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Berlemont R. The supragenic organization of glycoside hydrolase encoding genes reveals distinct strategies for carbohydrate utilization in bacteria. Front Microbiol 2023; 14:1179206. [PMID: 37333644 PMCID: PMC10272396 DOI: 10.3389/fmicb.2023.1179206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 05/09/2023] [Indexed: 06/20/2023] Open
Abstract
Glycoside hydrolases (GHs) are carbohydrate-active enzymes essential for many environmental (e.g., carbon cycling) and biotechnological (e.g., biofuels) processes. The complete processing of carbohydrates by bacteria requires many enzymes acting synergistically. Here, I investigated the clustered or scattered distribution of 406,337 GH-genes and their association with transporter genes identified in 15,640 completely sequenced bacterial genomes. Different bacterial lineages displayed conserved levels of clustered or scattered GH-genes, but overall, the GH-genes clustering was generally higher than in randomized genomes. In lineages with highly clustered GH-genes (e.g., Bacteroides, Paenibacillus), clustered genes shared the same orientation. These codirectional gene clusters potentially facilitate the genes' co-expression by allowing transcriptional read-through and, at least in some cases, forming operons. In several taxa, the GH-genes clustered with distinct types of transporter genes. The type of transporter genes and the distribution of the so-called GH:TR-genes clusters were conserved in selected lineages. Globally, the phylogenetically conserved clustering of the GH-genes with transporter genes highlights the central function of carbohydrate processing across bacterial lineages. In addition, in bacteria with the most identified GH-genes, the genomic adaptations for carbohydrate processing also mirrored the broad environmental origin of the sequenced strains (e.g., soil and mammal gut) suggesting that a combination of evolutionary history and the environment selects for the specific supragenic organization of the GH-genes supporting the carbohydrate processing in bacterial genomes.
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Yu B, Doni Jayavelu N, Battle SL, Mar JC, Schimmel T, Cohen J, Hawkins RD. Single-cell analysis of transcriptome and DNA methylome in human oocyte maturation. PLoS One 2020; 15:e0241698. [PMID: 33152014 PMCID: PMC7643955 DOI: 10.1371/journal.pone.0241698] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 10/20/2020] [Indexed: 12/20/2022] Open
Abstract
Oocyte maturation is a coordinated process that is tightly linked to reproductive potential. A better understanding of gene regulation during human oocyte maturation will not only answer an important question in biology, but also facilitate the development of in vitro maturation technology as a fertility treatment. We generated single-cell transcriptome and used our previously published single-cell methylome data from human oocytes at different maturation stages to investigate how genes are regulated during oocyte maturation, focusing on the potential regulatory role of non-CpG methylation. DNMT3B, a gene encoding a key non-CpG methylation enzyme, is one of the 1,077 genes upregulated in mature oocytes, which may be at least partially responsible for the increased non-CpG methylation as oocytes mature. Non-CpG differentially methylated regions (DMRs) between mature and immature oocytes have multiple binding motifs for transcription factors, some of which bind with DNMT3B and may be important regulators of oocyte maturation through non-CpG methylation. Over 98% of non-CpG DMRs locate in transposable elements, and these DMRs are correlated with expression changes of the nearby genes. Taken together, this data indicates that global non-CpG hypermethylation during oocyte maturation may play an active role in gene expression regulation, potentially through the interaction with transcription factors.
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Affiliation(s)
- Bo Yu
- Department of OBGYN, University of Washington School of Medicine, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
| | - Naresh Doni Jayavelu
- Departments of Medicine and Genome Sciences, University of Washington, School of Medicine, Seattle, Washington, United States of America
| | - Stephanie L. Battle
- Department of OBGYN, University of Washington School of Medicine, Seattle, Washington, United States of America
- Departments of Medicine and Genome Sciences, University of Washington, School of Medicine, Seattle, Washington, United States of America
| | - Jessica C. Mar
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Timothy Schimmel
- Reprogenetics LLC, Livingston, New Jersey, United States of America
| | - Jacques Cohen
- Reprogenetics LLC, Livingston, New Jersey, United States of America
| | - R. David Hawkins
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
- Departments of Medicine and Genome Sciences, University of Washington, School of Medicine, Seattle, Washington, United States of America
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Puccio S, Grillo G, Licciulli F, Severgnini M, Liuni S, Bicciato S, De Bellis G, Ferrari F, Peano C. WoPPER: Web server for Position Related data analysis of gene Expression in Prokaryotes. Nucleic Acids Res 2019; 45:W109-W115. [PMID: 28460063 PMCID: PMC5570229 DOI: 10.1093/nar/gkx329] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/14/2017] [Indexed: 12/26/2022] Open
Abstract
The structural and conformational organization of chromosomes is crucial for gene expression regulation in eukaryotes and prokaryotes as well. Up to date, gene expression data generated using either microarray or RNA-sequencing are available for many bacterial genomes. However, differential gene expression is usually investigated with methods considering each gene independently, thus not taking into account the physical localization of genes along a bacterial chromosome. Here, we present WoPPER, a web tool integrating gene expression and genomic annotations to identify differentially expressed chromosomal regions in bacteria. RNA-sequencing or microarray-based gene expression data are provided as input, along with gene annotations. The user can select genomic annotations from an internal database including 2780 bacterial strains, or provide custom genomic annotations. The analysis produces as output the lists of positionally related genes showing a coordinated trend of differential expression. Graphical representations, including a circular plot of the analyzed chromosome, allow intuitive browsing of the results. The analysis procedure is based on our previously published R-package PREDA. The release of this tool is timely and relevant for the scientific community, as WoPPER will fill an existing gap in prokaryotic gene expression data analysis and visualization tools. WoPPER is open to all users and can be reached at the following URL: https://WoPPER.ba.itb.cnr.it
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Affiliation(s)
- Simone Puccio
- Institute of Biomedical Technologies, National Research Council, Segrate, 20090, Milan, Italy
| | - Giorgio Grillo
- Institute of Biomedical Technologies, National Research Council, 70126, Bari, Italy
| | - Flavio Licciulli
- Institute of Biomedical Technologies, National Research Council, 70126, Bari, Italy
| | - Marco Severgnini
- Institute of Biomedical Technologies, National Research Council, Segrate, 20090, Milan, Italy
| | - Sabino Liuni
- Institute of Biomedical Technologies, National Research Council, 70126, Bari, Italy
| | - Silvio Bicciato
- Department of Life Sciences, Center for Genome Research, University of Modena and Reggio Emilia, 41125, Modena, Italy
| | - Gianluca De Bellis
- Institute of Biomedical Technologies, National Research Council, Segrate, 20090, Milan, Italy
| | - Francesco Ferrari
- IFOM, the FIRC Institute of Molecular Oncology, 20139, Milan, Italy.,Institute of Molecular Genetics, National Research Council, 27100, Pavia, Italy
| | - Clelia Peano
- Institute of Biomedical Technologies, National Research Council, Segrate, 20090, Milan, Italy
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van Meurs JBJ. Osteoarthritis year in review 2016: genetics, genomics and epigenetics. Osteoarthritis Cartilage 2017; 25:181-189. [PMID: 28100422 DOI: 10.1016/j.joca.2016.11.011] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 10/20/2016] [Accepted: 11/02/2016] [Indexed: 02/02/2023]
Abstract
The purpose of this narrative review is to provide an overview of last year's publications in the field of genetics, genomics and epigenetics in the osteoarthritis (OA) field. Major themes arising from a Pubmed search on (epi)genetics in OA were identified. In addition, general developments in the fast evolving field of (epi)genetics are reviewed and relevance for the OA field is summarized. In the last 5 years, a number of genome-wide association studies have identified a modest number of genetic loci associated to OA. Continued functional research into these DNA variants is showing putative biological mechanisms underlying these associations. Over the last year, no additional large genome-wide association studies were published, but there clearly remains much to be discovered in the OA genetic field. A lot of research has been done into the epigenetics of OA over the last year. Several genome-wide screens examining the methylome of osteoarthritic cartilage were done. Pathway analysis confirmed deregulation of developmental and extracellular pathways in OA cartilage. Over the last year many microRNAs (miRNAs) have been identified that potentially play important roles in cartilage homeostasis and/or OA process. Continued research will learn whether these identified miRNAs are truly causal and can be used in clinical applications. Many of the epigenetic findings need further confirmation, but they highlight potential novel pathways involved in cartilage biology and OA.
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Affiliation(s)
- J B J van Meurs
- Department of Internal Medicine, Erasmus MC, 's-Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands.
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From multiple pathogenicity islands to a unique organized pathogenicity archipelago. Sci Rep 2016; 6:27978. [PMID: 27302835 PMCID: PMC4908373 DOI: 10.1038/srep27978] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Accepted: 05/25/2016] [Indexed: 12/24/2022] Open
Abstract
Pathogenicity islands are sets of successive genes in a genome that determine the virulence of a bacterium. In a growing number of studies, bacterial virulence appears to be determined by multiple islands scattered along the genome. This is the case in a family of seven plant pathogens and a human pathogen that, under KdgR regulation, massively secrete enzymes such as pectinases that degrade plant cell wall. Here we show that their multiple pathogenicity islands form together a coherently organized, single “archipelago” at the genome scale. Furthermore, in half of the species, most genes encoding secreted pectinases are expressed from the same DNA strand (transcriptional co-orientation). This genome architecture favors DNA conformations that are conducive to genes spatial co-localization, sometimes complemented by co-orientation. As proteins tend to be synthetized close to their encoding genes in bacteria, we propose that this architecture would favor the efficient funneling of pectinases at convergent points within the cell. The underlying functional hypothesis is that this convergent funneling of the full blend of pectinases constitutes a crucial strategy for successful degradation of the plant cell wall. Altogether, our work provides a new approach to describe and predict, at the genome scale, the full virulence complement.
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