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Deb S, Wild MA, LeClair T, Shah DH. Discovery of novel treponemes associated with pododermatitis in elk ( Cervus canadensis). Appl Environ Microbiol 2024; 90:e0010524. [PMID: 38742897 PMCID: PMC11218636 DOI: 10.1128/aem.00105-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
Pododermatitis, also known as treponeme-associated hoof disease (TAHD), presents a significant challenge to elk (Cervus canadensis) populations in the northwestern USA, with Treponema spp. consistently implicated in the lesion development. However, identifying species-specific Treponema strains from these lesions is hindered by its culture recalcitrance and limited genomic information. This study utilized shotgun sequencing, in silico genome reconstruction, and comparative genomics as a culture-independent approach to identify metagenome-assembled Treponema genomes (MATGs) from skin scraping samples collected from captive elk experimentally challenged with TAHD. The genomic analysis revealed 10 new MATGs, with 6 representing novel genomospecies associated with pododermatitis in elk and 4 corresponding to previously identified species-Treponema pedis and Treponema phagedenis. Importantly, genomic signatures of novel genomospecies identified in this study were consistently detected in biopsy samples of free-ranging elk diagnosed with TAHD, indicating a potential etiologic association. Comparative metabolic profiling of the MATGs against other Treponema genomes showed a distinct metabolic profile, suggesting potential host adaptation or geographic uniqueness of these newly identified genomospecies. The discovery of novel Treponema genomospecies enhances our understanding of the pathogenesis of pododermatitis and lays the foundation for the development of improved molecular surveillance tools to monitor and manage the disease in free-ranging elk.IMPORTANCETreponema spp. play an important role in the development of pododermatitis in free-ranging elk; however, the species-specific detection of Treponema from pododermatitis lesions is challenging due to culture recalcitrance and limited genomic information. The study utilized shotgun sequencing and in silico genome reconstruction to identify novel Treponema genomospecies from elk with pododermatitis. The discovery of the novel Treponema species opens new avenues to develop molecular diagnostic and epidemiologic tools for the surveillance of pododermatitis in elk. These findings significantly enhance our understanding of the genomic landscape of the Treponemataceae consortium while offering valuable insights into the etiology and pathogenesis of emerging pododermatitis in elk populations.
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Affiliation(s)
- Sushanta Deb
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
| | - Margaret A. Wild
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
| | - Thomas LeClair
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
| | - Devendra H. Shah
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA
- School of Veterinary Medicine, Texas Tech University, Amarillo, Texas, USA
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2
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Smith BJ, Li X, Shi ZJ, Abate A, Pollard KS. Scalable Microbial Strain Inference in Metagenomic Data Using StrainFacts. FRONTIERS IN BIOINFORMATICS 2022; 2:867386. [PMID: 36304283 PMCID: PMC9580935 DOI: 10.3389/fbinf.2022.867386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/14/2022] [Indexed: 11/25/2022] Open
Abstract
While genome databases are nearing a complete catalog of species commonly inhabiting the human gut, their representation of intraspecific diversity is lacking for all but the most abundant and frequently studied taxa. Statistical deconvolution of allele frequencies from shotgun metagenomic data into strain genotypes and relative abundances is a promising approach, but existing methods are limited by computational scalability. Here we introduce StrainFacts, a method for strain deconvolution that enables inference across tens of thousands of metagenomes. We harness a “fuzzy” genotype approximation that makes the underlying graphical model fully differentiable, unlike existing methods. This allows parameter estimates to be optimized with gradient-based methods, speeding up model fitting by two orders of magnitude. A GPU implementation provides additional scalability. Extensive simulations show that StrainFacts can perform strain inference on thousands of metagenomes and has comparable accuracy to more computationally intensive tools. We further validate our strain inferences using single-cell genomic sequencing from a human stool sample. Applying StrainFacts to a collection of more than 10,000 publicly available human stool metagenomes, we quantify patterns of strain diversity, biogeography, and linkage-disequilibrium that agree with and expand on what is known based on existing reference genomes. StrainFacts paves the way for large-scale biogeography and population genetic studies of microbiomes using metagenomic data.
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Affiliation(s)
- Byron J. Smith
- The Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, United States
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Xiangpeng Li
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
| | - Zhou Jason Shi
- The Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, United States
- Chan-Zuckerberg Biohub, San Francisco, CA, United States
| | - Adam Abate
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, United States
- Chan-Zuckerberg Biohub, San Francisco, CA, United States
| | - Katherine S. Pollard
- The Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, United States
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
- Chan-Zuckerberg Biohub, San Francisco, CA, United States
- *Correspondence: Katherine S. Pollard,
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Frolova M, Yudin S, Makarov V, Glazunova O, Alikina O, Markelova N, Kolzhetsov N, Dzhelyadin T, Shcherbakova V, Trubitsyn V, Panyukov V, Zaitsev A, Kiselev S, Shavkunov K, Ozoline O. Lacticaseibacillus paracasei: Occurrence in the Human Gut Microbiota and K-Mer-Based Assessment of Intraspecies Diversity. Life (Basel) 2021; 11:life11111246. [PMID: 34833122 PMCID: PMC8620312 DOI: 10.3390/life11111246] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/11/2021] [Accepted: 11/13/2021] [Indexed: 02/07/2023] Open
Abstract
Alignment-free approaches employing short k-mers as barcodes for individual genomes have created a new strategy for taxonomic analysis and paved a way for high-resolution phylogeny. Here, we introduce this strategy for the Lacticaseibacillus paracasei species as a taxon requiring barcoding support for precise systematics. Using this approach for phylotyping of L. paracasei VKM B-1144 at the genus level, we identified four L. paracasei phylogroups and found that L. casei 12A belongs to one of them, rather than to the L. casei clade. Therefore, we propose to change the specification of this strain. At the genus level we found only one relative of L. paracasei VKM B-1144 among 221 genomes, complete or available in contigs, and showed that the coding potential of the genome of this "rare" strain allows its consideration as a potential probiotic component. Four sets of published metagenomes were used to assess the dependence of L. paracasei presence in the human gut microbiome on chronic diseases, dietary changes and antibiotic treatment. Only antibiotics significantly affected their presence, and strain-specific barcoding allowed the identification of the main scenarios of the adaptive response. Thus, suggesting bacteria of this species for compensatory therapy, we also propose strain-specific barcoding for selecting optimal strains for target microbiomes.
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Affiliation(s)
- Maria Frolova
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Sergey Yudin
- Centre for Strategic Planning of Federal Medical-Biological Agency of Russia, 119121 Moscow, Russia; (S.Y.); (V.M.)
| | - Valentin Makarov
- Centre for Strategic Planning of Federal Medical-Biological Agency of Russia, 119121 Moscow, Russia; (S.Y.); (V.M.)
| | - Olga Glazunova
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Olga Alikina
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Natalia Markelova
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Nikolay Kolzhetsov
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Timur Dzhelyadin
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Viktoria Shcherbakova
- Laboratory of Anaerobic Microorganisms, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Biochemistry and Physiology of Microorganisms of the Russian Academy of Sciences, 142290 Pushchino, Russia; (V.S.); (V.T.)
| | - Vladimir Trubitsyn
- Laboratory of Anaerobic Microorganisms, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Biochemistry and Physiology of Microorganisms of the Russian Academy of Sciences, 142290 Pushchino, Russia; (V.S.); (V.T.)
| | - Valery Panyukov
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
- Institute of Mathematical Problems of Biology RAS—The Branch of Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, 142290 Pushchino, Russia;
| | - Alexandr Zaitsev
- Institute of Mathematical Problems of Biology RAS—The Branch of Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, 142290 Pushchino, Russia;
| | - Sergey Kiselev
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
| | - Konstantin Shavkunov
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
- Correspondence: (K.S.); (O.O.)
| | - Olga Ozoline
- Laboratory of Functional Genomics and Cellular Stress, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Institute of Cell Biophysics of the Russian Academy of Sciences, 142290 Pushchino, Russia; (M.F.); (O.G.); (O.A.); (N.M.); (N.K.); (T.D.); (V.P.); (S.K.)
- Correspondence: (K.S.); (O.O.)
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Markelova N, Glazunova O, Alikina O, Panyukov V, Shavkunov K, Ozoline O. Suppression of Escherichia coli Growth Dynamics via RNAs Secreted by Competing Bacteria. Front Mol Biosci 2021; 8:609979. [PMID: 33937321 PMCID: PMC8082180 DOI: 10.3389/fmolb.2021.609979] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 03/11/2021] [Indexed: 11/13/2022] Open
Abstract
With the discovery of secreted RNAs, it has become apparent that the biological role of regulatory oligonucleotides likely goes beyond the borders of individual cells. However, the mechanisms of their action are still comprehended only in general terms and mainly for eukaryotic microRNAs, which can interfere with mRNAs even in distant recipient cells. It has recently become clear that bacterial cells lacking interference systems can also respond to eukaryotic microRNAs that have targets in their genomes. However, the question of whether bacteria can perceive information transmitted by oligonucleotides secreted by other prokaryotes remained open. Here we evaluated the fraction of short RNAs secreted by Escherichia coli during individual and mixed growth with Rhodospirillum rubrum or Prevotella copri, and found that in the presence of other bacteria E. coli tends to excrete oligonucleotides homologous to alien genomes. Based on this observation, we selected four RNAs secreted by either R. rubrum or P. copri, together with one E. coli-specific oligonucleotide. Both fragments of R. rubrum 23S-RNA suppressed the growth of E. coli. Of the two fragments secreted by P. copri, one abolished the stimulatory effect of E. coli RNA derived from the 3'-UTR of ProA mRNA, while the other inhibited bacterial growth only in the double-stranded state with complementary RNA. The ability of two RNAs secreted by cohabiting bacteria to enter E. coli cells was demonstrated using confocal microscopy. Since selected E. coli-specific RNA also affected the growth of this bacterium, we conclude that bacterial RNAs can participate in inter- and intraspecies signaling.
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Affiliation(s)
- Natalia Markelova
- Laboratory of Functional Genomics and Cellular Stress, Institute of Cell Biophysics of the Russian Academy of Sciences, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia
| | - Olga Glazunova
- Laboratory of Functional Genomics and Cellular Stress, Institute of Cell Biophysics of the Russian Academy of Sciences, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia
| | - Olga Alikina
- Laboratory of Functional Genomics and Cellular Stress, Institute of Cell Biophysics of the Russian Academy of Sciences, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia
| | - Valeriy Panyukov
- Department of Structural and Functional Genomics, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia.,Laboratory of Bioinformatics, Institute of Mathematical Problems of Biology, Pushchino, Russia
| | - Konstantin Shavkunov
- Laboratory of Functional Genomics and Cellular Stress, Institute of Cell Biophysics of the Russian Academy of Sciences, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia.,Department of Structural and Functional Genomics, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia
| | - Olga Ozoline
- Laboratory of Functional Genomics and Cellular Stress, Institute of Cell Biophysics of the Russian Academy of Sciences, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia.,Department of Structural and Functional Genomics, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, Pushchino, Russia
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Bioinformatics Methods in Medical Genetics and Genomics. Int J Mol Sci 2020; 21:ijms21176224. [PMID: 32872128 PMCID: PMC7504073 DOI: 10.3390/ijms21176224] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 02/06/2023] Open
Abstract
Medical genomics relies on next-gen sequencing methods to decipher underlying molecular mechanisms of gene expression. This special issue collects materials originally presented at the “Centenary of Human Population Genetics” Conference-2019, in Moscow. Here we present some recent developments in computational methods tested on actual medical genetics problems dissected through genomics, transcriptomics and proteomics data analysis, gene networks, protein–protein interactions and biomedical literature mining. We have selected materials based on systems biology approaches, database mining. These methods and algorithms were discussed at the Digital Medical Forum-2019, organized by I.M. Sechenov First Moscow State Medical University presenting bioinformatics approaches for the drug targets discovery in cancer, its computational support, and digitalization of medical research, as well as at “Systems Biology and Bioinformatics”-2019 (SBB-2019) Young Scientists School in Novosibirsk, Russia. Selected recent advancements discussed at these events in the medical genomics and genetics areas are based on novel bioinformatics tools.
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