GeoChip-based analysis of the functional gene diversity and metabolic potential of soil microbial communities of mangroves

2012 ◽  
Vol 97 (15) ◽  
pp. 7035-7048 ◽  
Author(s):  
Shijie Bai ◽  
Jiangwei Li ◽  
Zhili He ◽  
Joy D. Van Nostrand ◽  
Yun Tian ◽  
...  
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 5 (3) ◽  
pp. 403-413 ◽  
Author(s):  
Yuting Liang ◽  
Joy D Van Nostrand ◽  
Ye Deng ◽  
Zhili He ◽  
Liyou Wu ◽  
...  

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.


Chemosphere ◽  
2009 ◽  
Vol 75 (2) ◽  
pp. 193-199 ◽  
Author(s):  
Yuting Liang ◽  
Joy D. Van Nostrand ◽  
Jian Wang ◽  
Xu Zhang ◽  
Jizhong Zhou ◽  
...  

2012 ◽  
Vol 79 (4) ◽  
pp. 1284-1292 ◽  
Author(s):  
Kai Xue ◽  
Liyou Wu ◽  
Ye Deng ◽  
Zhili He ◽  
Joy Van Nostrand ◽  
...  

ABSTRACTVarious agriculture management practices may have distinct influences on soil microbial communities and their ecological functions. In this study, we utilized GeoChip, a high-throughput microarray-based technique containing approximately 28,000 probes for genes involved in nitrogen (N)/carbon (C)/sulfur (S)/phosphorus (P) cycles and other processes, to evaluate the potential functions of soil microbial communities under conventional (CT), low-input (LI), and organic (ORG) management systems at an agricultural research site in Michigan. Compared to CT, a high diversity of functional genes was observed in LI. The functional gene diversity in ORG did not differ significantly from that of either CT or LI. Abundances of genes encoding enzymes involved in C/N/P/S cycles were generally lower in CT than in LI or ORG, with the exceptions of genes in pathways for lignin degradation, methane generation/oxidation, and assimilatory N reduction, which all remained unchanged. Canonical correlation analysis showed that selected soil (bulk density, pH, cation exchange capacity, total C, C/N ratio, NO3−, NH4+, available phosphorus content, and available potassium content) and crop (seed and whole biomass) variables could explain 69.5% of the variation of soil microbial community composition. Also, significant correlations were observed between NO3−concentration and denitrification genes, NH4+concentration and ammonification genes, and N2O flux and denitrification genes, indicating a close linkage between soil N availability or process and associated functional genes.


2010 ◽  
Vol 76 (21) ◽  
pp. 7161-7170 ◽  
Author(s):  
Ken C. McGrath ◽  
Rhiannon Mondav ◽  
Regina Sintrajaya ◽  
Bill Slattery ◽  
Susanne Schmidt ◽  
...  

ABSTRACT Functional attributes of microbial communities are difficult to study, and most current techniques rely on DNA- and rRNA-based profiling of taxa and genes, including microarrays containing sequences of known microorganisms. To quantify gene expression in environmental samples in a culture-independent manner, we constructed an environmental functional gene microarray (E-FGA) consisting of 13,056 mRNA-enriched anonymous microbial clones from diverse microbial communities to profile microbial gene transcripts. A new normalization method using internal spot standards was devised to overcome spotting and hybridization bias, enabling direct comparisons of microarrays. To evaluate potential applications of this metatranscriptomic approach for studying microbes in environmental samples, we tested the E-FGA by profiling the microbial activity of agricultural soils with a low or high flux of N2O. A total of 109 genes displayed expression that differed significantly between soils with low and high N2O emissions. We conclude that mRNA-based approaches such as the one presented here may complement existing techniques for assessing functional attributes of microbial communities.


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