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© 2021The Anones Lagoon, located in the Island Municipality of Vieques, Puerto Rico (PR), received extensive bombing by the US Navy during military exercises for decades until 2003 when military activities ceased. Here, we employed shotgun metagenomic sequencing to investigate how microbial communities responded to pollution by heavy metals and explosives at this lagoon. Sediment samples (0–5 cm) from Anones were collected in 2005 and 2014 and compared to samples from two reference lagoons, i.e., Guaniquilla, Cabo Rojo (a natural reserve) and Condado, San Juan (PR's capital city). Consistent with low anthropogenic inputs, Guaniquilla exhibited the highest degree of diversity with a lower frequency of genes related to xenobiotics metabolism between the three lagoons. Notably, a clear shift was observed in Anones, with Euryarchaeota becoming enriched (9% of total) and a concomitant increase in community diversity, by about one order of magnitude, after almost 10 years without bombing activities. In contrast, genes associated with explosives biodegradation and heavy metal transformation significantly decreased in abundance in Anones 2014 (by 91.5%). Five unique metagenome-assembled genomes (MAGs) were recovered from the Anones 2005 sample that encoded genetic determinants implicated in biodegradation of contaminants, and we propose to name one of them as “Candidatus Biekeibacterium resiliens” gen. nov., sp. nov. within the Gammaproteobacteria class. Collectively, these results provide new insights into the natural attenuation of explosive contaminants by the benthic microbial communities of the Anones lagoon and provide a reference point for assessing other similarly impacted sites and associated bioremediation efforts.

Accurate detection of target microbial species in metagenomic datasets from environmental samples remains limited because the limit of detection of current methods is typically inaccessible and the frequency of false-positives, resulting from inadequate identification of regions of the genome that are either too highly conserved to be diagnostic (e.g., rRNA genes) or prone to frequent horizontal genetic exchange (e.g., mobile elements) remains unknown. To overcome these limitations, we introduce imGLAD, which aims to detect genomic sequences in metagenomic datasets. imGLAD achieves high accuracy because it uses the sequence-discrete population concept for discriminating between metagenomic reads originating from the target organism compared to reads from co-occurring close relatives, masks regions of the genome that are not informative using the MyTaxa engine, and models both the sequencing breadth and depth to determine relative abundance and limit of detection. We validated imGLAD by analysing metagenomic datasets derived from spinach leafs inoculated with the enteric pathogen Escherichia coli O157:H7 and showed that its limit of detection is comparable to that of PCR-based approaches (~1 cell/gram).

Cotylorhiza tuberculata is an important scyphozoan jellyfish producing population blooms in the Mediterranean probably due to pelagic ecosystem's decay. Its gastric cavity can serve as a simple model of microbial–animal digestive associations, yet poorly characterized. Using state-of-the-art metagenomic population binning and catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH), we show that only four novel clonal phylotypes were consistently associated with multiple jellyfish adults. Two affiliated close to Spiroplasma and Mycoplasma genera, one to chlamydial ‘Candidatus Syngnamydia’, and one to bacteroidetal Tenacibaculum, and were at least one order of magnitude more abundant than any other bacteria detected. Metabolic modelling predicted an aerobic heterotrophic lifestyle for the chlamydia, which were found intracellularly in Onychodromopsis-like ciliates. The Spiroplasma-like organism was predicted to be an anaerobic fermenter associated to some jellyfish cells, whereas the Tenacibaculum-like as free-living aerobic heterotroph, densely colonizing the mesogleal axis inside the gastric filaments. The association between the jellyfish and its reduced microbiome was close and temporally stable, and possibly related to food digestion and protection from pathogens. Based on the genomic and microscopic data, we propose three candidate taxa: ‘Candidatus Syngnamydia medusae’, ‘Candidatus Medusoplasma mediterranei’ and ‘Candidatus Tenacibaculum medusae’. This research from RRM’s group was partially supported by the Spanish Ministry of Economy projects CGL2012-39627-C03-03 and CLG2015_66686-C3-1-P, which were also supported with European Regional Development Fund (FEDER) funds. KTK’s research was supported, in part, by the U.S. National Science Foundation (Award No. 1241046). RRM acknowledges the economic support of grant PR2015-00008 included in the program Salvador de Madariaga of the Ministry of Education, Culture and Sports in order to undertake a research stay at the MPI-MM in Bremen. TVP acknowledges the predoctoral fellowship of the Ministerio de Economía y Competitividad of the Spanish Government for the FPI fellowship (Nr BES-2013-064420) supporting his research activities.