| Title |
Whole community transcriptome of a sequencing batch reactor transforming 2,4-dinitroanisole (DNAN) and 3-nitro-1,2,4-triazol-5-one (NTO)
|
|---|---|
| Published in |
Biodegradation, November 2017
|
| DOI | 10.1007/s10532-017-9814-9 |
| Pubmed ID | |
| Authors |
Jennifer Weidhaas, Alexander Panaccione, Ananda Shankar Bhattacharjee, Ramesh Goel, Angela Anderson, Saraswati Poudel Acharya |
| Abstract |
Two sequencing batch reactors (SBRs) were run to bio-mineralize 2,4-dinitroanisole (DNAN) and 3-nitro-1,2,4-triazol-5-one (NTO) in lab scale settings. The reactors were shown to reproducibly biotransform these munitions under aerobic and anaerobic conditions during the operations of these SBRs. Complete removal (100% biotransformation) of DNAN (initially 17.7 ± 5.4 mg L(-1)) and NTO (initially 15.0 ± 7.1 mg L(-1)) was observed in an anaerobic SBR when Luria-Bertani (LB) broth was present. In contrast, an aerobic SBR degraded only 58 ± 22% of DNAN (initially 19.7 ± 6.2 mg L(-1)) and 45 ± 24% of NTO (initially 9.7 ± 6.3 mg L(-1)) when either LB or glucose was also added indicating that anaerobic conditions are more favorable for biotransformation of these munitions. Transcriptomic analysis of the DNAN and NTO degrading anaerobic SBR revealed upregulation of a putative nitroreductase, hydroxylaminophenol mutases, 4-hydroxylphenyl acetate associated genes, and quinone oxioreductases. Major Bacterial populations included Bacteroidales, Campylobacterales, Enterobacteriales, Pseudomonadales, Burkholderiales and Clostridiales. Results from this study can be used to inform investigation of munition degrading organisms and the functional genes responsible. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Other | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Researcher | 3 | 10% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 34% |
| Engineering | 4 | 14% |
| Agricultural and Biological Sciences | 2 | 7% |
| Chemistry | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 31% |
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 17 November 2017.
All research outputs
#18,576,855
of 23,008,860 outputs
Outputs from Biodegradation
#291
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Outputs of similar age
#226,283
of 294,546 outputs
Outputs of similar age from Biodegradation
#3
of 6 outputs
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