| Literature DB >> 23841072 |
Konstantinos Ar Kormas1, Despoina S Lymperopoulou.
Abstract
Cyanobacteria are ubiquitous in nature and are both beneficial and detrimental to humans. Benefits include being food supplements and producing bioactive compounds, like antimicrobial and anticancer substances, while their detrimental effects are evident by toxin production, causing major ecological problems at the ecosystem level. To date, there are several ways to degrade or transform these toxins by chemical methods, while the biodegradation of these compounds is understudied. In this paper, we present a meta-analysis of the currently available 16S rRNA and mlrA (microcystinase) genes diversity of isolates known to degrade cyanobacterial toxins. The available data revealed that these bacteria belong primarily to the Proteobacteria, with several strains from the sphingomonads, and one from each of the Methylobacillus and Paucibacter genera. Other strains belonged to the genera Arthrobacter, Bacillus, and Lactobacillus. By combining the ecological knowledge on the distribution, abundance, and ecophysiology of the bacteria that cooccur with toxic cyanobacterial blooms and newly developed molecular approaches, it is possible not only to discover more strains with cyanobacterial toxin degradation abilities, but also to reveal the genes associated with the degradation of these toxins.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23841072 PMCID: PMC3690202 DOI: 10.1155/2013/463894
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1The degradative pathway of microcystin LR and the formation of intermediate (less toxic) products by Sphingomonas sp. strain ACM-3962. MW: molecular weight [25].
Isolated microcystin degrading Bacteria.
| Bacteria | Source | 16S rRNA gene | Degradable analogues | MC-degrading genes | Degradation of other toxins | References |
|---|---|---|---|---|---|---|
| Actinobacteria | ||||||
|
| Surface water | FN392690, FN392691, FN392693, FN392694, FN392695, FN392696 | MCLR, MCRR, MCLF | — | NOD | [ |
|
| Surface water | FN392692 | MCLR, MCRR, MCLF | — | NOD | [ |
|
| Surface water | FN392688, FN392689 | MCLR, MCRR, MCLF | — | NOD | [ |
|
| Lake water | — | MCLR | Unknown | [ | |
|
| Probiotic strains | — | MC-LR, MC-RR, MC-YR, MC-LF, MC-LY, MC-LW | Unknown | CYN | [ |
|
| Probiotic strains | — | MC-LR, MC-RR, MC-YR, MC-LF, MC-LY, MC-LW | Unknown | CYN | [ |
| Firmicutes | ||||||
|
| Artificial media | FJ526332 | MCLR, MCRR |
| [ | |
|
| Probiotic strains | AY370682 | MC-LR, MC-RR, MC-YR, MC-LF, MC-LY, MC-LW | Unknown | CYN | [ |
|
| ||||||
|
| Surface water | AF411072 | MCLR, MCRR |
| [ | |
|
| Lake water | AB076083 | Unknown | [ | ||
|
| Lake water | AB159609 | MCLR, MCRR, NOD | Unknown | NOD | |
|
| AY920497 | Unknown | [ | |||
|
| Lake water | AB110635 | MCLR, MCRR, MCYR |
| [ | |
|
| Lake water | AB219940 | MCLR, MCRR, MCYR | Unknown | [ | |
|
| Lake water | AB219941 | MCLR, MCRR, MCYR | Unknown | [ | |
|
| Lake water | NR_040927/AB084247 | MCLR, MCRR, MCYR |
| [ | |
|
| Lake water | — | MC-LR, MC-RR, MC-YR | Unknown | [ | |
|
| Biological sand filter | DQ112242 | MCLR, MCLA |
| [ | |
|
| — | MCLR, MCRR, MCYR, MCLA |
| [ | ||
|
| Reservoir water | JQ398614 | MCLR, MCRR, MCYR, MCLA |
| [ | |
|
| Lake water | JN256930 | Unknown |
| Unpublished | |
|
| Lake water | HQ664117 | MCLR |
| [ | |
|
| Water bloom | AB161684 | MCLR |
| [ | |
|
| Lake water | — | MCLR | Unknown | [ | |
|
| ||||||
|
| Surface water | DQ459360 | MCLR | Unknown | [ | |
|
| Sludge from Cyanobacteria salvaged yard | FJ418599 | MCLR, MCRR | — | [ | |
|
| Lake sediment | NR_042941 | MCLR, MCYR, NOD | — | [ | |
|
| — | — | [ | |||
|
| — | — | ||||
|
| Lake water active | — | MCLR | — | NOD | [ |
|
| Lake water | — | MCLR | — | [ | |
|
| Lake water | — | MCLR, MCRR |
| [ |
CYN: cylindrospermopsin, NOD: nodularin, MC: microcystin, A: alanine, F: phenylalanine, L: leucine, R: arginine, Y: tyrosine, W: tryptophan, mlr: mycrocystinase gene.
Figure 2Phylogenetic tree of the 16S rRNA gene sequences of isolates that either carry the mlrA gene (in green) or degrade MC (in red) or both (in blue), based on the neighbour-joining method and a Jukes-Cantor distance matrix. One thousand bootstrap analyses were conducted, and percentages greater than 50% are indicated at nodes. The numbers in brackets are GenBank accession numbers. Thermotoga maritima was used as an outgroup. Scale bar represents 2% estimated distance.
Figure 3Phylogenetic tree MlrA amino acid sequences retrieved from the GenBank database, based on the neighbor-joining method. The evolutionary distances were computed using the Poisson correction method. One thousand bootstrap analyses were conducted, and percentages greater than 50% are indicated at nodes. The numbers in brackets are GenBank accession numbers. Scale bar represents 2% estimated distance.