scholarly journals Metagenomic Analysis of The Effects of Salinity On Microbial Diversity and Functional Gene Diversity in Kongsfjorden Estuary

Author(s):  
Lidong Lin ◽  
Nengfei Wang ◽  
Wenbing Han ◽  
Botao Zhang ◽  
Jiaye Zang ◽  
...  

Abstract Due to the inflow of meltwater from the Midre Lovénbreen glacier upstream of Kongsfjorden, the salinity of Kongsfjorden increases from the estuary to the interior of the fjord. Our goal was to determine which bacterial taxa and metabolism-related gene abundance were affected by changes in salinity, and whether salinity is correlated with genes related to nitrogen and sulfur cycling in fjord ecosystem using metagenomic analysis. Our data indicate that changes in salinity may affect some bacterial taxa, such as the relative abundance of Alphaproteobacteria and Deltaproteobacteria is higher at high salinity sites, while the relative abundance of Gammaproteobacteria and Betaproteobacteria is more dominant at low salinity sites. In addition, the relative abundance of some bacteria at the high and low salinity sites was different at the family level. For example, Rhodobacteraceae, Pseudoalteromonadaceae, Flavobacteriaceae, Vibrionaceae at the high salinity site Colwelliaceae, Chromatiaceae and Alteromonadaceae at the low salinity site are affected by salinity. In terms of functional gene diversity, our study proved that salinity could affect the relative abundance of related genes by affecting the metabolic mechanism of microorganisms. In addition to salinity, functional attributes of microorganisms themselves were also important factors affecting the relative abundance of metabolism-related genes. In addition, salinity has a certain effect on the relative abundance of genes related to nitrogen and sulfur cycling.

CATENA ◽  
2021 ◽  
Vol 199 ◽  
pp. 105099
Author(s):  
Dorsaf Kerfahi ◽  
Ke Dong ◽  
Ying Yang ◽  
Hyoki Kim ◽  
Koichi Takahashi ◽  
...  

Marine OMICS ◽  
2016 ◽  
pp. 165-186 ◽  
Author(s):  
Sergey B. Zotchev ◽  
Olga N. Sekurova ◽  
D. İpek Kurtböke

2015 ◽  
Vol 16 (6) ◽  
pp. 1455-1464 ◽  
Author(s):  
Melissa L. Evans ◽  
Samuel J. Shry ◽  
Dave P. Jacobson ◽  
Nicholas M. Sard ◽  
Kathleen G. O’Malley

2014 ◽  
Vol 23 (12) ◽  
pp. 2988-2999 ◽  
Author(s):  
Fabiana S. Paula ◽  
Jorge L. M. Rodrigues ◽  
Jizhong Zhou ◽  
Liyou Wu ◽  
Rebecca C. Mueller ◽  
...  

2010 ◽  
Vol 77 (3) ◽  
pp. 991-999 ◽  
Author(s):  
Jianping Xie ◽  
Zhili He ◽  
Xinxing Liu ◽  
Xueduan Liu ◽  
Joy D. Van Nostrand ◽  
...  

ABSTRACTAcid mine drainage (AMD) is an extreme environment, usually with low pH and high concentrations of metals. Although the phylogenetic diversity of AMD microbial communities has been examined extensively, little is known about their functional gene diversity and metabolic potential. In this study, a comprehensive functional gene array (GeoChip 2.0) was used to analyze the functional diversity, composition, structure, and metabolic potential of AMD microbial communities from three copper mines in China. GeoChip data indicated that these microbial communities were functionally diverse as measured by the number of genes detected, gene overlapping, unique genes, and various diversity indices. Almost all key functional gene categories targeted by GeoChip 2.0 were detected in the AMD microbial communities, including carbon fixation, carbon degradation, methane generation, nitrogen fixation, nitrification, denitrification, ammonification, nitrogen reduction, sulfur metabolism, metal resistance, and organic contaminant degradation, which suggested that the functional gene diversity was higher than was previously thought. Mantel test results indicated that AMD microbial communities are shaped largely by surrounding environmental factors (e.g., S, Mg, and Cu). Functional genes (e.g.,narGandnorB) and several key functional processes (e.g., methane generation, ammonification, denitrification, sulfite reduction, and organic contaminant degradation) were significantly (P< 0.10) correlated with environmental variables. This study presents an overview of functional gene diversity and the structure of AMD microbial communities and also provides insights into our understanding of metabolic potential in AMD ecosystems.


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