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Revealing microbial species diversity using sequence capture by hybridization.

ABSTRACT: Targeting small parts of the 16S rDNA phylogenetic marker by metabarcoding reveals microorganisms of interest but cannot achieve a taxonomic resolution at the species level, precluding further precise characterizations. To identify species behind operational taxonomic units (OTUs) of interest, even in the rare biosphere, we developed an innovative strategy using gene capture by hybridization. From three OTU sequences detected upon polyphenol supplementation and belonging to the rare biosphere of the human gut microbiota, we revealed 59 nearly full-length 16S rRNA genes, highlighting high bacterial diversity hidden behind OTUs while evidencing novel taxa. Inside each OTU, revealed 16S rDNA sequences could be highly distant from each other with similarities down to 85 %. We identified one new family belonging to the order Clostridiales, 39 new genera and 52 novel species. Related bacteria potentially involved in polyphenol degradation have also been identified through genome mining and our results suggest that the human gut microbiota could be much more diverse than previously thought.

SUBMITTER: Marre S

PROVIDER: S-EPMC8767324 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Revealing microbial species diversity using sequence capture by hybridization.

Marre Sophie S Gasc Cyrielle C Forest Camille C Lebbaoui Yacine Y Mosoni Pascale P Peyret Pierre P

Microbial genomics 20211201 12

Targeting small parts of the 16S rDNA phylogenetic marker by metabarcoding reveals microorganisms of interest but cannot achieve a taxonomic resolution at the species level, precluding further precise characterizations. To identify species behind operational taxonomic units (OTUs) of interest, even in the rare biosphere, we developed an innovative strategy using gene capture by hybridization. From three OTU sequences detected upon polyphenol supplementation and belonging to the rare biosphere of ...[more]

PMID: 34882529

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Project description:Phytoplasmas are insect-vectored, difficult-to-culture bacterial pathogens that infect a wide variety of crop and non-crop plants, and are associated with diseases that can lead to significant yield losses in agricultural production worldwide. Phytoplasmas are currently grouped in the provisional genus 'Candidatus Phytoplasma', which includes 49 'Candidatus' species. Further differentiation of phytoplasmas into ribosomal groups is based on the restriction fragment length polymorphism (RFLP) pattern of the 16S rRNA-encoding operon, with more than 36 ribosomal groups (16Sr) and over 100 subgroups reported. Since disease symptoms on plants are not associated with phytoplasma identity, accurate diagnostics is of critical importance to manage disease associated with these microorganisms. Phytoplasmas are typically detected from plant and insect tissue using PCR-based methods targeting universal taxonomic markers. Although these methods are relatively sensitive, specific and are widely used, they have limitations, since they provide limited resolution of phytoplasma strains, thus necessitating further assessment of biological properties and delaying implementation of mitigation measures. Moreover, the design of PCR primers that can target multiple loci from phytoplasmas that differ at the sequence level can be a significant challenge. To overcome these limitations, a PCR-independent, multilocus sequence typing (MLST) assay to characterize an array of phytoplasmas was developed. Hybridization probe s targeting cpn60, tuf, secA, secY, and nusA genes, as well as 16S and rp operons, were designed and used to enrich DNA extracts from phytoplasma-infected samples for DNA fragments corresponding to these markers prior to Illumina sequencing. This method was tested using different phytoplasmas including 'Ca. P. asteris' (16SrI-B), 'Ca. P. pruni' (16SrIII-A),'Ca. P. prunorum' (16SrX-B), 'Ca. P. pyri' (16SrX-C), 'Ca. P. mali' (16SrX-A), and 'Ca. P. solani' (16SrXII-A). Thousands of reads were obtained for each gene with multiple overlapping fragments, which were assembled to generate full-length (typically >2 kb), high-quality sequences. Phytoplasma groups and subgroups were accurately determined based on 16S ribosomal RNA and cpn60 gene sequences. Hybridization-based MLST facilitates the enrichment of target genes of phytoplasmas and allows the simultaneous determination of sequences corresponding to seven different markers. In this proof-of-concept study, hybridization-based MLST was demonstrated to be an efficient way to generate data regarding 'Ca. Phytoplasma' species/strain differentiation.

Project description:Haemophilus influenzae(Hi) is a gram-negative rod shaped bacterium that lives symbiotically in the upper respiratory tract of humans. Capsulated Hi, as well as non-capsulated strains are known to cause a number of significant infections. Recognizing and understanding the links between the phenotypic traits and the genetic background has paramount epidemiological and clinical importance. To date, a panoply of microbiological and molecular biology tools have been developed and utilized by researchers aimed at identifying the evolutionary links among strains and isolates. Comparative genomic hybridization (CGH) has been shown to be a useful tool for screening strains for their genetic content. However, there is a major limitation when CGH is conducted on a microarray based on a single reference genome. CGH results report which genes are present or absent relative to the genome. Hence the information about novel genetic content that the query strain possesses remains obscure. We report here the construction of the first Hi pan-genome microarray representing ca. 4600 features by 70-mers. In addition to those from the Rd strain, new features originate from the unfinished genome sequences present in NCBI database and from our novel gene discovery project efforts using strain HK1212. Genomes of 20strains belonging to different phylogenetic lineages were screened for their gene loss and gain utilizing the species microarray. The results obtained by employing the multistrain species microarray provide comprehensive information about the genomic content of uncharacterized strains. The trees generated by CGH, in general, do not reproduce the phylogeny of a species in terms of vertical evolution, but instead represents the overall relatedness of genomes to one another and provide an assessment about the species genome evolution. Keywords: Comparative Genomic Hybridization Twenty query strains (denoted HKxxxx) were investigated in this study, with each query strain hybridized against the reference strain, KW20. Two dye-swap experiments were performed, for a total of four hybridizations per query strain. Each 70mer oligo spotted on the H. influenzae species microarray is replicated six times. Positive controls on the array consist of oligos designed from the sequenced reference genome, KW20, and negative controls on the array consist of oligos designed from the thale cress plant, Arabidopsis thaliana.

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Revealing microbial species diversity using sequence capture by hybridization.

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Revealing microbial species diversity using sequence capture by hybridization.

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