...  

2020 ◽  
Author(s):  
Karna Gowda ◽  
Derek Ping ◽  
Madhav Mani ◽  
Seppe Kuehn

The metabolic function of microbial communities emerges through a complex hierarchy of genome-encoded processes, from gene expression to interactions between diverse taxa. Therefore, a central challenge for microbial ecology is deciphering how genomic structure determines metabolic function in communities. Here we show, for the process of denitrification, that community metabolism is quantitatively predicted from the genes each member of the community possesses. Quantifying metabolite dynamics across a diverse library of bacterial isolates enables a statistical approach that reveals a sparse mapping from gene content to metabolic phenotypes. A consumer-resource model then correctly predicts community metabolism from the metabolic phenotypes of each strain. Our results enable connecting metagenomic data to metabolite dynamics, designing denitrifying communities, and discovering how genome evolution impacts metabolism.SummarySimple models quantitatively predict metabolite dynamics in denitrifying bacterial communities from gene content alone.


2015 ◽  
Vol 112 (35) ◽  
pp. 10967-10972 ◽  
Author(s):  
Jonathan W. Leff ◽  
Stuart E. Jones ◽  
Suzanne M. Prober ◽  
Albert Barberán ◽  
Elizabeth T. Borer ◽  
...  

Soil microorganisms are critical to ecosystem functioning and the maintenance of soil fertility. However, despite global increases in the inputs of nitrogen (N) and phosphorus (P) to ecosystems due to human activities, we lack a predictive understanding of how microbial communities respond to elevated nutrient inputs across environmental gradients. Here we used high-throughput sequencing of marker genes to elucidate the responses of soil fungal, archaeal, and bacterial communities using an N and P addition experiment replicated at 25 globally distributed grassland sites. We also sequenced metagenomes from a subset of the sites to determine how the functional attributes of bacterial communities change in response to elevated nutrients. Despite strong compositional differences across sites, microbial communities shifted in a consistent manner with N or P additions, and the magnitude of these shifts was related to the magnitude of plant community responses to nutrient inputs. Mycorrhizal fungi and methanogenic archaea decreased in relative abundance with nutrient additions, as did the relative abundances of oligotrophic bacterial taxa. The metagenomic data provided additional evidence for this shift in bacterial life history strategies because nutrient additions decreased the average genome sizes of the bacterial community members and elicited changes in the relative abundances of representative functional genes. Our results suggest that elevated N and P inputs lead to predictable shifts in the taxonomic and functional traits of soil microbial communities, including increases in the relative abundances of faster-growing, copiotrophic bacterial taxa, with these shifts likely to impact belowground ecosystems worldwide.


2010 ◽  
Vol 77 (3) ◽  
pp. 1101-1106 ◽  
Author(s):  
Sara Beier ◽  
Christopher M. Jones ◽  
Vani Mohit ◽  
Sara Hallin ◽  
Stefan Bertilsson

ABSTRACTPhylogeny-based analysis of chitinase and 16S rRNA genes from metagenomic data suggests that salinity is a major driver for the distribution of both chitinolytic and total bacterial communities in aquatic systems. Additionally, more acidic chitinase proteins were observed with increasing salinity. Congruent habitat separation was further observed for both genes according to latitude and proximity to the coastline. However, comparison of chitinase and 16S rRNA genes extracted from different geographic locations showed little congruence in distribution. There was no indication that dispersal limited the global distribution of either gene.


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