Back

Characterization of a uranium-tolerant green microalga of the genus Coelastrella with high potential for the remediation of metal-polluted waters

Beaulier, C.; Dannay, M.; Devime, F.; Baggio, C.; El Sakkout, N.; Raillon, C.; Courson, O.; Bourguignon, J.; ALBAN, C.; Ravanel, S.

2023-06-30 plant biology
10.1101/2023.06.29.546994 bioRxiv
Show abstract

Uranium (U) pollution of terrestrial and aquatic ecosystems poses a significant threat to the environment and human health because this radionuclide is chemotoxic. Characterization of organisms that tolerate and accumulate U is critical to decipher the mechanisms evolved to cope with the radionuclide and to propose new effective strategies for bioremediation of U-contaminated environments. Here, we isolated a unicellular green microalga of the genus Coelastrella from U-contaminated wastewater. We showed that Coelastrella sp. PCV is much more tolerant to U than Chlamydomonas reinhardtii and Chlorella vulgaris. Coelastrella is able to accumulate U very rapidly, then gradually release it into the medium, behaving as an excluder to limit the toxic effects of U. The ability of Coelastrella to accumulate U is remarkably high, with up to 600 mg U sorbed per g dry biomass. Coelastrella is able to grow and maintain high photosynthesis in natural metal-contaminated waters from a wetland near a reclaimed U mine. Over a single one-week growth cycle, Coelastrella is able to capture 25-55% of U from contaminated waters and demonstrates lipid droplet accumulation. Coelastrella sp. PCV is a very promising microalga for the remediation of polluted waters with valorization of algal biomass that accumulates lipids. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=176 SRC="FIGDIR/small/546994v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1ff356corg.highwire.dtl.DTLVardef@c53d0org.highwire.dtl.DTLVardef@15284eborg.highwire.dtl.DTLVardef@946d49_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Journal of Hazardous Materials
19 papers in training set
Top 0.1%
27.5%
2
Science of The Total Environment
179 papers in training set
Top 0.6%
11.1%
3
PLOS ONE
4510 papers in training set
Top 25%
6.8%
4
Water Research
74 papers in training set
Top 0.4%
5.2%
50% of probability mass above
5
RSC Advances
18 papers in training set
Top 0.1%
3.8%
6
Scientific Reports
3102 papers in training set
Top 33%
3.8%
7
Environmental Research
46 papers in training set
Top 0.5%
3.3%
8
Journal of Nanobiotechnology
10 papers in training set
Top 0.1%
2.0%
9
Nature Communications
4913 papers in training set
Top 48%
1.9%
10
Frontiers in Plant Science
240 papers in training set
Top 3%
1.8%
11
Environmental Science & Technology
64 papers in training set
Top 1%
1.8%
12
Journal of Structural Biology
58 papers in training set
Top 0.6%
1.8%
13
Metallomics
11 papers in training set
Top 0.1%
1.4%
14
PeerJ
261 papers in training set
Top 9%
1.4%
15
Talanta
12 papers in training set
Top 0.4%
1.4%
16
International Journal of Molecular Sciences
453 papers in training set
Top 10%
1.3%
17
ACS ES&T Water
18 papers in training set
Top 0.3%
1.0%
18
ACS Synthetic Biology
256 papers in training set
Top 2%
0.9%
19
Environmental Science: Water Research & Technology
13 papers in training set
Top 0.3%
0.9%
20
Microorganisms
101 papers in training set
Top 2%
0.8%
21
Chemosphere
15 papers in training set
Top 0.5%
0.8%
22
Biotechnology and Bioengineering
49 papers in training set
Top 1%
0.7%
23
Science Advances
1098 papers in training set
Top 34%
0.5%
24
Viruses
318 papers in training set
Top 6%
0.5%
25
Science China Life Sciences
26 papers in training set
Top 3%
0.5%
26
ACS Omega
90 papers in training set
Top 5%
0.5%
27
Microbiome
139 papers in training set
Top 4%
0.5%