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Attention Score in Context
| Title |
Microbial functional genes enriched in the Xiangjiang River sediments with heavy metal contamination
|
|---|---|
| Published in |
BMC Microbiology, August 2016
|
| DOI | 10.1186/s12866-016-0800-x |
| Pubmed ID | |
| Authors |
Shiqi Jie, Mingming Li, Min Gan, Jianyu Zhu, Huaqun Yin, Xueduan Liu |
| Abstract |
Xiangjiang River (Hunan, China) has been contaminated with heavy metal for several decades by surrounding factories. However, little is known about the influence of a gradient of heavy metal contamination on the diversity, structure of microbial functional gene in sediment. To deeply understand the impact of heavy metal contamination on microbial community, a comprehensive functional gene array (GeoChip 5.0) has been used to study the functional genes structure, composition, diversity and metabolic potential of microbial community from three heavy metal polluted sites of Xiangjiang River. A total of 25595 functional genes involved in different biogeochemical processes have been detected in three sites, and different diversities and structures of microbial functional genes were observed. The analysis of gene overlapping, unique genes, and various diversity indices indicated a significant correlation between the level of heavy metal contamination and the functional diversity. Plentiful resistant genes related to various metal were detected, such as copper, arsenic, chromium and mercury. The results indicated a significantly higher abundance of genes involved in metal resistance including sulfate reduction genes (dsr) in studied site with most serious heavy metal contamination, such as cueo, mer, metc, merb, tehb and terc gene. With regard to the relationship between the environmental variables and microbial functional structure, S, Cu, Cd, Hg and Cr were the dominating factor shaping the microbial distribution pattern in three sites. This study suggests that high level of heavy metal contamination resulted in higher functional diversity and the abundance of metal resistant genes. These variation therefore significantly contribute to the resistance, resilience and stability of the microbial community subjected to the gradient of heavy metals contaminant in Xiangjiang River. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 29% |
| Student > Master | 7 | 11% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 19 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 13 | 21% |
| Agricultural and Biological Sciences | 11 | 18% |
| Immunology and Microbiology | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Social Sciences | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 21 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from BMC Microbiology
#2,701
of 3,206 outputs
Outputs of similar age
#320,155
of 364,929 outputs
Outputs of similar age from BMC Microbiology
#80
of 94 outputs
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So far Altmetric has tracked 3,206 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.