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Teng JLL, Tang Y, Wong SSY, Yeung ML, Cai JP, Chen C, Chan E, Fong JYH, Au-Yeung RKH, Xiong L, Lau TCK, Lau SKP, Woo PCY. Mycolyltransferase is important for biofilm formation and pathogenesis of Tsukamurella keratitis. Emerg Microbes Infect 2024; 13:2373317. [PMID: 38934251 PMCID: PMC11229725 DOI: 10.1080/22221751.2024.2373317] [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: 03/22/2024] [Accepted: 06/22/2024] [Indexed: 06/28/2024]
Abstract
Tsukamurella, a group of multi-drug resistant, Gram-positive, aerobic, and partially acid-fast bacteria, are emerging causes of bacterial conjunctivitis and keratitis. However, the pathogenesis of Tsukamurella keratitis is largely unknown. To address this, we used New Zealand White rabbits to develop the first eye infection model and conducted in vitro tests to study the pathogenesis mechanisms of Tsukamurella. There is increasing evidence that biofilms play a significant role in ocular infections, leading us to hypothesize that biofilm formation is crucial for effective Tsukamurella infection. In order to look for potential candidate genes which are important in biofilm formation and Tsukamurella keratitis. We performed genome sequencing of two ocular isolates, T. pulmonis-PW1004 and T. tyrosinosolvens-PW899, to identify potential virulence factors. Through in vitro and in vivo studies, we characterized their biological roles in mediating Tsukamurella keratitis. Our findings confirmed that Tsukamurella is an ocular pathogen by fulfilling Koch's postulates, and using genome sequence data, we identified tmytC, encoding a mycolyltransferase, as a crucial gene in biofilm formation and causing Tsukamurella keratitis in the rabbit model. This is the first report demonstrating the novel role of mycolyltransferase in causing ocular infections. Overall, our findings contribute to a better understanding of Tsukamurella pathogenesis and provide a potential target for treatment. Specific inhibitors targeting TmytC could serve as an effective treatment option for Tsukamurella infections.
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Affiliation(s)
- Jade Lee-Lee Teng
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Ying Tang
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Samson Sai-Yin Wong
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Man Lung Yeung
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, People’s Republic of China
- Carol Yu Centre for Infection, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Jian-Pao Cai
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Chen Chen
- Beijing Ditan Hospital, Capital Medical University, Beijing Key Laboratory of Emerging infectious Diseases, Beijing, People’s Republic of China
| | - Elaine Chan
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Jordan Yik-Hei Fong
- Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Rex Kwok-Him Au-Yeung
- Department of Pathology, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Lifeng Xiong
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Terrence Chi-Kong Lau
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Susanna Kar-Pui Lau
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
| | - Patrick Chiu-Yat Woo
- Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People’s Republic of China
- Doctoral Program in Translational Medicine and Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan
- The iEGG and Animal Biotechnology Research Center, National Chung Hsing University, Taichung, Taiwan
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2
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Gupta A, Shivachandran A, Saleena LM. Oral microbiome insights: Tracing acidic culprits in dental caries with functional metagenomics. Arch Oral Biol 2024; 168:106064. [PMID: 39216430 DOI: 10.1016/j.archoralbio.2024.106064] [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: 04/22/2024] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVE This study aimed to investigate the presence and abundance of acid-producing bacteria in dental caries samples using functional gene prediction techniques. DESIGN A total of 24 dental caries samples were collected for analysis. DNA isolation was performed followed by shotgun metagenomic sequencing. Functional gene prediction techniques were used to identify enzymes responsible for acid production from primary metabolites. Enzymes responsible for converting primary metabolites into acids were identified from the KEGG database. Subsequently, 840 contigs were examined, and their genus and species were characterized. RESULTS Analysis of the obtained data revealed 31 KEGG IDs corresponding to enzymes involved in the conversion of primary metabolites into acids. All 117 identified genera from the contig analysis were found to be part of the oral microbiome. In addition, A higher prevalence of acid-producing bacteria was noted in dental caries samples compared to earlier reports. CONCLUSION The study indicates the significant role of acid-producing bacteria in the initiation and progression of dental caries. The findings highlight the importance of microbial activity in the demineralization process of tooth enamel. Methods for preventing dental decay may be promising if specific measures are implemented to reduce the amount of acid produced by oral bacteria.
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Affiliation(s)
- Annapurna Gupta
- Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kanchipuram, Chennai, Tamil Nadu 603203, India
| | - A Shivachandran
- Department of Oral Pathology, SRM Dental College and Hospital, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kanchipuram, Chennai, Tamil Nadu 603203, India
| | - Lilly M Saleena
- Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kanchipuram, Chennai, Tamil Nadu 603203, India.
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3
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Do DT, Yang MR, Vo TNS, Le NQK, Wu YW. Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains. Comput Struct Biotechnol J 2024; 23:1864-1876. [PMID: 38707536 PMCID: PMC11067008 DOI: 10.1016/j.csbj.2024.04.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 04/13/2024] [Accepted: 04/13/2024] [Indexed: 05/07/2024] Open
Abstract
In current genomic research, the widely used methods for predicting antimicrobial resistance (AMR) often rely on prior knowledge of known AMR genes or reference genomes. However, these methods have limitations, potentially resulting in imprecise predictions owing to incomplete coverage of AMR mechanisms and genetic variations. To overcome these limitations, we propose a pan-genome-based machine learning approach to advance our understanding of AMR gene repertoires and uncover possible feature sets for precise AMR classification. By building compacted de Brujin graphs (cDBGs) from thousands of genomes and collecting the presence/absence patterns of unique sequences (unitigs) for Pseudomonas aeruginosa, we determined that using machine learning models on unitig-centered pan-genomes showed significant promise for accurately predicting the antibiotic resistance or susceptibility of microbial strains. Applying a feature-selection-based machine learning algorithm led to satisfactory predictive performance for the training dataset (with an area under the receiver operating characteristic curve (AUC) of > 0.929) and an independent validation dataset (AUC, approximately 0.77). Furthermore, the selected unitigs revealed previously unidentified resistance genes, allowing for the expansion of the resistance gene repertoire to those that have not previously been described in the literature on antibiotic resistance. These results demonstrate that our proposed unitig-based pan-genome feature set was effective in constructing machine learning predictors that could accurately identify AMR pathogens. Gene sets extracted using this approach may offer valuable insights into expanding known AMR genes and forming new hypotheses to uncover the underlying mechanisms of bacterial AMR.
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Affiliation(s)
- Duyen Thi Do
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Ming-Ren Yang
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Tran Nam Son Vo
- Department of Business Administration, College of Management, Lunghwa University of Science and Technology, Taoyuan City, Taiwan
| | - Nguyen Quoc Khanh Le
- Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yu-Wei Wu
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
- Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei, Taiwan
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4
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Woo HJ, Kim J, Kim SM, Kim D, Moon JY, Park D, Lee JS. Context-dependent genomic locus effects on antibody production in recombinant Chinese hamster ovary cells generated through random integration. Comput Struct Biotechnol J 2024; 23:1654-1665. [PMID: 38680870 PMCID: PMC11046053 DOI: 10.1016/j.csbj.2024.04.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/30/2024] [Accepted: 04/07/2024] [Indexed: 05/01/2024] Open
Abstract
High-yield production of therapeutic protein using Chinese hamster ovary (CHO) cells requires stable cell line development (CLD). CLD typically uses random integration of transgenes; however, this results in clonal variation and subsequent laborious clone screening. Therefore, site-specific integration of a protein expression cassette into a desired chromosomal locus showing high transcriptional activity and stability, referred to as a hot spot, is emerging. Although positional effects are important for therapeutic protein expression, the sequence-specific mechanisms by which hotspots work are not well understood. In this study, we performed whole-genome sequencing (WGS) to locate randomly inserted vectors in the genome of recombinant CHO cells expressing high levels of monoclonal antibodies (mAbs) and experimentally validated these locations and vector compositions. The integration site was characterized by active histone marks and potential enhancer activities, and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) mediated indel mutations in the region upstream of the integration site led to a significant reduction in specific antibody productivity by up to 30%. Notably, the integration site and its core region did not function equivalently outside the native genomic context, showing a minimal effect on the increase in exogenous protein expression in the host cell line. We also observed a superior production capacity of the mAb expressing cell line compared to that of the host cell line. Collectively, this study demonstrates that developing recombinant CHO cell lines to produce therapeutic proteins at high levels requires a balance of factors including transgene configuration, genomic locus landscape, and host cell properties.
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Affiliation(s)
- Hyun Jee Woo
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Jaehoon Kim
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
- Molecular Science and Technology Research Center, Ajou University, Suwon 16499, Republic of Korea
| | - Seul Mi Kim
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Dongwoo Kim
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Jae Yun Moon
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
| | - Daechan Park
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
- Department of Biological Sciences, Ajou University, Suwon 16499, Republic of Korea
| | - Jae Seong Lee
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea
- Department of Applied Chemistry and Biological Engineering, Ajou University, Suwon 16499, Republic of Korea
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5
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Zhang C, Shao Z, Kong Y, Du H, Li W, Yang Z, Li X, Ke H, Sun Z, Shao J, Chen S, Zhang H, Chu J, Xing X, Tian R, Qin N, Li J, Huang M, Sun Y, Huo X, Meng C, Wang G, Liu Y, Ma Z, Tian S, Li X. High-quality genome of a modern soybean cultivar and resequencing of 547 accessions provide insights into the role of structural variation. Nat Genet 2024:10.1038/s41588-024-01901-9. [PMID: 39251789 DOI: 10.1038/s41588-024-01901-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 08/08/2024] [Indexed: 09/11/2024]
Abstract
Soybean provides protein, oil and multiple health-related compounds. Understanding the effects of structural variations (SVs) on economic traits in modern breeding is important for soybean improvement. Here we assembled the high-quality genome of modern cultivar Nongdadou2 (NDD2) and identified 25,814 SV-gene pairs compared to 29 reported genomes, with 13 NDD2-private SVs validated in 547 deep-resequencing (average = 18.05-fold) accessions, which advances our understanding of genomic variation biology. We found some insertions/deletions involved in seed protein and weight formation, an inversion related to adaptation to drought and a large intertranslocation implicated in a key divergence event in soybean. Of 749,714 SVs from 547 accessions, 6,013 were significantly associated with 22 yield-related and seed-quality-related traits determined in ten location × year environments. We uncovered 1,761 associated SVs that hit genes or regulatory regions, with 12 in GmMQT influencing oil and isoflavone contents. Our work provides resources and insights into SV roles in soybean improvement.
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Affiliation(s)
- Caiying Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.
| | - Zhenqi Shao
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Youbin Kong
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Hui Du
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Wenlong Li
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Zhanwu Yang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Xiangkong Li
- Novogene Bioinformatics Institute, Beijing, China
| | - Huifeng Ke
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Zhengwen Sun
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Jiabiao Shao
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Shiliang Chen
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Hua Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Jiahao Chu
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Xinzhu Xing
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Rui Tian
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Ning Qin
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Junru Li
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Meihong Huang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Yaqian Sun
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Xiaobo Huo
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Chengsheng Meng
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Guoning Wang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Yuan Liu
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China
| | - Zhiying Ma
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.
| | - Shilin Tian
- Novogene Bioinformatics Institute, Beijing, China.
| | - Xihuan Li
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China.
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6
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Chen SL, Tiruvayipati S, Tang WY, M. S. Barkham T. Multilocus sequence typing database for Streptococcus agalactiae contains a spurious allele of the transketolase gene. Microbiol Spectr 2024; 12:e0053724. [PMID: 39052441 PMCID: PMC11370237 DOI: 10.1128/spectrum.00537-24] [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: 02/27/2024] [Accepted: 05/30/2024] [Indexed: 07/27/2024] Open
Abstract
The tkt (transketolase) gene is one of the seven gene fragments used in the multilocus sequence typing (MLST) system for Streptococcus agalactiae. We discovered that the tkt_134 allele is derived from a homologous gene (which we designate tktX) that is not present in all S. agalactiae; all known strains that contain a match to the tkt_134 allele also contain a gene sequence that is much closer in sequence identity to the other non-tkt_134 alleles (i.e., the canonical tkt gene) in the database. Based on these data, the tkt_134 allele has been removed from the MLST database as of September 2021, and all sequence types containing tkt_134 have also been removed.IMPORTANCEMultilocus sequence typing (MLST) databases are a common good and remain important for research, medical, and epidemiological purposes. This remains true even in the context of widespread whole-genome sequencing. We discovered a contaminating allele of the tkt gene in the S. agalactiae MLST database that led to unstable, ambiguous, or erroneous MLST assignment. The allele has since been removed from the public database based on the results presented in this manuscript.
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Affiliation(s)
- Swaine L. Chen
- Infectious Diseases Translational Research Programme, Department of Medicine, Division of Infectious Diseases, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Laboratory of Bacterial Genomics, Genome Institute of Singapore, Singapore, Singapore
| | - Suma Tiruvayipati
- Infectious Diseases Translational Research Programme, Department of Medicine, Division of Infectious Diseases, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wen Ying Tang
- Department of Laboratory Medicine, Tan Tock Seng Hospital, Singapore, Singapore
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Garg V, Bohra A, Mascher M, Spannagl M, Xu X, Bevan MW, Bennetzen JL, Varshney RK. Unlocking plant genetics with telomere-to-telomere genome assemblies. Nat Genet 2024; 56:1788-1799. [PMID: 39048791 DOI: 10.1038/s41588-024-01830-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 06/12/2024] [Indexed: 07/27/2024]
Abstract
Contiguous genome sequence assemblies will help us to realize the full potential of crop translational genomics. Recent advances in sequencing technologies, especially long-read sequencing strategies, have made it possible to construct gapless telomere-to-telomere (T2T) assemblies, thus offering novel insights into genome organization and function. Plant genomes pose unique challenges, such as a continuum of ancient to recent polyploidy and abundant highly similar and long repetitive elements. Owing to progress in sequencing approaches, for most crop plants, chromosome-scale reference genome assemblies are available, but T2T assembly construction remains challenging. Here we describe methods for haplotype-resolved, gapless T2T assembly construction in plants, including various crop species. We outline the impact of T2T assemblies in elucidating the roles of repetitive elements in gene regulation, as well as in pangenomics, functional genomics, genome-assisted breeding and targeted genome manipulation. In conjunction with sequence-enriched germplasm repositories, T2T assemblies thus hold great promise for basic and applied plant sciences.
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Affiliation(s)
- Vanika Garg
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
| | - Abhishek Bohra
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
- ICAR-Indian Institute of Pulses Research, Kanpur, India
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Seeland, Germany
| | - Manuel Spannagl
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
- Plant Genome and Systems Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Xun Xu
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
- BGI-Shenzhen, Shenzhen, China
| | | | | | - Rajeev K Varshney
- WA State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.
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Abdelaziz MNS, Maung AT, El-Telbany M, Lwin SZC, Noor Mohammadi T, Zayda M, Wang C, Damaso CH, Lin Y, Masuda Y, Honjoh KI, Miyamoto T. Applications of bacteriophage in combination with nisin for controlling multidrug-resistant Bacillus cereus in broth and various food matrices. Food Res Int 2024; 191:114685. [PMID: 39059942 DOI: 10.1016/j.foodres.2024.114685] [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: 03/11/2024] [Revised: 06/21/2024] [Accepted: 06/26/2024] [Indexed: 07/28/2024]
Abstract
This study focused on the isolation and characterization of bacteriophages with specific activity against toxin-producing and multidrug-resistant strains of Bacillus cereus sensu stricto (B. cereus s. s.). Ten different samples yielded six bacteriophages by utilizing the double-layer agar technique. The most promising phage, vB_BceS-M2, was selected based on its broad host range and robust lytic activity against various B. cereus s. s. strains. The phage vB_BceS-M2 had a circular double-stranded DNA genome of 56,482 bp. This phage exhibited stability over a wide range of temperatures and pH values, which is crucial for its potential application in food matrices. The combined effect of phage vB_BceS-M2 and nisin, a widely used antimicrobial peptide, was investigated to enhance antimicrobial efficacy against B. cereus in food. The results suggested that nisin showed synergy and combined effect with the phage, potentially overcoming the growth of phage-resistant bacteria in the broth. Furthermore, practical applications were conducted in various liquid and solid food matrices, including whole and skimmed milk, boiled rice, cheese, and frozen meatballs, both at 4 and 25 °C. Phage vB_BceS-M2, either alone or in combination with nisin, reduced the growth rate of B. cereus in foods other than whole milk. The combination of bacteriophage and nisin showed promise for the development of effective antimicrobial interventions to counteract toxigenic and antibiotic-resistant B. cereus in food.
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Affiliation(s)
- Marwa Nabil Sayed Abdelaziz
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan; Department of Food Hygiene, Animal Health Research Institute (AHRI), Agriculture Research Center (ARC), Giza 12618, Egypt
| | - Aye Thida Maung
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Mohamed El-Telbany
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Su Zar Chi Lwin
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | | | - Mahmoud Zayda
- Department of Food Hygiene and Control, Faculty of Veterinary Medicine, University of Sadat City, Sadat City, Monofiya 32897, Egypt
| | - Chen Wang
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Catherine Hofilena Damaso
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Yunzhi Lin
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Yoshimitsu Masuda
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Ken-Ichi Honjoh
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Takahisa Miyamoto
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.
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9
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Hu B, Wang J, Li L, Wang Q, Qin J, Chi Y, Yan J, Sun W, Cao B, Guo X. Functional Identification and Genetic Analysis of O-Antigen Gene Clusters of Food-Borne Pathogen Yersinia enterocolitica O:10 and Other Uncommon Serotypes, Further Revealing Their Virulence Profiles. J Microbiol Biotechnol 2024; 34:1599-1608. [PMID: 39081257 PMCID: PMC11380512 DOI: 10.4014/jmb.2402.02044] [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: 02/26/2024] [Revised: 06/09/2024] [Accepted: 06/25/2024] [Indexed: 08/29/2024]
Abstract
Yersinia enterocolitica is a globally distributed food-borne gastrointestinal pathogen. The O-antigen variation-determined serotype is an important characteristic of Y. enterocolitica, allowing intraspecies classification for diagnosis and epidemiology purposes. Among the 11 serotypes associated with human yersiniosis, O:3, O:5,27, O:8, and O:9 are the most prevalent, and their O-antigen gene clusters have been well defined. In addition to the O-antigen, several virulence factors are involved in infection and pathogenesis of Y. enterocolitica strains, and these are closely related to their biotypes, reflecting pathogenic properties. In this study, we identified the O-AGC of a Y. enterocolitica strain WL-21 of serotype O:10, and confirmed its functionality in O-antigen synthesis. Furthermore, we analyzed in silico the putative O-AGCs of uncommon serotypes, and found that the O-AGCs of Y. enterocolitica were divided into two genetic patterns: (1) O-AGC within the hemH-gsk locus, possibly synthesizing the O-antigen via the Wzx/Wzy dependent pathway, and (2) O-AGC within the dcuC-galU-galF locus, very likely assembling the O-antigen via the ABC transporter dependent pathway. By screening the virulence genes against genomes from GenBank, we discovered that strains representing different serotypes were grouped according to different virulence gene profiles, indicating strong links between serotypes and virulence markers and implying an interaction between them and the synergistic effect in pathogenicity. Our study provides a framework for further research on the origin and evolution of O-AGCs from Y. enterocolitica, as well as on differences in virulent mechanisms among distinct serotypes.
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Affiliation(s)
- Bin Hu
- Shandong Center for Disease Control and Prevention, 16992 City Ten Road, Jinan 250014, Shandong, P.R. China
| | - Jing Wang
- TEDA Institute of Biological Sciences and Biotechnology, Nankai University, 23 Hongda Street, TEDA, Tianjin 300457, P.R. China
| | - Linxing Li
- TEDA Institute of Biological Sciences and Biotechnology, Nankai University, 23 Hongda Street, TEDA, Tianjin 300457, P.R. China
| | - Qin Wang
- Disease Prevention and Control Center of Ganzhou District, 27 Xianfu Street, Ganzhou District, Zhangye City, Gansu Province, P.R. China
| | - Jingliang Qin
- TEDA Institute of Biological Sciences and Biotechnology, Nankai University, 23 Hongda Street, TEDA, Tianjin 300457, P.R. China
| | - Yingxin Chi
- Shandong Center for Disease Control and Prevention, 16992 City Ten Road, Jinan 250014, Shandong, P.R. China
| | - Junxiang Yan
- TEDA Institute of Biological Sciences and Biotechnology, Nankai University, 23 Hongda Street, TEDA, Tianjin 300457, P.R. China
| | - Wenkui Sun
- Shandong Center for Disease Control and Prevention, 16992 City Ten Road, Jinan 250014, Shandong, P.R. China
| | - Boyang Cao
- TEDA Institute of Biological Sciences and Biotechnology, Nankai University, 23 Hongda Street, TEDA, Tianjin 300457, P.R. China
| | - Xi Guo
- TEDA Institute of Biological Sciences and Biotechnology, Nankai University, 23 Hongda Street, TEDA, Tianjin 300457, P.R. China
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10
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Berner K, Zoza-Veloz M, Nolan M, Graham D, Ivanova N, Seshadri R, Spring S, Escobar M. Draft genome sequences of Butyrivibrio hungatei DSM 14810 (JK 615 T) and Butyrivibrio fibrisolvens DSM 3071 (D1 T). Microbiol Resour Announc 2024:e0051724. [PMID: 39194265 DOI: 10.1128/mra.00517-24] [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: 05/14/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024] Open
Abstract
Here, we report the draft genome sequences of two Butyrivibrio-type strains isolated from rumen fluid. The genome sequence of Butyrivibrio hungatei DSM 14810 was 3.3 Mb with 3,093 predicted genes, while the Butyrivibrio fibrisolvens DSM 3071 genome sequence was 4.8 Mb with 4,132 predicted genes.
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Affiliation(s)
- Keely Berner
- Department of Biological Sciences, California State University San Marcos, San Marcos, California, USA
| | - Michelle Zoza-Veloz
- Department of Biological Sciences, California State University San Marcos, San Marcos, California, USA
| | - Matt Nolan
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Danielle Graham
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Natalia Ivanova
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Rekha Seshadri
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Stefan Spring
- Department Microorganisms, Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Matthew Escobar
- Department of Biological Sciences, California State University San Marcos, San Marcos, California, USA
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11
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Gao J, Zhu Y, Zhang R, Xu J, Zhou R, Di M, Zhang D, Liang W, Zhou X, Ren X, Li H, Yang Y. Isolation and Characterization of a Novel Phage against Vibrio alginolyticus Belonging to a New Genus. Int J Mol Sci 2024; 25:9132. [PMID: 39201817 PMCID: PMC11354583 DOI: 10.3390/ijms25169132] [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: 06/24/2024] [Revised: 08/16/2024] [Accepted: 08/21/2024] [Indexed: 09/03/2024] Open
Abstract
Vibrio alginolyticus causes substantial economic losses in the aquaculture industry. With the rise of multidrug-resistant Vibrio strains, phages present a promising solution. Here, a novel lytic Vibrio phage, vB_ValC_RH2G (RH2G), that efficiently infects the pathogenic strain V. alginolyticus ATCC 17749T, was isolated from mixed wastewater from an aquatic market in Xiamen, China. Transmission electron microscopy revealed that RH2G has the morphology of Siphoviruses, featuring an icosahedral head (73 ± 2 nm diameter) and long noncontractile tail (142 ± 4 nm). A one-step growth experiment showed that RH2G had a short latent period (10 min) and a burst size of 48 phage particles per infected cell. Additionally, RH2G was highly species-specific and was relatively stable at 4-55 °C and pH 4-10. A genomic analysis showed that RH2G has a 116,749 bp double-stranded DNA genome with 43.76% GC content. The intergenomic similarity between the genome sequence of RH2G and other phages recorded in the GenBank database was below 38.8%, suggesting that RH2G represents a new genus. RH2G did not exhibit any virulence or resistance genes. Its rapid lysis capacity, lytic activity, environmental resilience, and genetic safety suggested that RH2G may be a safe candidate for phage therapy in combatting vibriosis in aquaculture settings.
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Affiliation(s)
- Jie Gao
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University (Xiang’an), Xiamen 361005, China
| | - Yuang Zhu
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
| | - Rui Zhang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518061, China;
| | - Juntian Xu
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
| | - Runjie Zhou
- State Key Laboratory of Trophic Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
- Centre for Regional Oceans, Department of Ocean Science and Technology, Faculty of Science and Technology, University of Macau, Macau 999078, China
| | - Meiqi Di
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
| | - Di Zhang
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development/Ministry of Natural Resources, Beihai 536000, China
| | - Wenxin Liang
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
| | - Xing Zhou
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
| | - Xing Ren
- Guangxi Key Laboratory of Beibu Gulf Marine Resources, Environment and Sustainable Development/Ministry of Natural Resources, Beihai 536000, China
| | - Huifang Li
- Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China; (J.G.); (J.X.); (D.Z.)
- State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University (Xiang’an), Xiamen 361005, China
| | - Yunlan Yang
- Institute for Advanced Study, Shenzhen University, Shenzhen 518061, China;
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12
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Pires J, Brandal LT, Naseer U. Development and implementation of a core genome multilocus sequence typing scheme for Yersinia enterocolitica: a tool for surveillance and outbreak detection. J Clin Microbiol 2024; 62:e0004024. [PMID: 38990041 PMCID: PMC11325262 DOI: 10.1128/jcm.00040-24] [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: 01/11/2024] [Accepted: 06/06/2024] [Indexed: 07/12/2024] Open
Abstract
Yersinia enterocolitica (Y. enterocolitica) is the most frequent etiological agent of yersiniosis and has been responsible for several national outbreaks in Norway and elsewhere. A standardized high-resolution method, such as core genome Multilocus Sequence Typing (cgMLST), is needed for pathogen traceability at the national and international levels. In this study, we developed and implemented a cgMLST scheme for Y. enterocolitica. We designed a cgMLST scheme in SeqSphere + using high-quality genomes from different Y. enterocolitica biotype sublineages. The scheme was validated if more than 95% of targets were found across all tested Y. enterocolitica: 563 Norwegian genomes collected between 2012 and 2022 and 327 genomes from public data sets. We applied the scheme to known outbreaks to establish a threshold for identifying major complex types (CTs) based on the number of allelic differences. The final cgMLST scheme included 2,582 genes with a median of 97.9% (interquartile range 97.6%-98.8%) targets found across all tested genomes. Analysis of outbreaks identified all outbreak strains using single linkage clustering at four allelic differences. This threshold identified 311 unique CTs in Norway, of which CT18, CT12, and CT5 were identified as the most frequently associated with outbreaks. The cgMLST scheme showed a very good performance in typing Y. enterocolitica using diverse data sources and was able to identify outbreak clusters. We recommend the implementation of this scheme nationally and internationally to facilitate Y. enterocolitica surveillance and improve outbreak response in national and cross-border outbreaks.
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Affiliation(s)
- Joao Pires
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
- ECDC Fellowship Programme, Public Health Microbiology path (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
| | - Lin T Brandal
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Umaer Naseer
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
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13
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Bhowmik O, Rahman T, Kalyanaraman A. Maptcha: an efficient parallel workflow for hybrid genome scaffolding. BMC Bioinformatics 2024; 25:263. [PMID: 39118013 PMCID: PMC11313021 DOI: 10.1186/s12859-024-05878-4] [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: 03/01/2024] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Genome assembly, which involves reconstructing a target genome, relies on scaffolding methods to organize and link partially assembled fragments. The rapid evolution of long read sequencing technologies toward more accurate long reads, coupled with the continued use of short read technologies, has created a unique need for hybrid assembly workflows. The construction of accurate genomic scaffolds in hybrid workflows is complicated due to scale, sequencing technology diversity (e.g., short vs. long reads, contigs or partial assemblies), and repetitive regions within a target genome. RESULTS In this paper, we present a new parallel workflow for hybrid genome scaffolding that would allow combining pre-constructed partial assemblies with newly sequenced long reads toward an improved assembly. More specifically, the workflow, called Maptcha, is aimed at generating long scaffolds of a target genome, from two sets of input sequences-an already constructed partial assembly of contigs, and a set of newly sequenced long reads. Our scaffolding approach internally uses an alignment-free mapping step to build a ⟨ contig,contig ⟩ graph using long reads as linking information. Subsequently, this graph is used to generate scaffolds. We present and evaluate a graph-theoretic "wiring" heuristic to perform this scaffolding step. To enable efficient workload management in a parallel setting, we use a batching technique that partitions the scaffolding tasks so that the more expensive alignment-based assembly step at the end can be efficiently parallelized. This step also allows the use of any standalone assembler for generating the final scaffolds. CONCLUSIONS Our experiments with Maptcha on a variety of input genomes, and comparison against two state-of-the-art hybrid scaffolders demonstrate that Maptcha is able to generate longer and more accurate scaffolds substantially faster. In almost all cases, the scaffolds produced by Maptcha are at least an order of magnitude longer (in some cases two orders) than the scaffolds produced by state-of-the-art tools. Maptcha runs significantly faster too, reducing time-to-solution from hours to minutes for most input cases. We also performed a coverage experiment by varying the sequencing coverage depth for long reads, which demonstrated the potential of Maptcha to generate significantly longer scaffolds in low coverage settings ( 1 × - 10 × ).
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Affiliation(s)
- Oieswarya Bhowmik
- School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA.
| | - Tazin Rahman
- School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA
| | - Ananth Kalyanaraman
- School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, 99164, USA
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14
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Berthold-Pluta A, Stefańska I, Forsythe S, Aleksandrzak-Piekarczyk T, Stasiak-Różańska L, Garbowska M. Genomic Analysis of Cronobacter condimenti s37: Identification of Resistance and Virulence Genes and Comparison with Other Cronobacter and Closely Related Species. Int J Mol Sci 2024; 25:8622. [PMID: 39201307 PMCID: PMC11354601 DOI: 10.3390/ijms25168622] [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: 07/02/2024] [Revised: 08/03/2024] [Accepted: 08/05/2024] [Indexed: 09/02/2024] Open
Abstract
Cronobacter condimenti are environmental commensals that have not been associated with any clinical infections. To date, they are the least understood and described Cronobacter species within the genus. The objective of this study was to use a draft genome sequence (DGS) of the Cronobacter condimenti strain s37 to screen for genes encoding for antibiotic resistance, virulence, response to environmental stress, and biofilm formation. The strain was isolated in Poland from commercial small radish sprouts. This is the second genome of this species available in the GenBank database. The comparative genome analysis (cgMLST) of C. condimenti s37 with other Cronobacter spp. including the pathogenic species C. sakazakii and the plant-associated closely related genera Franconibacter and Siccibacter was also performed. The assembled and annotated genome of the C. condimenti s37 genome was 4,590,991 bp in length, with a total gene number of 4384, and a GC content of 55.7%. The s 37 genome encoded for genes associated with resistance to stressful environmental conditions (metal resistance genes: zinc, copper, osmotic regulation, and desiccation stress), 17 antimicrobial resistance genes encoding resistance to various classes of antibiotics and 50 genes encoding for the virulence factors. The latter were mainly genes associated with adhesion, chemotaxis, hemolysis, and biofilm formation. Cg-MLST analysis (3991 genes) revealed a greater similarity of C. condimenti s37 to S. turicensis, F. pulveris, and C. dublinensis than to other species of the genus Cronobacter. Studies on the diversity, pathogenicity, and virulence of Cronobacter species isolated from different sources are still insufficient and should certainly be continued. Especially the analysis of rare strains such as s37 is very important because it provides new information on the evolution of these bacteria. Comparative cgMLST analysis of s37 with other Cronobacter species, as well as closely related genera Franconibacter and Siccibacter, complements the knowledge on their adaptability to specific environments such as desiccation.
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Affiliation(s)
- Anna Berthold-Pluta
- Department of Technology and Food Assessment, Division of Milk Technology, Institute of Food Sciences, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland; (A.B.-P.); (L.S.-R.)
| | - Ilona Stefańska
- Department of Preclinical Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland;
| | | | | | - Lidia Stasiak-Różańska
- Department of Technology and Food Assessment, Division of Milk Technology, Institute of Food Sciences, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland; (A.B.-P.); (L.S.-R.)
| | - Monika Garbowska
- Department of Technology and Food Assessment, Division of Milk Technology, Institute of Food Sciences, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, Poland; (A.B.-P.); (L.S.-R.)
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15
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Yamashita T, Rhoads DD, Pummill J. A robust genome assembly with transcriptomic data from the striped bark scorpion, Centruroides vittatus. G3 (BETHESDA, MD.) 2024; 14:jkae120. [PMID: 38885085 PMCID: PMC11304958 DOI: 10.1093/g3journal/jkae120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/21/2024] [Indexed: 06/20/2024]
Abstract
Scorpions, a seemingly primitive, stinging arthropod taxa, are known to exhibit marked diversity in their venom components. These venoms are known for their human pathology, but they are also important as models for therapeutic and drug development applications. In this study, we report a high-quality genome assembly and annotation of the striped bark scorpion, Centruroides vittatus, created with several shotgun libraries. The final assembly is 760 Mb in size, with a BUSCO score of 97.8%, a 30.85% GC, and an N50 of 2.35 Mb. We estimated 36,189 proteins with 37.32% assigned to Gene Ontology (GO) terms in our GO annotation analysis. We mapped venom toxin genes to 18 contigs and 2 scaffolds. We were also able to identify expression differences between venom gland (telson) and body tissue (carapace) with 19 sodium toxin and 14 potassium toxin genes to 18 contigs and 2 scaffolds. This assembly, along with our transcriptomic data, provides further data to investigate scorpion venom genomics.
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Affiliation(s)
- Tsunemi Yamashita
- Department of Biological Sciences, Arkansas Tech University, Russellville, AR 72801, USA
| | - Douglas D Rhoads
- Department of Biological Sciences, University of Arkansas-Fayetteville, Fayetteville, AR 72701, USA
| | - Jeff Pummill
- High Performance Computing Center, University of Arkansas-Fayetteville, Fayetteville, AR 72701, USA
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16
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Johno D, Zhang Y, Mohammadi TN, Zhao J, Lin Y, Wang C, Lu Y, Abdelaziz MNS, Maung AT, Lin CY, El-Telbany M, Lwin SZC, Damaso CH, Masuda Y, Honjoh KI, Miyamoto T. Characterization of selected phages for biocontrol of food-spoilage pseudomonads. Int Microbiol 2024; 27:1333-1344. [PMID: 38206524 DOI: 10.1007/s10123-023-00479-2] [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] [Revised: 12/20/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024]
Abstract
Pseudomonas spp., such as P. fluorescens group, P. fragi, and P. putida, are the major psychrophilic spoilage bacteria in the food industry. Bacteriophages (phages) are a promising tool for controlling food-spoilage and food-poisoning bacteria; however, there are few reports on phages effective on food-spoilage bacteria such as Pseudomonas spp. In this study, 12 Pseudomonas phages were isolated from chicken and soil samples. Based on the host range and lytic activity at 30 °C and 4 °C and various combinations of phages, phages vB_PflP-PCS4 and vB_PflP-PCW2 were selected to prepare phage cocktails to control Pseudomonas spp. The phage cocktail consisting of vB_PflP-PCS4 and vB_PflP-PCW2 showed the strongest lytic activity and retarded regrowth of P. fluorescens and P. putida at 30 °C, 8 °C, and 4 °C at a multiplicity of infection of 100. Nucleotide sequence analysis of the genomic DNA indicated that vB_PflP-PCS4 and vB_PflP-PCW2 phages were lytic phages of the Podoviridae family and lacked tRNA, toxin, or virulence genes. A novel endolysin gene was found in the genomic DNA of phage vB_PflP-PCS4. The results of this study suggest that the phage cocktail consisting of vB_PflP-PCS4 and vB_PflP-PCW2 is a promising tool for the biocontrol of psychrophilic food-spoilage pseudomonads during cold storage and distribution.
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Affiliation(s)
- Daisuke Johno
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Yu Zhang
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Tahir Noor Mohammadi
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Junxin Zhao
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, China
| | - Yunzhi Lin
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Chen Wang
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Yuan Lu
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Marwa Nabil Sayed Abdelaziz
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Aye Thida Maung
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Chen-Yu Lin
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Mohamed El-Telbany
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Su Zar Chi Lwin
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Catherine Hofilena Damaso
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Yoshimitsu Masuda
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Ken-Ichi Honjoh
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan
| | - Takahisa Miyamoto
- Department of Bioscience and Biotechnology, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan.
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17
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Sorée M, Lozach S, Kéomurdjian N, Richard D, Hughes A, Delbarre-Ladrat C, Verrez-Bagnis V, Rincé A, Passerini D, Ritchie JM, Heath DH. Virulence phenotypes differ between toxigenic Vibrio parahaemolyticus isolated from western coasts of Europe. Microbiol Res 2024; 285:127744. [PMID: 38735242 DOI: 10.1016/j.micres.2024.127744] [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: 10/02/2023] [Revised: 04/19/2024] [Accepted: 04/30/2024] [Indexed: 05/14/2024]
Abstract
Vibrio parahaemolyticus is the leading bacterial cause of gastroenteritis associated with seafood consumption worldwide. Not all members of the species are thought to be pathogenic, thus identification of virulent organisms is essential to protect public health and the seafood industry. Correlations of human disease and known genetic markers (e.g. thermostable direct hemolysin (TDH), TDH-related hemolysin (TRH)) appear complex. Some isolates recovered from patients lack these factors, while their presence has become increasingly noted in isolates recovered from the environment. Here, we used whole-genome sequencing in combination with mammalian and insect models of infection to assess the pathogenic potential of V. parahaemolyticus isolated from European Atlantic shellfish production areas. We found environmental V. parahaemolyticus isolates harboured multiple virulence-associated genes, including TDH and/or TRH. However, carriage of these factors did not necessarily reflect virulence in the mammalian intestine, as an isolate containing TDH and the genes coding for a type 3 secretion system (T3SS) 2α virulence determinant, appeared avirulent. Moreover, environmental V. parahaemolyticus lacking TDH or TRH could be assigned to groups causing low and high levels of mortality in insect larvae, with experiments using defined bacterial mutants showing that a functional T3SS1 contributed to larval death. When taken together, our findings highlight the genetic diversity of V. parahaemolyticus isolates found in the environment, their potential to cause disease and the need for a more systematic evaluation of virulence in diverse V. parahaemolyticus to allow better genetic markers.
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Affiliation(s)
| | - Solen Lozach
- Ifremer, Univ Brest, CNRS, IRD, LEMAR, Plouzané F-29280, France
| | | | | | - Alexandra Hughes
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom
| | | | | | - Alain Rincé
- Biotargen, Université de Caen Normandie, Saint-Contest F-14380, France
| | | | - Jennifer M Ritchie
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom.
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18
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Gasser MT, Liu A, Flatau R, Altamia M, Filone CM, Distel D. Closing the genome of Teredinibacter turnerae T7902 by long-read nanopore sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.30.605897. [PMID: 39131338 PMCID: PMC11312579 DOI: 10.1101/2024.07.30.605897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
We present the complete closed circular genome sequence derived from Oxford Nanopore sequencing of the shipworm endosymbiont Teredinibacter turnerae T7902 (DSM 15152, ATCC 39867), originally isolated from the shipworm Lyrodus pedicellatus (1). This sequence will aid in the comparative genomics of shipworm endosymbionts and the understanding of host-symbiont evolution.
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Affiliation(s)
- Mark T. Gasser
- Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA 20723
| | - Annie Liu
- Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA 20723
| | - Ron Flatau
- Ocean Genome Legacy Center, Northeastern University, Nahant, Massachusetts, USA 01908
| | - Marvin Altamia
- Ocean Genome Legacy Center, Northeastern University, Nahant, Massachusetts, USA 01908
| | - Claire Marie Filone
- Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA 20723
| | - Dan Distel
- Ocean Genome Legacy Center, Northeastern University, Nahant, Massachusetts, USA 01908
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19
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Huang W, Markantonis JE, Yin C, Pozdol JR, Briley KP, Fallon JT. Local Genomic Surveillance of Invasive Streptococcus pyogenes in Eastern North Carolina (ENC) in 2022-2023. Int J Mol Sci 2024; 25:8179. [PMID: 39125755 PMCID: PMC11311789 DOI: 10.3390/ijms25158179] [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: 04/24/2024] [Revised: 07/13/2024] [Accepted: 07/15/2024] [Indexed: 08/12/2024] Open
Abstract
The recent increase in Group A Streptococcus (GAS) incidences in several countries across Europe and some areas of the Unites States (U.S.) has raised concerns. To understand GAS diversity and prevalence, we conducted a local genomic surveillance in Eastern North Carolina (ENC) in 2022-2023 with 95 isolates and compared its results to those of the existing national genomic surveillance in the U.S. in 2015-2021 with 13,064 isolates. We observed their epidemiological changes before and during the COVID-19 pandemic and detected a unique sub-lineage in ENC among the most common invasive GAS strain, ST28/emm1. We further discovered a multiple-copy insertion sequence, ISLgar5, in ST399/emm77 and its single-copy variants in some other GAS strains. We discovered ISLgar5 was linked to a Tn5801-like tetM-carrying integrative and conjugative element, and its copy number was associated with an ermT-carrying pRW35-like plasmid. The dynamic insertions of ISLgar5 may play a vital role in genome fitness and adaptation, driving GAS evolution relevant to antimicrobial resistance and potentially GAS virulence.
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Affiliation(s)
- Weihua Huang
- Department of Pathology and Laboratory Medicine, Brody School of Medicine, Eastern Carolina University, Greenville, NC 27834, USA; (J.E.M.); (C.Y.); (J.R.P.); (K.P.B.); (J.T.F.)
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20
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Li H, Marin M, Farhat MR. Exploring gene content with pangene graphs. BIOINFORMATICS (OXFORD, ENGLAND) 2024; 40:btae456. [PMID: 39041615 DOI: 10.1093/bioinformatics/btae456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 05/28/2024] [Accepted: 07/22/2024] [Indexed: 07/24/2024]
Abstract
MOTIVATION The gene content regulates the biology of an organism. It varies between species and between individuals of the same species. Although tools have been developed to identify gene content changes in bacterial genomes, none is applicable to collections of large eukaryotic genomes such as the human pangenome. RESULTS We developed pangene, a computational tool to identify gene orientation, gene order and gene copy-number changes in a collection of genomes. Pangene aligns a set of input protein sequences to the genomes, resolves redundancies between protein sequences and constructs a gene graph with each genome represented as a walk in the graph. It additionally finds subgraphs, which we call bibubbles, that capture gene content changes. Applied to the human pangenome, pangene identifies known gene-level variations and reveals complex haplotypes that are not well studied before. Pangene also works with high-quality bacterial pangenome and reports similar numbers of core and accessory genes in comparison to existing tools. AVAILABILITY AND IMPLEMENTATION Source code at https://github.com/lh3/pangene; pre-built pangene graphs can be downloaded from https://zenodo.org/records/8118576 and visualized at https://pangene.bioinweb.org.
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Affiliation(s)
- Heng Li
- Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02215, USA
- Broad Insitute of Harvard and MIT, Cambridge, MA 02142, USA
| | | | - Maha Reda Farhat
- Harvard Medical School, Boston, MA 02215, USA
- Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, USA
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21
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Theobald S, Vesth TC, Geib E, Nybo JL, Frisvad JC, Larsen TO, Kuo A, LaButti K, Lyhne EK, Kjærbølling I, Ledsgaard L, Barry K, Clum A, Chen C, Nolan M, Sandor L, Lipzen A, Mondo S, Pangilinan J, Salamov A, Riley R, Wiebenga A, Müller A, Kun RS, dos Santos Gomes AC, Henrissat B, Magnuson JK, Simmons BA, Mäkelä MR, Mortensen UH, Grigoriev IV, Brock M, Baker SE, de Vries RP, Andersen MR. Genomic Analysis of Aspergillus Section Terrei Reveals a High Potential in Secondary Metabolite Production and Plant Biomass Degradation. J Fungi (Basel) 2024; 10:507. [PMID: 39057392 PMCID: PMC11278011 DOI: 10.3390/jof10070507] [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: 06/11/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
Aspergillus terreus has attracted interest due to its application in industrial biotechnology, particularly for the production of itaconic acid and bioactive secondary metabolites. As related species also seem to possess a prosperous secondary metabolism, they are of high interest for genome mining and exploitation. Here, we present draft genome sequences for six species from Aspergillus section Terrei and one species from Aspergillus section Nidulantes. Whole-genome phylogeny confirmed that section Terrei is monophyletic. Genome analyses identified between 70 and 108 key secondary metabolism genes in each of the genomes of section Terrei, the highest rate found in the genus Aspergillus so far. The respective enzymes fall into 167 distinct families with most of them corresponding to potentially unique compounds or compound families. Moreover, 53% of the families were only found in a single species, which supports the suitability of species from section Terrei for further genome mining. Intriguingly, this analysis, combined with heterologous gene expression and metabolite identification, suggested that species from section Terrei use a strategy for UV protection different to other species from the genus Aspergillus. Section Terrei contains a complete plant polysaccharide degrading potential and an even higher cellulolytic potential than other Aspergilli, possibly facilitating additional applications for these species in biotechnology.
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Affiliation(s)
- Sebastian Theobald
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Tammi C. Vesth
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Elena Geib
- School of Life Sciences, University of Nottingham, Nottingham NG7 2RD, UK; (E.G.); (M.B.)
| | - Jane L. Nybo
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Jens C. Frisvad
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Thomas O. Larsen
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Alan Kuo
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Kurt LaButti
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Ellen K. Lyhne
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Inge Kjærbølling
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Line Ledsgaard
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Kerrie Barry
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Alicia Clum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Cindy Chen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Matt Nolan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Laura Sandor
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Anna Lipzen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Stephen Mondo
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Jasmyn Pangilinan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Asaf Salamov
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Robert Riley
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
| | - Ad Wiebenga
- Fungal Physiology, Westerdijk Fungal Biodiversity Institute and Fungal Molecular Physiology, Utrecht University, 3584 Utrecht, The Netherlands; (A.W.); (A.M.); (R.S.K.); (A.C.d.S.G.)
| | - Astrid Müller
- Fungal Physiology, Westerdijk Fungal Biodiversity Institute and Fungal Molecular Physiology, Utrecht University, 3584 Utrecht, The Netherlands; (A.W.); (A.M.); (R.S.K.); (A.C.d.S.G.)
| | - Roland S. Kun
- Fungal Physiology, Westerdijk Fungal Biodiversity Institute and Fungal Molecular Physiology, Utrecht University, 3584 Utrecht, The Netherlands; (A.W.); (A.M.); (R.S.K.); (A.C.d.S.G.)
| | - Ana Carolina dos Santos Gomes
- Fungal Physiology, Westerdijk Fungal Biodiversity Institute and Fungal Molecular Physiology, Utrecht University, 3584 Utrecht, The Netherlands; (A.W.); (A.M.); (R.S.K.); (A.C.d.S.G.)
| | - Bernard Henrissat
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
- Department of Biological Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Jon K. Magnuson
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (J.K.M.); (B.A.S.)
- US Department of Energy Joint Bioenergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA
| | - Blake A. Simmons
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (J.K.M.); (B.A.S.)
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Miia R. Mäkelä
- Department of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland;
| | - Uffe H. Mortensen
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
| | - Igor V. Grigoriev
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (A.K.); (K.L.); (K.B.); (A.C.); (C.C.); (M.N.); (L.S.); (A.L.); (S.M.); (J.P.); (A.S.); (R.R.); (I.V.G.)
- Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Matthias Brock
- School of Life Sciences, University of Nottingham, Nottingham NG7 2RD, UK; (E.G.); (M.B.)
| | - Scott E. Baker
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (J.K.M.); (B.A.S.)
- US Department of Energy Joint Bioenergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA
| | - Ronald P. de Vries
- Fungal Physiology, Westerdijk Fungal Biodiversity Institute and Fungal Molecular Physiology, Utrecht University, 3584 Utrecht, The Netherlands; (A.W.); (A.M.); (R.S.K.); (A.C.d.S.G.)
| | - Mikael R. Andersen
- Department of Biotechnology and Bioengineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (S.T.); (T.C.V.); (J.L.N.); (J.C.F.); (T.O.L.); (E.K.L.); (I.K.); (L.L.); (B.H.); (U.H.M.)
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22
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Junjun R, Zhengqian Z, Ying W, Jialiang W, Yongzhuang L. A comprehensive review of deep learning-based variant calling methods. Brief Funct Genomics 2024; 23:303-313. [PMID: 38366908 DOI: 10.1093/bfgp/elae003] [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: 12/01/2023] [Revised: 01/14/2024] [Accepted: 01/18/2023] [Indexed: 02/18/2024] Open
Abstract
Genome sequencing data have become increasingly important in the field of personalized medicine and diagnosis. However, accurately detecting genomic variations remains a challenging task. Traditional variation detection methods rely on manual inspection or predefined rules, which can be time-consuming and prone to errors. Consequently, deep learning-based approaches for variation detection have gained attention due to their ability to automatically learn genomic features that distinguish between variants. In our review, we discuss the recent advancements in deep learning-based algorithms for detecting small variations and structural variations in genomic data, as well as their advantages and limitations.
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Affiliation(s)
- Ren Junjun
- Harbin Institute of Technology, School of Computer Science and Technology, Harbin 150001, China
| | - Zhang Zhengqian
- Harbin Institute of Technology, School of Computer Science and Technology, Harbin 150001, China
| | - Wu Ying
- Harbin Institute of Technology, School of Computer Science and Technology, Harbin 150001, China
| | - Wang Jialiang
- Harbin Institute of Technology, School of Computer Science and Technology, Harbin 150001, China
| | - Liu Yongzhuang
- Harbin Institute of Technology, School of Computer Science and Technology, Harbin 150001, China
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23
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Seng R, Chomkatekaew C, Tandhavanant S, Saiprom N, Phunpang R, Thaipadungpanit J, Batty EM, Day NPJ, Chantratita W, West TE, Thomson NR, Parkhill J, Chewapreecha C, Chantratita N. Genetic diversity, determinants, and dissemination of Burkholderia pseudomallei lineages implicated in melioidosis in Northeast Thailand. Nat Commun 2024; 15:5699. [PMID: 38972886 PMCID: PMC11228029 DOI: 10.1038/s41467-024-50067-9] [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: 06/02/2023] [Accepted: 06/28/2024] [Indexed: 07/09/2024] Open
Abstract
Melioidosis is an often-fatal neglected tropical disease caused by an environmental bacterium Burkholderia pseudomallei. However, our understanding of the disease-causing bacterial lineages, their dissemination, and adaptive mechanisms remains limited. To address this, we conduct a comprehensive genomic analysis of 1,391 B. pseudomallei isolates collected from nine hospitals in northeast Thailand between 2015 and 2018, and contemporaneous isolates from neighbouring countries, representing the most densely sampled collection to date. Our study identifies three dominant lineages, each with unique gene sets potentially enhancing bacterial fitness in the environment. We find that recombination drives lineage-specific gene flow. Transcriptome analyses of representative clinical isolates from each dominant lineage reveal increased expression of lineage-specific genes under environmental conditions in two out of three lineages. This underscores the potential importance of environmental persistence for these dominant lineages. The study also highlights the influence of environmental factors such as terrain slope, altitude, and river direction on the geographical dispersal of B. pseudomallei. Collectively, our findings suggest that environmental persistence may play a role in facilitating the spread of B. pseudomallei, and as a prerequisite for exposure and infection, thereby providing useful insights for informing melioidosis prevention and control strategies.
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Affiliation(s)
- Rathanin Seng
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Chalita Chomkatekaew
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Sarunporn Tandhavanant
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Natnaree Saiprom
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Rungnapa Phunpang
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Janjira Thaipadungpanit
- Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Elizabeth M Batty
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nicholas P J Day
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Wasun Chantratita
- Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - T Eoin West
- Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Nicholas R Thomson
- Parasites and Microbes Wellcome Sanger Institute, Cambridge, UK
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Claire Chewapreecha
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
- Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
- Parasites and Microbes Wellcome Sanger Institute, Cambridge, UK.
- Previous Affiliations: Bioinformatics and Systems Biology Program, School of Bioresource and Technology, King Mongkut University of Technology Thonburi, Bangkok, Thailand.
| | - Narisara Chantratita
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
- Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
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24
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Weimann A, Dinan AM, Ruis C, Bernut A, Pont S, Brown K, Ryan J, Santos L, Ellison L, Ukor E, Pandurangan AP, Krokowski S, Blundell TL, Welch M, Blane B, Judge K, Bousfield R, Brown N, Bryant JM, Kukavica-Ibrulj I, Rampioni G, Leoni L, Harrison PT, Peacock SJ, Thomson NR, Gauthier J, Fothergill JL, Levesque RC, Parkhill J, Floto RA. Evolution and host-specific adaptation of Pseudomonas aeruginosa. Science 2024; 385:eadi0908. [PMID: 38963857 DOI: 10.1126/science.adi0908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/02/2024] [Indexed: 07/06/2024]
Abstract
The major human bacterial pathogen Pseudomonas aeruginosa causes multidrug-resistant infections in people with underlying immunodeficiencies or structural lung diseases such as cystic fibrosis (CF). We show that a few environmental isolates, driven by horizontal gene acquisition, have become dominant epidemic clones that have sequentially emerged and spread through global transmission networks over the past 200 years. These clones demonstrate varying intrinsic propensities for infecting CF or non-CF individuals (linked to specific transcriptional changes enabling survival within macrophages); have undergone multiple rounds of convergent, host-specific adaptation; and have eventually lost their ability to transmit between different patient groups. Our findings thus explain the pathogenic evolution of P. aeruginosa and highlight the importance of global surveillance and cross-infection prevention in averting the emergence of future epidemic clones.
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Affiliation(s)
- Aaron Weimann
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Adam M Dinan
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK
| | - Christopher Ruis
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Audrey Bernut
- Laboratory of Pathogens and Host Immunity (LPHI), UMR5235, CNRS/Université de Montpellier, Montpellier, France
| | - Stéphane Pont
- Laboratory of Pathogens and Host Immunity (LPHI), UMR5235, CNRS/Université de Montpellier, Montpellier, France
| | - Karen Brown
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge, UK
| | - Judy Ryan
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Lúcia Santos
- Department of Physiology, Bioscience Institute, University College Cork, Cork, Ireland
| | - Louise Ellison
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Emem Ukor
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge, UK
| | - Arun P Pandurangan
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Sina Krokowski
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Tom L Blundell
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Martin Welch
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Beth Blane
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Kim Judge
- Wellcome Sanger Institute, Hinxton, UK
| | - Rachel Bousfield
- Department of Medicine, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals Trust, Cambridge, UK
| | | | | | - Irena Kukavica-Ibrulj
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, Québec, Canada
| | - Giordano Rampioni
- Department of Science, University Roma Tre, Rome, Italy
- IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Livia Leoni
- Department of Science, University Roma Tre, Rome, Italy
| | - Patrick T Harrison
- Department of Physiology, Bioscience Institute, University College Cork, Cork, Ireland
| | - Sharon J Peacock
- Department of Medicine, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals Trust, Cambridge, UK
| | - Nicholas R Thomson
- Wellcome Sanger Institute, Hinxton, UK
- London School of Hygiene and Tropical Medicine, London, UK
| | - Jeff Gauthier
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, Québec, Canada
| | - Jo L Fothergill
- Department of Clinical Infection, Microbiology and Immunology, University of Liverpool, Liverpool, UK
| | - Roger C Levesque
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, Québec, Canada
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - R Andres Floto
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- University of Cambridge Molecular Immunity Unit, MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge Centre for AI in Medicine, University of Cambridge, Cambridge, UK
- Cambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
- Cambridge University Hospitals Trust, Cambridge, UK
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25
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Tsai HK, Sabbagh MF, Montesion M, Williams EA, Arbini A, Boué DR, Harris EM, Wachter F, Grimmett L, Place AE, Lucas F, Nardi V, Kim AS, Brugnara C, Degar B, Pollard J, Harris MH, Bledsoe JR. Acute Promyelocytic Leukemia With Torque Teno Mini Virus::RARA Fusion: An Approach to Screening and Diagnosis. Mod Pathol 2024; 37:100509. [PMID: 38704030 DOI: 10.1016/j.modpat.2024.100509] [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: 03/22/2024] [Accepted: 04/20/2024] [Indexed: 05/06/2024]
Abstract
Acute promyelocytic leukemia (APL) with variant RARA translocation is linked to over 15 partner genes. Recent publications encompassing 6 cases have expanded the spectrum of RARA partners to torque teno mini virus (TTMV). This entity is likely underrecognized due to the lack of clinician and pathologist familiarity, inability to detect the fusion using routine testing modalities, and informatic challenges in its recognition within next-generation sequencing (NGS) data. We describe a clinicopathologic approach and provide the necessary tools to screen and diagnose APL with TTMV::RARA using existing clinical DNA- or RNA-based NGS assays, which led to the identification of 4 cases, all without other known cytogenetic/molecular drivers. One was identified prospectively and 3 retrospectively, including 2 from custom automated screening of multiple data sets (50,257 cases of hematopoietic malignancy, including 4809 acute myeloid leukemia/myeloid sarcoma/APL cases). Two cases presented as myeloid sarcoma, including 1 with multiple relapses after acute myeloid leukemia-type chemotherapy and hematopoietic stem cell transplant. Two cases presented as leukemia, had a poor response to induction chemotherapy, but achieved remission upon reinduction (including all-trans retinoic acid in 1 case) and subsequent hematopoietic stem cell transplant. Neoplastic cells demonstrated features of APL including frequent azurophilic granules and dim/absent CD34 and HLA-DR expression. RARA rearrangement was not detected by karyotype or fluorescent in situ hybridization. Custom analysis of NGS fusion panel data identified TTMV::RARA rearrangements and, in the prospectively identified case, facilitated monitoring in sequential bone marrow samples. APL with TTMV::RARA is a rare leukemia with a high rate of treatment failure in described cases. The diagnosis should be considered in leukemias with features of APL that lack detectable RARA fusions and other drivers, and may be confirmed by appropriate NGS tests with custom informatics. Incorporation of all-trans retinoic acid may have a role in treatment but requires accurate recognition of the fusion for appropriate classification as APL.
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Affiliation(s)
- Harrison K Tsai
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mark F Sabbagh
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Erik A Williams
- Department of Pathology and Laboratory Medicine, University of Miami, Sylvester Comprehensive Cancer Center, and Jackson Memorial Hospitals, Miami, Florida; Foundation Medicine Inc, Boston, Massachusetts
| | - Arnaldo Arbini
- Department of Pathology, NYU Grossman School of Medicine, New York City, New York
| | - Daniel R Boué
- Department of Pathology & Laboratory Medicine, Nationwide Children's Hospital and The Ohio State University, Columbus, Ohio
| | - Emily M Harris
- Dana Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Massachusetts
| | - Franziska Wachter
- Department of Laboratory Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Leslie Grimmett
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Andrew E Place
- Dana Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Massachusetts
| | - Fabienne Lucas
- Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Valentina Nardi
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Annette S Kim
- Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carlo Brugnara
- Department of Laboratory Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Barbara Degar
- Dana Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Massachusetts
| | - Jessica Pollard
- Dana Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Massachusetts
| | - Marian H Harris
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jacob R Bledsoe
- Department of Pathology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.
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26
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Jara-Servin A, Mejia G, Romero MF, Peimbert M, Alcaraz LD. Unravelling the genomic and environmental diversity of the ubiquitous Solirubrobacter. Environ Microbiol 2024; 26:e16685. [PMID: 39147372 DOI: 10.1111/1462-2920.16685] [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: 01/12/2024] [Accepted: 07/12/2024] [Indexed: 08/17/2024]
Abstract
Solirubrobacter, though widespread in soils and rhizospheres, has been relatively unexplored despite its ubiquity. Previously acknowledged as a common soil bacterium, our research explores its phylogenomics, pangenomics, environmental diversity, and interactions within bacterial communities. By analysing seven genomic sequences, we have identified a pangenome consisting of 19,645 protein families, of which 2644 are shared across all studied genomes, forming the core genome. Interestingly, despite the non-motility of reported isolates, we discovered genes for flagellin and a partial flagellum assembly pathway. Examining the 16S ribosomal RNA genes of Solirubrobacter revealed substantial diversity, with 3166 operational taxonomic units identified in Mexican soils. Co-occurrence network analysis further demonstrated its significant integration within bacterial communities. Through phylogenomic scrutiny, we conclusively excluded the NCBI's GCA_009993245.1 genome from being classified as a Solirubrobacter. Our research into the metagenomic diversity of Solirubrobacter across various environments confirmed its presence in rhizospheres and certain soils, underscoring its adaptability. The geographical ubiquity of Solirubrobacter in rhizospheres raises intriguing questions regarding its potential interactions with plant hosts and the biotic and abiotic factors influencing its presence in soil. Given its ecological significance and genetic diversity, Solirubrobacter warrants further investigation as a potentially crucial yet underappreciated keystone species.
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Affiliation(s)
- Angélica Jara-Servin
- Laboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Posgrado en Ciencias Bioquímicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Gerardo Mejia
- Laboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Posgrado en Ciencias Bioquímicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Miguel F Romero
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Mariana Peimbert
- Departamento de Ciencias Naturales, Unidad Cuajimalpa, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Luis David Alcaraz
- Laboratorio de Genómica Ambiental, Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
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27
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Belman S, Lefrancq N, Nzenze S, Downs S, du Plessis M, Lo SW, McGee L, Madhi SA, von Gottberg A, Bentley SD, Salje H. Geographical migration and fitness dynamics of Streptococcus pneumoniae. Nature 2024; 631:386-392. [PMID: 38961295 PMCID: PMC11236706 DOI: 10.1038/s41586-024-07626-3] [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: 05/31/2023] [Accepted: 05/30/2024] [Indexed: 07/05/2024]
Abstract
Streptococcus pneumoniae is a leading cause of pneumonia and meningitis worldwide. Many different serotypes co-circulate endemically in any one location1,2. The extent and mechanisms of spread and vaccine-driven changes in fitness and antimicrobial resistance remain largely unquantified. Here using geolocated genome sequences from South Africa (n = 6,910, collected from 2000 to 2014), we developed models to reconstruct spread, pairing detailed human mobility data and genomic data. Separately, we estimated the population-level changes in fitness of strains that are included (vaccine type (VT)) and not included (non-vaccine type (NVT)) in pneumococcal conjugate vaccines, first implemented in South Africa in 2009. Differences in strain fitness between those that are and are not resistant to penicillin were also evaluated. We found that pneumococci only become homogenously mixed across South Africa after 50 years of transmission, with the slow spread driven by the focal nature of human mobility. Furthermore, in the years following vaccine implementation, the relative fitness of NVT compared with VT strains increased (relative risk of 1.68; 95% confidence interval of 1.59-1.77), with an increasing proportion of these NVT strains becoming resistant to penicillin. Our findings point to highly entrenched, slow transmission and indicate that initial vaccine-linked decreases in antimicrobial resistance may be transient.
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Affiliation(s)
- Sophie Belman
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK.
- Department of Genetics, University of Cambridge, Cambridge, UK.
- Global Health Resilience, Earth Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.
| | - Noémie Lefrancq
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Susan Nzenze
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sarah Downs
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mignon du Plessis
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
- Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK
| | - Lesley McGee
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Shabir A Madhi
- South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- Division of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | | | - Henrik Salje
- Department of Genetics, University of Cambridge, Cambridge, UK
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28
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You Y, Yu J, Nie Z, Peng D, Barrett RL, Rabarijaona RN, Lai Y, Zhao Y, Dang VC, Chen Y, Chen Z, Wen J, Lu L. Transition of survival strategies under global climate shifts in the grape family. NATURE PLANTS 2024; 10:1100-1111. [PMID: 39009829 DOI: 10.1038/s41477-024-01726-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 05/09/2024] [Indexed: 07/17/2024]
Abstract
Faced with environmental changes, plants may either move to track their ancestral niches or evolve to adapt to new niches. Vitaceae, the grape family, has evolved diverse adaptive traits facilitating a global expansion in wide-ranging habitats, making it ideal for investigating transition between move and evolve strategies and exploring the underlying mechanisms. Here we inferred the patterns of biogeographic diversification and trait evolution in Vitaceae based on a robust phylogeny with dense sampling including 495 species (~52% of Vitaceae species). Vitaceae probably originated from Asia-the diversity centre of extant genera and the major source of dispersals. Boundaries of the Eocene, Oligocene and Miocene were identified as turning points in shifting strategies. A significant decrease in move strategy was identified during the Oligocene, followed by increases in move and evolve. After the Miocene, evolve began to dominate, during which increased niche opportunities and key trait innovations played important roles.
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Affiliation(s)
- Yichen You
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinren Yu
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zelong Nie
- Hunan Provincial Key Laboratory of Ecological Conservation and Sustainable Utilization of Wulingshan Resources and Key Laboratory of Plant Resources Conservation and Utilization, College of Biology and Environmental Sciences, Jishou University, Jishou, China
| | - Danxiao Peng
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
| | - Russell L Barrett
- Botanic Gardens of Sydney, National Herbarium of New South Wales, Australian Botanic Garden, Sydney, New South Wales, Australia
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Romer Narindra Rabarijaona
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
| | - Yangjun Lai
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
| | - Yujie Zhao
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- China National Botanical Garden, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Viet-Cuong Dang
- University of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam
| | - Youhua Chen
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Zhiduan Chen
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
- China National Botanical Garden, Beijing, China.
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, China.
| | - Jun Wen
- Department of Botany, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
| | - Limin Lu
- State Key Laboratory of Plant Diversity and Specialty Crops and Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
- China National Botanical Garden, Beijing, China.
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29
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Thomas A, Battenfeld T, Kraiselburd I, Anastasiou O, Dittmer U, Dörr AK, Dörr A, Elsner C, Gosch J, Le-Trilling VTK, Magin S, Scholtysik R, Yilmaz P, Trilling M, Schöler L, Köster J, Meyer F. UnCoVar: a reproducible and scalable workflow for transparent and robust virus variant calling and lineage assignment using SARS-CoV-2 as an example. BMC Genomics 2024; 25:647. [PMID: 38943066 PMCID: PMC11214259 DOI: 10.1186/s12864-024-10539-0] [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: 06/18/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND At a global scale, the SARS-CoV-2 virus did not remain in its initial genotype for a long period of time, with the first global reports of variants of concern (VOCs) in late 2020. Subsequently, genome sequencing has become an indispensable tool for characterizing the ongoing pandemic, particularly for typing SARS-CoV-2 samples obtained from patients or environmental surveillance. For such SARS-CoV-2 typing, various in vitro and in silico workflows exist, yet to date, no systematic cross-platform validation has been reported. RESULTS In this work, we present the first comprehensive cross-platform evaluation and validation of in silico SARS-CoV-2 typing workflows. The evaluation relies on a dataset of 54 patient-derived samples sequenced with several different in vitro approaches on all relevant state-of-the-art sequencing platforms. Moreover, we present UnCoVar, a robust, production-grade reproducible SARS-CoV-2 typing workflow that outperforms all other tested approaches in terms of precision and recall. CONCLUSIONS In many ways, the SARS-CoV-2 pandemic has accelerated the development of techniques and analytical approaches. We believe that this can serve as a blueprint for dealing with future pandemics. Accordingly, UnCoVar is easily generalizable towards other viral pathogens and future pandemics. The fully automated workflow assembles virus genomes from patient samples, identifies existing lineages, and provides high-resolution insights into individual mutations. UnCoVar includes extensive quality control and automatically generates interactive visual reports. UnCoVar is implemented as a Snakemake workflow. The open-source code is available under a BSD 2-clause license at github.com/IKIM-Essen/uncovar.
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Affiliation(s)
- Alexander Thomas
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Thomas Battenfeld
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Ivana Kraiselburd
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Olympia Anastasiou
- Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Ulf Dittmer
- Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Ann-Kathrin Dörr
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Adrian Dörr
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Carina Elsner
- Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Jule Gosch
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Vu Thuy Khanh Le-Trilling
- Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
- Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Simon Magin
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - René Scholtysik
- Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Pelin Yilmaz
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Mirko Trilling
- Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
- Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Lara Schöler
- Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
- Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
- Institute of Cell Biology (Cancer Research), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Johannes Köster
- Bioinformatics and Computational Oncology, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
- Division of Molecular and Cellular Oncology, Department of Medical Oncology, Harvard Medical School, Boston, MA, USA
| | - Folker Meyer
- Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.
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30
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Bello-López E, Escobedo-Muñoz AS, Guerrero G, Cruz-Córdova A, Garza-González E, Hernández-Castro R, Zarain PL, Morfín-Otero R, Volkow P, Xicohtencatl-Cortes J, Cevallos MA. Acinetobacter pittii: the emergence of a hospital-acquired pathogen analyzed from the genomic perspective. Front Microbiol 2024; 15:1412775. [PMID: 38989032 PMCID: PMC11233732 DOI: 10.3389/fmicb.2024.1412775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 05/22/2024] [Indexed: 07/12/2024] Open
Abstract
Acinetobacter pittii has increasingly been associated with several types of hospital-acquired severe infections. Genes implicated in carbapenem resistance, tigecycline resistance, or genes encoding extended spectrum cephalosporinases, such as blaADC, are commonly found in isolates implicated in these infections. A. pittii strains that are pandrug resistant have occasionally been identified. Food for human consumption, animals and plants are environmental sources of this pathogen. An alarming situation is that A. pitti has been identified as responsible for outbreaks in different regions worldwide. In this study, 384 genomes of A. pittii were analyzed, comprising sequences from clinical and non-clinical origins from 32 countries. The objective was to investigate if clinical strains possess genetic traits facilitating hospital adaptation. Results indicate significant genomic variability in terms of size and gene content among A. pittii isolates. The core genome represents a small portion (25-36%) of each isolate's genome, while genes associated with antibiotic resistance and virulence predominantly belong to the accessory genome. Notably, antibiotic resistance genes are encoded by a diverse array of plasmids. As the core genome between environmental and hospital isolates is the same, we can assume that hospital isolates acquired ARGs due to a high selective pressure in these settings. The strain's phylogeographic distribution indicates that there is no geographical bias in the isolate distribution; isolates from different geographic regions are dispersed throughout a core genome phylogenetic tree. A single clade may include isolates from extremely distant geographical areas. Furthermore, strains isolated from the environment or animal, or plant sources frequently share the same clade as hospital isolates. Our analysis showed that the clinical isolates do not already possess specific genes, other than antibiotic-resistant genes, to thrive in the hospital setting.
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Affiliation(s)
- Elena Bello-López
- Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Programa de Genómica Evolutiva, Cuernavaca, Mexico
| | - Ana Sofía Escobedo-Muñoz
- Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Programa de Genómica Evolutiva, Cuernavaca, Mexico
| | - Gabriela Guerrero
- Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Unidad de Análisis Bioinformáticos, Cuernavaca, Mexico
| | - Ariadnna Cruz-Córdova
- Unidad de Enfermedades Infecciosas, Laboratorio de Investigación en Bacteriología Intestinal, Hospital Infantil de México Federico Gómez, Ciudad de México, Mexico
| | - Elvira Garza-González
- Universidad Autónoma de Nuevo León, Facultad de Medicina/Hospital Universitario Dr. José Eleuterio González, Departamento de Bioquímica y Medicina Molecular, Monterrey, Mexico
| | - Rigoberto Hernández-Castro
- Departamento de Ecología de Agentes Patógenos, Hospital General Dr. Manuel Gea González, Ciudad de México, Mexico
| | - Patricia Lozano Zarain
- Benemérita Universidad Autónoma de Puebla, Instituto de Ciencias, Centro de Investigaciones en Ciencias Microbiológicas, Laboratorio de Microbiología Hospitalaria y de la Comunidad, Puebla, Mexico
| | - Rayo Morfín-Otero
- Instituto de Patología Infecciosa y Experimental, Universidad de Guadalajara, Guadalajara, Mexico
| | - Patricia Volkow
- Instituto Nacional de Cancerología, Departamento de Enfermedades Infecciosas, Ciudad de México, Mexico
| | - Juan Xicohtencatl-Cortes
- Unidad de Enfermedades Infecciosas, Laboratorio de Investigación en Bacteriología Intestinal, Hospital Infantil de México Federico Gómez, Ciudad de México, Mexico
| | - Miguel A Cevallos
- Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Programa de Genómica Evolutiva, Cuernavaca, Mexico
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31
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Zhang H, You J, Pan X, Hu Y, Zhang Z, Zhang X, Zhang W, Rao Z. Genomic and biological insights of bacteriophages JNUWH1 and JNUWD in the arms race against bacterial resistance. Front Microbiol 2024; 15:1407039. [PMID: 38989022 PMCID: PMC11233448 DOI: 10.3389/fmicb.2024.1407039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 06/07/2024] [Indexed: 07/12/2024] Open
Abstract
The coevolution of bacteria and bacteriophages has created a great diversity of mechanisms by which bacteria fight phage infection, and an equivalent diversity of mechanisms by which phages subvert bacterial immunity. Effective and continuous evolution by phages is necessary to deal with coevolving bacteria. In this study, to better understand the connection between phage genes and host range, we examine the isolation and genomic characterization of two bacteriophages, JNUWH1 and JNUWD, capable of infecting Escherichia coli. Sourced from factory fermentation pollutants, these phages were classified within the Siphoviridae family through TEM and comparative genomic analysis. Notably, the phages exhibited a viral burst size of 500 and 1,000 PFU/cell, with latent periods of 15 and 20 min, respectively. They displayed stability over a pH range of 5 to 10, with optimal activity at 37°C. The complete genomes of JNUWH1 and JNUWD were 44,785 bp and 43,818 bp, respectively. Phylogenetic analysis revealed their close genetic relationship to each other. Antibacterial assays demonstrated the phages' ability to inhibit E. coli growth for up to 24 h. Finally, through laboratory-driven adaptive evolution, we successfully identified strains for both JNUWH1 and JNUWD with mutations in receptors specifically targeting lipopolysaccharides (LPS) and the lptD gene. Overall, these phages hold promise as additives in fermentation products to counter E. coli, offering potential solutions in the context of evolving bacterial resistance.
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Affiliation(s)
- Hengwei Zhang
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, China
| | - Jiajia You
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, China
| | - Xuewei Pan
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, China
| | - Yanglu Hu
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, China
| | - Zan Zhang
- National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, China
| | - Xian Zhang
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Weiguo Zhang
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Zhiming Rao
- Key Laboratory of Industrial Biotechnology of the Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, China
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Núñez D, Jiménez P, Cortez-San Martín M, Cortés C, Cárdenas M, Michelson S, Garay T, Vecchiola M, Céspedes A, Maldonado JE, Vásquez-Martínez Y. Molecular and Phylogenomic Analysis of a Vancomycin Intermediate Resistance USA300LV Strain in Chile. Microorganisms 2024; 12:1284. [PMID: 39065053 PMCID: PMC11278659 DOI: 10.3390/microorganisms12071284] [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: 05/13/2024] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 07/28/2024] Open
Abstract
Antimicrobial resistance is a major global health problem, and, among Gram-positive bacteria, methicillin-resistant Staphylococcus aureus (MRSA) represents a serious threat. MRSA causes a wide range of infections, including bacteremia, which, due to the limited use of β-lactams, is difficult to treat. This study aimed to analyze 51 MRSA isolates collected in 2018 from samples of patients with bacteremia from two hospitals of the Metropolitan Health Service of Santiago, Chile, both in their resistance profile and in the identification of virulence factors. In addition, genomic characterization was carried out by the WGS of an isolate that was shown to be the one of greatest concern (N°. 42) due to its intermediate resistance to vancomycin, multiple virulence factors and being classified as ST8 PVL-positive. In our study, most of the isolates turned out to be multidrug-resistant, but there are still therapeutic options, such as tetracycline, rifampicin, chloramphenicol and vancomycin, which are currently used for MRSA infections; however, 18% were PVL positive, which suggests greater virulence of these isolates. It was determined that isolate N°42 is grouped within the USA300-LV strains (ST8, PVL+, COMER+); however, it has been suggested that, in Chile, a complete displacement of the PVL-negative ST5 clone has not occurred.
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Affiliation(s)
- Daniela Núñez
- Molecular Virology and Pathogen Control Laboratory, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (D.N.); (M.C.-S.M.); (C.C.); (M.C.); (S.M.)
| | - Pablo Jiménez
- Laboratorio de Multiómica Vegetal y Bioinformática, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile;
| | - Marcelo Cortez-San Martín
- Molecular Virology and Pathogen Control Laboratory, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (D.N.); (M.C.-S.M.); (C.C.); (M.C.); (S.M.)
| | - Carolina Cortés
- Molecular Virology and Pathogen Control Laboratory, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (D.N.); (M.C.-S.M.); (C.C.); (M.C.); (S.M.)
| | - Matías Cárdenas
- Molecular Virology and Pathogen Control Laboratory, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (D.N.); (M.C.-S.M.); (C.C.); (M.C.); (S.M.)
| | - Sofia Michelson
- Molecular Virology and Pathogen Control Laboratory, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (D.N.); (M.C.-S.M.); (C.C.); (M.C.); (S.M.)
| | - Tamara Garay
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (T.G.); (M.V.); (A.C.)
| | - Maggie Vecchiola
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (T.G.); (M.V.); (A.C.)
| | - Alejandra Céspedes
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (T.G.); (M.V.); (A.C.)
| | - Jonathan E. Maldonado
- Laboratorio de Multiómica Vegetal y Bioinformática, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile;
- Millennium Institute for Integrative Biology (iBio), Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8380000, Chile
| | - Yesseny Vásquez-Martínez
- Molecular Virology and Pathogen Control Laboratory, Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (D.N.); (M.C.-S.M.); (C.C.); (M.C.); (S.M.)
- Escuela de Medicina, Facultad de Ciencias Médicas, Universidad de Santiago de Chile (USACH), Santiago 9170022, Chile; (T.G.); (M.V.); (A.C.)
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Fernandez MC, Sweeney YC, Suchland RJ, Carrell SJ, Soge OO, Phan IQ, Rockey DD, Patton DL, Hybiske K. CT135 mediates the resistance of Chlamydia trachomatis to primate interferon gamma stimulated immune defenses. iScience 2024; 27:110143. [PMID: 38947519 PMCID: PMC11214326 DOI: 10.1016/j.isci.2024.110143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/19/2024] [Accepted: 05/27/2024] [Indexed: 07/02/2024] Open
Abstract
Evading host innate immune defenses is a critical feature of Chlamydia trachomatis infections, and the mechanisms used by C. trachomatis to subvert these pathways are incompletely understood. We screened a library of chimeric C. trachomatis mutants for genetic factors important for interference with cell-autonomous immune defenses. Mutant strains with predicted truncations of the inclusion membrane protein CT135 were susceptible to interferon gamma-activated immunity in human cells. CT135 functions to prevent host-driven recruitment of ubiquitin and p62/SQSTM to the inclusion membrane. In a nonhuman primate model of C. trachomatis infection, a CT135-deficient strain was rapidly cleared, highlighting the importance of this virulence factor for C. trachomatis pathogenesis. Analysis of CT135 phenotypes in primary macaque cells revealed that cell-autonomous immune defenses against C. trachomatis are conserved between humans and nonhuman primates and connects mechanistic findings with in vivo infection outcomes.
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Affiliation(s)
- Mark C. Fernandez
- Department of Global Health, University of Washington, Seattle, WA 98109, USA
- Center for Emerging and Re-emerging Infectious Diseases, University of Washington, Seattle, WA 98109, USA
| | | | - Robert J. Suchland
- Department of Medicine, University of Washington, Seattle, WA 98109, USA
| | - Steven J. Carrell
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Olusegun O. Soge
- Department of Global Health, University of Washington, Seattle, WA 98109, USA
- Department of Medicine, University of Washington, Seattle, WA 98109, USA
| | - Isabelle Q. Phan
- Seattle Structural Genomics Center for Infectious Disease, Seattle, WA 98109, USA
- Center for Global Infectious Disease Research, Seattle Children’s Hospital, Seattle, WA 98109, USA
| | - Daniel D. Rockey
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Dorothy L. Patton
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98109, USA
| | - Kevin Hybiske
- Center for Emerging and Re-emerging Infectious Diseases, University of Washington, Seattle, WA 98109, USA
- Department of Medicine, University of Washington, Seattle, WA 98109, USA
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Galià-Camps C, Araujo AK, Carmona L, Martín-Hervás MDR, Pola M, Palero F, Cervera JL. New mitogenomes of Runcinidae and Facelinidae: two understudied heterobranch families (Mollusca: Gastropoda). Mitochondrial DNA B Resour 2024; 9:771-776. [PMID: 38919811 PMCID: PMC11198154 DOI: 10.1080/23802359.2024.2363365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 05/29/2024] [Indexed: 06/27/2024] Open
Abstract
Here, we present the mitochondrial sequences of two sea slugs (Heterobranchia): Runcina aurata and Facelina auriculata, the latter being the type species of the family. The mitochondrial genomes are 14,282 and 14,171bp in length, respectively, with a complete set of 13 PCGs, 2 rRNAs, and 22 tRNAs. None of the mitogenomes show gene reorganization, keeping the standard mitogenomic structure of Heterobranchia. Nucleotide composition differs significantly between them, with R. aurata showing the most AT-rich mitogenome (25.7% GC content) reported to date in Heterobranchia, and F. auriculata showing a rich GC content (35%) compared with other heterobranch mitochondrial genomes.
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Affiliation(s)
- Carles Galià-Camps
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona (UB), Barcelona, Spain
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona (UB), Barcelona, Spain
| | - Ana Karla Araujo
- Departamento de Biología, Facultad de Ciencias del Mar y Ambientales, Campus de Excelencia Internacional del Mar (CEIMAR), Universidad de Cádiz, Puerto Real, Spain
- Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, Puerto Real, Spain
| | - Leila Carmona
- Departamento de Biología, Facultad de Ciencias del Mar y Ambientales, Campus de Excelencia Internacional del Mar (CEIMAR), Universidad de Cádiz, Puerto Real, Spain
- Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, Puerto Real, Spain
| | - María del Rosario Martín-Hervás
- Departamento de Biología, Facultad de Ciencias del Mar y Ambientales, Campus de Excelencia Internacional del Mar (CEIMAR), Universidad de Cádiz, Puerto Real, Spain
- Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, Puerto Real, Spain
| | - Marta Pola
- Departamento de Biología, Facultad de Ciencias, Universidad Autónoma de Madrid, CSIC, Madrid, Spain
- Centro de Investigación en Biodiversidad y Cambio Global (CIBC-UAM), CSIC, Madrid, Spain
| | - Ferran Palero
- Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Paterna, Spain
- Department of Life Sciences, The Natural History Museum, London, UK
| | - Juan Lucas Cervera
- Departamento de Biología, Facultad de Ciencias del Mar y Ambientales, Campus de Excelencia Internacional del Mar (CEIMAR), Universidad de Cádiz, Puerto Real, Spain
- Instituto Universitario de Investigación Marina (INMAR), Universidad de Cádiz, Puerto Real, Spain
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Jackson DJ, Cerveau N, Posnien N. De novo assembly of transcriptomes and differential gene expression analysis using short-read data from emerging model organisms - a brief guide. Front Zool 2024; 21:17. [PMID: 38902827 PMCID: PMC11188175 DOI: 10.1186/s12983-024-00538-y] [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: 03/05/2024] [Accepted: 06/12/2024] [Indexed: 06/22/2024] Open
Abstract
Many questions in biology benefit greatly from the use of a variety of model systems. High-throughput sequencing methods have been a triumph in the democratization of diverse model systems. They allow for the economical sequencing of an entire genome or transcriptome of interest, and with technical variations can even provide insight into genome organization and the expression and regulation of genes. The analysis and biological interpretation of such large datasets can present significant challenges that depend on the 'scientific status' of the model system. While high-quality genome and transcriptome references are readily available for well-established model systems, the establishment of such references for an emerging model system often requires extensive resources such as finances, expertise and computation capabilities. The de novo assembly of a transcriptome represents an excellent entry point for genetic and molecular studies in emerging model systems as it can efficiently assess gene content while also serving as a reference for differential gene expression studies. However, the process of de novo transcriptome assembly is non-trivial, and as a rule must be empirically optimized for every dataset. For the researcher working with an emerging model system, and with little to no experience with assembling and quantifying short-read data from the Illumina platform, these processes can be daunting. In this guide we outline the major challenges faced when establishing a reference transcriptome de novo and we provide advice on how to approach such an endeavor. We describe the major experimental and bioinformatic steps, provide some broad recommendations and cautions for the newcomer to de novo transcriptome assembly and differential gene expression analyses. Moreover, we provide an initial selection of tools that can assist in the journey from raw short-read data to assembled transcriptome and lists of differentially expressed genes.
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Affiliation(s)
- Daniel J Jackson
- University of Göttingen, Department of Geobiology, Goldschmidtstr.3, Göttingen, 37077, Germany.
| | - Nicolas Cerveau
- University of Göttingen, Department of Geobiology, Goldschmidtstr.3, Göttingen, 37077, Germany
| | - Nico Posnien
- University of Göttingen, Department of Developmental Biology, GZMB, Justus-Von-Liebig-Weg 11, Göttingen, 37077, Germany.
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Wang T, Zhang L, Zhang Y, Tong P, Ma W, Wang Y, Liu Y, Su Z. Isolation and identification of specific Enterococcus faecalis phage C-3 and G21-7 against Avian pathogenic Escherichia coli and its application to one-day-old geese. Front Microbiol 2024; 15:1385860. [PMID: 38962142 PMCID: PMC11221357 DOI: 10.3389/fmicb.2024.1385860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/24/2024] [Indexed: 07/05/2024] Open
Abstract
Colibacillosis caused by Avian pathogenic Escherichia coli (APEC), including peritonitis, respiratory tract inflammation and ovaritis, is recognized as one of the most common and economically destructive bacterial diseases in poultry worldwide. In this study, the characteristics and inhibitory potential of phages were investigated by double-layer plate method, transmission electron microscopy, whole genome sequencing, bioinformatics analysis and animal experiments. The results showed that phages C-3 and G21-7 isolated from sewage around goose farms infected multiple O serogroups (O1, O2, O18, O78, O157, O26, O145, O178, O103 and O104) Escherichia coli (E.coli) with a multiplicity of infection (MOI) of 10 and 1, respectively. According to the one-step growth curve, the incubation time of both bacteriophage C-3 and G21-7 was 10 min. Sensitivity tests confirmed that C-3 and G21-6 are stable at 4 to 50 °C and pH in the range of 4 to 11. Based on morphological and phylogenetic analysis, phages C-3 and G21-7 belong to Enterococcus faecalis (E. faecalis) phage species of the genus Saphexavirus of Herelleviridae family. According to genomic analysis, phage C-3 and G21-7 were 58,097 bp and 57,339 bp in size, respectively, with G+C content of 39.91% and 39.99%, encoding proteins of 97 CDS (105 to 3,993 bp) and 96 CDS (105 to 3,993 bp), and both contained 2 tRNAs. Both phages contained two tail proteins and holin-endolysin system coding genes, and neither carried resistance genes nor virulence factors. Phage mixture has a good safety profile and has shown good survival probability and feed efficiency in both treatment and prophylaxis experiments with one-day-old goslings. These results suggest that phage C-3 and G21-7 can be used as potential antimicrobials for the prevention and treatment of APEC.
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Affiliation(s)
- Tianli Wang
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Ling Zhang
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Yi Zhang
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Panpan Tong
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Wanpeng Ma
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Yan Wang
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Yifan Liu
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
| | - Zhanqiang Su
- College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
- Xinjiang Key Laboratory of Herbivore Drug Research and Creation, College of Veterinary Medicine, Xinjiang Agricultural University, Xinjiang, China
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Tran TA, Sridhar S, Reece ST, Lunguya O, Jacobs J, Van Puyvelde S, Marks F, Dougan G, Thomson NR, Nguyen BT, Bao PT, Baker S. Combining machine learning with high-content imaging to infer ciprofloxacin susceptibility in isolates of Salmonella Typhimurium. Nat Commun 2024; 15:5074. [PMID: 38871710 PMCID: PMC11176356 DOI: 10.1038/s41467-024-49433-4] [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: 10/04/2023] [Accepted: 06/05/2024] [Indexed: 06/15/2024] Open
Abstract
Antimicrobial resistance (AMR) is a growing public health crisis that requires innovative solutions. Current susceptibility testing approaches limit our ability to rapidly distinguish between antimicrobial-susceptible and -resistant organisms. Salmonella Typhimurium (S. Typhimurium) is an enteric pathogen responsible for severe gastrointestinal illness and invasive disease. Despite widespread resistance, ciprofloxacin remains a common treatment for Salmonella infections, particularly in lower-resource settings, where the drug is given empirically. Here, we exploit high-content imaging to generate deep phenotyping of S. Typhimurium isolates longitudinally exposed to increasing concentrations of ciprofloxacin. We apply machine learning algorithms to the imaging data and demonstrate that individual isolates display distinct growth and morphological characteristics that cluster by time point and susceptibility to ciprofloxacin, which occur independently of ciprofloxacin exposure. Using a further set of S. Typhimurium clinical isolates, we find that machine learning classifiers can accurately predict ciprofloxacin susceptibility without exposure to it or any prior knowledge of resistance phenotype. These results demonstrate the principle of using high-content imaging with machine learning algorithms to predict drug susceptibility of clinical bacterial isolates. This technique may be an important tool in understanding the morphological impact of antimicrobials on the bacterial cell to identify drugs with new modes of action.
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Affiliation(s)
- Tuan-Anh Tran
- The Department of Medicine, University of Cambridge, Cambridge, UK
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Sushmita Sridhar
- The Department of Medicine, University of Cambridge, Cambridge, UK
- The Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Stephen T Reece
- The Department of Medicine, University of Cambridge, Cambridge, UK
- Sanofi, Kymab, Babraham Research Campus, Cambridge, UK
| | - Octavie Lunguya
- Department of Microbiology, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo
- Service de Microbiologie, Cliniques Universitaires de Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Jan Jacobs
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Sandra Van Puyvelde
- The Department of Medicine, University of Cambridge, Cambridge, UK
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Florian Marks
- The Department of Medicine, University of Cambridge, Cambridge, UK
- International Vaccine Institute, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
- Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
- Madagascar Institute for Vaccine Research, University of Antananarivo, Antananarivo, Madagascar
| | - Gordon Dougan
- The Department of Medicine, University of Cambridge, Cambridge, UK
| | - Nicholas R Thomson
- The Wellcome Sanger Institute, Hinxton, Cambridge, UK
- London School of Hygiene and Tropical Medicine, London, UK
| | - Binh T Nguyen
- Faculty of Mathematics and Computer Science, University of Science, Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Pham The Bao
- Information Science Faculty, Saigon University, Ho Chi Minh City, Vietnam
| | - Stephen Baker
- The Department of Medicine, University of Cambridge, Cambridge, UK.
- IAVI, Chelsea and Westminster Hospital, London, UK.
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Ze M, Ma F, Zhang J, Duan J, Feng D, Shen Y, Chen G, Hu X, Dong M, Qi T, Zou L. Beneficial effects of Bacillus mojavensis strain MTC-8 on plant growth, immunity and disease resistance against Magnaporthe oryzae. Front Microbiol 2024; 15:1422476. [PMID: 38933037 PMCID: PMC11199545 DOI: 10.3389/fmicb.2024.1422476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024] Open
Abstract
Rice blast, a prevalent and highly destructive rice disease that significantly impacts rice yield, is caused by the rice blast fungus. In the present study, a strain named MTC-8, identified as Bacillus mojavensis, was demonstrated has strong antagonistic activity against the rice blast fungus, Rhizoctonia solani, Ustilaginoidea virens, and Bipolaria maydis. The potential biocontrol agents were identified using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) analysis and chromatography. Further investigations elucidated the inhibitory mechanism of the isolated compound and demonstrated its ability to suppress spore germination, alter hyphal morphology, disrupt cell membrane integrity, and induce defense-related gene expression in rice. MTC-8 promoted plant growth and may lead to the development of a biocontrol agent that meets agricultural standards. Overall, the Bacillus mojavensis MTC-8 strain exerted beneficial effects on plant growth, immunity and disease resistance against rice blast fungus. In this study, we isolated and purified a bioactive substance from fermentation broth, and the results provide a foundation for the development and application of biopesticides. Elucidation of the inhibitory mechanism against rice blast fungus provides theoretical support for the identification of molecular targets. The successful development of a biocontrol agent lays the groundwork for its practical application in agriculture.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Tuo Qi
- Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Teachers' College, Mianyang, China
| | - Lijuan Zou
- Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Teachers' College, Mianyang, China
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39
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Ghasemian E, Holland MJ. Genomic profiling and characterization of ocular Chlamydia trachomatis reference strain B/HAR36. Microbiol Resour Announc 2024; 13:e0002924. [PMID: 38700340 PMCID: PMC11237376 DOI: 10.1128/mra.00029-24] [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: 01/10/2024] [Accepted: 04/13/2024] [Indexed: 05/05/2024] Open
Abstract
The human pathogen Chlamydia trachomatis has multiple serovariants that have distinct organotropisms. We recently revised genomic sequence data linked to ocular reference strain, B/HAR36. Now linked to its correct genomic data in the European Nucleotide Archive, we describe its genomic features.
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Affiliation(s)
- Ehsan Ghasemian
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Martin J. Holland
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
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40
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Dickey AM, Schmidt JW, Bono JL, Guragain M. The GEA pipeline for characterizing Escherichia coli and Salmonella genomes. Sci Rep 2024; 14:13257. [PMID: 38858528 PMCID: PMC11164923 DOI: 10.1038/s41598-024-63832-z] [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: 01/24/2024] [Accepted: 06/03/2024] [Indexed: 06/12/2024] Open
Abstract
Salmonella enterica and Escherichia coli are major food-borne human pathogens, and their genomes are routinely sequenced for clinical surveillance. Computational pipelines designed for analyzing pathogen genomes should both utilize the most current information from annotation databases and increase the coverage of these databases over time. We report the development of the GEA pipeline to analyze large batches of E. coli and S. enterica genomes. The GEA pipeline takes as input paired Illumina raw reads files which are then assembled followed by annotation. Alternatively, assemblies can be provided as input and directly annotated. The pipeline provides predictive genome annotations for E. coli and S. enterica with a focus on the Center for Genomic Epidemiology tools. Annotation results are provided as a tab delimited text file. The GEA pipeline is designed for large-scale E. coli and S. enterica genome assembly and characterization using the Center for Genomic Epidemiology command-line tools and high-performance computing. Large scale annotation is demonstrated by an analysis of more than 14,000 Salmonella genome assemblies. Testing the GEA pipeline on E. coli raw reads demonstrates reproducibility across multiple compute environments and computational usage is optimized on high performance computers.
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Affiliation(s)
- Aaron M Dickey
- US Department of Agriculture, Agricultural Research Service, US Meat Animal Research Center, 844 Rd 313, PO Box 165, Clay Center, NE, 68933, USA.
| | - John W Schmidt
- US Department of Agriculture, Agricultural Research Service, US Meat Animal Research Center, 844 Rd 313, PO Box 165, Clay Center, NE, 68933, USA
| | - James L Bono
- US Department of Agriculture, Agricultural Research Service, US Meat Animal Research Center, 844 Rd 313, PO Box 165, Clay Center, NE, 68933, USA
| | - Manita Guragain
- US Department of Agriculture, Agricultural Research Service, Eastern Regional Research Center, 600 East Mermaid Lane, Wyndmoor, PA, 19038, USA.
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Chen S, Wang H, Zhang D, Chen R, Luo J. Readon: a novel algorithm to identify read-through transcripts with long-read sequencing data. Bioinformatics 2024; 40:btae336. [PMID: 38808568 PMCID: PMC11162696 DOI: 10.1093/bioinformatics/btae336] [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: 01/11/2024] [Revised: 04/30/2024] [Accepted: 05/26/2024] [Indexed: 05/30/2024] Open
Abstract
MOTIVATION There are many clustered transcriptionally active regions in the human genome, in which the transcription complex cannot immediately terminate transcription at the upstream gene termination site, but instead continues to transcribe intergenic regions and downstream genes, resulting in read-through transcripts. Several studies have demonstrated the regulatory roles of read-through transcripts in tumorigenesis and development. However, limited by the read length of next-generation sequencing, discovery of read-through transcripts has been slow. For long but also erroneous third-generation sequencing data, this study developed a novel minimizer sketch algorithm to accurately and quickly identify read-through transcripts. RESULTS Readon initially splits the reference sequence into distinct active regions. It employs a sliding window approach within each region, calculates minimizers, and constructs the specialized structured arrays for query indexing. Following initial alignment anchor screening of candidate read-through transcripts, further confirmation steps are executed. Comparative assessments against existing software reveal Readon's superior performance on both simulated and validated real data. Additionally, two downstream tools are provided: one for predicting whether a read-through transcript is likely to undergo nonsense-mediated decay or encodes a protein, and another for visualizing splicing patterns. AVAILABILITY AND IMPLEMENTATION Readon is freely available on GitHub (https://github.com/Bulabula45/Readon).
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Affiliation(s)
- Siang Chen
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hao Wang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dongdong Zhang
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Runsheng Chen
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianjun Luo
- Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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Ferreira CP, Moreira RS, Bastolla CLV, Saldaña-Serrano M, Lima D, Gomes CHAM, Bainy ACD, Lüchmann KH. Transcriptomic investigation and biomarker discovery for zinc response in oysters Crassostrea gasar. Mar Genomics 2024; 75:101109. [PMID: 38603950 DOI: 10.1016/j.margen.2024.101109] [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: 10/22/2023] [Revised: 03/03/2024] [Accepted: 03/24/2024] [Indexed: 04/13/2024]
Abstract
In an era of unprecedented industrial and agricultural growth, metal contamination in marine environments is a pressing concern. Sentinel organisms such as the mangrove oyster Crassostrea gasar provide valuable insights into these environments' health. However, a comprehensive understanding of the molecular mechanisms underlying their response to metal exposure remains elusive. To address this gap, we reanalyzed the 454-sequencing data of C. gasar, utilizing an array of bioinformatics workflow of CDTA (Combined De Novo Transcriptome Assembly) to generate a more representative assembly. In parallel, C. gasar individuals were exposed to two concentrations of zinc (850 and 4500 μg L-1 Zn) for 48 h to understand their molecular responses. We utilized Trinotate workflow for the 11,684-CDTA unigenes annotation, with most transcripts aligning with the genus Crassostrea. Our analysis indicated that 67.3% of transcript sequences showed homology with Pfam, while 51.4% and 54.5%, respectively had GO and KO terms annotated. We identified potential metal pollution biomarkers, focusing on metal-related genes, such as those related to the GSH biosynthesis (CHAC1 and GCLC-like), to zinc transporters (ZNT2-like), and metallothionein (MT-like). The evolutionary conservation of these genes within the Crassostrea genus was assessed through phylogenetic analysis. Further, these genes were evaluated by qPCR in the laboratory exposed oysters. All target genes exhibited significant upregulation upon exposure to Zn at both 850 and 4500 μg L-1, except for GCLC-like, which showed upregulation only at the higher concentration of 4500 μg L-1. This result suggests distinct activation thresholds and complex interactions among these genes in response to varying Zn concentrations. Our study provides insights into the molecular responses of C. gasar to Zn, adding valuable tools for monitoring metal pollution in marine ecosystems using the mangrove oyster as a sentinel organism.
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Affiliation(s)
- Clarissa P Ferreira
- Multicentric PostGraduate Program in Biochemistry and Molecular Biology - PMBqBM, Santa Catarina State University, Lages 88520-000, Brazil
| | - Renato S Moreira
- Federal Institute of Santa Catarina, Gaspar 89111-009, Brazil; Bioinformatic Laboratory, Federal University of Santa Catarina, Florianópolis 88040-970, Brazil
| | - Camila L V Bastolla
- Laboratory of Biomarkers of Aquatic Contamination and Immunochemistry - LABCAI, Federal University of Santa Catarina, Florianópolis 88034-257, Brazil
| | - Miguel Saldaña-Serrano
- Laboratory of Biomarkers of Aquatic Contamination and Immunochemistry - LABCAI, Federal University of Santa Catarina, Florianópolis 88034-257, Brazil
| | - Daína Lima
- Laboratory of Biomarkers of Aquatic Contamination and Immunochemistry - LABCAI, Federal University of Santa Catarina, Florianópolis 88034-257, Brazil
| | - Carlos H A M Gomes
- Laboratory of Marine Mollusks (LMM), Department of Aquaculture, Center of Agricultural Science, Federal University of Santa Catarina, UFSC, Florianópolis, Santa Catarina, Brazil
| | - Afonso C D Bainy
- Laboratory of Biomarkers of Aquatic Contamination and Immunochemistry - LABCAI, Federal University of Santa Catarina, Florianópolis 88034-257, Brazil
| | - Karim H Lüchmann
- Department of Scientific and Technological Education, Santa Catarina State University, Florianópolis 88035-001, Brazil.
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Shrestha H, McCulloch K, Chisholm RH, Armoo SK, Veriegh F, Sirwani N, Crawford KE, Osei-Atweneboana MY, Grant WN, Hedtke SM. Synthesizing environmental, epidemiological and vector and parasite genetic data to assist decision making for disease elimination. Mol Ecol 2024; 33:e17357. [PMID: 38683054 DOI: 10.1111/mec.17357] [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: 11/27/2023] [Revised: 02/27/2024] [Accepted: 04/05/2024] [Indexed: 05/01/2024]
Abstract
We present a framework for identifying when conditions are favourable for transmission of vector-borne diseases between communities by incorporating predicted disease prevalence mapping with landscape analysis of sociological, environmental and host/parasite genetic data. We explored the relationship between environmental features and gene flow of a filarial parasite of humans, Onchocerca volvulus, and its vector, blackflies in the genus Simulium. We generated a baseline microfilarial prevalence map from point estimates from 47 locations in the ecological transition separating the savannah and forest in Ghana, where transmission of O. volvulus persists despite onchocerciasis control efforts. We generated movement suitability maps based on environmental correlates with mitochondrial population structure of 164 parasites from 15 communities and 93 vectors from only four sampling sites, and compared these to the baseline prevalence map. Parasite genetic distance between sampling locations was significantly associated with elevation (r = .793, p = .005) and soil moisture (r = .507, p = .002), while vector genetic distance was associated with soil moisture (r = .788, p = .0417) and precipitation (r = .835, p = .0417). The correlation between baseline prevalence and parasite resistance surface maps was stronger than that between prevalence and vector resistance surface maps. The centre of the study area had high prevalence and suitability for parasite and vector gene flow, potentially contributing to persistent transmission and suggesting the importance of re-evaluating transmission zone boundaries. With suitably dense sampling, this framework can help delineate transmission zones for onchocerciasis and would be translatable to other vector-borne diseases.
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Affiliation(s)
- Himal Shrestha
- Department of Environment and Genetics, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, Australia
| | - Karen McCulloch
- Department of Environment and Genetics, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, Australia
| | - Rebecca H Chisholm
- Department of Mathematical and Physical Sciences, La Trobe University, Bundoora, Victoria, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Samuel K Armoo
- Biomedical and Public Health Research Unit, CSIR-Water Research Institute, Accra, Ghana
| | - Francis Veriegh
- Biomedical and Public Health Research Unit, CSIR-Water Research Institute, Accra, Ghana
| | - Neha Sirwani
- Department of Environment and Genetics, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, Australia
| | - Katie E Crawford
- Department of Environment and Genetics, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, Australia
| | | | - Warwick N Grant
- Department of Environment and Genetics, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, Australia
| | - Shannon M Hedtke
- Department of Environment and Genetics, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, Australia
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Chen Y, Guo S, Jiang L, Yan F, Hao K, Wang Z, An M, Xia Z, Li F, Zhou X, Wu Y. Molecular characterization and pathogenicity of a novel monopartite geminivirus infecting tobacco in China. Virology 2024; 594:110061. [PMID: 38518441 DOI: 10.1016/j.virol.2024.110061] [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: 12/20/2023] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/24/2024]
Abstract
The occurrence of geminiviruses causes significant economic losses in many economically important crops. In this study, a novel geminivirus isolated from tobacco in Sichuan province of China, named tomato leaf curl Chuxiong virus (TLCCxV), was characterized by small RNA-based deep sequencing. The full-length of TLCCxV genome was determined to be 2744 nucleotides (nt) encoding six open reading frames. Phylogenetic and genome-wide pairwise identity analysis revealed that TLCCxV shared less than 91% identities with reported geminiviruses. A TLCCxV infectious clone was constructed and successfully infected Nicotiana benthamiana, N. tabacum, N. glutinosa, Solanum lycopersicum and Petunia hybrida plants. Furthermore, expression of the V2, C1 and C4 proteins through a potato virus X vector caused severe chlorosis or necrosis symptom in N. benthamiana. Taken together, we identified a new geminivirus in tobacco plants, and found that V2, C1 and C4 contribute to symptom development.
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Affiliation(s)
- Yuan Chen
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China
| | - Shiping Guo
- Sichuan Tobacco Company, Chengdu, Sichuan, 610000, China
| | - Lianqiang Jiang
- Liangshan Branch of Sichuan Tobacco Company, Xichang, Sichuan, 615000, China
| | - Fangfang Yan
- Panzhihua Branch of Sichuan Tobacco Company, Panzhihua, Sichuan, 617000, China
| | - Kaiqiang Hao
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China
| | - Zhiping Wang
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China
| | - Mengnan An
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China
| | - Zihao Xia
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China
| | - Fangfang Li
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xueping Zhou
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China; State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China; State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
| | - Yuanhua Wu
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China.
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Casimiro-Ramos A, Bautista-Crescencio C, Vidal-Montiel A, González GM, Hernández-García JA, Hernández-Rodríguez C, Villa-Tanaca L. Comparative Genomics of the First Resistant Candida auris Strain Isolated in Mexico: Phylogenomic and Pan-Genomic Analysis and Mutations Associated with Antifungal Resistance. J Fungi (Basel) 2024; 10:392. [PMID: 38921378 PMCID: PMC11204476 DOI: 10.3390/jof10060392] [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: 04/28/2024] [Revised: 05/19/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Candida auris is an emerging multidrug-resistant and opportunistic pathogenic yeast. Whole-genome sequencing analysis has defined five major clades, each from a distinct geographic region. The current study aimed to examine the genome of the C. auris 20-1498 strain, which is the first isolate of this fungus identified in Mexico. Based on whole-genome sequencing, the draft genome was found to contain 70 contigs. It had a total genome size of 12.86 Mbp, an N50 value of 1.6 Mbp, and an average guanine-cytosine (GC) content of 45.5%. Genome annotation revealed a total of 5432 genes encoding 5515 proteins. According to the genomic analysis, the C. auris 20-1498 strain belongs to clade IV (containing strains endemic to South America). Of the two genes (ERG11 and FKS1) associated with drug resistance in C. auris, a mutation was detected in K143R, a gene located in a mutation hotspot of ERG11 (lanosterol 14-α-demethylase), an antifungal drug target. The focus on whole-genome sequencing and the identification of mutations linked to the drug resistance of fungi could lead to the discovery of new therapeutic targets and new antifungal compounds.
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Affiliation(s)
- Arturo Casimiro-Ramos
- Laboratorio de Biología Molecular de Bacterias y Levaduras, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala, Casco de Santo Tomás, Ciudad de México 11340, Mexico; (A.C.-R.); (C.B.-C.); (A.V.-M.); (J.A.H.-G.); (C.H.-R.)
| | - Celia Bautista-Crescencio
- Laboratorio de Biología Molecular de Bacterias y Levaduras, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala, Casco de Santo Tomás, Ciudad de México 11340, Mexico; (A.C.-R.); (C.B.-C.); (A.V.-M.); (J.A.H.-G.); (C.H.-R.)
| | - Alvaro Vidal-Montiel
- Laboratorio de Biología Molecular de Bacterias y Levaduras, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala, Casco de Santo Tomás, Ciudad de México 11340, Mexico; (A.C.-R.); (C.B.-C.); (A.V.-M.); (J.A.H.-G.); (C.H.-R.)
| | - Gloria M. González
- Departamento de Microbiología, Facultad de Medicina, Universidad Autónoma de Nuevo León, Hospital Universitario “Dr. José Eleuterio Gonzalez”, Av. Madero y Calle Dr. Eduardo Aguirre Pequeño s/n, Colonia Mitras Centro, Monterrey 64460, Nuevo Leon, Mexico;
| | - Juan Alfredo Hernández-García
- Laboratorio de Biología Molecular de Bacterias y Levaduras, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala, Casco de Santo Tomás, Ciudad de México 11340, Mexico; (A.C.-R.); (C.B.-C.); (A.V.-M.); (J.A.H.-G.); (C.H.-R.)
| | - César Hernández-Rodríguez
- Laboratorio de Biología Molecular de Bacterias y Levaduras, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala, Casco de Santo Tomás, Ciudad de México 11340, Mexico; (A.C.-R.); (C.B.-C.); (A.V.-M.); (J.A.H.-G.); (C.H.-R.)
| | - Lourdes Villa-Tanaca
- Laboratorio de Biología Molecular de Bacterias y Levaduras, Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación de Carpio y Plan de Ayala, Casco de Santo Tomás, Ciudad de México 11340, Mexico; (A.C.-R.); (C.B.-C.); (A.V.-M.); (J.A.H.-G.); (C.H.-R.)
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Li H, Marin M, Farhat MR. Exploring gene content with pangene graphs. ARXIV 2024:arXiv:2402.16185v3. [PMID: 38463499 PMCID: PMC10925376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Motivation The gene content regulates the biology of an organism. It varies between species and between individuals of the same species. Although tools have been developed to identify gene content changes in bacterial genomes, none is applicable to collections of large eukaryotic genomes such as the human pangenome. Results We developed pangene, a computational tool to identify gene orientation, gene order and gene copy-number changes in a collection of genomes. Pangene aligns a set of input protein sequences to the genomes, resolves redundancies between protein sequences and constructs a gene graph with each genome represented as a walk in the graph. It additionally finds subgraphs, which we call bibubbles, that capture gene content changes. Applied to the human pangenome, pangene identifies known gene-level variations and reveals complex haplotypes that are not well studied before. Pangene also works with high-quality bacterial pangenome and reports similar numbers of core and accessory genes in comparison to existing tools. Availability and implementation Source code at https://github.com/lh3/pangene; pre-built pangene graphs can be downloaded from https://zenodo.org/records/8118576 and visualized at https://pangene.bioinweb.org.
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Affiliation(s)
- Heng Li
- Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA
- Harvard Medical School, 10 Shattuck St, Boston, MA 02215, USA
- Broad Insitute of Harvard and MIT, 415 Main St, Cambridge, MA 02142, USA
| | | | - Maha Reda Farhat
- Harvard Medical School, 10 Shattuck St, Boston, MA 02215, USA
- Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, USA
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Carpio LE, Olivares M, Benítez-Paez A, Serrano-Candelas E, Barigye SJ, Sanz Y, Gozalbes R. Comparative Binding Study of Gliptins to Bacterial DPP4-like Enzymes for the Treatment of Type 2 Diabetes Mellitus (T2DM). Int J Mol Sci 2024; 25:5744. [PMID: 38891933 PMCID: PMC11171585 DOI: 10.3390/ijms25115744] [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: 04/30/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
The role of the gut microbiota and its interplay with host metabolic health, particularly in the context of type 2 diabetes mellitus (T2DM) management, is garnering increasing attention. Dipeptidyl peptidase 4 (DPP4) inhibitors, commonly known as gliptins, constitute a class of drugs extensively used in T2DM treatment. However, their potential interactions with gut microbiota remain poorly understood. In this study, we employed computational methodologies to investigate the binding affinities of various gliptins to DPP4-like homologs produced by intestinal bacteria. The 3D structures of DPP4 homologs from gut microbiota species, including Segatella copri, Phocaeicola vulgatus, Bacteroides uniformis, Parabacteroides merdae, and Alistipes sp., were predicted using computational modeling techniques. Subsequently, molecular dynamics simulations were conducted for 200 ns to ensure the stability of the predicted structures. Stable structures were then utilized to predict the binding interactions with known gliptins through molecular docking algorithms. Our results revealed binding similarities of gliptins toward bacterial DPP4 homologs compared to human DPP4. Specifically, certain gliptins exhibited similar binding scores to bacterial DPP4 homologs as they did with human DPP4, suggesting a potential interaction of these drugs with gut microbiota. These findings could help in understanding the interplay between gliptins and gut microbiota DPP4 homologs, considering the intricate relationship between the host metabolism and microbial communities in the gut.
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Affiliation(s)
- Laureano E. Carpio
- ProtoQSAR SL, CEEI (Centro Europeo de Empresas Innovadoras), Parque Tecnológico de Valencia, 46980 Valencia, Spain; (L.E.C.); (E.S.-C.)
- MolDrug AI Systems SL, 46018 Valencia, Spain
| | - Marta Olivares
- Microbial Ecology, Nutrition and Health Research Unit, Institute of Agrochemistry and Food Technology, Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain; (M.O.); (A.B.-P.); (Y.S.)
| | - Alfonso Benítez-Paez
- Microbial Ecology, Nutrition and Health Research Unit, Institute of Agrochemistry and Food Technology, Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain; (M.O.); (A.B.-P.); (Y.S.)
| | - Eva Serrano-Candelas
- ProtoQSAR SL, CEEI (Centro Europeo de Empresas Innovadoras), Parque Tecnológico de Valencia, 46980 Valencia, Spain; (L.E.C.); (E.S.-C.)
| | | | - Yolanda Sanz
- Microbial Ecology, Nutrition and Health Research Unit, Institute of Agrochemistry and Food Technology, Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain; (M.O.); (A.B.-P.); (Y.S.)
| | - Rafael Gozalbes
- ProtoQSAR SL, CEEI (Centro Europeo de Empresas Innovadoras), Parque Tecnológico de Valencia, 46980 Valencia, Spain; (L.E.C.); (E.S.-C.)
- MolDrug AI Systems SL, 46018 Valencia, Spain
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Masuda Y, Mise K, Xu Z, Zhang Z, Shiratori Y, Senoo K, Itoh H. Global soil metagenomics reveals distribution and predominance of Deltaproteobacteria in nitrogen-fixing microbiome. MICROBIOME 2024; 12:95. [PMID: 38790049 PMCID: PMC11127431 DOI: 10.1186/s40168-024-01812-1] [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: 04/28/2023] [Accepted: 04/09/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Biological nitrogen fixation is a fundamental process sustaining all life on earth. While distribution and diversity of N2-fixing soil microbes have been investigated by numerous PCR amplicon sequencing of nitrogenase genes, their comprehensive understanding has been hindered by lack of de facto standard protocols for amplicon surveys and possible PCR biases. Here, by fully leveraging the planetary collections of soil shotgun metagenomes along with recently expanded culture collections, we evaluated the global distribution and diversity of terrestrial diazotrophic microbiome. RESULTS After the extensive analysis of 1,451 soil metagenomic samples, we revealed that the Anaeromyxobacteraceae and Geobacteraceae within Deltaproteobacteria are ubiquitous groups of diazotrophic microbiome in the soils with different geographic origins and land usage types, with particular predominance in anaerobic soils (paddy soils and sediments). CONCLUSION Our results indicate that Deltaproteobacteria is a core bacterial taxon in the potential soil nitrogen fixation population, especially in anaerobic environments, which encourages a careful consideration on deltaproteobacterial diazotrophs in understanding terrestrial nitrogen cycling. Video Abstract.
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Affiliation(s)
- Yoko Masuda
- Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.
- Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.
| | - Kazumori Mise
- National Institute of Advanced Industrial Science and Technology (AIST) Hokkaido, 2-17-2-1 Tsukisamu-higashi, Toyohira, Sapporo, Hokkaido, 062-8517, Japan.
| | - Zhenxing Xu
- Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan
| | - Zhengcheng Zhang
- Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan
| | - Yutaka Shiratori
- Niigata Agricultural Research Institute, 857 Nagakura-machi, Nagaoka, Niigata, 940-0826, Japan
| | - Keishi Senoo
- Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan
- Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan
| | - Hideomi Itoh
- National Institute of Advanced Industrial Science and Technology (AIST) Hokkaido, 2-17-2-1 Tsukisamu-higashi, Toyohira, Sapporo, Hokkaido, 062-8517, Japan.
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Wang JH, Huang PT, Huang YT, Mao YC, Lai CH, Yeh TK, Tseng CH, Kao CC. Characterization of CRISPR-Cas Systems in Shewanella algae and Shewanella haliotis: Insights into the Adaptation and Survival of Marine Pathogens. Pathogens 2024; 13:439. [PMID: 38921737 PMCID: PMC11207072 DOI: 10.3390/pathogens13060439] [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: 01/19/2024] [Revised: 04/25/2024] [Accepted: 05/15/2024] [Indexed: 06/27/2024] Open
Abstract
CRISPR-Cas systems are adaptive immune mechanisms present in most prokaryotes that play an important role in the adaptation of bacteria and archaea to new environments. Shewanella algae is a marine zoonotic pathogen with worldwide distribution, which accounts for the majority of clinical cases of Shewanella infections. However, the characterization of Shewanella algae CRISPR-Cas systems has not been well investigated yet. Through whole genome sequence analysis, we characterized the CRISPR-Cas systems in S. algae. Our results indicate that CRISPR-Cas systems are prevalent in S. algae, with the majority of strains containing the Type I-F system. This study provides new insights into the diversity and function of CRISPR-Cas systems in S. algae and highlights their potential role in the adaptation and survival of these marine pathogens.
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Affiliation(s)
- Jui-Hsing Wang
- Division of Infectious Disease, Department of Internal Medicine, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung 427213, Taiwan;
- Department of Internal Medicine, School of Medicine, Tzu Chi University, Hualien 970374, Taiwan
| | - Po-Tsang Huang
- Division of Pharmacy, Kaohsiung Armed Forces General Hospital, Kaohsiung 802301, Taiwan;
| | - Yao-Ting Huang
- Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi 621301, Taiwan;
| | - Yan-Chiao Mao
- Division of Clinical Toxicology, Department of Emergency Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan;
| | - Chung-Hsu Lai
- Division of Infectious Diseases, Department of Internal Medicine, E-Da Hospital, Kaohsiung 824005, Taiwan;
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung 840301, Taiwan
| | - Ting-Kuang Yeh
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan;
- Genomic Center for Infectious Diseases, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Chien-Hao Tseng
- Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan;
- Genomic Center for Infectious Diseases, Taichung Veterans General Hospital, Taichung 407219, Taiwan
| | - Chih-Chuan Kao
- Division of Infectious Disease, Department of Internal Medicine, Tungs’ Taichung Metroharbor Hospital, Taichung 435403, Taiwan
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Chen JR, Aguirre-Carvajal K, Xue DY, Chang HC, Arone-Maxwell L, Lin YP, Armijos-Jaramillo V, Oliva R. Exploring the genetic makeup of Xanthomonas species causing bacterial spot in Taiwan: evidence of population shift and local adaptation. Front Microbiol 2024; 15:1408885. [PMID: 38846563 PMCID: PMC11153759 DOI: 10.3389/fmicb.2024.1408885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 05/13/2024] [Indexed: 06/09/2024] Open
Abstract
The introduction of plant pathogens can quickly reshape disease dynamics in island agro-ecologies, representing a continuous challenge for local crop management strategies. Xanthomonas pathogens causing tomato bacterial spot were probably introduced in Taiwan several decades ago, creating a unique opportunity to study the genetic makeup and adaptive response of this alien population. We examined the phenotypic and genotypic identity of 669 pathogen entries collected across different regions of Taiwan in the last three decades. The analysis detected a major population shift, where X. euvesicatoria and X. vesicatoria races T1 and T2 were replaced by new races of X. perforans. After its introduction, race T4 quickly became dominant in all tomato-growing areas of the island. The genomic analysis of 317 global genomes indicates that the Xanthomonas population in Taiwan has a narrow genetic background, most likely resulting from a small number of colonization events. However, despite the apparent genetic uniformity, X. perforans race T4 shows multiple phenotypic responses in tomato lines. Additionally, an in-depth analysis of effector composition suggests diversification in response to local adaptation. These include unique mutations on avrXv3 which might allow the pathogen to overcome Xv3/Rx4 resistance gene. The findings underscore the dynamic evolution of a pathogen when introduced in a semi-isolated environment and provide insights into the potential management strategies for this important disease of tomato.
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Affiliation(s)
- Jaw-Rong Chen
- Safe and Sustainable Value Chain, World Vegetable Center, Shanhua, Taiwan
| | - Kevin Aguirre-Carvajal
- Research Center of Information and Communication Technologies, University of A Coruña, A Coruña, Spain
- Bio-Cheminformatics Research Group, Universidad de Las Américas, Quito, Ecuador
| | - Dao-Yuan Xue
- Seed and Seedling Management Section, Taiwan Seed Improvement and Propagation Station, Ministry of Agriculture, Taichung, Taiwan
| | - Hung-Chia Chang
- Safe and Sustainable Value Chain, World Vegetable Center, Shanhua, Taiwan
| | | | - Ya-Ping Lin
- Safe and Sustainable Value Chain, World Vegetable Center, Shanhua, Taiwan
| | - Vinicio Armijos-Jaramillo
- Bio-Cheminformatics Research Group, Universidad de Las Américas, Quito, Ecuador
- Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas, Quito, Ecuador
| | - Ricardo Oliva
- Safe and Sustainable Value Chain, World Vegetable Center, Shanhua, Taiwan
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