| Title |
The attachment potential and N-acyl-homoserine lactone-based quorum sensing in aerobic granular sludge and algal-bacterial granular sludge
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, April 2018
|
| DOI | 10.1007/s00253-018-9002-9 |
| Pubmed ID | |
| Authors |
Bing Zhang, Piet N. L. Lens, Wenxin Shi, Ruijun Zhang, Zhiqiang Zhang, Yuan Guo, Xian Bao, Fuyi Cui |
| Abstract |
Bacteria and algae often coexist in the aerobic granular sludge (AGS) system in a photo-bioreactor, forming algal-bacterial granular sludge. In this study, the physicochemical characteristics and microbial attachment potential of the AGS and algal-bacterial granular sludge were comparatively analyzed. Results clearly showed that the larger and denser algal-bacterial granular sludge had stronger attachment potential compared to the AGS (as the control). A bioassay with Agrobacterium tumefaciens KYC55 indicated that N-acyl-homoserine lactones (AHLs) existed in both sludge types, but further investigations revealed that the relative AHL content of the algal-bacterial granular sludge obviously increased and slightly decreased during phases II and III, respectively, but was consistently higher than the AGS. Based on the EPS measurements and 3D-excitation-emission matrix (3D-EEM) fluorescence spectra analysis, the enhancement of AHL-based QS favored the hydrophobic protein production of algal-bacterial granular sludge, contributing to a good development of the granular sludge. In addition, it was also found that inhibition of AHLs resulted in the reduction of the protein content and attachment potential in algal-bacterial granular sludge, which was unfavorable to the structural stability of the granules. High-throughput sequencing analysis showed that the microbial community of AGS was different from the algal-bacterial granular sludge; specifically, algal-bacterial granulation facilitated the abundance of AHLs and EPS producers, such as the genera Acinetobacter, Chryseobacterium, and Flavobacterium. |
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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 7 | 11% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 23 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 13 | 21% |
| Agricultural and Biological Sciences | 8 | 13% |
| Engineering | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Unspecified | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 27 | 43% |
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 27 April 2018.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,478
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#257,416
of 330,402 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#96
of 144 outputs
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