Publications by authors named "Daniela S A Goltsman"

Type II CRISPR endonucleases are widely used programmable genome editing tools. Recently, CRISPR-Cas systems with highly compact nucleases have been discovered, including Cas9d (a type II-D nuclease). Here, we report the cryo-EM structures of a Cas9d nuclease (747 amino acids in length) in multiple functional states, revealing a stepwise process of DNA targeting involving a conformational switch in a REC2 domain insertion.

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The vaginal microbiome has been linked to negative health outcomes including preterm birth. Specific taxa, including spp., have been identified as risk factors for these conditions.

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CRISPR-Cas enzymes enable RNA-guided bacterial immunity and are widely used for biotechnological applications including genome editing. In particular, the Class 2 CRISPR-associated enzymes (Cas9, Cas12 and Cas13 families), have been deployed for numerous research, clinical and agricultural applications. However, the immense genetic and biochemical diversity of these proteins in the public domain poses a barrier for researchers seeking to leverage their activities.

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Development of medicines using gene editing has been hampered by enzymological and immunological impediments. We described previously the discovery and characterization of improved, novel gene-editing systems from metagenomic data. In this study, we substantially advance this work with three such gene-editing systems, demonstrating their utility for cell therapy development.

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Article Synopsis
  • - Researchers discovered hundreds of bacteriophage genomes over 200 kilobases, including the largest known at 735 kb, showing that phages can have significantly larger genetic material than previously thought.
  • - Many of these phages possess unique genetic elements, such as previously unidentified CRISPR-Cas systems and various tRNA-related genes, hinting at complex interactions with their bacterial hosts.
  • - The study classifies major groups of these large phages from various ecosystems around the world, suggesting they play a key role in microbial interactions and could influence microbial diversity across different environments.
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Recent studies suggest that the microbiome has an impact on gestational health and outcome. However, characterization of the pregnancy-associated microbiome has largely relied on 16S rRNA gene amplicon-based surveys. Here, we describe an assembly-driven, metagenomics-based, longitudinal study of the vaginal, gut, and oral microbiomes in 292 samples from 10 subjects sampled every three weeks throughout pregnancy.

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Preterm birth (PTB) is the leading cause of neonatal morbidity and mortality. Previous studies have suggested that the maternal vaginal microbiota contributes to the pathophysiology of PTB, but conflicting results in recent years have raised doubts. We conducted a study of PTB compared with term birth in two cohorts of pregnant women: one predominantly Caucasian ( = 39) at low risk for PTB, the second predominantly African American and at high-risk ( = 96).

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Article Synopsis
  • The study investigates the changes in the human microbiota during and after pregnancy, focusing on 49 pregnant women, 15 of whom delivered preterm.
  • Researchers used various modeling techniques to analyze samples collected from different body sites, revealing that microbiota diversity and composition remained stable during pregnancy, but specific community states, like CST 4, were linked to increased preterm birth risks.
  • Post-delivery, most women showed a significant change in their vaginal microbiota with reduced Lactobacillus and increased levels of anaerobes, which persisted for up to a year, raising concerns about maternal health and the potential for future pregnancies.
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Background: Microbial ecologists often employ methods from classical community ecology to analyze microbial community diversity. However, these methods have limitations because microbial communities differ from macro-organismal communities in key ways. This study sought to quantify microbial diversity using methods that are better suited for data spanning multiple domains of life and dimensions of diversity.

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Leptospirillum spp. are widespread members of acidophilic microbial communities that catalyze ferrous iron oxidation, thereby increasing sulfide mineral dissolution rates. These bacteria play important roles in environmental acidification and are harnessed for bioleaching-based metal recovery.

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We analyzed near-complete population (composite) genomic sequences for coexisting acidophilic iron-oxidizing Leptospirillum group II and III bacteria (phylum Nitrospirae) and an extrachromosomal plasmid from a Richmond Mine, Iron Mountain, CA, acid mine drainage biofilm. Community proteomic analysis of the genomically characterized sample and two other biofilms identified 64.6% and 44.

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Deeply sampled community genomic (metagenomic) datasets enable comprehensive analysis of heterogeneity in natural microbial populations. In this study, we used sequence data obtained from the dominant member of a low-diversity natural chemoautotrophic microbial community to determine how coexisting closely related individuals differ from each other in terms of gene sequence and gene content, and to uncover evidence of evolutionary processes that occur over short timescales. DNA sequence obtained from an acid mine drainage biofilm was reconstructed, taking into account the effects of strain variation, to generate a nearly complete genome tiling path for a Leptospirillum group II species closely related to L.

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