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      Cysteine dependence of Lactobacillus iners is a potential therapeutic target for vaginal microbiota modulation

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          Abstract

          Vaginal microbiota composition affects many facets of reproductive health. Lactobacillus iners-dominant microbial communities are associated with poorer outcomes, including higher risk of bacterial vaginosis (BV), compared with vaginal microbiota rich in Lactobacillus crispatus. Unfortunately, standard-of-care metronidazole therapy for BV typically results in dominance of L. iners, likely contributing to post-treatment relapse. Here we generate an L. iners isolate collection comprising 34 previously unreported isolates from 14 South African with and without BV and 4 previously unreported isolates from 3 US women and we report an associated genome catalog comprising 1,218 vaginal Lactobacillus isolate genomes and metagenome-assembled genomes (MAGs) from >300 women across four continents. We show that, unlike L. crispatus, L. iners growth is dependent on L-cysteine in vitro and we trace this phenotype to the absence of canonical cysteine biosynthesis pathways and a restricted repertoire of cysteine-related transport mechanisms. We further show cysteine concentrations in cervicovaginal lavage samples correlate with Lactobacillus abundance in vivo and that cystine uptake inhibitors selectively inhibit L. iners growth in vitro. Combining an inhibitor with metronidazole promotes L. crispatus dominance of defined BV-like communities in vitro by suppressing L. iners growth. Our findings enable a better understanding of L. iners biology and suggest candidate treatments to modulate the vaginal microbiota to improve reproductive health for women globally.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              QIIME allows analysis of high-throughput community sequencing data.

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                Author and article information

                Journal
                101674869
                44774
                Nat Microbiol
                Nat Microbiol
                Nature microbiology
                2058-5276
                6 August 2023
                March 2022
                03 March 2022
                01 September 2023
                : 7
                : 3
                : 434-450
                Affiliations
                [1 ]Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
                [2 ]Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
                [3 ]Harvard Medical School, Boston, MA, USA.
                [4 ]Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
                [5 ]Department of Chemical Engineering, Northeastern University, Boston, MA, USA.
                [6 ]Harvard College, Harvard University, Cambridge, MA, USA.
                [7 ]Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.
                [8 ]HIV Pathogenesis Programme (HPP), The Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
                [9 ]Massachusetts General Hospital, Boston, MA, USA.
                [10 ]Health Systems Trust, Durban, South Africa.
                [11 ]Africa Health Research Institute (AHRI), Durban, South Africa.
                [12 ]Max Planck Institute for Infection Biology, Berlin, Germany.
                [13 ]Division of Infection and Immunity, University College London, London, United Kingdom.
                [14 ]Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
                [15 ]Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
                [16 ]Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
                [17 ]Present address: Harvard T.H. Chan School of Public Health, Boston, MA, USA.
                [18 ]Present address: Medical Scientist Training Program, Washington University School of Medicine, St. Louis, MO, USA.
                [19 ]Present address: William Carey University College of Osteopathic Medicine, Hattiesburg, MS, USA.
                [20 ]Present address: Department of Biological Sciences, Columbia University, New York, NY, USA.
                [21 ]Present address: Ronald O. Perelman Department of Emergency Medicine, NYU School of Medicine, New York, NY, USA.
                [22 ]Present address: Rishihood University - School of Healthcare, Sonepat, Haryana, India
                Author notes

                Author Contributions

                S.M.B. and D.S.K. conceived the overall study and guided it throughout with input from B.M.W., E.P.B., and C.M.M.; S.M.B., N.A.M., and J.K.R. performed primary bacterial isolations; S.M.B., N.A.M., J.F.F., B.M.W., A.J.M., X.W., N.C., and C.M.M. contributed to media design and production and/or bacterial growth and inhibition experiments; B.M.W. and E.P.B. synthesized labeled glutathione; B.M.W., S.M.B., N.A.M., and E.P.B. designed, performed, and/or analyzed measurements of media composition and isotopic tracing experiments; S.M.B., N.A.M., and J.X. performed nucleic acid extractions and sequencing; S.M.B. performed bacterial 16S rRNA gene sequencing analysis; M.R.H. and D.A.R. performed bacterial isolate genomic and metagenomic sequence analysis and assembly, genome catalog development, and phylogenetic reconstructions; S.M.B., M.R.H., F.A.H., and B.M.W. conceived and/or performed genomic pathway analysis; S.M.B. and A.B.A. performed analysis of in vivo metabolite data; K.L.D., M.D., T.G., F.X.C., T.N., N.I., S.M.B., N.X., M.S.G., and D.S.K. contributed to clinical cohort design, cohort performance, and/or sample acquisition and processing efforts; S.M.B., B.M.W., M.R.H., N.A.M., and D.S.K. wrote the paper, and all authors reviewed, offered input to the writing, and approved the manuscript.

                [* ] Corresponding author Douglas S. Kwon, M.D. Ph.D. Ragon Institute of MGH, MIT, and Harvard, 400 Technology Square, Room 892, Cambridge, MA 02139, dkwon@ 123456mgh.harvard.edu .
                Article
                NIHMS1775954
                10.1038/s41564-022-01070-7
                10473153
                35241796
                5bcd60d6-6d70-4145-b40b-56c75f7892ff

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