Bibliographic Details
| Title: |
Metagenomic insights into the abundance and composition of resistance genes in aquatic environments: Influence of stratification and geography |
| Authors: |
Yuyi Yang, Zan Li, Wenjuan Song, Linna Du, Chen Ye, Bo Zhao, Wenzhi Liu, Danli Deng, Yongtai Pan, Hui Lin, Xinhua Cao |
| Source: |
Environment International, Vol 127, Iss , Pp 371-380 (2019) |
| Publisher Information: |
Elsevier, 2019. |
| Publication Year: |
2019 |
| Collection: |
LCC:Environmental sciences |
| Subject Terms: |
Environmental sciences, GE1-350 |
| More Details: |
A global survey was performed with 122 aquatic metagenomic DNA datasets (92 lake water and 30 seawater) obtained from the Sequence Read Archive (SRA). Antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) were derived from the dataset sequences via bioinformatic analysis. The relative abundances of ARGs and MRGs in lake samples were in the ranges ND (not detected)–1.34 × 100 and 1.22 × 10−3–1.98 × 10−1 copies per 16S rRNA, which were higher than those in seawater samples. Among ARGs, multidrug resistance genes and bacitracin resistance genes had high relative abundances in both lake and sea water samples. Multi-metal resistance genes, mercury resistance genes and copper resistance genes had the greatest relative abundance for MRGs. No significant difference was found between epilimnion and hypolimnion in abundance or the Shannon diversity index for ARGs and MRGs. Principal coordinates analysis and permutational multivariate analysis of variance (PERMANOVA) test showed that stratification and geography had significant influence on the composition of ARGs and MRGs in lakes (p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
0160-4120 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S0160412018332161; https://doaj.org/toc/0160-4120 |
| DOI: |
10.1016/j.envint.2019.03.062 |
| Access URL: |
https://doaj.org/article/daecdab99cbc4f03b0015cf49a289261 |
| Accession Number: |
edsdoj.b99cbc4f03b0015cf49a289261 |
| Database: |
Directory of Open Access Journals |
