Back

Molecular methods reveal responses of bacterial communities, including indicator species, to ballast water management

Brown, S. A.; Keely, S. P.; Brinkman, N.; Laroche, O.; Zaiko, A.; Molina, V.; First, M.; Drake, L.; Darling, J. A.

2026-04-27 ecology
10.64898/2026.04.23.720405 bioRxiv
Show abstract

Ballast water (BW) is an important vector for the global translocation of bacterial taxa, including pathogens. Legal frameworks establishing limits on the discharge of live organisms into recipient environments have been designed to reduce risks of microbial invasions, and understanding the impacts of BW management on bacterial communities is critical for assessing the effectiveness of these practices. Here we evaluate changes in bacterial communities associated with both BW treatment (BWT) and a combined management approach of BWT plus BW exchange (BWT+E). Samples were collected on two experimental voyages designed specifically to compare BW-associated biota before and after management. Microbial community structure and inferred function were assessed based on high throughput sequencing of 16S rRNA amplicons, and bacterial indicator taxa E. coli and enterococci were analyzed using targeted qPCR. As expected, both BWT alone and BWT+E dramatically changed bacterial communities, with the latter resulting in the largest overall decreases in bacterial diversity. Increases in Gammaproteobacteria, especially in the genus Pseudomonas, were particularly notable, with concomitant decreases in Alphaproteobacteria and Bacteroidia. Shifts in predicted bacterial function associated with BWT were similar for both voyages, despite significant differences in community structure, and may represent selection for r-strategists capable of active regrowth after BWT. qPCR estimates of indicator taxa were similar to those obtained through standard culture methods but may offer increased sensitivity for detecting changes associated with management. Our results indicate that BW management is effective at reducing bacterial communities but suggest that further research is needed to understand risks associated with taxa that may survive BWT.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Environmental Science & Technology
64 papers in training set
Top 0.1%
21.4%
2
Science of The Total Environment
179 papers in training set
Top 0.4%
16.6%
3
Water Research
74 papers in training set
Top 0.2%
16.6%
50% of probability mass above
4
PLOS ONE
4510 papers in training set
Top 23%
8.0%
5
ACS ES&T Water
18 papers in training set
Top 0.1%
6.1%
6
PLOS Water
11 papers in training set
Top 0.1%
2.5%
7
Scientific Reports
3102 papers in training set
Top 52%
2.0%
8
Environmental Health Perspectives
17 papers in training set
Top 0.3%
1.8%
9
Limnology and Oceanography: Methods
11 papers in training set
Top 0.2%
1.7%
10
mSystems
361 papers in training set
Top 5%
1.6%
11
Environmental DNA
49 papers in training set
Top 0.2%
1.6%
12
Environmental Science & Technology Letters
22 papers in training set
Top 0.2%
1.3%
13
Communications Earth & Environment
14 papers in training set
Top 0.6%
1.3%
14
Environmental Pollution
35 papers in training set
Top 2%
1.1%
15
Frontiers in Microbiology
375 papers in training set
Top 9%
0.7%
16
Applied and Environmental Microbiology
301 papers in training set
Top 3%
0.7%
17
Ecosphere
53 papers in training set
Top 0.7%
0.7%
18
Journal of Environmental Management
11 papers in training set
Top 0.9%
0.7%
19
GeoHealth
10 papers in training set
Top 0.8%
0.6%
20
Environmental Science: Water Research & Technology
13 papers in training set
Top 0.4%
0.6%
21
Molecular Ecology
304 papers in training set
Top 5%
0.6%