Potential bacterial bioindicators of urban pollution in mangroves.

Despite their ecological and socioeconomic importance, mangroves are among the most threatened tropical environments in the world. In the past two decades, the world's mangrove degradation and loss were estimated to lie between an 35% and >80%. However, appropriate bioindicators for assessing the impact of external factors, and for differentiating polluted from unpolluted areas are still scarce. Here, we determine the physicochemical profiles of the soils of two mangroves, one exposed to and one not exposed to anthropogenic factors. By metagenomic analysis based on 16S rRNA, we generated the bacterial diversity profiles of the soils and estimated their functional profiles. Our results showed that the two examined mangrove forests differed significantly in the physicochemical properties of the soils, especially regarding organic carbon, phosphorus and metal content, as well as in their microbial communities, which was likely caused by anthropogenic pollution. The physicochemical differences between the soils explained 76% of the differential bacterial composition, and 64% depended solely on gradients of phosphorus, metal ions and potassium. We found two genera JL-ETNP-Z39 and TA06 exclusively in polluted and non-polluted mangroves, respectively. Additionally, the polluted mangrove was enriched in Gemmatimonadetes, Cyanobacteria, Chloroflexi, Firmicutes, Acidobacteria, and Nitrospirae. A total of 77 genera were affected by anthropic contamination, of which we propose 33 as bioindicators; 26 enriched, and 7 depleted upon pollution.

Influence of salinity on the degradation of xenobiotic compounds in rhizospheric mangrove soil.

Mangroves are highly productive tropical ecosystems influenced by seasonal and daily salinity changes, often exposed to sewage contamination, oil spills and heavy metals, among others. There is limited knowledge of the influence of salinity on the ability of microorganisms to degrade xenobiotic compounds. The aim of this study were to determine the salinity influence on the degradation of xenobiotic compounds in a semi-arid mangrove in La Guajira-Colombia and establish the more abundant genes and degradation pathways. In this study, rhizospheric soil of Avicennia germinans was collected in three points with contrasting salinity (4H, 2 M and 3 L). Total DNA extraction was performed and shotgun sequenced using the Illumina HiSeq technology. We annotated 507,343 reads associated with 21 pathways and detected 193 genes associated with the degradation of xenobiotics using orthologous genes from the KEGG Orthology (KO) database, of which 16 pathways and 113 genes were influenced by salinity. The highest abundances were found in high salinity. The degradation of benzoate showed the highest abundance, followed by the metabolism of the drugs and the degradation of chloroalkane and chloroalkene. The majority of genes were associated with phase I degradation of xenobiotics. The most abundant genes were acetyl-CoA C-acetyltransferase (atoB), catalase-peroxidase (katG) and GMP synthase (glutamine-hydrolysing) (guaA). In conclusion, the metagenomic analysis detected all the degradation pathways of xenobiotics of KEGG and 59% of the genes associated with these pathways were influenced by salinity.