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Yang L, Wu X, Wu G, Wu Y, Li H, Shao B. Association analysis of antibiotic and disinfectant resistome in human and foodborne E. coli in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173888. [PMID: 38866143 DOI: 10.1016/j.scitotenv.2024.173888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/21/2024] [Accepted: 06/08/2024] [Indexed: 06/14/2024]
Abstract
The widespread use of chemical disinfectants and antibiotics poses a major threat to food safety and human health. However, the mechanisms of co-transmission of antimicrobial resistance genes (ARGs) and biocides and metal resistance genes (BMRGs) of foodborne pathogens in the food chain is still unclear. This study isolated 343 E. coli strains from animal-derived foods in Beijing and incorporated online data of human-derived E. coli strains from NCBI. Our results demonstrated a relatively uniform distribution of strains from various regions in Beijing, indicating a lack of region-specific clustering. Additionally, predominant sequence types varied between food- and human-derived strains, suggesting a preference for different hosts and environments. Phenotypic association analysis showed that the chlorine disinfectants peroxides had a significant positive correlation with tetracyclines. Many more ARGs and BMRGs were enriched in human-associated E. coli compared with those in chicken- and pork-origin. The quaternary ammonium compounds (QACs) resistance gene qacEΔ1 had a strong correlation with aminoglycoside resistance gene aadA5, folate pathway antagonist resistance gene dfrA17, sul1 and macrolide resistance gene mph(A). The correlation results indicated a significant association between the copper resistance gene cluster pco and the silver resistance gene cluster sil. Coexistence of many resistance genes was observed within the qacEΔ1 gene structure, with qacEΔ1-sul1 being the most common combination. Our findings demonstrated that the epidemiological spread of resistance is affected by a combination of heavy metals, disinfectants and antibiotic use, suggesting that the prevention and control strategies of antimicrobial resistance need to be multifaceted and comprehensive.
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Affiliation(s)
- Lu Yang
- Shanghai Anti-doping Laboratory, Shanghai University of Sport, Shanghai 200438, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Xuan Wu
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; School of Public Health, Capital Medical University, Beijing 100069, China
| | - Guoquan Wu
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yige Wu
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Hui Li
- Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Bing Shao
- Shanghai Anti-doping Laboratory, Shanghai University of Sport, Shanghai 200438, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China; National Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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2
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Schwab S, Hu Y, van Erp B, Cajili MKM, Hartmann MD, Hernandez Alvarez B, Alva V, Boyle AL, Dame RT. Histones and histone variant families in prokaryotes. Nat Commun 2024; 15:7950. [PMID: 39261503 PMCID: PMC11390915 DOI: 10.1038/s41467-024-52337-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 08/30/2024] [Indexed: 09/13/2024] Open
Abstract
Histones are important chromatin-organizing proteins in eukaryotes and archaea. They form superhelical structures around which DNA is wrapped. Recent studies have shown that some archaea and bacteria contain alternative histones that exhibit different DNA binding properties, in addition to highly divergent sequences. However, the vast majority of these histones are identified in metagenomes and thus are difficult to study in vivo. The recent revolutionary breakthroughs in computational protein structure prediction by AlphaFold2 and RoseTTAfold allow for unprecedented insights into the potential function and structure of previously uncharacterized proteins. Here, we categorize the prokaryotic histone space into 17 distinct groups based on AlphaFold2 predictions. We identify a superfamily of histones, termed α3 histones, which are common in archaea and present in several bacteria. Importantly, we establish the existence of a large family of histones throughout archaea and in some bacteriophages that, instead of wrapping DNA, bridge DNA, thereby diverging from conventional nucleosomal histones.
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Affiliation(s)
- Samuel Schwab
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
- Centre for Microbial Cell Biology, Leiden University, Leiden, The Netherlands
- Centre for Interdisciplinary Genome Research, Leiden University, Leiden, The Netherlands
| | - Yimin Hu
- Department of Protein Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Bert van Erp
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
- Centre for Microbial Cell Biology, Leiden University, Leiden, The Netherlands
- Centre for Interdisciplinary Genome Research, Leiden University, Leiden, The Netherlands
| | - Marc K M Cajili
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
- Centre for Microbial Cell Biology, Leiden University, Leiden, The Netherlands
- Centre for Interdisciplinary Genome Research, Leiden University, Leiden, The Netherlands
| | - Marcus D Hartmann
- Department of Protein Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany
- Interfaculty Institute of Biochemistry, University of Tübingen, Tübingen, Germany
| | - Birte Hernandez Alvarez
- Department of Protein Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Vikram Alva
- Department of Protein Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Aimee L Boyle
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands
- Centre for Microbial Cell Biology, Leiden University, Leiden, The Netherlands
- Centre for Interdisciplinary Genome Research, Leiden University, Leiden, The Netherlands
- School of Chemistry, University of Bristol, Bristol, UK
| | - Remus T Dame
- Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands.
- Centre for Microbial Cell Biology, Leiden University, Leiden, The Netherlands.
- Centre for Interdisciplinary Genome Research, Leiden University, Leiden, The Netherlands.
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3
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Veseli I, DeMers MA, Cooper ZS, Schechter MS, Miller S, Weber L, Smith CB, Rodriguez LT, Schroer WF, McIlvin MR, Lopez PZ, Saito M, Dyhrman S, Eren AM, Moran MA, Braakman R. Digital Microbe: a genome-informed data integration framework for team science on emerging model organisms. Sci Data 2024; 11:967. [PMID: 39232008 PMCID: PMC11374999 DOI: 10.1038/s41597-024-03778-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 08/13/2024] [Indexed: 09/06/2024] Open
Abstract
The remarkable pace of genomic data generation is rapidly transforming our understanding of life at the micron scale. Yet this data stream also creates challenges for team science. A single microbe can have multiple versions of genome architecture, functional gene annotations, and gene identifiers; additionally, the lack of mechanisms for collating and preserving advances in this knowledge raises barriers to community coalescence around shared datasets. "Digital Microbes" are frameworks for interoperable and reproducible collaborative science through open source, community-curated data packages built on a (pan)genomic foundation. Housed within an integrative software environment, Digital Microbes ensure real-time alignment of research efforts for collaborative teams and facilitate novel scientific insights as new layers of data are added. Here we describe two Digital Microbes: 1) the heterotrophic marine bacterium Ruegeria pomeroyi DSS-3 with > 100 transcriptomic datasets from lab and field studies, and 2) the pangenome of the cosmopolitan marine heterotroph Alteromonas containing 339 genomes. Examples demonstrate how an integrated framework collating public (pan)genome-informed data can generate novel and reproducible findings.
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Affiliation(s)
- Iva Veseli
- Helmholtz Institute for Functional Marine Biodiversity, 26129, Oldenburg, Germany
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 27570, Bremerhaven, Germany
| | - Michelle A DeMers
- Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Zachary S Cooper
- Department of Marine Sciences, University of Georgia, Athens, GA, 30602, USA
| | - Matthew S Schechter
- Committee on Microbiology, The University of Chicago, Chicago, IL, 60637, USA
| | - Samuel Miller
- Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, 02543, USA
| | - Laura Weber
- Woods Hole Oceanographic Institution, Falmouth, MA, 02543, USA
| | - Christa B Smith
- Department of Marine Sciences, University of Georgia, Athens, GA, 30602, USA
| | - Lidimarie T Rodriguez
- Department of Microbiology and Cell Science, University of Florida, Gainesville, FL, 32611-0180, USA
| | - William F Schroer
- Department of Marine Sciences, University of Georgia, Athens, GA, 30602, USA
| | | | - Paloma Z Lopez
- Woods Hole Oceanographic Institution, Falmouth, MA, 02543, USA
| | - Makoto Saito
- Woods Hole Oceanographic Institution, Falmouth, MA, 02543, USA
| | - Sonya Dyhrman
- Lamont-Doherty Earth Observatory, and the Department of Earth and Environmental Sciences, Columbia University, New York, NY, 10032, USA
| | - A Murat Eren
- Helmholtz Institute for Functional Marine Biodiversity, 26129, Oldenburg, Germany.
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 27570, Bremerhaven, Germany.
- Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, 02543, USA.
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany.
- Marine 'Omics Bridging Group, Max Planck Institute for Marine Microbiology, 28359, Bremen, Germany.
| | - Mary Ann Moran
- Department of Marine Sciences, University of Georgia, Athens, GA, 30602, USA.
| | - Rogier Braakman
- Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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Wang S, Di Y, Yang Y, Salovska B, Li W, Hu L, Yin J, Shao W, Zhou D, Cheng J, Liu D, Yang H, Liu Y. PTMoreR-enabled cross-species PTM mapping and comparative phosphoproteomics across mammals. CELL REPORTS METHODS 2024:100859. [PMID: 39255793 DOI: 10.1016/j.crmeth.2024.100859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/13/2024] [Accepted: 08/15/2024] [Indexed: 09/12/2024]
Abstract
To support PTM proteomic analysis and annotation in different species, we developed PTMoreR, a user-friendly tool that considers the surrounding amino acid sequences of PTM sites during BLAST, enabling a motif-centric analysis across species. By controlling sequence window similarity, PTMoreR can map phosphoproteomic results between any two species, perform site-level functional enrichment analysis, and generate kinase-substrate networks. We demonstrate that the majority of real P-sites in mice can be inferred from experimentally derived human P-sites with PTMoreR mapping. Furthermore, the compositions of 129 mammalian phosphoproteomes can also be predicted using PTMoreR. The method also identifies cross-species phosphorylation events that occur on proteins with an increased tendency to respond to the environmental factors. Moreover, the classic kinase motifs can be extracted across mammalian species, offering an evolutionary angle for refining current motifs. PTMoreR supports PTM proteomics in non-human species and facilitates quantitative phosphoproteomic analysis.
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Affiliation(s)
- Shisheng Wang
- Department of Pulmonary and Critical Care Medicine, Proteomics-Metabolomics Analysis Platform, and NHC Key Lab of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yi Di
- Yale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Yin Yang
- Department of Pulmonary and Critical Care Medicine, Proteomics-Metabolomics Analysis Platform, and NHC Key Lab of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Barbora Salovska
- Yale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Wenxue Li
- Yale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Liqiang Hu
- Department of Pulmonary and Critical Care Medicine, Proteomics-Metabolomics Analysis Platform, and NHC Key Lab of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jiahui Yin
- Information Research Institute, Tongji University, Shanghai 200092, China
| | - Wenguang Shao
- State Key Laboratory of Microbial Metabolism, School of Life Science & Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Dong Zhou
- Department of Medicine, Division of Nephrology, University of Connecticut School of Medicine, Farmington, CT 06030, USA
| | - Jingqiu Cheng
- Department of Pulmonary and Critical Care Medicine, Proteomics-Metabolomics Analysis Platform, and NHC Key Lab of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Dan Liu
- Department of Pulmonary and Critical Care Medicine, Proteomics-Metabolomics Analysis Platform, and NHC Key Lab of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - Hao Yang
- Department of Pulmonary and Critical Care Medicine, Proteomics-Metabolomics Analysis Platform, and NHC Key Lab of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu 610041, China.
| | - Yansheng Liu
- Yale Cancer Biology Institute, Yale University, West Haven, CT 06516, USA; Department of Pharmacology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Biomedical Informatics & Data Science, Yale Univeristy School of Medicine, New Haven, CT 06510, USA.
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5
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Hatuwal B, Goel V, Deliberto TJ, Lowe J, Emch M, Webby RJ, Wan XF. Spatial patterns of influenza A virus spread across compartments in commercial swine farms in the United States. Emerg Microbes Infect 2024:2400530. [PMID: 39221652 DOI: 10.1080/22221751.2024.2400530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
AbstractMultiple genetic variants of H1 and H3 influenza A viruses (IAVs) circulate concurrently in US swine farms. Understanding the spatial transmission patterns of IAVs among these farms is crucial for developing effective control strategies and mitigating the emergence of novel IAVs. In this study, we analyzed 1,909 IAV genomic sequences from 785 US swine farms, representing 33 farming systems across 12 states, primarily in the Midwest from 2004 to 2023. Bayesian phylogeographic analyses were performed to identify the dispersal patterns of both H1 and H3 virus genetic lineages and to elucidate their spatial migration patterns within and between different systems. Our results showed that both intra-system and inter-system migrations occurred between the swine farms, with intra-system migrations being more frequent. However, migration rates for H1 and H3 IAVs were similar between intra-system and inter-system migration events. Spatial migration patterns aligned with expected pig movement across different compartments of swine farming systems. Sow-Farms were identified as key sources of viruses, with bi-directional migration observed between these farms and other parts of the system, including Wean-to-Finish and Gilt-Development-Units. High intra-system migration was detected across farms in the same region, while spread to geographically distant intra- and inter- system farms was less frequently. These findings suggest that prioritizing resources towards systems frequently confronting influenza problems and targeting pivotal source farms, such as sow farms, could be an effective strategy for controlling influenza in US commercial swine operations.
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Affiliation(s)
- Bijaya Hatuwal
- Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO 652011, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO 65211, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA
| | - Varun Goel
- Department of Epidemiology, University of North Carolina School, Chapel Hill, NC 27127, USA
| | - Thomas J Deliberto
- US Department of Agriculture Animal and Plant Health Inspection Service, Fort Collins, Colorado, USA
| | - Jim Lowe
- Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA
| | - Michael Emch
- Department of Epidemiology, University of North Carolina School, Chapel Hill, NC 27127, USA
- Department of Geography and Environment, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Richard J Webby
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN 63141, USA
| | - Xiu-Feng Wan
- Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO 652011, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO 65211, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO 65211, USA
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6
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Toriño P, Dutel H, Soto M, Norbis W, Ezquerra V, Perea D. Reconstructing an ancient fish: Three-dimensional skeletal restoration of the head of Mawsonia (Sarcopterygii, Actinistia) using CT scan, and an adjusted model for body size estimation in fossil coelacanths. J Anat 2024; 245:467-489. [PMID: 38749764 PMCID: PMC11306766 DOI: 10.1111/joa.14054] [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: 02/11/2024] [Revised: 03/29/2024] [Accepted: 04/22/2024] [Indexed: 08/09/2024] Open
Abstract
Mawsonia constitutes one of the most conspicuous fossil coelacanth taxa, due to its unique anatomy and possible maximum body size. It typifies Mesozoic coelacanth morphology, before the putative disappearance of the group in the fossil record. In this work, the three-dimensional cranial anatomy and body size estimations of this genus are re-evaluated from a recently described specimen from Upper Jurassic deposits of Uruguay. The 3D restoration was performed directly on the material based on anatomical information provided by the living coelacanth Latimeria and previous two-dimensional restorations of the head of Mawsonia. The montage was then scanned with computed tomography and virtually adjusted to generate an interactive online resource for future anatomical, taxonomic and biomechanical research. In general terms, the model constitutes a tool to improve both the anatomical knowledge of this genus and its comparison with other coelacanths. It also facilitates the evaluation of possible evolutionary trends and the discussion of particular features with potential palaeobiological implications, such as the anterior position of the eye and the development of the pseudomaxillary fold. Regarding the body size, a previous model for body size estimation based on the gular plate was submitted to OLS, RMA, segmented linear and PGLS regressions (including the evaluation of regression statistics, variance analysis, t-tests and residual analysis). The results point to a power relationship between gular and total lengths showing a better support than a simple linear relationship. The new resulting equations were applied to the studied individual and are provided for future estimates. Although an isometric evolutionary growth cannot be rejected with the available evidence, additional models developed with other bones will be necessary to evaluate possible hidden evolutionary allometric trends in this group of fishes, thus avoiding overestimates.
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Affiliation(s)
- Pablo Toriño
- Departamento de Paleontología, Facultad de Ciencias, Instituto de Ciencias Geológicas, Universidad de la República, Montevideo, Uruguay
- Centro Universitario Regional Noreste - sede Tacuarembó, Universidad de la República, Tacuarembó, Uruguay
- Sistema Nacional de Investigadores, Uruguay
| | - Hugo Dutel
- Bristol Palaeobiology Group, School of Earth Sciences, University of Bristol, Bristol, UK
- Université de Bordeaux, CNRS, MCC, PACEA, UMR 5199, Pessac, France
- Craniofacial Growth and Form, Hôpital Necker - Enfants Malades, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Matías Soto
- Departamento de Paleontología, Facultad de Ciencias, Instituto de Ciencias Geológicas, Universidad de la República, Montevideo, Uruguay
- Sistema Nacional de Investigadores, Uruguay
| | - Walter Norbis
- Sistema Nacional de Investigadores, Uruguay
- Laboratorio de Fisiología de la Reproducción y Ecología de Peces, Departamento de Biología Animal, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Víctor Ezquerra
- Departamento Clínico de Imagenología, Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay
| | - Daniel Perea
- Departamento de Paleontología, Facultad de Ciencias, Instituto de Ciencias Geológicas, Universidad de la República, Montevideo, Uruguay
- Sistema Nacional de Investigadores, Uruguay
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7
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Sipos D, Kappéter Á, Réger B, Kiss G, Takács N, Farkas R, Kucsera I, Péterfi Z. Confirmed Case of Autochthonous Human Babesiosis, Hungary. Emerg Infect Dis 2024; 30:1972-1974. [PMID: 39174026 PMCID: PMC11346977 DOI: 10.3201/eid3009.240525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2024] Open
Abstract
We report a case of autochthonous human babesiosis in Hungary, confirmed by PCR and partial sequencing of the Babesia spp. 18S rRNA gene. Babesiosis should be considered during the differential diagnosis of febrile illnesses, and peripheral blood smears to detect Babesia spp. should be part of the routine clinical workup.
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8
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Wang T, van Dijk ADJ, Zhao R, Bonnema G, Wang X. Contribution of homoeologous exchange to domestication of polyploid Brassica. Genome Biol 2024; 25:231. [PMID: 39192349 DOI: 10.1186/s13059-024-03370-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 08/10/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Polyploidy is widely recognized as a significant evolutionary force in the plant kingdom, contributing to the diversification of plants. One of the notable features of allopolyploidy is the occurrence of homoeologous exchange (HE) events between the subgenomes, causing changes in genomic composition, gene expression, and phenotypic variations. However, the role of HE in plant adaptation and domestication remains unclear. RESULTS Here we analyze the whole-genome resequencing data from Brassica napus accessions representing the different morphotypes and ecotypes, to investigate the role of HE in domestication. Our findings demonstrate frequent occurrence of HEs in Brassica napus, with substantial HE patterns shared across populations, indicating their potential role in promoting crop domestication. HE events are asymmetric, with the A genome more frequently replacing C genome segments. These events show a preference for specific genomic regions and vary among populations. We also identify candidate genes in HE regions specific to certain populations, which likely contribute to flowering-time diversification across diverse morphotypes and ecotypes. In addition, we assemble a new genome of a swede accession, confirming the HE signals on the genome and their potential involvement in root tuber development. By analyzing HE in another allopolyploid species, Brassica juncea, we characterize a potential broader role of HE in allopolyploid crop domestication. CONCLUSIONS Our results provide novel insights into the domestication of polyploid Brassica species and highlight homoeologous exchange as a crucial mechanism for generating variations that are selected for crop improvement in polyploid species.
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Affiliation(s)
- Tianpeng Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Aalt D J van Dijk
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Ranze Zhao
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guusje Bonnema
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands.
| | - Xiaowu Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
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9
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Feng Y, Yang Y, Hu Y, Xiao Y, Xie Y, Wei L, Wen H, Zhang L, McNally A, Zong Z. Population genomics uncovers global distribution, antimicrobial resistance, and virulence genes of the opportunistic pathogen Klebsiella aerogenes. Cell Rep 2024; 43:114602. [PMID: 39137112 PMCID: PMC11372444 DOI: 10.1016/j.celrep.2024.114602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 06/13/2024] [Accepted: 07/23/2024] [Indexed: 08/15/2024] Open
Abstract
Klebsiella aerogenes is an understudied and clinically important pathogen. We therefore investigate its population structure by genome analysis aligned with metadata. We sequence 130 non-duplicated K. aerogenes clinical isolates and identify two inter-patient transmission events. We then retrieve all publicly available K. aerogenes genomes (n = 1,026, accessed by January 1, 2023) and analyze them with our 130 genomes. We develop a core-genome multi-locus sequence-typing scheme. We find that K. aerogenes is a species complex comprising four phylogroups undergoing evolutionary divergence, likely forming three species. We delineate remarkable clonal diversity and identify three worldwide-distributed carbapenemase-encoding clonal clusters, representing high-risk lineages. We uncover that K. aerogenes has an open genome equipped by a large arsenal of antimicrobial resistance genes. We identify two genetic regions specific for K. aerogenes, encoding a type VI secretion system and flagella/chemotaxis for motility, respectively, both contributing to the virulence. These results provide much-needed insights into the population structure and pan-genomes of K. aerogenes.
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Affiliation(s)
- Yu Feng
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China; Center for Pathogen Research, West China Hospital, Sichuan University, Chengdu, China
| | - Yongqiang Yang
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China; Center for Pathogen Research, West China Hospital, Sichuan University, Chengdu, China
| | - Ya Hu
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China; Center for Pathogen Research, West China Hospital, Sichuan University, Chengdu, China
| | - Yuling Xiao
- Laboratory of Clinical Microbiology, Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Xie
- Laboratory of Clinical Microbiology, Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Li Wei
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu, China
| | - Hongxia Wen
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China; Center for Pathogen Research, West China Hospital, Sichuan University, Chengdu, China
| | - Linwan Zhang
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China
| | - Alan McNally
- Institute of Microbiology and Infection, College of Medical and Dental Science, University of Birmingham, Birmingham, UK
| | - Zhiyong Zong
- Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China; Center for Pathogen Research, West China Hospital, Sichuan University, Chengdu, China.
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10
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Salazar R, Brunker K, Díaz EW, Zegarra E, Monroy Y, Baldarrago GN, Borrini-Mayorí K, De la Puente-León M, Kasaragod S, Levy MZ, Hampson K, Castillo-Neyra R. Genomic Characterization of a Dog-Mediated Rabies Outbreak in El Pedregal, Arequipa, Peru. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.21.608982. [PMID: 39229209 PMCID: PMC11370554 DOI: 10.1101/2024.08.21.608982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Background Rabies, a re-emerging zoonosis with the highest known human case fatality rate, has been largely absent from Peru, except for endemic circulation in the Puno region on the Bolivian border and re-emergence in Arequipa City in 2015, where it has persisted. In 2021, an outbreak occurred in the rapidly expanding city of El Pedregal near Arequipa, followed by more cases in 2022 after nearly a year of epidemiological silence. While currently under control, questions persist regarding the origin of the El Pedregal outbreak and implications for maintaining rabies control in Peru. Methods We sequenced 25 dog rabies virus (RABV) genomes from the El Pedregal outbreak (n=11) and Arequipa City (n=14) from 2021-2023 using Nanopore sequencing in Peru. Historical genomes from Puno (n=4, 2010-2012) and Arequipa (n=5, 2015-2019), were sequenced using an Illumina approach in the UK. In total, 34 RABV genomes were analyzed, including archived and newly obtained samples. The genomes were analyzed phylogenetically to understand the outbreak's context and origins. Results Phylogenomic analysis identified two genetic clusters in El Pedregal: 2021 cases stemmed from a single introduction unrelated to Arequipa cases, while the 2022 sequence suggested a new introduction from Arequipa rather than persistence. In relation to canine RABV diversity in Latin America, all new sequences belonged to a new minor clade, Cosmopolitan Am5, sharing relatives from Bolivia, Argentina, and Brazil. Conclusion Genomic insights into the El Pedregal outbreak revealed multiple introductions over a 2-year window. Eco-epidemiological conditions, including migratory worker patterns, suggest human-mediated movement drove introductions. Despite outbreak containment, El Pedregal remains at risk of dog-mediated rabies due to ongoing circulation in Arequipa, Puno, and Bolivia. Human-mediated movement of dogs presents a major risk for rabies re-emergence in Peru, jeopardizing regional dog-mediated rabies control. Additional sequence data is needed for comprehensive phylogenetic analyses.
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Affiliation(s)
- Renzo Salazar
- Zoonotic Disease Research Lab, One Health Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Kirstyn Brunker
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
- The Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, United Kingdom
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Elvis W Díaz
- Zoonotic Disease Research Lab, One Health Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Edith Zegarra
- Laboratorio de Referencia Regional de la Gerencia Regional de Salud de Arequipa, Arequipa, Perú
| | - Ynes Monroy
- Laboratorio de Referencia Regional de la Gerencia Regional de Salud de Arequipa, Arequipa, Perú
| | | | - Katty Borrini-Mayorí
- Zoonotic Disease Research Lab, One Health Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Micaela De la Puente-León
- Zoonotic Disease Research Lab, One Health Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Sandeep Kasaragod
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Michael Z Levy
- Zoonotic Disease Research Lab, One Health Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Perú
- Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine at University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Katie Hampson
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
- The Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, United Kingdom
| | - Ricardo Castillo-Neyra
- Zoonotic Disease Research Lab, One Health Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Perú
- Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine at University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Wang D, Chen G, Li L, Wen S, Xie Z, Luo X, Zhan L, Xu S, Li J, Wang R, Wang Q, Yu G. Reducing language barriers, promoting information absorption, and communication using fanyi. Chin Med J (Engl) 2024; 137:1950-1956. [PMID: 39039634 PMCID: PMC11332769 DOI: 10.1097/cm9.0000000000003242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Indexed: 07/24/2024] Open
Abstract
ABSTRACT Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, the fanyi package offers tools to retrieve gene information from sources like National Center for Biotechnology Information (NCBI), significantly enhancing accessibility. Additionally, understanding the latest research advancements and sharing achievements are crucial for junior researchers. However, language barriers often restrict knowledge absorption and career development. To address these challenges, we developed the fanyi package, which leverages artificial intelligence (AI)-driven online translation services to accurately translate among multiple languages. This dual functionality allows researchers to quickly capture and comprehend information, promotes a multilingual environment, and fosters innovation in academic community. Meanwhile, the translation functions are versatile and applicable beyond biomedicine research to other domains as well. The fanyi package is freely available at https://github.com/YuLab-SMU/fanyi .
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Affiliation(s)
- Difei Wang
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Guannan Chen
- Comprehensive Technology Center of Lianyungang Customs, Lianyungang, Jiangsu 222042, China
| | - Lin Li
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Shaodi Wen
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
- Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital, Nanjing, Jiangsu 210009, China
| | - Zijing Xie
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Xiao Luo
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Li Zhan
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Shuangbin Xu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
- Department of Laboratory Medicine, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Junrui Li
- Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Rui Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Qianwen Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Guangchuang Yu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
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12
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Graña-Miraglia L, Geney Higuita JL, Salazar JC, Guaya Iñiguez D, Alcolado León C, García-Angulo VA. Total substitution and partial modification of the set of non-ribosomal peptide synthetases clusters lead to pyoverdine diversity in the Pseudomonas fluorescens complex. Front Microbiol 2024; 15:1421749. [PMID: 39224222 PMCID: PMC11366639 DOI: 10.3389/fmicb.2024.1421749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
Pyoverdines are high affinity siderophores produced by most Pseudomonas with a wide role in microbial interspecies interactions. They are primarily composed of a conserved chromophore moiety, an acyl side chain and a peptide backbone which may be highly variable among strains. Upon ferric iron sequestration, pyoverdines are internalized through specialized receptors. The peptide precursor of pyoverdine, termed ferribactin, is synthesized by a set of non-ribosomal peptide synthetase (NRPS) enzymes and further modified by tailoring enzymes. While PvdL, the NRPS responsible for the synthesis of the peptide moiety that derives into the chromophore is conserved, the NRPSs for the peptide backbone are different across fluorescent Pseudomonas. Although the variation of pyoverdine is a widely recognized characteristic within the genus, the evolutionary events associated with the diversity and distribution of this trait remain mostly unknown. This study analyzed the NRPSs clusters for the biosynthesis of the peptide backbone of ferribactin in the genomes of a representative subset of strains of the Pseudomonas fluorescens complex. Bioinformatic analysis of the specificity of adenylation domains of the NRPSs allowed the prediction of 30 different pyoverdine variants. Phylogenetic reconstruction and mapping of the NRPS clusters pinpointed two different general levels of modifications. In the first level, a complete replacement of the set of NRPRs by horizontal transfer occurs. In the second level, the original set of NRPSs is modified through different mechanisms, including partial substitution of the NRPS genes by horizontal transfer, adenylation domain specificity change or NRPS accessory domain gain/loss.
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Affiliation(s)
- Lucía Graña-Miraglia
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Jorge Luis Geney Higuita
- Bacterial Metabolism Laboratory, Instituto de Ciencias Biomédicas, Microbiology and Mycology Program, University of Chile, Santiago, Chile
| | - Juan Carlos Salazar
- Laboratory of Enteropathogens, Instituto de Ciencias Biomédicas, Microbiology and Mycology Program, University of Chile, Santiago, Chile
| | - Diana Guaya Iñiguez
- Bacterial Metabolism Laboratory, Instituto de Ciencias Biomédicas, Microbiology and Mycology Program, University of Chile, Santiago, Chile
| | - Carlos Alcolado León
- Bacterial Metabolism Laboratory, Instituto de Ciencias Biomédicas, Microbiology and Mycology Program, University of Chile, Santiago, Chile
| | - Víctor A. García-Angulo
- Bacterial Metabolism Laboratory, Instituto de Ciencias Biomédicas, Microbiology and Mycology Program, University of Chile, Santiago, Chile
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13
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Plender EG, Prodanov T, Hsieh P, Nizamis E, Harvey WT, Sulovari A, Munson KM, Kaufman EJ, O'Neal WK, Valdmanis PN, Marschall T, Bloom JD, Eichler EE. Structural and genetic diversity in the secreted mucins MUC5AC and MUC5B. Am J Hum Genet 2024; 111:1700-1716. [PMID: 38991590 PMCID: PMC11344006 DOI: 10.1016/j.ajhg.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 07/13/2024] Open
Abstract
The secreted mucins MUC5AC and MUC5B are large glycoproteins that play critical defensive roles in pathogen entrapment and mucociliary clearance. Their respective genes contain polymorphic and degenerate protein-coding variable number tandem repeats (VNTRs) that make the loci difficult to investigate with short reads. We characterize the structural diversity of MUC5AC and MUC5B by long-read sequencing and assembly of 206 human and 20 nonhuman primate (NHP) haplotypes. We find that human MUC5B is largely invariant (5,761-5,762 amino acids [aa]); however, seven haplotypes have expanded VNTRs (6,291-7,019 aa). In contrast, 30 allelic variants of MUC5AC encode 16 distinct proteins (5,249-6,325 aa) with cysteine-rich domain and VNTR copy-number variation. We group MUC5AC alleles into three phylogenetic clades: H1 (46%, ∼5,654 aa), H2 (33%, ∼5,742 aa), and H3 (7%, ∼6,325 aa). The two most common human MUC5AC variants are smaller than NHP gene models, suggesting a reduction in protein length during recent human evolution. Linkage disequilibrium and Tajima's D analyses reveal that East Asians carry exceptionally large blocks with an excess of rare variation (p < 0.05) at MUC5AC. To validate this result, we use Locityper for genotyping MUC5AC haplogroups in 2,600 unrelated samples from the 1000 Genomes Project. We observe a signature of positive selection in H1 among East Asians and a depletion of the likely ancestral haplogroup (H3). In Europeans, H3 alleles show an excess of common variation and deviate from Hardy-Weinberg equilibrium (p < 0.05), consistent with heterozygote advantage and balancing selection. This study provides a generalizable strategy to characterize complex protein-coding VNTRs for improved disease associations.
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Affiliation(s)
- Elizabeth G Plender
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Timofey Prodanov
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany; Center for Digital Medicine, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - PingHsun Hsieh
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Genetics, Cell Biology, and Development, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Evangelos Nizamis
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Computational Biology, Cajal Neuroscience Inc, Seattle, WA 98102, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Eli J Kaufman
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Wanda K O'Neal
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Paul N Valdmanis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany; Center for Digital Medicine, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Jesse D Bloom
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Howard Hughes Medical Institute, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
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14
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Hesketh-Best PJ, Fowler PD, Odogwu NM, Milbrath MO, Schroeder DC. Sacbrood viruses and select Lake Sinai virus variants dominated Apis mellifera colonies symptomatic for European foulbrood. Microbiol Spectr 2024; 12:e0065624. [PMID: 38980019 PMCID: PMC11302354 DOI: 10.1128/spectrum.00656-24] [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: 03/11/2024] [Accepted: 06/05/2024] [Indexed: 07/10/2024] Open
Abstract
European foulbrood (EFB) is a prevalent disease in the European honey bee (Apis mellifera) in the United States, which can lead to colony decline and collapse. The bacterial components of EFB are well-studied, but the diversity of viral infections within infected colonies has not been explored. In this study, we use meta-transcriptomics sequencing of 12 honey bee hives, symptomatic (+, n = 6) and asymptomatic (-, n = 6) for EFB, to investigate viral infection associated with the disease. We assembled 41 viral genomes, belonging to three families (Iflaviridae, Dicistroviridae, and Sinhaliviridae), all previously reported in honey bees, including Lake Sinai virus, deformed wing virus, sacbrood virus, Black queen cell virus, and Israeli acute paralysis virus. In colonies with severe EFB, we observed a higher occurrence of viral genomes (34 genomes) in contrast to fewer recovered from healthy colonies (seven genomes) and a complete absence of Dicistroviridae genomes.We observed specific Lake Sinai virus clades associated exclusively with EFB + or EFB - colonies, in addition to EFB-afflicted colonies that exhibited an increase in relative abundance of sacbrood viruses. Multivariate analyses highlighted that a combination of site and EFB disease status influenced RNA virome composition, while EFB status alone did not significantly impact it, presenting a challenge for comparisons between colonies kept in different yards. These findings contribute to the understanding of viral dynamics in honey bee colonies compromised by EFB and underscore the need for future investigations to consider viral composition when investigating EFB.IMPORTANCEThis study on the viromes of honey bee colonies affected by European foulbrood (EFB) sheds light on the dynamics of viral populations in bee colonies in the context of a prevalent bacterial brood disease. The identification of distinct Lake Sinai virus and sacbrood virus clades associated with colonies affected by severe EFB suggests a potential connection between viral composition and disease status, emphasizing the need for further investigation into the role of viruses during EFB infection. The observed increase in sacbrood viruses during EFB infection suggests a potential viral dysbiosis, with potential implications for honey bee brood health. These findings contribute valuable insights related to beekeeping practices, offering a foundation for future research aimed at understanding and mitigating the impact of bacterial and viral infection in commercial honey bee operations and the management of EFB.
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Affiliation(s)
- Poppy J. Hesketh-Best
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA
| | - Peter D. Fowler
- Department of Comparative Medicine and Integrative Biology, Michigan State University, East Lansing, Michigan, USA
| | - Nkechi M. Odogwu
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA
| | - Meghan O. Milbrath
- Department of Entomology, Michigan State University, Pollinator Performance Center, Lansing, Michigan, USA
| | - Declan C. Schroeder
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA
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15
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Haruda A, Mazzucato C, Yeomans L. On the wing: Morphological variation in the osteology of Mediterranean, Near Eastern, and European Anatidae (excluding Anserinae). J Morphol 2024; 285:e21750. [PMID: 39032031 DOI: 10.1002/jmor.21750] [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: 04/18/2024] [Revised: 06/25/2024] [Accepted: 06/29/2024] [Indexed: 07/22/2024]
Abstract
Accurate identification of waterfowl bones in archaeological and fossil assemblages has potential to unlock new methods of past environmental reconstruction, as species have differing habitat preferences and migration patterns. Therefore, identifying the presence of avian species with different ecological niches is key to determining past environments and ultimately how prehistoric people responded to climatic and environmental realignments. However, the identification of osteological remains of waterbirds such as ducks to species level is notoriously challenging. We address this by presenting a new two-dimensional geometric morphometric protocol on wing elements from over 20 duck species and test the utility of these shape data for correct species identification. This is an ideal starting point to expand utilization of these types of approaches in avifaunal research and test applicability to an extremely difficult taxonomic group.
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Affiliation(s)
- Ashleigh Haruda
- Department of Cross-Cultural and Regional Studies, University of Copenhagen, Copenhagen, Denmark
- Research Laboratory for Archaeology and the History of Art, School of Archaeology, University of Oxford, Oxford, UK
| | - Camilla Mazzucato
- Department of Cross-Cultural and Regional Studies, University of Copenhagen, Copenhagen, Denmark
| | - Lisa Yeomans
- Department of Cross-Cultural and Regional Studies, University of Copenhagen, Copenhagen, Denmark
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Alcantara DMC, Dos Santos CM, Torres JM, Stutz C, Vieira CA, Moreira RMDS, Rodrigues R, Marcon GEB, Ferreira EDC, Mendes FML, Sarti ECFB, de Oliveira TF, Lemos EF, Andrade UV, Lichs GGDC, Demarchi LHF, Zardin MCSU, Gonçalves CCM, Guilhermino JDF, Fernandez ZDC. Long-term surveillance of SARS-CoV-2 in the school community from Campo Grande, Brazil. BMC Public Health 2024; 24:2057. [PMID: 39085807 PMCID: PMC11290088 DOI: 10.1186/s12889-024-19555-x] [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: 02/27/2024] [Accepted: 07/22/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic has significantly impacted education systems worldwide, with Brazil being one of the countries with the longest school closures. Over a million children and teenagers have been affected, leading to increased hunger and nutritional deficiencies. This study aimed to implement long-term surveillance of SARS-CoV-2 infections in public and private schools in Campo Grande, Brazil, after returning to in-person classes. METHODS The study involved testing and genomic surveillance at 23 public and private schools in Campo Grande, Mato Grosso do Sul, Brazil, from October 18, 2021 to November 21, 2022. The participants eligible for enrollment were students aged 6-17 years and staff members from school institutions. At the time of collection, participants were asked if they had symptoms in the last two weeks. Whole-genome sequencing of SARS-CoV-2 was conducted to identify circulating variants and to compare them with those detected in the municipality. The demographic data and clinical history of the participants were described, and a logistic regression model was used to understand how the RT-qPCR results could be related to different characteristics. RESULTS The study included 999 participants, most of whom were women. A total of 85 tests were positive, with an overall positivity rate of 3.2%. The dynamics of case frequency were consistent with those observed in the municipality during the study period. The most common symptoms reported were cough, rhinorrhea, headache, and sore throat. Symptoms were significantly associated with SARS-CoV-2 infection. Eleven lineages were identified in school community samples, with a frequency of occurrence per period similar to that found in the sequences available for the municipality. The most prevalent lineages within the sampling period were BA.2 (59.3%) and BA.5 (29.6%). CONCLUSIONS Our findings demonstrate that schools can play a crucial role in epidemiological surveillance, helping trigger rapid responses to pathogens such as SARS-CoV-2. Long-term surveillance can be used to track outbreaks and assess the role of children and adults in transmission. It can also contribute to pandemic preparedness, enabling a rapid response to emergencies, such as COVID-19.
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Affiliation(s)
| | - Camila Maria Dos Santos
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
| | - Jaire Marinho Torres
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
| | - Claudia Stutz
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
- Programa de Pós-Graduação em Ciências Farmacêuticas, Faculdade de Ciências Farmacêuticas, Alimentos e Nutrição (FACFAN), Fundação Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, Mato Grosso do Sul, Brazil
| | - Camila Aoyama Vieira
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
| | - Raissa Mariele Dos Santos Moreira
- Instituto Integrado de Saúde (INISA), Fundação Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, Mato Grosso do Sul, Brazil
| | - Rudielle Rodrigues
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
| | | | - Eduardo de Castro Ferreira
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
- Programa de Pós-graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina (FAMED), Fundação Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, Mato Grosso do Sul, Brazil
| | - Flavia Maria Lins Mendes
- FIOCRUZ Mato Grosso do Sul, Fundação Oswaldo Cruz (FIOCRUZ), Campo Grande, Mato Grosso do Sul, Brazil
| | | | | | - Everton Ferreira Lemos
- Universidade Estadual de Mato Grosso do Sul (UEMS), Campo Grande, Mato Grosso do Sul, Brazil
| | | | - Gislene Garcia de Castro Lichs
- Laboratório Central de Saúde Pública do Estado de Mato Grosso do Sul (LACEN/MS), Campo Grande, Mato Grosso do Sul, Brazil
| | - Luiz Henrique Ferraz Demarchi
- Programa de Pós-graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina (FAMED), Fundação Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, Mato Grosso do Sul, Brazil
- Laboratório Central de Saúde Pública do Estado de Mato Grosso do Sul (LACEN/MS), Campo Grande, Mato Grosso do Sul, Brazil
| | | | - Crhistinne Cavalheiro Maymone Gonçalves
- Programa de Pós-graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina (FAMED), Fundação Universidade Federal de Mato Grosso do Sul (UFMS), Campo Grande, Mato Grosso do Sul, Brazil
- Secretaria de Estado de Saúde de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil
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Jia Z, Wei Y, Zhang Y, Song K, Yuan J. Metabolic reprogramming and heterogeneity during the decidualization process of endometrial stromal cells. Cell Commun Signal 2024; 22:385. [PMID: 39080628 PMCID: PMC11290078 DOI: 10.1186/s12964-024-01763-y] [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: 05/10/2024] [Accepted: 07/23/2024] [Indexed: 08/02/2024] Open
Abstract
The human endometrial decidualization is a transformative event in the pregnant uterus that involves the differentiation of stromal cells into decidual cells. While crucial to the establishment of a successful pregnancy, the metabolic characteristics of decidual cells in vivo remain largely unexplored. Here, we integrated the single-cell RNA sequencing (scRNA-seq) datasets on the endometrium of the menstrual cycle and the maternal-fetal interface in the first trimester to comprehensively decrypt the metabolic characteristics of stromal fibroblast cells. Our results revealed that the differentiation of stromal cells into decidual cells is accompanied by increased amino acid and sphingolipid metabolism. Furthermore, metabolic heterogeneity exists in decidual cells with differentiation maturity disparities. Decidual cells with high metabolism exhibit higher cellular activity and show a strong propensity for signaling. In addition, significant metabolic reprogramming in amino acids and lipids also occurs during the transition from non-pregnancy to pregnancy in the uteri of pigs, cattle, and mice. Our analysis provides comprehensive insights into the dynamic landscape of stromal fibroblast cell metabolism, contributing to our understanding of the metabolism at the molecular dynamics underlying the decidualization process in the human endometrium.
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Affiliation(s)
- Zhaoyu Jia
- Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yuan Wei
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Ye Zhang
- Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Kun Song
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
| | - Jia Yuan
- Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
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18
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Han ML, Alsaadi Y, Zhao J, Zhu Y, Lu J, Jiang X, Ma W, Patil NA, Dunstan RA, Le Brun AP, Wickremasinghe H, Hu X, Wu Y, Yu HH, Wang J, Barlow CK, Bergen PJ, Shen HH, Lithgow T, Creek DJ, Velkov T, Li J. Arginine catabolism is essential to polymyxin dependence in Acinetobacter baumannii. Cell Rep 2024; 43:114410. [PMID: 38923457 PMCID: PMC11338987 DOI: 10.1016/j.celrep.2024.114410] [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: 11/03/2023] [Revised: 02/03/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Polymyxins are often the only effective antibiotics against the "Critical" pathogen Acinetobacter baumannii. Worryingly, highly polymyxin-resistant A. baumannii displaying dependence on polymyxins has emerged in the clinic, leading to diagnosis and treatment failures. Here, we report that arginine metabolism is essential for polymyxin-dependent A. baumannii. Specifically, the arginine degradation pathway was significantly altered in polymyxin-dependent strains compared to wild-type strains, with critical metabolites (e.g., L-arginine and L-glutamate) severely depleted and expression of the astABCDE operon significantly increased. Supplementation of arginine increased bacterial metabolic activity and suppressed polymyxin dependence. Deletion of astA, the first gene in the arginine degradation pathway, decreased phosphatidylglycerol and increased phosphatidylethanolamine levels in the outer membrane, thereby reducing the interaction with polymyxins. This study elucidates the molecular mechanism by which arginine metabolism impacts polymyxin dependence in A. baumannii, underscoring its critical role in improving diagnosis and treatment of life-threatening infections caused by "undetectable" polymyxin-dependent A. baumannii.
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Affiliation(s)
- Mei-Ling Han
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia.
| | - Yasser Alsaadi
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Jinxin Zhao
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Yan Zhu
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Jing Lu
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Xukai Jiang
- National Glycoengineering Research Centre, Shandong University, Qingdao 266237, China
| | - Wendong Ma
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Nitin A Patil
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Rhys A Dunstan
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Anton P Le Brun
- Australian Centre for Neutron Scattering, Australian Nuclear Science and Technology Organisation, Locked Bag 2001, Kirrawee DC, NSW 2232, Australia
| | - Hasini Wickremasinghe
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Xiaohan Hu
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Yimin Wu
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Heidi H Yu
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Jiping Wang
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Christopher K Barlow
- Monash Proteomics and Metabolomics Facility, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Phillip J Bergen
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Hsin-Hui Shen
- Department of Materials Science and Engineering, Faculty of Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Trevor Lithgow
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia
| | - Darren J Creek
- Monash Proteomics and Metabolomics Facility, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC 3052, Australia
| | - Tony Velkov
- Department of Pharmacology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Jian Li
- Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Centre to Impact AMR, Monash University, Clayton, VIC 3800, Australia.
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19
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Wang S, Liu Y, Tam WH, Ching JYL, Xu W, Yan S, Qin B, Lin L, Peng Y, Zhu J, Cheung CP, Ip KL, Wong YM, Cheong PK, Yeung YL, Kan WHB, Leung TF, Leung TY, Chang EB, Rubin DT, Claud EC, Wu WKK, Tun HM, Chan FKL, Ng SC, Zhang L. Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring. Cell Host Microbe 2024; 32:1192-1206.e5. [PMID: 38955186 DOI: 10.1016/j.chom.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 05/02/2024] [Accepted: 06/05/2024] [Indexed: 07/04/2024]
Abstract
The impact of gestational diabetes mellitus (GDM) on maternal or infant microbiome trajectory remains poorly understood. Utilizing large-scale longitudinal fecal samples from 264 mother-baby dyads, we present the gut microbiome trajectory of the mothers throughout pregnancy and infants during the first year of life. GDM mothers had a distinct microbiome diversity and composition during the gestation period. GDM leaves fingerprints on the infant's gut microbiome, which are confounded by delivery mode. Further, Clostridium species positively correlate with a larger head circumference at month 12 in male offspring but not females. The gut microbiome of GDM mothers with male fetuses displays depleted gut-brain modules, including acetate synthesis I and degradation and glutamate synthesis II. The gut microbiome of female infants of GDM mothers has higher histamine degradation and dopamine degradation. Together, our integrative analysis indicates that GDM affects maternal and infant gut composition, which is associated with sexually dimorphic infant head growth.
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Affiliation(s)
- Shilan Wang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingzhi Liu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Wing Hung Tam
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessica Y L Ching
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenye Xu
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shuai Yan
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Biyan Qin
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Ling Lin
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Ye Peng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jie Zhu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Chun Pan Cheung
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ka Long Ip
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuen Man Wong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pui Kuan Cheong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuk Ling Yeung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wing Him Betty Kan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ting Fan Leung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eugene B Chang
- Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL 60637, USA
| | - David T Rubin
- Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL 60637, USA
| | - Erika C Claud
- Departments of Pediatrics and Medicine, Pritzker School of Medicine/Biological Sciences Division, University of Chicago, Chicago, IL 60637, USA
| | - William K K Wu
- Department of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hein M Tun
- Microbiota I-Center (MagIC), Hong Kong SAR, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Francis K L Chan
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Siew C Ng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; State Key Laboratory of Digestive Disease Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Lin Zhang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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20
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Zachariasen T, Russel J, Petersen C, Vestergaard GA, Shah S, Atienza Lopez P, Passali M, Turvey SE, Sørensen SJ, Lund O, Stokholm J, Brejnrod A, Thorsen J. MAGinator enables accurate profiling of de novo MAGs with strain-level phylogenies. Nat Commun 2024; 15:5734. [PMID: 38977664 PMCID: PMC11231285 DOI: 10.1038/s41467-024-49958-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 06/21/2024] [Indexed: 07/10/2024] Open
Abstract
Metagenomic sequencing has provided great advantages in the characterisation of microbiomes, but currently available analysis tools lack the ability to combine subspecies-level taxonomic resolution and accurate abundance estimation with functional profiling of assembled genomes. To define the microbiome and its associations with human health, improved tools are needed to enable comprehensive understanding of the microbial composition and elucidation of the phylogenetic and functional relationships between the microbes. Here, we present MAGinator, a freely available tool, tailored for profiling of shotgun metagenomics datasets. MAGinator provides de novo identification of subspecies-level microbes and accurate abundance estimates of metagenome-assembled genomes (MAGs). MAGinator utilises the information from both gene- and contig-based methods yielding insight into both taxonomic profiles and the origin of genes and genetic content, used for inference of functional content of each sample by host organism. Additionally, MAGinator facilitates the reconstruction of phylogenetic relationships between the MAGs, providing a framework to identify clade-level differences.
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Affiliation(s)
- Trine Zachariasen
- Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark.
| | - Jakob Russel
- Department of Biology, Section of Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Charisse Petersen
- Department of Pediatrics, BC Children's Hospital, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, Canada
| | - Gisle A Vestergaard
- Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark
| | - Shiraz Shah
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Pablo Atienza Lopez
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet-Glostrup, Glostrup, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Moschoula Passali
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Rigshospitalet-Glostrup, Glostrup, Denmark
| | - Stuart E Turvey
- Department of Pediatrics, BC Children's Hospital, University of British Columbia, 950 West 28th Avenue, Vancouver, BC, Canada
| | - Søren J Sørensen
- Department of Biology, Section of Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Ole Lund
- Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark
| | - Jakob Stokholm
- Department of Biology, Section of Microbiology, University of Copenhagen, Copenhagen, Denmark
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Asker Brejnrod
- Department of Health and Technology, Section of Bioinformatics, Technical University of Denmark, Lyngby, Denmark
| | - Jonathan Thorsen
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
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21
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North HL, Fu Z, Metz R, Stull MA, Johnson CD, Shirley X, Crumley K, Reisig D, Kerns DL, Gilligan T, Walsh T, Jiggins CD, Sword GA. Rapid Adaptation and Interspecific Introgression in the North American Crop Pest Helicoverpa zea. Mol Biol Evol 2024; 41:msae129. [PMID: 38941083 PMCID: PMC11259193 DOI: 10.1093/molbev/msae129] [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: 09/19/2023] [Revised: 06/12/2024] [Accepted: 06/14/2024] [Indexed: 06/29/2024] Open
Abstract
Insect crop pests threaten global food security. This threat is amplified through the spread of nonnative species and through adaptation of native pests to control measures. Adaptations such as pesticide resistance can result from selection on variation within a population, or through gene flow from another population. We investigate these processes in an economically important noctuid crop pest, Helicoverpa zea, which has evolved resistance to a wide range of pesticides. Its sister species Helicoverpa armigera, first detected as an invasive species in Brazil in 2013, introduced the pyrethroid-resistance gene CYP337B3 to South American H. zea via adaptive introgression. To understand whether this could contribute to pesticide resistance in North America, we sequenced 237 H. zea genomes across 10 sample sites. We report H. armigera introgression into the North American H. zea population. Two individuals sampled in Texas in 2019 carry H. armigera haplotypes in a 4 Mbp region containing CYP337B3. Next, we identify signatures of selection in the panmictic population of nonadmixed H. zea, identifying a selective sweep at a second cytochrome P450 gene: CYP333B3. We estimate that its derived allele conferred a ∼5% fitness advantage and show that this estimate explains independently observed rare nonsynonymous CYP333B3 mutations approaching fixation over a ∼20-year period. We also detect putative signatures of selection at a kinesin gene associated with Bt resistance. Overall, we document two mechanisms of rapid adaptation: the introduction of fitness-enhancing alleles through interspecific introgression, and selection on intraspecific variation.
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Affiliation(s)
- Henry L North
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Zhen Fu
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
- Bioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Richard Metz
- AgriLife Genomics and Bioinformatics Service, Texas A&M University, College Station, TX 77843, USA
| | - Matt A Stull
- AgriLife Genomics and Bioinformatics Service, Texas A&M University, College Station, TX 77843, USA
| | - Charles D Johnson
- AgriLife Genomics and Bioinformatics Service, Texas A&M University, College Station, TX 77843, USA
| | - Xanthe Shirley
- Animal and Plant Health Inspection Service, United States Department of Agriculture, College Station, TX, USA
| | - Kate Crumley
- Agrilife Extension, Texas A&M University, Wharton, TX, USA
| | - Dominic Reisig
- Department of Entomology and Plant Pathology, North Carolina State University, Plymouth, NC, 27962, USA
| | - David L Kerns
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Todd Gilligan
- Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, USA
| | - Tom Walsh
- Black Mountain Laboratories, Commonwealth Scientific and Industrial Research Organization, Canberra, Australia
| | - Chris D Jiggins
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Gregory A Sword
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
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22
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Zhan L, Luo X, Xie W, Zhu XA, Xie Z, Lin J, Li L, Tang W, Wang R, Deng L, Liao Y, Liu B, Cai Y, Wang Q, Xu S, Yu G. shinyTempSignal: an R shiny application for exploring temporal and other phylogenetic signals. J Genet Genomics 2024; 51:762-768. [PMID: 38417547 DOI: 10.1016/j.jgg.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/01/2024]
Abstract
The molecular clock model is fundamental for inferring species divergence times from molecular sequences. However, its direct application may introduce significant biases due to sequencing errors, recombination events, and inaccurately labeled sampling times. Improving accuracy necessitates rigorous quality control measures to identify and remove potentially erroneous sequences. Furthermore, while not all branches of a phylogenetic tree may exhibit a clear temporal signal, specific branches may still adhere to the assumptions, with varying evolutionary rates. Supporting a relaxed molecular clock model better aligns with the complexities of evolution. The root-to-tip regression method has been widely used to analyze the temporal signal in phylogenetic studies and can be generalized for detecting other phylogenetic signals. Despite its utility, there remains a lack of corresponding software implementations for broader applications. To address this gap, we present shinyTempSignal, an interactive web application implemented with the shiny framework, available as an R package and publicly accessible at https://github.com/YuLab-SMU/shinyTempSignal. This tool facilitates the analysis of temporal and other phylogenetic signals under both strict and relaxed models. By extending the root-to-tip regression method to diverse signals, shinyTempSignal helps in the detection of evolving features or traits, thereby laying the foundation for deeper insights and subsequent analyses.
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Affiliation(s)
- Li Zhan
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Xiao Luo
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Wenqin Xie
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Xuan-An Zhu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China; Faculty of Computers, Guangdong University of Technology, Guangzhou, Guangdong 510006, China
| | - Zijing Xie
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Jianfeng Lin
- Ubigene Biosciences Co., Ltd., Guangzhou, Guangdong 510530, China
| | - Lin Li
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Wenli Tang
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Rui Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Lin Deng
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yufan Liao
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Bingdong Liu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China; State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong 510070, China
| | - Yantong Cai
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Qianwen Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Shuangbin Xu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
| | - Guangchuang Yu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
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23
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Wang K, Cai L, Wang H, Shan S, Hu X, Zhang J. Protocol for fast clonal family inference and analysis from large-scale B cell receptor repertoire sequencing data. STAR Protoc 2024; 5:102969. [PMID: 38502687 PMCID: PMC10963638 DOI: 10.1016/j.xpro.2024.102969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/26/2024] [Accepted: 03/03/2024] [Indexed: 03/21/2024] Open
Abstract
The expeditious identification and comprehensive analysis of clonal families from extensive B cell receptor (BCR) repertoire sequencing data are imperative for elucidating the intricacies of B cell immune responses. Here, we introduce a computational pipeline designed to swiftly deduce clonal families from bulk BCR heavy-chain sequencing data, accompanied by a suite of functional modules tailored to streamline post-clustering analysis. The outlined methodology encompasses guidelines for software installation, meticulous data preparation, and the systematic inference and analysis of clonal families. For complete details on the use and execution of this protocol, please refer to Wang et al.1.
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Affiliation(s)
- Kaixuan Wang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Linru Cai
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Hao Wang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; Georgia Tech Shenzhen Institute (GTSI), Tianjin University, Shenzhen, Guangdong, China
| | - Shiwen Shan
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xihao Hu
- GV20 Therapeutics, Cambridge, MA, USA
| | - Jian Zhang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
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24
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Balconi C, Galaretto A, Malvar RA, Nicolas SD, Redaelli R, Andjelkovic V, Revilla P, Bauland C, Gouesnard B, Butron A, Torri A, Barata AM, Kravic N, Combes V, Mendes-Moreira P, Murariu D, Šarčević H, Schierscher-Viret B, Vincent M, Zanetto A, Kessel B, Madur D, Mary-Huard T, Pereira A, Placinta DD, Strigens A, Charcosset A, Goritschnig S. Genetic and Phenotypic Evaluation of European Maize Landraces as a Tool for Conservation and Valorization of Agrobiodiversity. BIOLOGY 2024; 13:454. [PMID: 38927334 PMCID: PMC11201045 DOI: 10.3390/biology13060454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/30/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024]
Abstract
The ECPGR European Evaluation Network (EVA) for Maize involves genebanks, research institutions, and private breeding companies from nine countries focusing on the valorization of maize genetic resources across Europe. This study describes a diverse collection of 626 local landraces and traditional varieties of maize (Zea mays L.) from nine European genebanks, including criteria for selection of the collection and its genetic and phenotypic diversity. High-throughput pool genotyping grouped the landraces into nine genetic groups with a threshold of 0.6 admixture, while 277 accessions were designated admixed and likely to have resulted from previous breeding activities. The grouping correlated well with the geographic origins of the collection, also reflecting the various pathways of introduction of maize to Europe. Phenotypic evaluations of 588 accessions for flowering time and plant architecture in multilocation trials over three years confirmed the great diversity within the collection, although phenotypic clusters only partially correlated with the genetic grouping. The EVA approach promotes conservation of genetic resources and opens an opportunity to increase genetic variability for developing improved varieties and populations for farmers, with better adaptation to specific environments and greater tolerance to various stresses. As such, the EVA maize collection provides valuable sources of diversity for facing climate change due to the varieties' local adaptation.
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Affiliation(s)
- Carlotta Balconi
- CREA—Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, via Stezzano 24, 24126 Bergamo, Italy; (R.R.); (A.T.)
| | - Agustin Galaretto
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
| | - Rosa Ana Malvar
- Misión Biológica de Galicia Consejo Superior de Investigaciones Científicas, Pazo de Salcedo Carballeira, 8 Salcedo, 36143 Pontevedra, Spain; (R.A.M.)
| | - Stéphane D. Nicolas
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
| | - Rita Redaelli
- CREA—Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, via Stezzano 24, 24126 Bergamo, Italy; (R.R.); (A.T.)
| | - Violeta Andjelkovic
- Maize Research Institute Zemun Polje, 11000 Belgrade, Serbia; (V.A.); (N.K.)
| | - Pedro Revilla
- Misión Biológica de Galicia Consejo Superior de Investigaciones Científicas, Pazo de Salcedo Carballeira, 8 Salcedo, 36143 Pontevedra, Spain; (R.A.M.)
| | - Cyril Bauland
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
| | - Brigitte Gouesnard
- UMR AGAP Institut, CIRAD, INRAE, Institut Agro, University Montpellier, F-34398 Montpellier, France (M.V.); (A.Z.)
| | - Ana Butron
- Misión Biológica de Galicia Consejo Superior de Investigaciones Científicas, Pazo de Salcedo Carballeira, 8 Salcedo, 36143 Pontevedra, Spain; (R.A.M.)
| | - Alessio Torri
- CREA—Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, via Stezzano 24, 24126 Bergamo, Italy; (R.R.); (A.T.)
| | - Ana Maria Barata
- Banco Português de Germoplasma Vegetal, Quinta de S. José, S.Pedro de Merelim, 4700-859 Braga, Portugal;
| | - Natalija Kravic
- Maize Research Institute Zemun Polje, 11000 Belgrade, Serbia; (V.A.); (N.K.)
| | - Valérie Combes
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
| | - Pedro Mendes-Moreira
- Coimbra School of Agriculture, Polytechnic University of Coimbra (ESAC-IPC), 3045-093 Coimbra, Portugal; (P.M.-M.); (A.P.)
- CERNAS—Research Centre for Natural Resources, Environment and Society, Bencanta, 3045-601 Coimbra, Portugal
| | - Danela Murariu
- Suceava Genebank, B-Dul. 1 Mai 17, 720224 Suceava, Romania; (D.M.); (D.D.P.)
| | - Hrvoje Šarčević
- Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000 Zagreb, Croatia;
| | | | - Morgane Vincent
- UMR AGAP Institut, CIRAD, INRAE, Institut Agro, University Montpellier, F-34398 Montpellier, France (M.V.); (A.Z.)
| | - Anne Zanetto
- UMR AGAP Institut, CIRAD, INRAE, Institut Agro, University Montpellier, F-34398 Montpellier, France (M.V.); (A.Z.)
| | - Bettina Kessel
- KWS SAAT SE & Co. KGaA, Grimsehlstr. 31, 37574 Einbeck, Germany;
| | - Delphine Madur
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
| | - Tristan Mary-Huard
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
- INRAE, UMR MIA Paris-Saclay, Université Paris-Saclay, AgroParisTech, 91120 Paris, France
| | - André Pereira
- Coimbra School of Agriculture, Polytechnic University of Coimbra (ESAC-IPC), 3045-093 Coimbra, Portugal; (P.M.-M.); (A.P.)
- CERNAS—Research Centre for Natural Resources, Environment and Society, Bencanta, 3045-601 Coimbra, Portugal
| | | | - Alexandre Strigens
- DSP—Delley Semences et Plantes SA, Route de Portalban 40, 1567 Delley, Switzerland;
| | - Alain Charcosset
- INRAE, CNRS, AgroParisTech, GQE—Le Moulon, Université Paris-Saclay, 12 route 128, 91190 Gif-sur-Yvette, France; (A.G.); (S.D.N.); (C.B.); (V.C.); (D.M.); (T.M.-H.); (A.C.)
| | - Sandra Goritschnig
- ECPGR, Alliance of Bioversity International and CIAT, Via di San Domenico 1, 00153 Rome, Italy
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25
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Hou Z, Yang S, He W, Lu T, Feng X, Zang L, Bai W, Chen X, Nie B, Li C, Wei M, Ma L, Han Z, Zou Q, Li W, Wang L. The haplotype-resolved genome of diploid Chrysanthemum indicum unveils new acacetin synthases genes and their evolutionary history. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024. [PMID: 38864745 DOI: 10.1111/tpj.16854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/31/2024] [Accepted: 05/03/2024] [Indexed: 06/13/2024]
Abstract
Acacetin, a flavonoid compound, possesses a wide range of pharmacological effects, including antimicrobial, immune regulation, and anticancer effects. Some key steps in its biosynthetic pathway were largely unknown in flowering plants. Here, we present the first haplotype-resolved genome of Chrysanthemum indicum, whose dried flowers contain abundant flavonoids and have been utilized as traditional Chinese medicine. Various phylogenetic analyses revealed almost equal proportion of three tree topologies among three Chrysanthemum species (C. indicum, C. nankingense, and C. lavandulifolium), indicating that frequent gene flow among Chrysanthemum species or incomplete lineage sorting due to rapid speciation might contribute to conflict topologies. The expanded gene families in C. indicum were associated with oxidative functions. Through comprehensive candidate gene screening, we identified five flavonoid O-methyltransferase (FOMT) candidates, which were highly expressed in flowers and whose expressional levels were significantly correlated with the content of acacetin. Further experiments validated two FOMTs (CI02A009970 and CI03A006662) were capable of catalyzing the conversion of apigenin into acacetin, and these two genes are possibly responsible acacetin accumulation in disc florets and young leaves, respectively. Furthermore, combined analyses of ancestral chromosome reconstruction and phylogenetic trees revealed the distinct evolutionary fates of the two validated FOMT genes. Our study provides new insights into the biosynthetic pathway of flavonoid compounds in the Asteraceae family and offers a model for tracing the origin and evolutionary routes of single genes. These findings will facilitate in vitro biosynthetic production of flavonoid compounds through cellular and metabolic engineering and expedite molecular breeding of C. indicum cultivars.
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Affiliation(s)
- Zhuangwei Hou
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Song Yang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Weijun He
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Tingting Lu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Xunmeng Feng
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Lanlan Zang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Wenhui Bai
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Xueqing Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Bao Nie
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Cheng Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Min Wei
- China Resources Sanjiu Medical and Pharmaceutical Co., Ltd, Shenzhen, 518110, China
| | - Liangju Ma
- China Resources Sanjiu Medical and Pharmaceutical Co., Ltd, Shenzhen, 518110, China
| | - Zhengzhou Han
- China Resources Sanjiu Medical and Pharmaceutical Co., Ltd, Shenzhen, 518110, China
| | - Qingjun Zou
- China Resources Sanjiu Medical and Pharmaceutical Co., Ltd, Shenzhen, 518110, China
- National Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Wei Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
| | - Li Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Beijing, 100700, China
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26
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Spilsberg B, Nilsen HK, Gulla S, Lagesen K, Colquhoun DJ, Olsen AB. Draft genome sequences of 13 Tenacibaculum maritimum isolates from farmed Norwegian Cyclopterus lumpus (lumpfish) and Scophthalmus maximus (turbot). Microbiol Resour Announc 2024; 13:e0016524. [PMID: 38682771 PMCID: PMC11237539 DOI: 10.1128/mra.00165-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024] Open
Abstract
Thirteen bacterial isolates of Tenacibaculum maritimum were sequenced and assembled. The strains were isolated from four disease outbreaks in farmed marine fish in Norway. Eight isolates were from Cyclopterus lumpus (lumpfish), and five were from Scophthalmus maximus (turbot). Overall, sequence similarity did not correlate with host species or geographic location.
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27
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Feng B, Li Y, Liu H, Steenwyk JL, David KT, Tian X, Xu B, Gonçalves C, Opulente DA, LaBella AL, Harrison MC, Wolters JF, Shao S, Chen Z, Fisher KJ, Groenewald M, Hittinger CT, Shen XX, Rokas A, Zhou X, Li Y. Unique trajectory of gene family evolution from genomic analysis of nearly all known species in an ancient yeast lineage. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597512. [PMID: 38895429 PMCID: PMC11185758 DOI: 10.1101/2024.06.05.597512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Gene gains and losses are a major driver of genome evolution; their precise characterization can provide insights into the origin and diversification of major lineages. Here, we examined gene family evolution of 1,154 genomes from nearly all known species in the medically and technologically important yeast subphylum Saccharomycotina. We found that yeast gene family and genome evolution are distinct from plants, animals, and filamentous ascomycetes and are characterized by small genome sizes and smaller gene numbers but larger gene family sizes. Faster-evolving lineages (FELs) in yeasts experienced significantly higher rates of gene losses-commensurate with a narrowing of metabolic niche breadth-but higher speciation rates than their slower-evolving sister lineages (SELs). Gene families most often lost are those involved in mRNA splicing, carbohydrate metabolism, and cell division and are likely associated with intron loss, metabolic breadth, and non-canonical cell cycle processes. Our results highlight the significant role of gene family contractions in the evolution of yeast metabolism, genome function, and speciation, and suggest that gene family evolutionary trajectories have differed markedly across major eukaryotic lineages.
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Affiliation(s)
- Bo Feng
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao 266237, China
| | - Yonglin Li
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China
| | - Hongyue Liu
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Jacob L. Steenwyk
- Howards Hughes Medical Institute and the Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Kyle T. David
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
| | - Xiaolin Tian
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Biyang Xu
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Carla Gonçalves
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
- Associate Laboratory i4HB—Institute for Health and Bioeconomy and UCIBIO—Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal
- UCIBIO-i4HB, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
| | - Dana A. Opulente
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
- Biology Department, Villanova University, Villanova, PA 19085, USA
| | - Abigail L. LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, North Carolina Research Campus, Kannapolis NC 28223, USA AND Center for Computational Intelligence to Predict Health and Environmental Risks (CIPHER), University of North Carolina at Charlotte, Charlotte, NC, 28233, USA
| | - Marie-Claire Harrison
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
| | - John F. Wolters
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Shengyuan Shao
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Zhaohao Chen
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
| | - Kaitlin J. Fisher
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
- Department of Biological Sciences, State University of New York at Oswego, Oswego, NY, 13126, USA
| | | | - Chris Todd Hittinger
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Xing-Xing Shen
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
| | - Xiaofan Zhou
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China
| | - Yuanning Li
- Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
- Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao 266237, China
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28
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Riley NM, Förster H, Adaskaveg JE. Regional Comparisons of Sensitivities of Phytophthora citrophthora and P. syringae Causing Citrus Brown Rot in California to Four New and Two Older Fungicides. PLANT DISEASE 2024; 108:1582-1590. [PMID: 38173255 DOI: 10.1094/pdis-08-23-1556-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Isolates of the citrus brown rot pathogens Phytophthora citrophthora and P. syringae from the Inland Empire (IE) and Ventura Co. (VE) regions of southern California were evaluated for their sensitivity to ethaboxam, fluopicolide, mandipropamid, and oxathiapiprolin, and the previously published baselines that were generated for Central Valley (CV) isolates of California were expanded. Fungicides were generally more toxic to CV isolates of both species for all four fungicides. Specific differences were found in the toxicity of ethaboxam to P. syringae where CV isolates on average were 6.8 or 8.2 times more sensitive than those from the VE or IE regions, respectively. Based on the grouping of isolates in an unweighted pair-group method with arithmetic mean (UPGMA) dendrogram, as well as fastStructure analyses and plotting of principal component analyses (PCAs), differences in ethaboxam sensitivity could be related to differences in genetic background of the isolates. Isolates of P. citrophthora from the IE and VE had slightly reduced (i.e., 1.5×) sensitivity to mandipropamid as compared with isolates from the CV and were found on distinct branches in the UPGMA dendrogram. Differences in genetic background of less sensitive isolates within each species indicate that these two phenotypes emerged multiple times independently. IE and VE isolates of both species were sensitive to mefenoxam. Moderate resistance to potassium phosphite (EC50 values of 25 to 75 μg/ml) was present in IE and VE isolates of P. syringae, whereas some IE isolates of P. citrophthora were considered resistant with EC50 values of up to 113.69 μg/ml. Resistance to potassium phosphite did not relate to distinct genotypes.
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Affiliation(s)
- Nathan M Riley
- Department of Microbiology and Plant Pathology, University of California, Riverside, CA 92521
| | - Helga Förster
- Department of Microbiology and Plant Pathology, University of California, Riverside, CA 92521
| | - James E Adaskaveg
- Department of Microbiology and Plant Pathology, University of California, Riverside, CA 92521
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29
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Abramczyk BM, Wiktorowicz DG, Okrasińska A, Pawłowska JZ. Mucor thermorhizoides-A New Species from Post-mining Site in Sudety Mountains (Poland). Curr Microbiol 2024; 81:201. [PMID: 38822823 PMCID: PMC11144139 DOI: 10.1007/s00284-024-03708-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 04/21/2024] [Indexed: 06/03/2024]
Abstract
Mucor representatives are mostly rapidly growing cosmopolitan soil saprotrophs of early diverged Mucoromycotina subphylum. Although this is the most speciose genus within the group, some lineages are still understudied. In this study, new species of Mucor was isolated from the post-mining area in southwestern Poland, where soil chemical composition analysis revealed high concentration of hydrocarbons and heavy metals. Phylogenetic analysis based on multigene phylogeny showed that the new isolate clusters distinctly from other Mucor species as a sister group to Mucor microsporus. New species Mucor thermorhizoides Abramczyk (Mucorales, Mucoromycota) is characterized by the extensive rhizoid production in elevated temperatures and formation of two layers of sporangiophores. It also significantly differs from M. microsporus in the shape of spores and the size of sporangia. M. thermorhizoides was shown to be able to grow in oligotrophic conditions at low temperatures. Together with M. microsporus they represent understudied and highly variable lineage of the Mucor genus.
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Affiliation(s)
- Beniamin M Abramczyk
- Biology of Microorganisms Students' Society, Faculty of Biology, University of Warsaw, ul. Miecznikowa 1, 02-096, Warsaw, Poland.
| | - Dorota G Wiktorowicz
- Biology of Microorganisms Students' Society, Faculty of Biology, University of Warsaw, ul. Miecznikowa 1, 02-096, Warsaw, Poland
| | - Alicja Okrasińska
- Institute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, ul. Żwirki i Wigury 101, 02-089, Warsaw, Poland
| | - Julia Z Pawłowska
- Institute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, ul. Żwirki i Wigury 101, 02-089, Warsaw, Poland
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30
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Cave R, Kalizang'oma A, Chaguza C, Mwalukomo TS, Kamng’ona A, Brown C, Msefula J, Bonomali F, Nyirenda R, Swarthout TD, Kwambana-Adams B, French N, Heyderman RS. Expansion of pneumococcal serotype 23F and 14 lineages with genotypic changes in capsule polysaccharide locus and virulence gene profiles post introduction of pneumococcal conjugate vaccine in Blantyre, Malawi. Microb Genom 2024; 10:001264. [PMID: 38896467 PMCID: PMC11261835 DOI: 10.1099/mgen.0.001264] [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: 04/04/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024] Open
Abstract
Since the introduction of the 13-valent pneumococcal conjugate vaccine (PCV13) in Malawi in 2011, there has been persistent carriage of vaccine serotype (VT) Streptococcus pneumoniae, despite high vaccine coverage. To determine if there has been a genetic change within the VT capsule polysaccharide (cps) loci since the vaccine's introduction, we compared 1022 whole-genome-sequenced VT isolates from 1998 to 2019. We identified the clonal expansion of a multidrug-resistant, penicillin non-susceptible serotype 23F GPSC14-ST2059 lineage, a serotype 14 GPSC9-ST782 lineage and a novel serotype 14 sequence type GPSC9-ST18728 lineage. Serotype 23F GPSC14-ST2059 had an I253T mutation within the capsule oligosaccharide repeat unit polymerase Wzy protein, which is predicted in silico to alter the protein pocket cavity. Moreover, serotype 23F GPSC14-ST2059 had SNPs in the DNA binding sites for the cps transcriptional repressors CspR and SpxR. Serotype 14 GPSC9-ST782 harbours a non-truncated version of the large repetitive protein (Lrp), containing a Cna protein B-type domain which is also present in proteins associated with infection and colonisation. These emergent lineages also harboured genes associated with antibiotic resistance, and the promotion of colonisation and infection which were absent in other lineages of the same serotype. Together these data suggest that in addition to serotype replacement, modifications of the capsule locus associated with changes in virulence factor expression and antibiotic resistance may promote vaccine escape. In summary, the study highlights that the persistence of vaccine serotype carriage despite high vaccine coverage in Malawi may be partly caused by expansion of VT lineages post-PCV13 rollout.
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Affiliation(s)
- Rory Cave
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, UK
| | - Akuzike Kalizang'oma
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, UK
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
| | - Chrispin Chaguza
- Parasites and Microbes, Wellcome Sanger Institute, Cambridge, UK
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA
| | | | | | - Comfort Brown
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
| | | | | | | | - Todd D. Swarthout
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, UK
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Brenda Kwambana-Adams
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, UK
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
| | - Neil French
- Clinical Infection, Microbiology and Immunology, Institute of Infection Veterinary & Ecological Science, University of Liverpool, Liverpool, UK
| | - Robert S. Heyderman
- Mucosal Pathogens Research Group, Research Department of Infection, Division of Infection & Immunity, University College London, London, UK
- Malawi Liverpool Wellcome Programme, Blantyre, Malawi
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31
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Liu HQ, Li HJ, Pan Q, Xiang YZ. Endosymbionts of citrus leafminer Phyllocnistis citrella Stainton among different citrus orchards in China. Sci Data 2024; 11:519. [PMID: 38778070 PMCID: PMC11111750 DOI: 10.1038/s41597-024-03372-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
Endosymbionts regulate the behavior of pest species, which could provide insights into their control. The citrus leafminer (Phyllocnistis citrella Stainton) is a widely distributed pest associated with diseases of citrus, especially of young trees. Here, we determined the endosymbiont composition of P. citrella in citrus orchards across China. The resulting dataset comprised average 50,430 high-quality reads for bacterial 16S rRNA V3-V4 regions of endosymbionts from 36 P. citrella larvae sampled from 12 citrus orchards across China. The sequencing depth and sampling size of this dataset were sufficient to reveal most of the endosymbionts of P. citrella. In total, 2,875 bacterial amplicon sequence variants were obtained; taxonomic analysis revealed a total of 372 bacterial genera, most of which were Proteobacteria phylum with Undibacterium being the most abundant genus. This dataset provides the first evidence of P. citrella endosymbionts that could support the development of pest management approaches in citrus orchards.
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Affiliation(s)
- Hao-Qiang Liu
- Citrus Research Institute, Southwest University, Beipei District, Chongqing, 400715, P. R. China.
- National Engineering Research Center for Citrus, Chinese Academy of Agricultural Sciences, Beipei District, Chongqing, 400712, P. R. China.
| | - Hong-Jun Li
- Citrus Research Institute, Southwest University, Beipei District, Chongqing, 400715, P. R. China
- National Engineering Research Center for Citrus, Chinese Academy of Agricultural Sciences, Beipei District, Chongqing, 400712, P. R. China
| | - Qi Pan
- Citrus Research Institute, Southwest University, Beipei District, Chongqing, 400715, P. R. China
- National Engineering Research Center for Citrus, Chinese Academy of Agricultural Sciences, Beipei District, Chongqing, 400712, P. R. China
| | - Yao-Zong Xiang
- Citrus Research Institute, Southwest University, Beipei District, Chongqing, 400715, P. R. China
- National Engineering Research Center for Citrus, Chinese Academy of Agricultural Sciences, Beipei District, Chongqing, 400712, P. R. China
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Sandsdalen GD, Kumar A, Hjerde E. Exploring the Frozen Armory: Antiphage Defense Systems in Cold-Adapted Bacteria with a Focus on CRISPR-Cas Systems. Microorganisms 2024; 12:1028. [PMID: 38792857 PMCID: PMC11124354 DOI: 10.3390/microorganisms12051028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Our understanding of the antiphage defense system arsenal in bacteria is rapidly expanding, but little is known about its occurrence in cold-adapted bacteria. In this study, we aim to shed light on the prevalence and distribution of antiphage defense systems in cold-adapted bacteria, with a focus on CRISPR-Cas systems. Using bioinformatics tools, Prokaryotic Antiviral Defense LOCator (PADLOC) and CRISPRCasTyper, we mapped the presence and diversity of antiphage defense systems in 938 available genomes of cold-adapted bacteria from diverse habitats. We confirmed that CRISPR-Cas systems are less frequent in cold-adapted bacteria, compared to mesophilic and thermophilic species. In contrast, several antiphage defense systems, such as dXTPases and DRTs, appear to be more frequently compared to temperate bacteria. Additionally, our study provides Cas endonuclease candidates with a potential for further development into cold-active CRISPR-Cas genome editing tools. These candidates could have broad applications in research on cold-adapted organisms. Our study provides a first-time map of antiphage defense systems in cold-adapted bacteria and a detailed overview of CRISPR-Cas diversity.
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Affiliation(s)
| | | | - Erik Hjerde
- Department of Chemistry, UiT the Arctic University of Norway, 9019 Tromsø, Norway; (G.D.S.); (A.K.)
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33
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Zou Y, Zhang Z, Zeng Y, Hu H, Hao Y, Huang S, Li B. Common Methods for Phylogenetic Tree Construction and Their Implementation in R. Bioengineering (Basel) 2024; 11:480. [PMID: 38790347 PMCID: PMC11117635 DOI: 10.3390/bioengineering11050480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
A phylogenetic tree can reflect the evolutionary relationships between species or gene families, and they play a critical role in modern biological research. In this review, we summarize common methods for constructing phylogenetic trees, including distance methods, maximum parsimony, maximum likelihood, Bayesian inference, and tree-integration methods (supermatrix and supertree). Here we discuss the advantages, shortcomings, and applications of each method and offer relevant codes to construct phylogenetic trees from molecular data using packages and algorithms in R. This review aims to provide comprehensive guidance and reference for researchers seeking to construct phylogenetic trees while also promoting further development and innovation in this field. By offering a clear and concise overview of the different methods available, we hope to enable researchers to select the most appropriate approach for their specific research questions and datasets.
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Affiliation(s)
- Yue Zou
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; (Y.Z.); (Z.Z.); (Y.Z.); (H.H.); (Y.H.)
| | - Zixuan Zhang
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; (Y.Z.); (Z.Z.); (Y.Z.); (H.H.); (Y.H.)
| | - Yujie Zeng
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; (Y.Z.); (Z.Z.); (Y.Z.); (H.H.); (Y.H.)
| | - Hanyue Hu
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; (Y.Z.); (Z.Z.); (Y.Z.); (H.H.); (Y.H.)
| | - Youjin Hao
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; (Y.Z.); (Z.Z.); (Y.Z.); (H.H.); (Y.H.)
| | - Sheng Huang
- Animal Nutrition Institute, Chongqing Academy of Animal Science, Chongqing 402460, China
| | - Bo Li
- College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; (Y.Z.); (Z.Z.); (Y.Z.); (H.H.); (Y.H.)
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Zakharevich NV, Morozov MD, Kanaeva VA, Filippov MS, Zyubko TI, Ivanov AB, Ulyantsev VI, Klimina KM, Olekhnovich EI. Systemic metabolic depletion of gut microbiome undermines responsiveness to melanoma immunotherapy. Life Sci Alliance 2024; 7:e202302480. [PMID: 38448159 PMCID: PMC10917649 DOI: 10.26508/lsa.202302480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 03/08/2024] Open
Abstract
Immunotherapy has proven to be a boon for patients battling metastatic melanoma, significantly improving their clinical condition and overall quality of life. A compelling link between the composition of the gut microbiome and the efficacy of immunotherapy has been established in both animal models and human patients. However, the precise biological mechanisms by which gut microbes influence treatment outcomes remain poorly understood. Using a robust dataset of 680 fecal metagenomes from melanoma patients, a detailed catalog of metagenome-assembled genomes (MAGs) was constructed to explore the compositional and functional properties of the gut microbiome. Our study uncovered significant findings that deepen the understanding of the intricate relationship between gut microbes and the efficacy of melanoma immunotherapy. In particular, we discovered the specific metagenomic profile of patients with favorable treatment outcomes, characterized by a prevalence of MAGs with increased overall metabolic potential and proficiency in polysaccharide utilization, along with those responsible for cobalamin and amino acid production. Furthermore, our investigation of the biosynthetic pathways of short-chain fatty acids, known for their immunomodulatory role, revealed a differential abundance of these pathways among the specific MAGs. Among others, the cobalamin-dependent Wood-Ljungdahl pathway of acetate synthesis was directly associated with responsiveness to melanoma immunotherapy.
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Affiliation(s)
- Natalia V Zakharevich
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian
| | - Maxim D Morozov
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian
| | - Vera A Kanaeva
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian
- Moscow Institute of Physics and Technology, Moscow, Russian
| | - Mikhail S Filippov
- https://ror.org/04btxg914 Bioinformatics Institute, Saint Petersburg, Russian
| | - Tatyana I Zyubko
- https://ror.org/04btxg914 Bioinformatics Institute, Saint Petersburg, Russian
| | - Artem B Ivanov
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian
- ITMO University, Saint Petersburg, Russian
| | | | - Ksenia M Klimina
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian
| | - Evgenii I Olekhnovich
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russian
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35
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Murray CS, Karram M, Bass DJ, Doceti M, Becker D, Nunez JCB, Ratan A, Bergland AO. Balancing selection and the functional effects of shared polymorphism in cryptic Daphnia species. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.16.589693. [PMID: 38659826 PMCID: PMC11042267 DOI: 10.1101/2024.04.16.589693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The patterns of genetic variation within and between related taxa represent the genetic history of a species. Shared polymorphisms, loci with identical alleles across species, are of unique interest as they may represent cases of ancient selection maintaining functional variation post-speciation. In this study, we investigate the abundance of shared polymorphism in the Daphnia pulex species complex. We test whether shared mutations are consistent with the action of balancing selection or alternative hypotheses such as hybridization, incomplete lineage sorting, or convergent evolution. We analyzed over 2,000 genomes from North American and European D. pulex and several outgroup species to examine the prevalence and distribution of shared alleles between the focal species pair, North American and European D. pulex. We show that while North American and European D. pulex diverged over ten million years ago, they retained tens of thousands of shared alleles. We found that the number of shared polymorphisms between North American and European D. pulex cannot be explained by hybridization or incomplete lineage sorting alone. Instead, we show that most shared polymorphisms could be the product of convergent evolution, that a limited number appear to be old trans-specific polymorphisms, and that balancing selection is affecting young and ancient mutations alike. Finally, we provide evidence that a blue wavelength opsin gene with trans-specific polymorphisms has functional effects on behavior and fitness in the wild. Ultimately, our findings provide insights into the genetic basis of adaptation and the maintenance of genetic diversity between species.
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Affiliation(s)
- Connor S. Murray
- Department of Biology, University of Virginia, Charlottesville, VA, USA
| | - Madison Karram
- Department of Biology, University of Virginia, Charlottesville, VA, USA
| | - David J. Bass
- Department of Biology, University of Virginia, Charlottesville, VA, USA
| | - Madison Doceti
- Department of Biology, University of Virginia, Charlottesville, VA, USA
| | - Dörthe Becker
- Department of Biology, University of Virginia, Charlottesville, VA, USA
- School of Biosciences, Ecology and Evolutionary Biology, University of Sheffield, Sheffield, UK
| | | | - Aakrosh Ratan
- Center of Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Alan O. Bergland
- Department of Biology, University of Virginia, Charlottesville, VA, USA
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36
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Ridley RS, Conrad RE, Lindner BG, Woo S, Konstantinidis KT. Potential routes of plastics biotransformation involving novel plastizymes revealed by global multi-omic analysis of plastic associated microbes. Sci Rep 2024; 14:8798. [PMID: 38627476 PMCID: PMC11021508 DOI: 10.1038/s41598-024-59279-x] [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: 11/17/2023] [Accepted: 04/09/2024] [Indexed: 04/19/2024] Open
Abstract
Despite increasing efforts across various disciplines, the fate, transport, and impact of synthetic plastics on the environment and public health remain poorly understood. To better elucidate the microbial ecology of plastic waste and its potential for biotransformation, we conducted a large-scale analysis of all publicly available meta-omic studies investigating plastics (n = 27) in the environment. Notably, we observed low prevalence of known plastic degraders throughout most environments, except for substantial enrichment in riverine systems. This indicates rivers may be a highly promising environment for discovery of novel plastic bioremediation products. Ocean samples associated with degrading plastics showed clear differentiation from non-degrading polymers, showing enrichment of novel putative biodegrading taxa in the degraded samples. Regarding plastisphere pathogenicity, we observed significant enrichment of antimicrobial resistance genes on plastics but not of virulence factors. Additionally, we report a co-occurrence network analysis of 10 + million proteins associated with the plastisphere. This analysis revealed a localized sub-region enriched with known and putative plastizymes-these may be useful for deeper investigation of nature's ability to biodegrade man-made plastics. Finally, the combined data from our meta-analysis was used to construct a publicly available database, the Plastics Meta-omic Database (PMDB)-accessible at plasticmdb.org. These data should aid in the integrated exploration of the microbial plastisphere and facilitate research efforts investigating the fate and bioremediation potential of environmental plastic waste.
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Affiliation(s)
- Rodney S Ridley
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
| | - Roth E Conrad
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Blake G Lindner
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Seongwook Woo
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Konstantinos T Konstantinidis
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
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37
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Yan Z, Lei Y, Zhao P, Zhang D, Shen J, Zhang G, Wei R, Liu H, Liu X, He Y, Shen S, Liu D. Natural mating ability is associated with gut microbiota composition and function in captive male giant pandas. Ecol Evol 2024; 14:e11189. [PMID: 38571808 PMCID: PMC10985376 DOI: 10.1002/ece3.11189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/05/2024] [Accepted: 03/12/2024] [Indexed: 04/05/2024] Open
Abstract
The issue of poor sexual performance of some male giant pandas seriously impairs the growth and the genetic diversity of the captive population, yet there is still no clear understanding of the cause of the loss of this ability and its underlying mechanism. In this study, we analyzed the gut microbiota and its function in 72 fecal samples obtained from 20 captive male giant pandas, with an equal allocation between individuals capable and incapable of natural mating. Additionally, we investigated fecal hormone levels and behavioral differences between the two groups. A correlation analysis was then conducted among these factors to explore the influencing factors of their natural mating ability. The results showed significant differences in the composition of gut microbiota between the two groups of male pandas. The capable group had significantly higher abundance of Clostridium sensu stricto 1 (p adjusted = .0021, GLMM), which was positively correlated with fatty acid degradation and two-component system functions (Spearman, p adjusted < .05). Additionally, the capable group showed higher gene abundance in gut microbiota function including purine and pyrimidine metabolism and galactose metabolism, as well as pathways related to biological processes such as ribosome and homologous recombination (DEseq2, p adjusted < .05). We found no significant differences in fecal cortisol and testosterone levels between the two groups, and no difference was found in their behavior either. Our study provides a theoretical and practical basis for further studying the behavioral degradation mechanisms of giant pandas and other endangered mammal species.
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Affiliation(s)
- Zheng Yan
- Department of Ecology, College of Life Sciences, Key Laboratory for Biodiversity and Ecological Engineering of Ministry of EducationBeijing Normal UniversityBeijingHebeiChina
| | - Yinghu Lei
- Research Center for the Qinling Giant PandaShaanxi Rare Wildlife Rescue BaseXi'anShaanxiChina
| | - Pengpeng Zhao
- Research Center for the Qinling Giant PandaShaanxi Rare Wildlife Rescue BaseXi'anShaanxiChina
| | - Danhui Zhang
- Research Center for the Qinling Giant PandaShaanxi Rare Wildlife Rescue BaseXi'anShaanxiChina
| | - Jiena Shen
- Research Center for the Qinling Giant PandaShaanxi Rare Wildlife Rescue BaseXi'anShaanxiChina
| | - Guiquan Zhang
- China Conservation and Research Centre for the Giant PandaWolongSichuanChina
| | - Rongping Wei
- China Conservation and Research Centre for the Giant PandaWolongSichuanChina
| | - Haoqiu Liu
- Department of Ecology, College of Life Sciences, Key Laboratory for Biodiversity and Ecological Engineering of Ministry of EducationBeijing Normal UniversityBeijingHebeiChina
| | - Xiaoyan Liu
- Department of Ecology, College of Life Sciences, Key Laboratory for Biodiversity and Ecological Engineering of Ministry of EducationBeijing Normal UniversityBeijingHebeiChina
| | - Yan He
- Department of Ecology, College of Life Sciences, Key Laboratory for Biodiversity and Ecological Engineering of Ministry of EducationBeijing Normal UniversityBeijingHebeiChina
| | - Sijia Shen
- Department of Ecology, College of Life Sciences, Key Laboratory for Biodiversity and Ecological Engineering of Ministry of EducationBeijing Normal UniversityBeijingHebeiChina
| | - Dingzhen Liu
- Department of Ecology, College of Life Sciences, Key Laboratory for Biodiversity and Ecological Engineering of Ministry of EducationBeijing Normal UniversityBeijingHebeiChina
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38
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Claret JL, Di-Liegro M, Namias A, Assogba B, Makoundou P, Koffi A, Pennetier C, Weill M, Milesi P, Labbé P. Despite structural identity, ace-1 heterogenous duplication resistance alleles are quite diverse in Anopheles mosquitoes. Heredity (Edinb) 2024; 132:179-191. [PMID: 38280976 PMCID: PMC10997782 DOI: 10.1038/s41437-024-00670-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/08/2024] [Accepted: 01/11/2024] [Indexed: 01/29/2024] Open
Abstract
Anopheles gambiae s.l. has been the target of intense insecticide treatment since the mid-20th century to try and control malaria. A substitution in the ace-1 locus has been rapidly selected for, allowing resistance to organophosphate and carbamate insecticides. Since then, two types of duplication of the ace-1 locus have been found in An. gambiae s.l. populations: homogeneous duplications that are composed of several resistance copies, or heterogeneous duplications that contain both resistance and susceptible copies. The substitution induces a trade-off between resistance in the presence of insecticides and disadvantages in their absence: the heterogeneous duplications allow the fixation of the intermediate heterozygote phenotype. So far, a single heterogeneous duplication has been described in An. gambiae s.l. populations (in contrast with the multiple duplicated alleles found in Culex pipiens mosquitoes). We used a new approach, combining long and short-read sequencing with Sanger sequencing to precisely identify and describe at least nine different heterogeneous duplications, in two populations of An. gambiae s.l. We show that these alleles share the same structure as the previously identified heterogeneous and homogeneous duplications, namely 203-kb tandem amplifications with conserved breakpoints. Our study sheds new light on the origin and maintenance of these alleles in An. gambiae s.l. populations, and their role in mosquito adaptation.
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Affiliation(s)
| | | | - Alice Namias
- ISEM, Université de Montpellier, CNRS, IRD, Montpellier, France
| | - Benoit Assogba
- Medical Research Council, Unit The Gambia at London School of Hygiene and Tropical Medicine, London, UK
| | | | - Alphonsine Koffi
- National Institute of Public Health/Pierre Richet Institute, Bouake, Côte d'Ivoire
| | | | - Mylène Weill
- ISEM, Université de Montpellier, CNRS, IRD, Montpellier, France
| | - Pascal Milesi
- Plant Ecology and Evolution, Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden
- Science for Life Laboratory (SciLifeLab), Uppsala University, 75237, Uppsala, Sweden
| | - Pierrick Labbé
- ISEM, Université de Montpellier, CNRS, IRD, Montpellier, France.
- Institut Universitaire de France (IUF), Paris, France.
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39
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Riley N, Förster H, Adaskaveg JE. Diversity and Clonality in Populations of Phytophthora citrophthora and P. syringae Causing Brown Rot of Citrus in California. PHYTOPATHOLOGY 2024; 114:792-801. [PMID: 38085984 DOI: 10.1094/phyto-09-23-0309-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Phytophthora citrophthora and P. syringae are currently the primary causal organisms of brown rot of citrus fruits in California. To possibly find an explanation for the prevalence of the previously minor species P. syringae, we determined the population structures of both pathogens in California using next-generation sequencing and population genomics analyses. Whole-genome sequencing and aligning with newly assembled reference genomes identified 972,266 variants in 132 isolates of P. citrophthora and 422,208 variants in 154 isolates (including 24 from noncitrus tree crops) of P. syringae originating from three major growing regions. The resulting data sets were visualized using principal component analysis, discriminant analysis of principal components, unweighted pair-group method with arithmetic mean dendrograms, fastStructure, and minimum spanning networks, and we obtained the index of association, diversity summary statistics, and genetic distance statistics values GST, G''ST, and Jost's D. Subpopulations of both species were mostly defined by their geographic origin indicating restricted dispersal of inoculum. Except for five isolates, the population structure of P. citrophthora (that is heterothallic and unlikely to reproduce sexually) was clonal to semi-clonal, with very little genetic diversity within and among subgroups. In contrast, the population structure of P. syringae was also clonal to semi-clonal, but isolates were placed into four main clusters of much higher diversity. Clonality in both species can be explained by a high level of asexual reproduction. The higher diversity in the homothallic P. syringae is likely due to commonly occurring sexual reproduction. One distinct cluster of P. syringae consisted solely of isolates from noncitrus hosts; therefore, the origin of P. syringae in citrus could not be resolved.
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Affiliation(s)
- Nathan Riley
- Department of Plant Pathology, University of California, Riverside, CA 92521
| | - Helga Förster
- Department of Microbiology and Plant Pathology, University of California, Riverside, CA 92521
| | - James E Adaskaveg
- Department of Plant Pathology, University of California, Riverside, CA 92521
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40
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Kyriacou RG, Mulhair PO, Holland PWH. GC Content Across Insect Genomes: Phylogenetic Patterns, Causes and Consequences. J Mol Evol 2024; 92:138-152. [PMID: 38491221 PMCID: PMC10978632 DOI: 10.1007/s00239-024-10160-5] [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: 09/13/2023] [Accepted: 02/06/2024] [Indexed: 03/18/2024]
Abstract
The proportions of A:T and G:C nucleotide pairs are often unequal and can vary greatly between animal species and along chromosomes. The causes and consequences of this variation are incompletely understood. The recent release of high-quality genome sequences from the Darwin Tree of Life and other large-scale genome projects provides an opportunity for GC heterogeneity to be compared across a large number of insect species. Here we analyse GC content along chromosomes, and within protein-coding genes and codons, of 150 insect species from four holometabolous orders: Coleoptera, Diptera, Hymenoptera, and Lepidoptera. We find that protein-coding sequences have higher GC content than the genome average, and that Lepidoptera generally have higher GC content than the other three insect orders examined. GC content is higher in small chromosomes in most Lepidoptera species, but this pattern is less consistent in other orders. GC content also increases towards subtelomeric regions within protein-coding genes in Diptera, Coleoptera and Lepidoptera. Two species of Diptera, Bombylius major and B. discolor, have very atypical genomes with ubiquitous increase in AT content, especially at third codon positions. Despite dramatic AT-biased codon usage, we find no evidence that this has driven divergent protein evolution. We argue that the GC landscape of Lepidoptera, Diptera and Coleoptera genomes is influenced by GC-biased gene conversion, strongest in Lepidoptera, with some outlier taxa affected drastically by counteracting processes.
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Affiliation(s)
- Riccardo G Kyriacou
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
| | - Peter O Mulhair
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
| | - Peter W H Holland
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK.
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41
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Plender EG, Prodanov T, Hsieh P, Nizamis E, Harvey WT, Sulovari A, Munson KM, Kaufman EJ, O’Neal WK, Valdmanis PN, Marschall T, Bloom JD, Eichler EE. Structural and genetic diversity in the secreted mucins, MUC5AC and MUC5B. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.18.585560. [PMID: 38562829 PMCID: PMC10983947 DOI: 10.1101/2024.03.18.585560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The secreted mucins MUC5AC and MUC5B play critical defensive roles in airway pathogen entrapment and mucociliary clearance by encoding large glycoproteins with variable number tandem repeats (VNTRs). These polymorphic and degenerate protein coding VNTRs make the loci difficult to investigate with short reads. We characterize the structural diversity of MUC5AC and MUC5B by long-read sequencing and assembly of 206 human and 20 nonhuman primate (NHP) haplotypes. We find that human MUC5B is largely invariant (5761-5762aa); however, seven haplotypes have expanded VNTRs (6291-7019aa). In contrast, 30 allelic variants of MUC5AC encode 16 distinct proteins (5249-6325aa) with cysteine-rich domain and VNTR copy number variation. We grouped MUC5AC alleles into three phylogenetic clades: H1 (46%, ~5654aa), H2 (33%, ~5742aa), and H3 (7%, ~6325aa). The two most common human MUC5AC variants are smaller than NHP gene models, suggesting a reduction in protein length during recent human evolution. Linkage disequilibrium (LD) and Tajima's D analyses reveal that East Asians carry exceptionally large MUC5AC LD blocks with an excess of rare variation (p<0.05). To validate this result, we used Locityper for genotyping MUC5AC haplogroups in 2,600 unrelated samples from the 1000 Genomes Project. We observed signatures of positive selection in H1 and H2 among East Asians and a depletion of the likely ancestral haplogroup (H3). In Africans and Europeans, H3 alleles show an excess of common variation and deviate from Hardy-Weinberg equilibrium, consistent with heterozygote advantage and balancing selection. This study provides a generalizable strategy to characterize complex protein coding VNTRs for improved disease associations.
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Affiliation(s)
- Elizabeth G. Plender
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Timofey Prodanov
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - PingHsun Hsieh
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Evangelos Nizamis
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - William T. Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Arvis Sulovari
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Eli J. Kaufman
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Wanda K. O’Neal
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, 27599, North Carolina, USA
| | - Paul N. Valdmanis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Jesse D. Bloom
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Howard Hughes Medical Institute, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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42
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Abraham LN, Oggenfuss U, Croll D. Population-level transposable element expression dynamics influence trait evolution in a fungal crop pathogen. mBio 2024; 15:e0284023. [PMID: 38349152 PMCID: PMC10936205 DOI: 10.1128/mbio.02840-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/22/2024] [Indexed: 03/14/2024] Open
Abstract
The rapid adaptive evolution of microbes is driven by strong selection pressure acting on genetic variation. How adaptive genetic variation is generated within species and how such variation influences phenotypic trait expression is often not well understood though. We focused on the recent activity of transposable elements (TEs) using deep population genomics and transcriptomics analyses of a fungal plant pathogen with a highly active content of TEs in the genome. Zymoseptoria tritici causes one of the most damaging diseases on wheat, with recent adaptation to the host and environment being facilitated by TE-associated mutations. We obtained genomic and RNA-sequencing data from 146 isolates collected from a single wheat field. We established a genome-wide map of TE insertion polymorphisms in the population by analyzing recent TE insertions among individuals. We quantified the locus-specific transcription of individual TE copies and found considerable population variation at individual TE loci in the population. About 20% of all TE copies show transcription in the genome suggesting that genomic defenses such as repressive epigenetic marks and repeat-induced polymorphisms are at least partially ineffective at preventing the proliferation of TEs in the genome. A quarter of recent TE insertions are associated with expression variation of neighboring genes providing broad potential to influence trait expression. We indeed found that TE insertions are likely responsible for variation in virulence on the host and potentially diverse components of secondary metabolite production. Our large-scale transcriptomics study emphasizes how TE-derived polymorphisms segregate even in individual microbial populations and can broadly underpin trait variation in pathogens.IMPORTANCEPathogens can rapidly adapt to new hosts, antimicrobials, or changes in the environment. Adaptation arises often from mutations in the genome; however, how such variation is generated remains poorly understood. We investigated the most dynamic regions of the genome of Zymoseptoria tritici, a major fungal pathogen of wheat. We focused on the transcription of transposable elements. A large proportion of the transposable elements not only show signatures of potential activity but are also variable within a single population of the pathogen. We find that this variation in activity is likely influencing many important traits of the pathogen. Hence, our work provides insights into how a microbial species can adapt over the shortest time periods based on the activity of transposable elements.
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Affiliation(s)
- Leen Nanchira Abraham
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland
| | - Ursula Oggenfuss
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland
| | - Daniel Croll
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland
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Garmaeva S, Sinha T, Gulyaeva A, Kuzub N, Spreckels JE, Andreu-Sánchez S, Gacesa R, Vich Vila A, Brushett S, Kruk M, Dekens J, Sikkema J, Kuipers F, Shkoporov AN, Hill C, Scherjon S, Wijmenga C, Fu J, Kurilshikov A, Zhernakova A. Transmission and dynamics of mother-infant gut viruses during pregnancy and early life. Nat Commun 2024; 15:1945. [PMID: 38431663 PMCID: PMC10908809 DOI: 10.1038/s41467-024-45257-4] [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: 08/15/2023] [Accepted: 01/16/2024] [Indexed: 03/05/2024] Open
Abstract
Early development of the gut ecosystem is crucial for lifelong health. While infant gut bacterial communities have been studied extensively, the infant gut virome remains under-explored. To study the development of the infant gut virome over time and the factors that shape it, we longitudinally assess the composition of gut viruses and their bacterial hosts in 30 women during and after pregnancy and in their 32 infants during their first year of life. Using shotgun metagenomic sequencing applied to dsDNA extracted from Virus-Like Particles (VLPs) and bacteria, we generate 205 VLP metaviromes and 322 total metagenomes. With this data, we show that while the maternal gut virome composition remains stable during late pregnancy and after birth, the infant gut virome is dynamic in the first year of life. Notably, infant gut viromes contain a higher abundance of active temperate phages compared to maternal gut viromes, which decreases over the first year of life. Moreover, we show that the feeding mode and place of delivery influence the gut virome composition of infants. Lastly, we provide evidence of co-transmission of viral and bacterial strains from mothers to infants, demonstrating that infants acquire some of their virome from their mother's gut.
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Affiliation(s)
- Sanzhima Garmaeva
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Trishla Sinha
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Anastasia Gulyaeva
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nataliia Kuzub
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Johanne E Spreckels
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Sergio Andreu-Sánchez
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ranko Gacesa
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Arnau Vich Vila
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Siobhan Brushett
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marloes Kruk
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jackie Dekens
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- University Medical Center Groningen, Center for Development and Innovation, Groningen, Netherlands
| | - Jan Sikkema
- University Medical Center Groningen, Center for Development and Innovation, Groningen, Netherlands
| | - Folkert Kuipers
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- European Research Institute for the Biology of Ageing (ERIBA), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andrey N Shkoporov
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- School of Microbiology, University College Cork, Cork, Ireland
| | - Colin Hill
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- School of Microbiology, University College Cork, Cork, Ireland
| | - Sicco Scherjon
- Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jingyuan Fu
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander Kurilshikov
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
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Wang M, Zhang R, Shu JP, Zheng XL, Wu XY, Chen JB, Wang MN, Shen H, Yan YH. Whole Genome Duplication Events Likely Contributed to the Aquatic Adaptive Evolution of Parkerioideae. PLANTS (BASEL, SWITZERLAND) 2024; 13:521. [PMID: 38498522 PMCID: PMC10893450 DOI: 10.3390/plants13040521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 03/20/2024]
Abstract
As the only aquatic lineage of Pteridaceae, Parkerioideae is distinct from many xeric-adapted species of the family and consists of the freshwater Ceratopteris species and the only mangrove ferns from the genus Acrostichum. Previous studies have shown that whole genome duplication (WGD) has occurred in Parkerioideae at least once and may have played a role in their adaptive evolution; however, more in-depth research regarding this is still required. In this study, comparative and evolutionary transcriptomics analyses were carried out to identify WGDs and explore their roles in the environmental adaptation of Parkerioideae. Three putative WGD events were identified within Parkerioideae, two of which were specific to Ceratopteris and Acrostichum, respectively. The functional enrichment analysis indicated that the lineage-specific WGD events have played a role in the adaptation of Parkerioideae to the low oxygen concentrations of aquatic habitats, as well as different aquatic environments of Ceratopteris and Acrostichum, such as the adaptation of Ceratopteris to reduced light levels and the adaptation of Acrostichum to high salinity. Positive selection analysis further provided evidence that the putative WGD events may have facilitated the adaptation of Parkerioideae to changes in habitat. Moreover, the gene family analysis indicated that the plasma membrane H+-ATPase (AHA), vacuolar H+-ATPase (VHA), and suppressor of K+ transport growth defect 1 (SKD1) may have been involved in the high salinity adaptation of Acrostichum. Our study provides new insights into the evolution and adaptations of Parkerioideae in different aquatic environments.
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Affiliation(s)
- Meng Wang
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China; (M.W.); (J.-P.S.); (X.-Y.W.); (J.-B.C.); (M.-N.W.)
| | - Rui Zhang
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China; (R.Z.); (H.S.)
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China
| | - Jiang-Ping Shu
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China; (M.W.); (J.-P.S.); (X.-Y.W.); (J.-B.C.); (M.-N.W.)
- Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Xi-Long Zheng
- School of Traditional Medicine Materials Resource, Guangdong Pharmaceutical University, Yunfu 527322, China;
| | - Xin-Yi Wu
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China; (M.W.); (J.-P.S.); (X.-Y.W.); (J.-B.C.); (M.-N.W.)
| | - Jian-Bing Chen
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China; (M.W.); (J.-P.S.); (X.-Y.W.); (J.-B.C.); (M.-N.W.)
| | - Mei-Na Wang
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China; (M.W.); (J.-P.S.); (X.-Y.W.); (J.-B.C.); (M.-N.W.)
| | - Hui Shen
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China; (R.Z.); (H.S.)
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China
| | - Yue-Hong Yan
- Shenzhen Key Laboratory for Orchid Conservation and Utilization, Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation and Research Center of Shenzhen, Shenzhen 518114, China; (M.W.); (J.-P.S.); (X.-Y.W.); (J.-B.C.); (M.-N.W.)
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45
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Louw NL, Wolfe BE, Uricchio LH. A phylogenomic perspective on interspecific competition. Ecol Lett 2024; 27:e14359. [PMID: 38332550 DOI: 10.1111/ele.14359] [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: 04/24/2023] [Revised: 10/30/2023] [Accepted: 11/16/2023] [Indexed: 02/10/2024]
Abstract
Evolutionary processes may have substantial impacts on community assembly, but evidence for phylogenetic relatedness as a determinant of interspecific interaction strength remains mixed. In this perspective, we consider a possible role for discordance between gene trees and species trees in the interpretation of phylogenetic signal in studies of community ecology. Modern genomic data show that the evolutionary histories of many taxa are better described by a patchwork of histories that vary along the genome rather than a single species tree. If a subset of genomic loci harbour trait-related genetic variation, then the phylogeny at these loci may be more informative of interspecific trait differences than the genome background. We develop a simple method to detect loci harbouring phylogenetic signal and demonstrate its application through a proof-of-principle analysis of Penicillium genomes and pairwise interaction strength. Our results show that phylogenetic signal that may be masked genome-wide could be detectable using phylogenomic techniques and may provide a window into the genetic basis for interspecific interactions.
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Affiliation(s)
- Nicolas L Louw
- Department of Biology, Tufts University, Medford, Massachusetts, USA
| | - Benjamin E Wolfe
- Department of Biology, Tufts University, Medford, Massachusetts, USA
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46
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Bianchini G, Sánchez‐Baracaldo P. TreeViewer: Flexible, modular software to visualise and manipulate phylogenetic trees. Ecol Evol 2024; 14:e10873. [PMID: 38314311 PMCID: PMC10834882 DOI: 10.1002/ece3.10873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 12/04/2023] [Indexed: 02/06/2024] Open
Abstract
Phylogenetic trees illustrate evolutionary relationships between taxa or genes. Tree figures are crucial when presenting results and data, and by creating clear and effective plots, researchers can describe many kinds of evolutionary patterns. However, producing tree plots can be a time-consuming task, especially as multiple different programs are often needed to adjust and illustrate all data associated with a tree. We present TreeViewer, a new software to draw phylogenetic trees. TreeViewer is flexible, modular, and user-friendly. Plots are produced as the result of a user-defined pipeline, which can be finely customised and easily applied to different trees. Every feature of the program is documented and easily accessible, either in the online manual or within the program's interface. We show how TreeViewer can be used to produce publication-ready figures, saving time by not requiring additional graphical post-processing tools. TreeViewer is freely available for Windows, macOS, and Linux operating systems and distributed under an AGPLv3 licence from https://treeviewer.org. It has a graphical user interface (GUI), as well as a command-line interface, which is useful to work with very large trees and for automated pipelines. A detailed user manual with examples and tutorials is also available. TreeViewer is mainly aimed at users wishing to produce highly customised, publication-quality tree figures using a single GUI software tool. Compared to other GUI tools, TreeViewer offers a richer feature set and a finer degree of customisation. Compared to command-line-based tools and software libraries, TreeViewer's graphical interface is more accessible. The flexibility of TreeViewer's approach to phylogenetic tree plotting enables the program to produce a wide variety of publication-ready figures. Users are encouraged to create their own custom modules to expand the functionalities of the program. This sets the scene for an ever-expanding and ever-adapting software framework that can easily adjust to respond to new challenges.
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47
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Ennis D, Shmorak S, Jantscher-Krenn E, Yassour M. Longitudinal quantification of Bifidobacterium longum subsp. infantis reveals late colonization in the infant gut independent of maternal milk HMO composition. Nat Commun 2024; 15:894. [PMID: 38291346 PMCID: PMC10827747 DOI: 10.1038/s41467-024-45209-y] [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: 07/19/2023] [Accepted: 01/15/2024] [Indexed: 02/01/2024] Open
Abstract
Breast milk contains human milk oligosaccharides (HMOs) that cannot be digested by infants, yet nourish their developing gut microbiome. While Bifidobacterium are the best-known utilizers of individual HMOs, a longitudinal study examining the evolving microbial community at high-resolution coupled with mothers' milk HMO composition is lacking. Here, we developed a high-throughput method to quantify Bifidobacterium longum subsp. infantis (BL. infantis), a proficient HMO-utilizer, and applied it to a longitudinal cohort consisting of 21 mother-infant dyads. We observed substantial changes in the infant gut microbiome over the course of several months, while the HMO composition in mothers' milk remained relatively stable. Although Bifidobacterium species significantly influenced sample variation, no specific HMOs correlated with Bifidobacterium species abundance. Surprisingly, we found that BL. infantis colonization began late in the breastfeeding period both in our cohort and in other geographic locations, highlighting the importance of focusing on BL. infantis dynamics in the infant gut.
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Affiliation(s)
- Dena Ennis
- Microbiology & Molecular Genetics Department, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Shimrit Shmorak
- Microbiology & Molecular Genetics Department, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | | | - Moran Yassour
- Microbiology & Molecular Genetics Department, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
- The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
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48
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Konstanti P, Ligthart K, Fryganas C, Constantinos P, Smidt H, de Vos WM, Belzer C. Physiology of γ-aminobutyric acid production by Akkermansia muciniphila. Appl Environ Microbiol 2024; 90:e0112123. [PMID: 38088552 PMCID: PMC10807452 DOI: 10.1128/aem.01121-23] [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: 07/10/2023] [Accepted: 11/06/2023] [Indexed: 01/25/2024] Open
Abstract
Gut bacteria hold the potential to produce a broad range of metabolites that can modulate human functions, including molecules with neuroactive potential. One such molecule is γ-aminobutyric acid (GABA), the main inhibitory neurotransmitter of the central nervous system in animals. Metagenomic analyses suggest that the genomes of many gut bacteria encode glutamate decarboxylase (GAD), the enzyme that catalyzes GABA production. The genome of Akkermansia muciniphila, a mucin specialist and potential next-generation probiotic from the human gut, is predicted to encode GAD, suggesting a contributing role in GABA production in the human gut. In this study, A. muciniphila was grown in batch cultures with and without pH control. In both experiments, A. muciniphila was found to produce GABA as a response to acid (pH <5.5), although only when GABA precursors, either glutamate or glutamine, were present in the medium. Proteomic analysis comparing A. muciniphila grown with and without precursors at pH 4 did not show a difference in GAD expression, suggesting that it is expressed regardless of the presence of GABA precursors. To further investigate the function of A. muciniphila GAD, we heterologously expressed the gad gene (encoded by locus tag Amuc_0372) with a His tag in Escherichia coli and purified the GAD protein. Enzyme assays showed GAD activity in a pH range between 4 and 6, with the highest specific activity at pH 5 of 144 ± 16 µM GABA/min/mg. Overall, our results demonstrate the ability of A. muciniphila to produce GABA as an acid response and unravel the conditions under which GABA production in A. muciniphila occurs.IMPORTANCEAkkermansia muciniphila is considered to be a beneficial bacterium from the human gut, but the exact mechanisms by which A. muciniphila influences its host are not yet fully understood. To this end, it is important to identify which metabolites are produced and consumed by A. muciniphila that may contribute to a healthy gut. In the present study, we demonstrate the ability of A. muciniphila to produce γ-aminobutyric acid (GABA) when grown in an acidic environment, which often occurs in the gut. GABA is the major inhibitory neurotransmitter in the central nervous system and is present in the human gut. For this reason, it is considered an important bacterial metabolite. Our finding that A. muciniphila produces GABA in acidic environments adds to the growing body of understanding of its relationship with host health and provides an explanation on how it can survive acid stress in the human gut.
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Affiliation(s)
- Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
| | - Kate Ligthart
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
| | - Christos Fryganas
- Food Quality and Design, Wageningen University & Research, Wageningen, the Netherlands
| | - Patinios Constantinos
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
| | - Hauke Smidt
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
| | - Willem M. de Vos
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
- Human Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University & Research, Wageningen, the Netherlands
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49
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Liu F, Zhang Y, Zhang Y, Yang J, Shen W, Yang S, Quan Z, Liu B, Yuan Z, Zhang Y. Thermodynamic restrictions determine ammonia tolerance of functional floras during anaerobic digestion. BIORESOURCE TECHNOLOGY 2024; 391:129919. [PMID: 37884096 DOI: 10.1016/j.biortech.2023.129919] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/14/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
Ammonia inhibition is a major challenge in anaerobic digestion processes, affecting the activity and performance of functional floras, including syntrophic butyrate oxidation (FSBO), syntrophic propionate oxidation (FSPO), acetoclastic methanogenesis (FAMs), and hydrogenotrophic methanogenesis (FHMs). FHMs was more tolerant to ammonia, with a half maximal inhibitory concentration (IC50) of 18.80 g/L, followed by FSBO (IC50 = 14.26 g/L) and FSPO (IC50 = 10.47 g/L), and FAMs was the most sensitive to ammonia with the lowest IC50 (1.74 g/L). The order of ammonia tolerance (IC50) was found to be correlated with the Gibbs free energy of metabolic reactions in each functional flora. The results suggested the functional flora with higher energy availability (exergonic capacity) exhibited enhanced ammonia resistance ability. These findings provide insights into the thermodynamic restrictions and ammonia tolerance mechanisms of functional floras, which can guide the optimization and operation of anaerobic digestion systems for efficient methane production.
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Affiliation(s)
- Fengqin Liu
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Yifan Zhang
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Yu Zhang
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Jiale Yang
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Wenyan Shen
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Shuilian Yang
- College of Resources and Environmental Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Zhiyu Quan
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Bingshan Liu
- Analytical Instrument Center, Henan Agricultural University, Wenhua Road No. 95, Zhengzhou 450002, China
| | - Zhiliang Yuan
- College of Life Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China
| | - Yupeng Zhang
- College of Resources and Environmental Sciences, Henan Agricultural University, No.63 Agricultural Road, Zhengzhou 450002, China.
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50
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Zhernakova DV, Wang D, Liu L, Andreu-Sánchez S, Zhang Y, Ruiz-Moreno AJ, Peng H, Plomp N, Del Castillo-Izquierdo Á, Gacesa R, Lopera-Maya EA, Temba GS, Kullaya VI, van Leeuwen SS, Xavier RJ, de Mast Q, Joosten LAB, Riksen NP, Rutten JHW, Netea MG, Sanna S, Wijmenga C, Weersma RK, Zhernakova A, Harmsen HJM, Fu J. Host genetic regulation of human gut microbial structural variation. Nature 2024; 625:813-821. [PMID: 38172637 PMCID: PMC10808065 DOI: 10.1038/s41586-023-06893-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 11/23/2023] [Indexed: 01/05/2024]
Abstract
Although the impact of host genetics on gut microbial diversity and the abundance of specific taxa is well established1-6, little is known about how host genetics regulates the genetic diversity of gut microorganisms. Here we conducted a meta-analysis of associations between human genetic variation and gut microbial structural variation in 9,015 individuals from four Dutch cohorts. Strikingly, the presence rate of a structural variation segment in Faecalibacterium prausnitzii that harbours an N-acetylgalactosamine (GalNAc) utilization gene cluster is higher in individuals who secrete the type A oligosaccharide antigen terminating in GalNAc, a feature that is jointly determined by human ABO and FUT2 genotypes, and we could replicate this association in a Tanzanian cohort. In vitro experiments demonstrated that GalNAc can be used as the sole carbohydrate source for F. prausnitzii strains that carry the GalNAc-metabolizing pathway. Further in silico and in vitro studies demonstrated that other ABO-associated species can also utilize GalNAc, particularly Collinsella aerofaciens. The GalNAc utilization genes are also associated with the host's cardiometabolic health, particularly in individuals with mucosal A-antigen. Together, the findings of our study demonstrate that genetic associations across the human genome and bacterial metagenome can provide functional insights into the reciprocal host-microbiome relationship.
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Affiliation(s)
- Daria V Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Daoming Wang
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, The Netherlands
| | - Lei Liu
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, The Netherlands
| | - Sergio Andreu-Sánchez
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, The Netherlands
| | - Yue Zhang
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, The Netherlands
| | - Angel J Ruiz-Moreno
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, The Netherlands
| | - Haoran Peng
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Niels Plomp
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, The Netherlands
| | - Ángela Del Castillo-Izquierdo
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, The Netherlands
| | - Ranko Gacesa
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, The Netherlands
| | - Esteban A Lopera-Maya
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Godfrey S Temba
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Tanzania
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Vesla I Kullaya
- Department of Medical Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Tanzania
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Center, Moshi, Tanzania
| | - Sander S van Leeuwen
- University of Groningen, University Medical Center Groningen, Department of Laboratory Medicine, Groningen, The Netherlands
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Computational and Integrative Biology, Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Quirijn de Mast
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Leo A B Joosten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Genetics, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Niels P Riksen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Joost H W Rutten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mihai G Netea
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Immunology and Metabolism, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
- Human Genomics Laboratory, Craiova University of Medicine and Pharmacy, Craiova, Romania
| | - Serena Sanna
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
- Institute for Genetic and Biomedical Research, National Research Council, Cagliari, Italy
| | - Cisca Wijmenga
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Rinse K Weersma
- University of Groningen, University Medical Center Groningen, Department of Gastroenterology and Hepatology, Groningen, The Netherlands
| | - Alexandra Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Hermie J M Harmsen
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, The Netherlands.
| | - Jingyuan Fu
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.
- University of Groningen, University Medical Center Groningen, Department of Pediatrics, Groningen, The Netherlands.
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