Literature DB >> 35894623

Draft Genome Sequences of Nine "Candidatus Nanosynbacter sp. HMT-352" Strains Cultured from the Human Oral Cavity.

Jett Liu1, Daniel R Utter2, Jie Nie3, Kristopher A Kerns4, Eleanor I Lamont4, Erik L Hendrickson4, Xiaoyan Wang3, Jeffrey S McLean4, Xuesong He1,5, Batbileg Bor1,5.   

Abstract

Here, we report draft genome sequences for nine strains of "Candidatus Nanosynbacter sp. HMT-352." These strains and their sequences were used to interrogate strain-level variations in host range, gene content, and growth dynamics among the phylum "Candidatus Saccharibacteria."

Entities:  

Year:  2022        PMID: 35894623      PMCID: PMC9387224          DOI: 10.1128/mra.00403-22

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

The nine “Candidatus Nanosynbacter sp. HMT-352” (hereafter, HMT-352) strains reported here (Table 1) were recently isolated from the human oral cavity (1) and are the first members of the phylum “Candidatus Saccharibacteria,” a major lineage of the Candidate Phyla Radiation (CPR) (2), to be characterized at the strain level.
TABLE 1

Summary information for the nine “Ca. Nanosynbacter sp. HMT-352” strains cultured from the human oral cavity

Strain nameBioSample accession no.SRA accession no. for:
Total length (bp)No. of contigsN50 (bp)GC content (%)Completion (%)Redundancy (%)No. of genesAssembly coverage (×) for:
MonocultureCocultureMonocultureCoculture
TM7-001 SAMN23492223 SRR18278454 SRR18278446 771,8071771,80743.2583.102.828033,276432
TM7-008 SAMN23492221 SRR18278459 SRR18278451 725,5802548,42443.1784.510.007473,0632,387
TM7-053 SAMN23492224 SRR18278461 SRR18278463 755,9842546,11743.1884.514.237751,4031,097
TM7-057 SAMN23492218 SRR18278457 SRR18278449 758,4806490,40242.9984.512.828047281,156
TM7-072 SAMN23492220 SRR18278453 SRR18278445 733,2101733,21043.3184.511.417422,9111,235
TM7-075 SAMN23492222 SRR18278460 SRR18278462 730,9382448,95543.1584.514.237553,4841,767
TM7-076 SAMN23492217 SRR18278456 SRR18278448 756,0984170,97943.1983.100.007913,5191,213
TM7-087 SAMN23492219 SRR18278458 SRR18278450 741,9123536,84143.4284.510.007713,2592,736
TM7-037 SAMN23492216 SRR18278452 SRR18278444 718,2831718,28343.2683.102.82735651390
Summary information for the nine “Ca. Nanosynbacter sp. HMT-352” strains cultured from the human oral cavity These nine HMT-352 strains were isolated from human saliva using a previously described “baiting” method (1, 3). Briefly, saliva samples were centrifuged, filtered through a 0.45-μM filter, and cocultured in brain heart infusion medium (catalog number 237500; BD, NJ, USA) with potential basibionts (bacterial hosts). The cocultures were incubated at 37°C and passaged at a dilution of 1:10 every 2 days into fresh medium. A previously described modified MasterPure DNA isolation kit (catalog number MGP04100; Epicentre, WI, USA) protocol (4) was used to isolate genomic DNA (gDNA) from both filter-isolated HMT-352 cells and the HMT-352-basibiont cocultures. Briefly, bacterial cultures were mixed with glass beads (catalog number G8772; Sigma, St. Louis, MO) and disrupted using a bead-beating homogenizer. gDNA isolation was then performed according to the manufacturer’s protocol. The gDNA was randomly fragmented by sonication and then end-polished, A-tailed, and ligated with full-length Illumina adapters. The library constructs were purified using the AMPure XP system (Beckman Coulter, IN, USA) and checked for size distribution using a 2100 Bioanalyzer (Agilent Technologies, CA, USA). The libraries were then sequenced on an Illumina NovaSeq instrument (paired-end [PE] 150-bp reads). Default parameters were used for the computational analyses except where otherwise noted. The reads were quality controlled using iu-filter-quality-minoche from illumina-utils v2.12 (5). For each new HMT-352 strain, genomes were assembled using a previously described Anvi’o v7.1 workflow (1, 6) that employed both the isolate and coculture genomic libraries. Briefly, for each strain, libraries from the isolated HMT-352 were individually assembled using metaSPAdes v3.15.3 (7) and binned using MaxBin2 v2.2.4-1 (8). The bins were then manually refined and reassembled using both the isolate and coculture libraries. Genes were annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) v5.3 (9). All genomes were less than 5% redundant, between 83% and 85% complete, and contained between 732 and 801 genes (Table 1). The HMT-352 strains were compared to representative Candidatus Saccharibacteria from eHOMD v15.22 (10) using full-length 16S rRNA sequences aligned with MAFFT v7.490 (11). All strains had more than 98% homology to the closest eHOMD species. The average nucleotide identity (ANI) values over all alignable genome fractions, however, ranged between 93% and 95%, at or below the extreme end of the accepted range for intraspecies variation (12–14). Such substantial intraspecies genetic diversity is additionally apparent in Fig. 1, which provides a comparison of the phylogenetic differences between the 16S rRNA, select marker gene, and single-copy core gene trees. The unexpectedly high nucleotide diversity among these strains warrants further investigation and accentuates that broad phylogenetic characterization of the CPR is the next step in understanding these bacteria.
FIG 1

16S rRNA, select marker gene, and single-copy core gene trees of the reported HMT-352 strains. The previously reported HMT-352 strain KC1 (15) is additionally included. The node labels represent bootstrap support. (A) Maximum-likelihood tree based on full-length 16S rRNA sequences constructed using IQ-TREE v2.1.4-beta with ultrafast bootstrap (-bb 1500) (16). Nanosynbacter lyticus strain TM7x (17) is included as an outgroup. (B) Phylogenomic tree constructed using FastTree 2 v2.1.11-1 (18) with 60 concatenated core protein amino acid sequences and TM7x (HMT-952) included as an outgroup. (C) Maximum-likelihood tree inferred using 523 concatenated single-copy core gene amino acid sequences found in all strains constructed using IQ-TREE with ultrafast bootstrap (-bb 1500).

16S rRNA, select marker gene, and single-copy core gene trees of the reported HMT-352 strains. The previously reported HMT-352 strain KC1 (15) is additionally included. The node labels represent bootstrap support. (A) Maximum-likelihood tree based on full-length 16S rRNA sequences constructed using IQ-TREE v2.1.4-beta with ultrafast bootstrap (-bb 1500) (16). Nanosynbacter lyticus strain TM7x (17) is included as an outgroup. (B) Phylogenomic tree constructed using FastTree 2 v2.1.11-1 (18) with 60 concatenated core protein amino acid sequences and TM7x (HMT-952) included as an outgroup. (C) Maximum-likelihood tree inferred using 523 concatenated single-copy core gene amino acid sequences found in all strains constructed using IQ-TREE with ultrafast bootstrap (-bb 1500).

Data availability.

Cultures of these strains are available upon request. The sequence data have been deposited at NCBI under the BioProject accession number PRJNA784561. The BioSample and SRA accession numbers are listed in Table 1. All code used to assemble and analyze the genomes is available at https://www.borlab.org/resources.
  17 in total

1.  MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.

Authors:  Kazutaka Katoh; Kazuharu Misawa; Kei-ichi Kuma; Takashi Miyata
Journal:  Nucleic Acids Res       Date:  2002-07-15       Impact factor: 16.971

2.  FastTree 2--approximately maximum-likelihood trees for large alignments.

Authors:  Morgan N Price; Paramvir S Dehal; Adam P Arkin
Journal:  PLoS One       Date:  2010-03-10       Impact factor: 3.240

3.  A new view of the tree of life.

Authors:  Laura A Hug; Brett J Baker; Karthik Anantharaman; Christopher T Brown; Alexander J Probst; Cindy J Castelle; Cristina N Butterfield; Alex W Hernsdorf; Yuki Amano; Kotaro Ise; Yohey Suzuki; Natasha Dudek; David A Relman; Kari M Finstad; Ronald Amundson; Brian C Thomas; Jillian F Banfield
Journal:  Nat Microbiol       Date:  2016-04-11       Impact factor: 17.745

4.  Episymbiotic Saccharibacteria suppresses gingival inflammation and bone loss in mice through host bacterial modulation.

Authors:  Otari Chipashvili; Daniel R Utter; Joseph K Bedree; Yansong Ma; Fabian Schulte; Gabrielle Mascarin; Yasmin Alayyoubi; Deepak Chouhan; Markus Hardt; Felicitas Bidlack; Hatice Hasturk; Xuesong He; Jeffrey S McLean; Batbileg Bor
Journal:  Cell Host Microbe       Date:  2021-10-11       Impact factor: 21.023

5.  metaSPAdes: a new versatile metagenomic assembler.

Authors:  Sergey Nurk; Dmitry Meleshko; Anton Korobeynikov; Pavel A Pevzner
Journal:  Genome Res       Date:  2017-03-15       Impact factor: 9.043

6.  New Insights into Human Nostril Microbiome from the Expanded Human Oral Microbiome Database (eHOMD): a Resource for the Microbiome of the Human Aerodigestive Tract.

Authors:  Tsute Chen; Yanmei Huang; Isabel F Escapa; Prasad Gajare; Floyd E Dewhirst; Katherine P Lemon
Journal:  mSystems       Date:  2018-12-04       Impact factor: 6.496

7.  Consistent Metagenome-Derived Metrics Verify and Delineate Bacterial Species Boundaries.

Authors:  Matthew R Olm; Alexander Crits-Christoph; Spencer Diamond; Adi Lavy; Paula B Matheus Carnevali; Jillian F Banfield
Journal:  mSystems       Date:  2020-01-14       Impact factor: 6.496

8.  Strain-Level Variation and Diverse Host Bacterial Responses in Episymbiotic Saccharibacteria.

Authors:  Jie Nie; Daniel R Utter; Kristopher A Kerns; Eleanor I Lamont; Erik L Hendrickson; Jett Liu; Tingxi Wu; Xuesong He; Jeffrey McLean; Batbileg Bor
Journal:  mSystems       Date:  2022-03-28       Impact factor: 7.324

9.  NCBI prokaryotic genome annotation pipeline.

Authors:  Tatiana Tatusova; Michael DiCuccio; Azat Badretdin; Vyacheslav Chetvernin; Eric P Nawrocki; Leonid Zaslavsky; Alexandre Lomsadze; Kim D Pruitt; Mark Borodovsky; James Ostell
Journal:  Nucleic Acids Res       Date:  2016-06-24       Impact factor: 16.971

10.  Anvi'o: an advanced analysis and visualization platform for 'omics data.

Authors:  A Murat Eren; Özcan C Esen; Christopher Quince; Joseph H Vineis; Hilary G Morrison; Mitchell L Sogin; Tom O Delmont
Journal:  PeerJ       Date:  2015-10-08       Impact factor: 2.984

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