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Pirovano, W.

Publications and source records attributed to Pirovano, W..

3 recordsLinked to original sources

Reconstructing plant beneficial bacterial consortia by integrating dilution-to-extinction microbiome perturbation with genome-resolved synthetic ecology

Across the biosphere, microbiomes play essential roles in shaping the health of their host. One notable example of such a microbiome-associated phenotype is disease-suppressive soils, where susceptible plant hosts enrich and activate specific rhizosphere microbial consortia for protection against fungal root pathogens. However, identifying and reconstructing microbial consortia responsible for host protection remains challenging, given the inherent taxonomic and functional complexity of microbiomes. Here, we integrated metagenomic profiling of disease-suppressive microbiomes perturbed by dilution-to-extinction (DTE) with comprehensive culturing and synthetic ecology to identify the key bacterial taxa conferring suppressiveness to the fungal wheat pathogen Fusarium culmorum. Metagenomics of wheat rhizosphere samples along the DTE trajectory revealed bacterial taxa and functions associated with the disease-suppressive phenotype. Crosslinking these DTE metagenome data with a genome-sequenced collection of 336 rhizobacterial isolates from the suppressive soil allowed the reconstruction of synthetic communities (SynComs) of 11 de-replicated strains negatively associated with disease severity. Upon re-introduction in sterilized suppressive soils, this SynCom consistently reproduced the disease-suppressive phenotype. Paired time-series metagenomics and metatranscriptomics of the SynComs pinpointed candidate biosynthetic gene clusters, including a novel non-alpha poly-amino-acid (NAPAA) gene cluster from Arthrobacter, upregulated in presence of F. culmorum. Chemically synthesized NAPAA variants {varepsilon}-poly-L-lysine and {delta}-poly-L-ornithine significantly inhibited F. culmorum hyphal growth. Collectively, our work establishes a transformative strategy for reconstructing microbial consortia that recapitulates beneficial microbiome-associated phenotypes in plant and animal kingdoms.

microbiology↗

Multiomics characterization of the zoo-housed gorilla gut microbiome reveals loss of bacterial diversity besides abundant fungal cellulose-degrading and archaeal methanogenic activity

We carried out a comparative analysis between the bacterial microbiota composition of zoo-housed western lowland gorillas and their wild counterparts through 16S rRNA gene amplicon sequencing. In addition, we characterized the carbohydrate-active and methanogenic potential of the zoo-housed gorilla microbiome through shotgun metagenomics and RNA sequencing. The zoo-housed gorilla microbiota showed increased alpha diversity in terms of bacterial species richness and a distinct composition from that of the wild gorilla microbiota, including a loss of abundant fiber-degrading and hydrogenic Chloroflexi. Metagenomic analysis of the CAZyome indicated predominant oligosaccharide-degrading activity, while RNA sequencing revealed diverse cellulase and hemi-cellulase activities in the zoo-housed gorilla gut, contributing to a total of 268 identified carbohydrate-active enzymes. Metatranscriptome analysis revealed a substantial contribution of 38% of the transcripts from anaerobic fungi and archaea to the gorilla microbiome. This activity originates from cellulose-degrading and hydrogenic fungal species belonging to the class Neocallimastigomycetes, as well as from methylotrophic and hydrogenotrophic methanogenic archaea belonging to the classes Thermoplasmata and Methanobacteria, respectively. Our study shows the added value of RNA sequencing in a multiomics approach and highlights the contribution of eukaryotic and archaeal activities to the gut microbiome of gorillas.

microbiology↗

Phylotranscriptomics Reveals the Reticulate Evolutionary History of a Widespread Diatom Species Complex

In contrast to surveys based on a few genes that often provide limited taxonomic resolution, transcriptomes provide a wealth of genomic loci that can resolve relationships among taxonomically challenging lineages. Diatoms are a diverse group of aquatic microalgae that includes important bioindicator species and many such lineages. One example is Nitzschia palea, a widespread species complex with several morphologically based taxonomic varieties, some of which are critical pollution indicators. Morphological differences among the varieties are subtle and phylogenetic studies on a few genes fail to resolve their evolutionary relationships. We conducted morphometric and transcriptome analyses of 10 Nitzschia palea strains to resolve the relationships among strains and taxonomic varieties. Nitzschia palea was resolved into three clades, one of which corresponds to a group of strains with narrow linear-lanceolate valves. The other morphological group recovered in the shape outline analysis was not monophyletic and consisted of two clades. Subsequent gene-tree concordance analyses and phylogenetic network estimations revealed patterns of incomplete lineage sorting and gene flow between intraspecific lineages. We detected reticulated evolutionary patterns among lineages with different morphologies and a resulting putative recent hybrid. Our study shows that phylogenomic analyses of many unlinked nuclear loci, complemented with morphometrics, can resolve complex evolutionary histories of recently diverged species complexes.

genomics↗