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Khan R, Sunthankar KI, Yasinzai AQK, Tareen B, Zarak MS, Khan J, Nasir H, Nakasaki M, Jahangir E, Heneidi S, Ullah A. Primary cardiac sarcoma: demographics, genomic study correlation, and survival benefits of surgery with adjuvant therapy in U.S. population. Clin Res Cardiol 2024; 113:694-705. [PMID: 37246988 DOI: 10.1007/s00392-023-02236-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 05/17/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Cardiac sarcomas are rare and aggressive tumors with little known about the demographics, genetics, or treatment outcomes. OBJECTIVES The objectives of this study were to characterize the demographics, treatment modality, and survival associated with cardiac sarcomas and evaluate the potential for mutation-directed therapies. METHODS All cases from 2000 to 2018 of cardiac sarcoma were extracted from the SEER database. Genomic comparison utilized The Cancer Genome Atlas (TCGA) database, as well as reviews and re-analysis of past applicable genomic studies. RESULTS Cardiac sarcomas occurred most often in White patients, compared with national census data cardiac sarcomas occurred at a significantly higher rate in Asians. The majority of cases were undifferentiated (61.7%) and without distant metastases (71%). Surgery was the most common primary treatment modality and offered survival benefit (HR 0.391 (p = 0.001) that was most pronounced and sustained as compared to patients who received chemotherapy (HR 0.423 (p = 0.001) or radiation (HR 0.826 (p = 0.241) monotherapy. There was no difference in survival when stratified by race or sex; however, younger patients (< 50) had better survival. Genomics data on histologically undifferentiated cardiac sarcomas revealed a significant number were likely poorly differentiated pulmonary intimal sarcomas and angiosarcomas. CONCLUSIONS Cardiac sarcoma is a rare disease with surgery continuing to be a cornerstone of therapy followed by traditional chemotherapy. Case studies have indicated the potential for therapies directed to specific genetic aberrations to improve survival for these patients and utilization of next-generation sequencing (NGS) will help improve both classification and these therapies for cardiac sarcoma patients.
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Affiliation(s)
- Rozi Khan
- Department of Medicine, Medical University of South Carolina, Florence, SC, USA
| | - Kathryn I Sunthankar
- Division of Cardiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | | | - Jaffar Khan
- Department of Pathology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Hassan Nasir
- St. George's University, School of Medicine, University Centre Grenada, West Indies, Grenada
| | - Manando Nakasaki
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Eiman Jahangir
- Division of Cardiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Saleh Heneidi
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Asad Ullah
- Department of Pathology, Vanderbilt University Medical Center, Nashville, TN, USA
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Moreno JA, Dudchenko O, Feigin CY, Mereby SA, Chen Z, Ramos R, Almet AA, Sen H, Brack BJ, Johnson MR, Li S, Wang W, Gaska JM, Ploss A, Weisz D, Omer AD, Yao W, Colaric Z, Kaur P, Leger JS, Nie Q, Mena A, Flanagan JP, Keller G, Sanger T, Ostrow B, Plikus MV, Kvon EZ, Aiden EL, Mallarino R. Emx2 underlies the development and evolution of marsupial gliding membranes. Nature 2024; 629:127-135. [PMID: 38658750 PMCID: PMC11062917 DOI: 10.1038/s41586-024-07305-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 03/13/2024] [Indexed: 04/26/2024]
Abstract
Phenotypic variation among species is a product of evolutionary changes to developmental programs1,2. However, how these changes generate novel morphological traits remains largely unclear. Here we studied the genomic and developmental basis of the mammalian gliding membrane, or patagium-an adaptative trait that has repeatedly evolved in different lineages, including in closely related marsupial species. Through comparative genomic analysis of 15 marsupial genomes, both from gliding and non-gliding species, we find that the Emx2 locus experienced lineage-specific patterns of accelerated cis-regulatory evolution in gliding species. By combining epigenomics, transcriptomics and in-pouch marsupial transgenics, we show that Emx2 is a critical upstream regulator of patagium development. Moreover, we identify different cis-regulatory elements that may be responsible for driving increased Emx2 expression levels in gliding species. Lastly, using mouse functional experiments, we find evidence that Emx2 expression patterns in gliders may have been modified from a pre-existing program found in all mammals. Together, our results suggest that patagia repeatedly originated through a process of convergent genomic evolution, whereby regulation of Emx2 was altered by distinct cis-regulatory elements in independently evolved species. Thus, different regulatory elements targeting the same key developmental gene may constitute an effective strategy by which natural selection has harnessed regulatory evolution in marsupial genomes to generate phenotypic novelty.
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Affiliation(s)
- Jorge A Moreno
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- The Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Charles Y Feigin
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Environment and Genetics, La Trobe University, Bundoora, Victoria, Australia
| | - Sarah A Mereby
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Zhuoxin Chen
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
| | - Raul Ramos
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
| | - Axel A Almet
- Department of Mathematics, University of California, Irvine, Irvine, CA, USA
- NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, Irvine, CA, USA
| | - Harsha Sen
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Benjamin J Brack
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Matthew R Johnson
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Sha Li
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Wei Wang
- Lewis Sigler Center for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Jenna M Gaska
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Alexander Ploss
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - David Weisz
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Arina D Omer
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Weijie Yao
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Zane Colaric
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Parwinder Kaur
- The University of Western Australia, Crawley, Western Australia, Australia
| | - Judy St Leger
- Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Qing Nie
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
- Department of Mathematics, University of California, Irvine, Irvine, CA, USA
- NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, Irvine, CA, USA
- Center for Complex Biological Systems, University of California, Irvine, Irvine, CA, USA
| | | | | | - Greta Keller
- Department of Biology, Loyola University, Chicago, IL, USA
| | - Thomas Sanger
- Department of Biology, Loyola University, Chicago, IL, USA
| | - Bruce Ostrow
- Department of Biology, Grand Valley State University, Allendale, MI, USA
| | - Maksim V Plikus
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
| | - Evgeny Z Kvon
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- The Center for Theoretical Biological Physics, Rice University, Houston, TX, USA.
| | - Ricardo Mallarino
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
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Liu H, Zhang JQ, Zhang RR, Zhao QZ, Su LY, Xu ZS, Cheng ZMM, Tan GF, Xiong AS. The high-quality genome of Cryptotaenia japonica and comparative genomics analysis reveals anthocyanin biosynthesis in Apiaceae. Plant J 2024; 118:717-730. [PMID: 38213282 DOI: 10.1111/tpj.16628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 11/15/2023] [Accepted: 12/27/2023] [Indexed: 01/13/2024]
Abstract
Cryptotaenia japonica, a traditional medicinal and edible vegetable crops, is well-known for its attractive flavors and health care functions. As a member of the Apiaceae family, the evolutionary trajectory and biological properties of C. japonica are not clearly understood. Here, we first reported a high-quality genome of C. japonica with a total length of 427 Mb and N50 length 50.76 Mb, was anchored into 10 chromosomes, which confirmed by chromosome (cytogenetic) analysis. Comparative genomic analysis revealed C. japonica exhibited low genetic redundancy, contained a higher percentage of single-cope gene families. The homoeologous blocks, Ks, and collinearity were analyzed among Apiaceae species contributed to the evidence that C. japonica lacked recent species-specific WGD. Through comparative genomic and transcriptomic analyses of Apiaceae species, we revealed the genetic basis of the production of anthocyanins. Several structural genes encoding enzymes and transcription factor genes of the anthocyanin biosynthesis pathway in different species were also identified. The CjANSa, CjDFRb, and CjF3H gene might be the target of Cjaponica_2.2062 (bHLH) and Cjaponica_1.3743 (MYB). Our findings provided a high-quality reference genome of C. japonica and offered new insights into Apiaceae evolution and biology.
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Affiliation(s)
- Hui Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jia-Qi Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Rong-Rong Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Qin-Zheng Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Li-Yao Su
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zhi-Sheng Xu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zong-Ming Max Cheng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
| | - Guo-Fei Tan
- Institute of Horticulture, Guizhou Academy of Agricultural Sciences, Guiyang, China
| | - Ai-Sheng Xiong
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Ministry of Agriculture and Rural Affairs Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in East China, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China
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Ahmadian M, Bodalal Z, van der Hulst HJ, Vens C, Karssemakers LHE, Bogveradze N, Castagnoli F, Landolfi F, Hong EK, Gennaro N, Pizzi AD, Beets-Tan RGH, van den Brekel MWM, Castelijns JA. Overcoming data scarcity in radiomics/radio genomics using synthetic radiomic features. Comput Biol Med 2024; 174:108389. [PMID: 38593640 DOI: 10.1016/j.compbiomed.2024.108389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024]
Abstract
PURPOSE To evaluate the potential of synthetic radiomic data generation in addressing data scarcity in radiomics/radiogenomics models. METHODS This study was conducted on a retrospectively collected cohort of 386 colorectal cancer patients (n = 2570 lesions) for whom matched contrast-enhanced CT images and gene TP53 mutational status were available. The full cohort data was divided into a training cohort (n = 2055 lesions) and an independent and fixed test set (n = 515 lesions). Differently sized training sets were subsampled from the training cohort to measure the impact of sample size on model performance and assess the added value of synthetic radiomic augmentation at different sizes. Five different tabular synthetic data generation models were used to generate synthetic radiomic data based on "real-world" radiomics data extracted from this cohort. The quality and reproducibility of the generated synthetic radiomic data were assessed. Synthetic radiomics were then combined with "real-world" radiomic training data to evaluate their impact on the predictive model's performance. RESULTS A prediction model was generated using only "real-world" radiomic data, revealing the impact of data scarcity in this particular data set through a lack of predictive performance at low training sample numbers (n = 200, 400, 1000 lesions with average AUC = 0.52, 0.53, and 0.56 respectively, compared to 0.64 when using 2055 training lesions). Synthetic tabular data generation models created reproducible synthetic radiomic data with properties highly similar to "real-world" data (for n = 1000 lesions, average Chi-square = 0.932, average basic statistical correlation = 0.844). The integration of synthetic radiomic data consistently enhanced the performance of predictive models trained with small sample size sets (AUC enhanced by 9.6%, 11.3%, and 16.7% for models trained on n_samples = 200, 400, and 1000 lesions, respectively). In contrast, synthetic data generated from randomised/noisy radiomic data failed to enhance predictive performance underlining the requirement of true signal data to do so. CONCLUSION Synthetic radiomic data, when combined with real radiomics, could enhance the performance of predictive models. Tabular synthetic data generation might help to overcome limitations in medical AI stemming from data scarcity.
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Affiliation(s)
- Milad Ahmadian
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Amsterdam Center for Language and Communication, University of Amsterdam, Amsterdam, the Netherlands.
| | - Zuhir Bodalal
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Hedda J van der Hulst
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Conchita Vens
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; School of Cancer Science, University of Glasgow, Glasgow, Scotland, UK
| | - Luc H E Karssemakers
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Nino Bogveradze
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Department of Radiology, American Hospital Tbilisi, Tbilisi, Georgia
| | - Francesca Castagnoli
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Radiology, Royal Marsden Hospital, London, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Federica Landolfi
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Radiology Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Eun Kyoung Hong
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Seoul National University Hospital, Seoul, South Korea
| | - Nicolo Gennaro
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Department of Radiology, Northwestern University, Chicago, USA
| | - Andrea Delli Pizzi
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; ITAB - Institute for Advanced Biomedical Technologies, G. d'Annunzio University, Chieti, Italy; Department of Innovative Technologies in Medicine and Dentistry, G. D'Annunzio University, Chieti, Italy
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Michiel W M van den Brekel
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands; Amsterdam Center for Language and Communication, University of Amsterdam, Amsterdam, the Netherlands.
| | - Jonas A Castelijns
- Department of Radiology, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
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Martin FM, van der Heijden MGA. The mycorrhizal symbiosis: research frontiers in genomics, ecology, and agricultural application. New Phytol 2024; 242:1486-1506. [PMID: 38297461 DOI: 10.1111/nph.19541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/07/2023] [Indexed: 02/02/2024]
Abstract
Mycorrhizal symbioses between plants and fungi are vital for the soil structure, nutrient cycling, plant diversity, and ecosystem sustainability. More than 250 000 plant species are associated with mycorrhizal fungi. Recent advances in genomics and related approaches have revolutionized our understanding of the biology and ecology of mycorrhizal associations. The genomes of 250+ mycorrhizal fungi have been released and hundreds of genes that play pivotal roles in regulating symbiosis development and metabolism have been characterized. rDNA metabarcoding and metatranscriptomics provide novel insights into the ecological cues driving mycorrhizal communities and functions expressed by these associations, linking genes to ecological traits such as nutrient acquisition and soil organic matter decomposition. Here, we review genomic studies that have revealed genes involved in nutrient uptake and symbiosis development, and discuss adaptations that are fundamental to the evolution of mycorrhizal lifestyles. We also evaluated the ecosystem services provided by mycorrhizal networks and discuss how mycorrhizal symbioses hold promise for sustainable agriculture and forestry by enhancing nutrient acquisition and stress tolerance. Overall, unraveling the intricate dynamics of mycorrhizal symbioses is paramount for promoting ecological sustainability and addressing current pressing environmental concerns. This review ends with major frontiers for further research.
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Affiliation(s)
- Francis M Martin
- Université de Lorraine, INRAE, UMR IAM, Champenoux, 54280, France
- Institute of Applied Mycology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China
| | - Marcel G A van der Heijden
- Department of Agroecology & Environment, Plant-Soil Interactions, Agroscope, Zürich, 8046, Switzerland
- Department of Plant and Microbial Biology, University of Zürich, Zürich, 8057, Switzerland
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Burban E, Tenaillon MI, Glémin S. RIDGE, a tool tailored to detect gene flow barriers across species pairs. Mol Ecol Resour 2024; 24:e13944. [PMID: 38419376 DOI: 10.1111/1755-0998.13944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/19/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024]
Abstract
Characterizing the processes underlying reproductive isolation between diverging lineages is central to understanding speciation. Here, we present RIDGE-Reproductive Isolation Detection using Genomic polymorphisms-a tool tailored for quantifying gene flow barrier proportion and identifying the relevant genomic regions. RIDGE relies on an Approximate Bayesian Computation with a model-averaging approach to accommodate diverse scenarios of lineage divergence. It captures heterogeneity in effective migration rate along the genome while accounting for variation in linked selection and recombination. The barrier detection test relies on numerous summary statistics to compute a Bayes factor, offering a robust statistical framework that facilitates cross-species comparisons. Simulations revealed RIDGE's efficiency in capturing signals of ongoing migration. Model averaging proved particularly valuable in scenarios of high model uncertainty where no migration or migration homogeneity can be wrongly assumed, typically for recent divergence times <0.1 2Ne generations. Applying RIDGE to four published crow data sets, we first validated our tool by identifying a well-known large genomic region associated with mate choice patterns. Second, while we identified a significant overlap of outlier loci using RIDGE and traditional genomic scans, our results suggest that a substantial portion of previously identified outliers are likely false positives. Outlier detection relies on allele differentiation, relative measures of divergence and the count of shared polymorphisms and fixed differences. Our analyses also highlight the value of incorporating multiple summary statistics including our newly developed outlier ones that can be useful in challenging detection conditions.
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Affiliation(s)
- Ewen Burban
- University of Rennes, CNRS, ECOBIO-UMR 6553, Rennes, France
| | - Maud I Tenaillon
- University Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE-Le Moulon, Gif-sur-Yvette, France
| | - Sylvain Glémin
- University of Rennes, CNRS, ECOBIO-UMR 6553, Rennes, France
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
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Prete AA, Angerilli V, Bergamo F, Vettore V, De Toni C, Intini R, Cerma K, Ricagno G, Cerantola R, Perissinotto E, De Rosa A, Ceccon C, Gasparello J, Denaro L, D'Amico A, Chioffi F, Carcea E, Fassan M, Lonardi S. HER2 expression and genOmic characterization of rESected brain metastases from colorectal cancer: the HEROES study. Br J Cancer 2024; 130:1316-1323. [PMID: 38347094 PMCID: PMC11014920 DOI: 10.1038/s41416-023-02569-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/13/2023] [Accepted: 12/21/2023] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Little is known about prognostic factors of brain metastases (BM) from colorectal cancer (CRC). HER2 amplification/overexpression (HER2+) was previously described; its impact on prognosis remains uncertain. METHODS In the translational study HEROES, extensive molecular analysis was performed on primary CRC (prCRC) and their matched resected BM by means of NGS comprehensive genomic profiling and HER2 status as assessed by immunohistochemical/ in situ hybridization. Count of tumour-infiltrating lymphocytes (TILs) was also performed. PRIMARY OBJECTIVE to describe the molecular landscape of paired BM/prCRC. SECONDARY OBJECTIVES to search for new prognostic biomarkers of outcome after BM resection: intracranial-only Progression-Free Survival (BM-iPFS), Progression-Free Survival (BM-PFS), and Overall Survival (BM-OS). RESULTS Out of 22 patients having paired samples of prCRC and BM, HER2+ was found on 4 (18%) BM, 3 (75%) of which also HER2+ in matched prCRC. Lower tumour mutation burden (HR 3.08; 95%CI 1.06-8.93; p = 0.0386) and HER2-negative BM (HER2neg) (HR 7.75;95%CI 1.97-30.40; p = 0.0033) were associated with longer BM-iPFS; HER2neg BM (HR 3.44; 95%CI 1.03-11.53; p = 0.0449) and KRASmut BM (HR 0.31; 95%CI 0.12-0.80; p = 0.0153) conferred longer BM-PFS. Longer BM-OS was found in pts with TILs-enriched (≥1.6/HPF) BM (HR 0.11; 95%CI0.01-0.91; p = 0.0403). CONCLUSIONS This study shows HER2+ enrichment in both BM and their prCRC. TILs-enriched BM conferred better BM-OS.
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Affiliation(s)
| | - Valentina Angerilli
- Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy
| | - Francesca Bergamo
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
| | - Valentina Vettore
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Chiara De Toni
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Rossana Intini
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Krisida Cerma
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | | | - Riccardo Cerantola
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | | | - Antonio De Rosa
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Carlotta Ceccon
- Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy
| | - Jessica Gasparello
- Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy
| | - Luca Denaro
- Academic Neurosurgery, Department of Neurosciences, University of Padua, Padua, Italy
| | - Alberto D'Amico
- Academic Neurosurgery, Department of Neurosciences, University of Padua, Padua, Italy
| | - Franco Chioffi
- Division of Neurosurgery, Azienda Ospedaliera Università di Padova, Padua, Italy
| | - Elena Carcea
- Medical Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Matteo Fassan
- Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy
- Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Sara Lonardi
- Medical Oncology 3, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
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Sandell FL, Holzweber T, Street NR, Dohm JC, Himmelbauer H. Genomic basis of seed colour in quinoa inferred from variant patterns using extreme gradient boosting. Plant Biotechnol J 2024; 22:1312-1324. [PMID: 38213076 PMCID: PMC11022794 DOI: 10.1111/pbi.14267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/03/2023] [Accepted: 11/28/2023] [Indexed: 01/13/2024]
Abstract
Quinoa is an agriculturally important crop species originally domesticated in the Andes of central South America. One of its most important phenotypic traits is seed colour. Seed colour variation is determined by contrasting abundance of betalains, a class of strong antioxidant and free radicals scavenging colour pigments only found in plants of the order Caryophyllales. However, the genetic basis for these pigments in seeds remains to be identified. Here we demonstrate the application of machine learning (extreme gradient boosting) to identify genetic variants predictive of seed colour. We show that extreme gradient boosting outperforms the classical genome-wide association approach. We provide re-sequencing and phenotypic data for 156 South American quinoa accessions and identify candidate genes potentially controlling betalain content in quinoa seeds. Genes identified include novel cytochrome P450 genes and known members of the betalain synthesis pathway, as well as genes annotated as being involved in seed development. Our work showcases the power of modern machine learning methods to extract biologically meaningful information from large sequencing data sets.
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Affiliation(s)
- Felix L. Sandell
- Department of Biotechnology, Institute of Computational BiologyUniversity of Natural Resources and Life Sciences (BOKU)ViennaAustria
| | - Thomas Holzweber
- Department of Biotechnology, Institute of Computational BiologyUniversity of Natural Resources and Life Sciences (BOKU)ViennaAustria
| | - Nathaniel R. Street
- Department of Plant Physiology, Umeå Plant Science CentreUmeå UniversityUmeåSweden
- SciLifeLabUmeå UniversityUmeåSweden
| | - Juliane C. Dohm
- Department of Biotechnology, Institute of Computational BiologyUniversity of Natural Resources and Life Sciences (BOKU)ViennaAustria
| | - Heinz Himmelbauer
- Department of Biotechnology, Institute of Computational BiologyUniversity of Natural Resources and Life Sciences (BOKU)ViennaAustria
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60
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Berseth V, Taylor J, Hutchen J, Nguyen V, Schott S, Klenk N. Constructing the public in public perceptions research: A case study of forest genomics. Public Underst Sci 2024; 33:483-503. [PMID: 38095191 PMCID: PMC11056085 DOI: 10.1177/09636625231210453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Contemporary scientific and technological endeavours face public and political pressure to adopt open, transparent and democratically accountable practices of public engagement. Prior research has identified different ways that experts 'imagine publics' - as uninformed, as disengaged, as a risk to science, and as co-producers of knowledge - but there has yet to be a systematic exploration of how these views emerge, interact and evolve. This article introduces a typology of imagined publics to analyse how publics are constructed in the field of forest genomics. We find that deficit views of publics have not been replaced by co-production. Instead, deficit and co-productive approaches to publics co-exist and overlap, informing both how publics are characterized and how public perceptions are studied. We outline an agenda for deepening and expanding research on public perceptions of novel technologies. Specifically, we call for more diverse and complex methodological approaches that account for relational dynamics over time.
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Raabe NJ, Valek AL, Griffith MP, Mills E, Waggle K, Srinivasa VR, Ayres AM, Bradford C, Creager HM, Pless LL, Sundermann AJ, Van Tyne D, Snyder GM, Harrison LH. Real-time genomic epidemiologic investigation of a multispecies plasmid-associated hospital outbreak of NDM-5-producing Enterobacterales infections. Int J Infect Dis 2024; 142:106971. [PMID: 38373647 PMCID: PMC11055495 DOI: 10.1016/j.ijid.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/05/2024] [Accepted: 02/14/2024] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVES New Delhi metallo-β-lactamase (NDM) is an emergent mechanism of carbapenem resistance associated with high mortality and limited treatment options. Because the blaNDM resistance gene is often carried on plasmids, traditional infection prevention and control (IP&C) surveillance methods and reactive whole genome sequencing (WGS) may not detect plasmid transfer in multispecies outbreaks. METHODS Initial outbreak detection of NDM-producing Enterobacterales identified at an acute care hospital occurred via traditional IP&C methods and was supplemented by real-time WGS surveillance performed weekly. To resolve NDM-encoding plasmids, we performed long-read sequencing and constructed hybrid assemblies. WGS data for suspected outbreaks was shared with the IP&C team for assessment and intervention. RESULTS We observed a multispecies outbreak of NDM-5-producing Enterobacterales isolated from 15 patients between February 2021 and February 2023. The 19 clinical and surveillance isolates sequenced included 7 bacterial species encoding the same NDM-5 plasmid. WGS surveillance and epidemiologic investigation characterized 10 horizontal plasmid transfer events and 6 bacterial transmission events between patients in varying hospital units. CONCLUSIONS Our investigation revealed a complex, multispecies outbreak of NDM involving multiple plasmid transfer and bacterial transmission events. We highlight the utility of combining traditional IP&C and prospective genomic methods in identifying and containing plasmid-associated outbreaks.
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Affiliation(s)
- Nathan J Raabe
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Abby L Valek
- Department of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, PA, USA
| | - Marissa P Griffith
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Emma Mills
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kady Waggle
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Vatsala Rangachar Srinivasa
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashley M Ayres
- Department of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, PA, USA
| | - Claire Bradford
- Department of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, PA, USA
| | - Hannah M Creager
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lora L Pless
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alexander J Sundermann
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Daria Van Tyne
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Graham M Snyder
- Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Infection Control and Hospital Epidemiology, UPMC Presbyterian, Pittsburgh, PA, USA
| | - Lee H Harrison
- Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
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Zayas GA, Rodriguez EE, Hernandez AS, Rezende FM, Mateescu RG. Exploring genomic inbreeding and selection signatures in a commercial Brangus herd through functional annotation. J Appl Genet 2024; 65:383-394. [PMID: 38528244 DOI: 10.1007/s13353-024-00859-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/08/2023] [Accepted: 03/21/2024] [Indexed: 03/27/2024]
Abstract
Composite breeds, including Brangus, are widely utilized in subtropical and tropical regions to harness the advantages of both Bos t. taurus and Bos t. indicus breeds. The formation and subsequent selection of composite breeds may result in discernible signatures of selection and shifts in genomic population structure. The objectives of this study were to 1) assess genomic inbreeding, 2) identify signatures of selection, 3) assign functional roles to these signatures in a commercial Brangus herd, and 4) contrast signatures of selection between selected and non-selected cattle from the same year. A total of 4035 commercial Brangus cattle were genotyped using the GGP-F250K array. Runs of Homozygosity (ROH) were used to identify signatures of selection and calculate genomic inbreeding. Quantitative trait loci (QTL) enrichment analysis and literature search identified phenotypic traits linked to ROH islands. Genomic inbreeding averaged 5%, primarily stemming from ancestors five or more generations back. A total of nine ROH islands were identified, QTL enrichment analysis revealed traits related to growth, milk composition, carcass, reproductive, and meat quality traits. Notably, the ROH island on BTA14 encompasses the pleiomorphic adenoma (PLAG1) gene, which has been linked to growth, carcass, and reproductive traits. Moreover, ROH islands associated with milk yield and composition were more pronounced in selected replacement heifers of the population, underscoring the importance of milk traits in cow-calf production. In summary, our research sheds light on the changing genetic landscape of the Brangus breed due to selection pressures and reveals key genomic regions impacting production traits.
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Affiliation(s)
- Gabriel A Zayas
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA.
| | | | - Aakilah S Hernandez
- Department of Animal Science, North Carolina States University, Raleigh, NC, USA
| | - Fernanda M Rezende
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA
| | - Raluca G Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA
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Bovo S, Ribani A, Schiavo G, Taurisano V, Bertolini F, Fornasini D, Frabetti A, Fontanesi L. Genome-wide association studies for diarrhoea outcomes identified genomic regions affecting resistance to a severe enteropathy in suckling rabbits. J Anim Breed Genet 2024; 141:328-342. [PMID: 38152994 DOI: 10.1111/jbg.12844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/04/2023] [Accepted: 12/16/2023] [Indexed: 12/29/2023]
Abstract
Selection and breeding strategies to improve resistance to enteropathies are essential to reaching the sustainability of the rabbit production systems. However, disease heterogeneity (having only as major visible symptom diarrhoea) and low disease heritability are two barriers for the implementation of these strategies. Diarrhoea condition can affect rabbits at different life stages, starting from the suckling period, with large negative economic impacts. In this study, from a commercial population of suckling rabbits (derived from 133 litters) that experienced an outbreak of enteropathy, we first selected a few animals that died with severe symptoms of diarrhoea and characterized their microbiota, using 16S rRNA gene sequencing data. Clostridium genus was consistently present in all affected specimens. In addition, with the aim to identify genetic markers in the rabbit genome that could be used as selection tools, we performed genome-wide association studies for symptoms of diarrhoea in the same commercial rabbit population. These studies were also complemented with FST analyses between the same groups of rabbits. A total of 332 suckling rabbits (151 with severe symptoms of diarrhoea, 42 with mild symptoms and 129 without any symptoms till the weaning period), derived from 45 different litters (a subset of the 133 litters) were genotyped with the Affymetrix Axiom OrcunSNP Array. In both genomic approaches, rabbits within litters were paired to constitute two groups (susceptible and resistant, including the mildly affected in one or the other group) and run case and control genome-wide association analyses. Genomic heritability estimated in the designed experimental structure integrated in a commercial breeding scheme was 0.19-0.21 (s.e. 0.09-0.10). A total of eight genomic regions on rabbit chromosome 2 (OCU2), OCU3, OCU7, OCU12, OCU13, OCU16 and in an unassembled scaffold had significant single nucleotide polymorphisms (SNPs) and/or markers that trespassed the FST percentile distribution. Among these regions, three main peaks of SNPs were identified on OCU12, OCU13 and OCU16. The QTL region on OCU13 encompasses several genes that encode members of a family of immunoglobulin Fc receptors (FCER1G, FCRLA, FCRLB and FCGR2A) involved in the immune innate system, which might be important candidate genes for this pathogenic condition. The results obtained in this study demonstrated that resistance to an enteropathy occurring in suckling rabbits is in part genetically determined and can be dissected at the genomic level, providing DNA markers that could be used in breeding programmes to increase resistance to enteropathies in meat rabbits.
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Affiliation(s)
- Samuele Bovo
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Anisa Ribani
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Giuseppina Schiavo
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Valeria Taurisano
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Francesca Bertolini
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Daniela Fornasini
- Gruppo Martini S.p.A., Centro Genetica Conigli (Rabbit Genetic Center), Longiano, Italy
| | - Andrea Frabetti
- Gruppo Martini S.p.A., Centro Genetica Conigli (Rabbit Genetic Center), Longiano, Italy
| | - Luca Fontanesi
- Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
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Carvalho VHV, Rodrigues JCG, Vinagre LWMS, Pereira EEB, Monte N, Fernandes MR, Ribeiro-Dos-Santos AM, Guerreiro JF, Ribeiro-Dos-Santos Â, Dos Santos SEB, Dos Santos NPC. Genomic investigation on genes related to mercury metabolism in Amazonian indigenous populations. Sci Total Environ 2024; 923:171232. [PMID: 38402986 DOI: 10.1016/j.scitotenv.2024.171232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
Studies have identified elevated levels of mercury in Amazonian Indigenous individuals, highlighting them as one of the most exposed to risks. In the unique context of the Brazilian Indigenous population, it is crucial to identify genetic variants with clinical significance to better understand vulnerability to mercury and its adverse effects. Currently, there is a lack of research on the broader genomic profile of Indigenous people, particularly those from the Amazon region, concerning mercury contamination. Therefore, the aim of this study was to assess the genomic profile related to the processes of mercury absorption, distribution, metabolism, and excretion in 64 Indigenous individuals from the Brazilian Amazon. We aimed to determine whether these individuals exhibit a higher susceptibility to mercury exposure. Our study identified three high-impact variants (GSTA1 rs1051775, GSTM1 rs1183423000, and rs1241704212), with the latter two showing a higher frequency in the study population compared to global populations. Additionally, we discovered seven new variants with modifier impact and a genomic profile different from the worldwide populations. These genetic variants may predispose the study population to more harmful mercury exposure compared to global populations. As the first study to analyze broader genomics of mercury metabolism pathways in Brazilian Amazonian Amerindians, we emphasize that our research aims to contribute to public policies by utilizing genomic investigation as a method to identify populations with a heightened susceptibility to mercury exposure.
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Affiliation(s)
- Victor Hugo Valente Carvalho
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil.
| | - Juliana Carla Gomes Rodrigues
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
| | - Lui Wallacy Morikawa Souza Vinagre
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
| | - Esdras Edgar Batista Pereira
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
| | - Natasha Monte
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
| | - Marianne Rodrigues Fernandes
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
| | - André Maurício Ribeiro-Dos-Santos
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, 66075-110, Belém, Pará, Brazil
| | - João Farias Guerreiro
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, 66075-110, Belém, Pará, Brazil
| | - Ândrea Ribeiro-Dos-Santos
- Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, 66075-110, Belém, Pará, Brazil
| | - Sidney Emanuel Batista Dos Santos
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
| | - Ney Pereira Carneiro Dos Santos
- Núecleo de Pesquisas em Oncologia, Unidade de Alta Complexidade em Oncologia, Hospital Universitário João de Barros Barreto, 66073-005 Belém, Pará, Brazil
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Chen X, Yuan L, Zhang Y, Wang F, Ma X, Fang J, Cao P, Liu Y, Liu Z, Liu M, Chen J, Zhou X, Liu M, Jin D, Wang T, Lu P, Liu H. Advances towards genome-based acute myeloid leukemia classification: A comparative analysis of WHO-HAEM4R, WHO-HAEM5, and International Consensus Classification. Am J Hematol 2024; 99:824-835. [PMID: 38321864 DOI: 10.1002/ajh.27249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/08/2024]
Abstract
Two recent guidelines, the 5th edition of the World Health Organization Classification of Haematolymphoid Tumours (WHO-HAEM5) and the International Consensus Classification (ICC), were published to refine the diagnostic criteria of acute myeloid leukemia (AML). They both consider genomic features more extensively and expand molecularly defined AML subtypes. In this study, we compared the classifications of 1135 AML cases under both criteria. According to WHO-HAEM5 and ICC, the integration of whole transcriptome sequencing, targeted gene mutation screening, and conventional cytogenetic analysis identified defining genetic abnormalities in 89% and 90% of AML patients, respectively. The classifications displayed discrepancies in 16% of AML cases after being classified using the two guidelines, respectively. Both new criteria significantly reduce the number of cases defined by morphology and differentiation. However, their clinical implementation heavily relies on comprehensive and sophisticated genomic analysis, including genome and transcriptome levels, alongside the assessment of pathogenetic somatic and germline variations. Discrepancies between WHO-HAEM5 and ICC, such as the assignment of RUNX1 mutations, the rationality of designating AML with mutated TP53 as a unique entity, and the scope of rare genetic fusions, along with the priority of concurrent AML-defining genetic abnormalities, are still pending questions requiring further research for more elucidated insights.
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Affiliation(s)
- Xue Chen
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Lili Yuan
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Yang Zhang
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Fang Wang
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Xiaoli Ma
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Jiancheng Fang
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Panxiang Cao
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Yijun Liu
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Zhixiu Liu
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Ming Liu
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Jiaqi Chen
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Xiaosu Zhou
- Molecular Medicine Center, Beijing Lu Daopei Institute of Hematology, Beijing, China
| | - Mingyue Liu
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - David Jin
- Molecular Medicine Center, Beijing Lu Daopei Institute of Hematology, Beijing, China
| | - Tong Wang
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Peihua Lu
- Molecular Medicine Center, Beijing Lu Daopei Institute of Hematology, Beijing, China
- Department of Hematology, Hebei Yanda Lu Daopei Hospital, Langfang, China
| | - Hongxing Liu
- Department of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China
- Molecular Medicine Center, Beijing Lu Daopei Institute of Hematology, Beijing, China
- Division of Pathology and Laboratory Medicine, Beijing Lu Daopei Hospital, Beijing, China
- Department of Oncology, Capital Medical University, Beijing, China
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Gu T, Hu J, Yu L. Evolution and conservation genetics of pangolins. Integr Zool 2024; 19:426-441. [PMID: 38146613 DOI: 10.1111/1749-4877.12796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Pangolins (Pholidota, Manidae) are classified as an evolutionarily distinct and globally endangered mammal due to their unique morphology (nail-like scales and a myrmecophagous diet) and being the victim of heavy poaching and worldwide trafficking. As such, pangolins serve as a textbook example for studying the special phenotypic evolutionary adaptations and conservation genetics of an endangered species. Recent years have demonstrated significant advancements in the fields of molecular genetics and genomics, which have translated to a series of important research achievements and breakthroughs concerning the evolution and conservation genetics of pangolins. This review comprehensively presents the hitherto advances in phylogeny, adaptive evolution, conservation genetics, and conservation genomics that are related to pangolins, which will provide an ample understanding of their diversity, molecular adaptation mechanisms, and evolutionary potentials. In addition, we highlight the priority of investigating species/population diversity among pangolins and suggest several avenues of research that are highly relevant for future pangolin conservation.
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Affiliation(s)
- Tongtong Gu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Jingyang Hu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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Chon E, Hendricks W, White M, Rodrigues L, Haworth D, Post G. Precision Medicine in Veterinary Science. Vet Clin North Am Small Anim Pract 2024; 54:501-521. [PMID: 38212188 DOI: 10.1016/j.cvsm.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Precision medicine focuses on the clinical management of the individual patient, not on population-based findings. Successes from human precision medicine inform veterinary oncology. Early evidence of success for canines shows how precision medicine can be integrated into practice. Decreasing genomic profiling costs will allow increased utilization and subsequent improvement of knowledge base from which to make better informed decisions. Utility of precision medicine in canine oncology will only increase for improved cancer characterization, enhanced therapy selection, and overall more successful management of canine cancer. As such, practitioners are called to interpret and leverage precision medicine reports for their patients.
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Affiliation(s)
- Esther Chon
- Vidium Animal Health, 7201 East Henkel Way, Suite 210, Scottsdale, AZ 85255, USA
| | - William Hendricks
- Vidium Animal Health, 7201 East Henkel Way, Suite 210, Scottsdale, AZ 85255, USA
| | - Michelle White
- OneHealthCompany, Inc, 530 Lytton Avenue, 2nd Floor, Palo Alto, CA 94301, USA
| | - Lucas Rodrigues
- OneHealthCompany, Inc, 530 Lytton Avenue, 2nd Floor, Palo Alto, CA 94301, USA
| | - David Haworth
- Vidium Animal Health, 7201 East Henkel Way, Suite 210, Scottsdale, AZ 85255, USA
| | - Gerald Post
- OneHealthCompany, Inc, 530 Lytton Avenue, 2nd Floor, Palo Alto, CA 94301, USA.
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Tsilimigras DI, Han X, Guglielmi A, Aldrighetti L, Weiss M, Bauer TW, Alexandrescu S, Poultsides GA, Maithel SK, Marques HP, Martel G, Pulitano C, Shen F, Chaucy F, Koerkamp BG, Endo I, Sasaki K, Aucejo F, Zhang XF, Zhu H, Pawlik TM. Early Onset Intrahepatic Cholangiocarcinoma: Clinical Characteristics, Oncological Outcomes, and Genomic/Transcriptomic Features. Ann Surg Oncol 2024; 31:3087-3097. [PMID: 38347332 PMCID: PMC10997729 DOI: 10.1245/s10434-024-15013-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 01/21/2024] [Indexed: 04/08/2024]
Abstract
INTRODUCTION Data on clinical characteristics and disease-specific prognosis among patients with early onset intrahepatic cholangiocarcinoma (ICC) are currently limited. METHODS Patients undergoing hepatectomy for ICC between 2000 and 2020 were identified by using a multi-institutional database. The association of early (≤50 years) versus typical onset (>50 years) ICC with recurrence-free (RFS) and disease-specific survival (DSS) was assessed in the multi-institutional database and validated in an external cohort. The genomic and transcriptomic profiles of early versus late onset ICC were analyzed by using the Total Cancer Genome Atlas (TCGA) and Memorial Sloan Kettering Cancer Center databases. RESULTS Among 971 patients undergoing resection for ICC, 22.7% (n = 220) had early-onset ICC. Patients with early-onset ICC had worse 5-year RFS (24.1% vs. 29.7%, p < 0.05) and DSS (36.5% vs. 48.9%, p = 0.03) compared with patients with typical onset ICC despite having earlier T-stage tumors and lower rates of microvascular invasion. In the validation cohort, patients with early-onset ICC had worse 5-year RFS (7.4% vs. 20.5%, p = 0.002) compared with individuals with typical onset ICC. Using the TCGA cohort, 652 and 266 genes were found to be upregulated (including ATP8A2) and downregulated (including UTY and KDM5D) in early versus typical onset ICC, respectively. Genes frequently implicated as oncogenic drivers, including CDKN2A, IDH1, BRAF, and FGFR2 were infrequently mutated in the early-onset ICC patients. CONCLUSIONS Early-onset ICC has distinct clinical and genomic/transcriptomic features. Morphologic and clinicopathologic characteristics were unable to fully explain differences in outcomes among early versus typical onset ICC patients. The current study offers a preliminary landscape of the molecular features of early-onset ICC.
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Affiliation(s)
- Diamantis I Tsilimigras
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Xu Han
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
- Department of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | | | | | - Matthew Weiss
- Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Todd W Bauer
- Department of Surgery, University of Virginia, Charlottesville, VA, USA
| | | | | | | | - Hugo P Marques
- Department of Surgery, Curry Cabral Hospital, Lisbon, Portugal
| | | | - Carlo Pulitano
- Department of Surgery, Royal Prince Alfred Hospital, University of Sydney, Sydney, Australia
| | - Feng Shen
- Department of Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - François Chaucy
- Department of Hepatobiliopancreatic Surgery and Liver Transplantation, AP-HP, Beaujon Hospital, Clichy, France
| | - Bas Groot Koerkamp
- Department of Surgery, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan
| | - Kazunari Sasaki
- Department of Surgery, Stanford University, Stanford, CA, USA
| | - Federico Aucejo
- Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, USA
| | - Xu-Feng Zhang
- Department of Hepatobiliary Surgery, Institute of Advanced Surgical Technology and Engineering, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hua Zhu
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
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Khasraw M, Yalamanchili P, Santhanagopal A, Wu C, Salas M, Meng J, Karnoub M, Esker S, Felip E. Clinical Management of Patients with Non-Small Cell Lung Cancer, Brain Metastases, and Actionable Genomic Alterations: A Systematic Literature Review. Adv Ther 2024; 41:1815-1842. [PMID: 38509433 PMCID: PMC11052832 DOI: 10.1007/s12325-024-02799-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/19/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Nearly 60% of patients with non-small cell lung cancer (NSCLC) present with metastatic disease, and approximately 20% have brain metastases (BrMs) at diagnosis. During the disease course, 25-50% of patients will develop BrMs. Despite available treatments, survival rates for patients with NSCLC and BrMs remain low, and their overall prognosis is poor. Even with newer agents for NSCLC, options for treating BrMs can be limited by their ineffective transport across the blood-brain barrier (BBB) and the unique brain tumor microenvironment. The presence of actionable genomic alterations (AGAs) is a key determinant of optimal treatment selection, which aims to maximize responses and minimize toxicities. The objective of this systematic literature review (SLR) was to understand the current landscape of the clinical management of patients with NSCLC and BrMs, particularly those with AGAs. METHOD A Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)-compliant SLR was conducted to identify studies in patients with BrMs in NSCLC. Searches used the EMBASE and MEDLINE® databases, and articles published between January 1, 2017 and September 26, 2022 were reviewed. RESULTS Overall, 179 studies were included in the SLR. This subset review focused on 80 studies that included patients with NSCLC, BrMs, and AGAs (19 randomized controlled trials [RCTs], two single-arm studies, and 59 observational studies). Sixty-four of the 80 studies reported on epidermal growth factor receptor (EGFR) mutations, 14 on anaplastic lymphoma kinase (ALK) alterations, and two on both alterations. Ninety-five percent of studies evaluated targeted therapy. All RCTs allowed patients with previously treated, asymptomatic, or neurologically stable BrMs; the percentage of asymptomatic BrMs varied across observational studies. CONCLUSIONS Although targeted therapies demonstrate systemic benefits for patients with NSCLC, BrMs, and AGAs, there remains a continued need for effective therapies to treat and prevent BrMs in this population. Increased BBB permeability of emerging therapies may improve outcomes for this population.
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Affiliation(s)
- Mustafa Khasraw
- The Duke Cancer Institute, School of Medicine, Duke University, 20 Duke Medicine Cir, Durham, NC, 27710, USA.
| | | | | | - Chuntao Wu
- Daiichi Sankyo, Inc, Basking Ridge, NJ, USA
| | - Maribel Salas
- Daiichi Sankyo, Inc, Basking Ridge, NJ, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Jie Meng
- Daiichi Sankyo Europe GmbH, Munich, Germany
| | | | | | - Enriqueta Felip
- Vall d'Hebron University Hospital and Vall d'Hebron Institute of Oncology, Barcelona, Spain
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Zhang W, Yang P, Yang Y, Liu S, Xu Y, Wu C, Wang J, Liu C, Liu H, Li S, Huang W, Jing H. Genomic landscape and distinct molecular subtypes of primary testicular lymphoma. J Transl Med 2024; 22:414. [PMID: 38693538 PMCID: PMC11064289 DOI: 10.1186/s12967-024-05140-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 03/28/2024] [Indexed: 05/03/2024] Open
Abstract
Primary testicular lymphoma (PTL) is a rare lymphoma predominantly occurring in the elderly male population. It is characterized by a limited response to treatment and a heightened tendency towards relapse. Histologically, approximately 90% of PTL cases are classified as diffuse large B-cell lymphomas (DLBCL). Genetic features of PTL were delineated in a limited scope within several independent studies. Some of the articles which analyzed the genetic characterization of DLBCL have incorporated PTL samples, but these have been constrained by small sample sizes. In addition, there have been an absence of independent molecular typing studies of PTL. This report summarizes the common mutational features, copy number variations (CNVs) and molecular typing of PTL patients, based on whole-exome sequencing (WES) conducted on a cohort of 25 PTL patients. Among them, HLA, CDKN2A and MYD88 had a high mutation frequency. In addition, we found two core mutational characteristics in PTL including mutation in genes linked to genomic instability (TP53 and CDKN2A) and mutation in immune-related genes (HLA, MYD88, CD79B). We performed molecular typing of 25 PTL patients into C1 subtype with predominantly TP53 mutations and C2 subtype with predominantly HLA mutations. Notably, mutations in the TP53 gene predicted a poor outcome in most types of lymphomas. However, the C1 subtype, dominated by TP53 mutations, had a better prognosis compared to the C2 subtype in PTL. C2 subtype exhibited a worse prognosis, aligning with our finding that the mechanism of immune escape in PTL was primarily the deletions of HLA rather than PD-L1/PD-L2 alterations, a contrast to other DLBCLs. Moreover, we calculated the tumor mutation burden (TMB) and identified that TMB can predict prognosis and recurrence rate in PTL. Our study underscores the significance of molecular typing in PTL based on mutational characteristics, which plays a crucial role in prognostication and guiding therapeutic strategies for patients.
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Affiliation(s)
- Weilong Zhang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Ping Yang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Yaru Yang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Shuozi Liu
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Yongdeng Xu
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Chaoling Wu
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Jing Wang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China
| | - Cuiling Liu
- Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Hui Liu
- Department of Hematology, Beijing Hospital, National Center of Gerontology, Beijing, 100005, China
| | | | - Wei Huang
- MyGenostics Inc, Beijing, 101300, China
| | - Hongmei Jing
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, 100191, China.
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Kitano T, Tabata M, Takahashi N, Hirasawa K, Igarashi S, Hatanaka Y, Ooyagi A, Igarashi K, Umetsu K. Integrating mitochondrial and nuclear genomic data to decipher the evolutionary history of Eubranchipus species in Japan. Mol Phylogenet Evol 2024; 194:108041. [PMID: 38401813 DOI: 10.1016/j.ympev.2024.108041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 02/09/2024] [Accepted: 02/18/2024] [Indexed: 02/26/2024]
Abstract
Understanding the genetic diversity and evolutionary history of species is crucial for their conservation and management. In this study, we investigated the genetic diversity and phylogenetic relationships among Eubranchipus species occurring in Japan. Phylogenetic analyses revealed that nuclear and mitochondrial data yield incompatible results. In E. uchidai, nuclear data support the monophyly of the Shimokita area, while mitochondrial data indicate a clustering of Higashidori2 individuals with Hokkaido (Ishikari and Wakkanai) E. uchidai. Similar incongruences were observed in E. hatanakai, where nuclear data favor the monophyly of the Chokai area, while mitochondrial data cluster some Chokai pool 3 individuals with Aizu individuals. These incompatibilities might be caused by mitochondrial gene flow. The findings emphasize the importance of considering both nuclear and mitochondrial data during phylogenetic studies and provide valuable insights into the complex dynamics of migration and genetic exchange in Eubranchipus species.
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Affiliation(s)
- Takashi Kitano
- Graduate School of Science and Engineering, Ibaraki University, 4-12-1 Nakanarusawa-cho, Hitachi, Ibaraki 316-8511, Japan.
| | - Mitsutoshi Tabata
- Graduate School of Science and Engineering, Ibaraki University, 4-12-1 Nakanarusawa-cho, Hitachi, Ibaraki 316-8511, Japan
| | | | - Kei Hirasawa
- Aquamarine Inawashiro Kingfishers Aquarium, 3447-4 Osadahigashinakamaru, Inawashiro, Fukushima 969-3283, Japan
| | - Seiki Igarashi
- Environmental Conservation Division, Research Institute of Energy, Environment and Geology, Hokkaido Research Organization, Kita19-jo, Nishi12-chome, Kita-Ku, Sapporo, Hokkaido 060-0819, Japan
| | - Yushi Hatanaka
- Yamagata Prefectural Natural Park, 19-1 Fukura, Yuzamachi, Yamagata 999-8521, Japan
| | - Akira Ooyagi
- Shimokita Field Science Nest, Mutsu, Aomori 035-0077, Japan
| | - Keiji Igarashi
- Sakata UNESCO Association, 2-59, Chuonishimachi, Sakata, Yamagata 998-0034, Japan
| | - Kazuo Umetsu
- Department of Forensic Medicine, Faculty of Medicine, Yamagata University, 2-2-2 Iidanishi, Yamagata, Yamagata 990-9585, Japan
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Guan P, Fan S, Dong W, Wang X, Li Z, Song M, Suo B. Comparative genomic analysis and multilocus sequence typing of Staphylococcus aureus reveals candidate genes for low-temperature tolerance. Sci Total Environ 2024; 923:171331. [PMID: 38428609 DOI: 10.1016/j.scitotenv.2024.171331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
Staphylococcus aureus is one of the most frequently detected foodborne pathogens in cold chain foods. Worryingly, small colony variants (SCVs) can survive in cold environments for a long time and can revert to rapidly growing cells in suitable environments, causing serious food safety issues. This study investigated the underlying mechanism of SCV formation at low temperature (4 °C) via comparative genomics. Multilocus sequence typing (MLST) of 105 strains of S. aureus was divided into 9 sequence types. The ST352 strains exhibited the greatest tolerance to low temperature, with a mean reduction in survival rate of 10.34 % (p < 0.05). Comparative genomics revealed a total of 1941 core genes in the three S. aureus strains, and BB-1 had 468 specific genes, which were enriched mainly in translation, DNA recombination, DNA repair, metabolic pathways, two-component systems, and quorum sensing. Molecular docking analysis revealed that the binding of the RsbW protein to the SigB protein of BB-1 decreased due to base mutations in rsbW, while the binding to the RsbV protein was enhanced. In addition, the results of real-time quantitative PCR showed that the RsbV-RsbW/SigB system of BB-1 may play a role in the low-temperature survival of S. aureus and the formation of SCVs. These results suggest that genes specific to BB-1 may contribute to the mechanism of adaptation to low temperature and the formation of SCVs. This study helps elucidate the causes of SCV formation by S. aureus at low temperature at the molecular level and provides a basis for exploring the safety control of cold chain food environments.
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Affiliation(s)
- Peng Guan
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Shijia Fan
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Wenjing Dong
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China
| | - Xiaojie Wang
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China
| | - Zhen Li
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China
| | - Miao Song
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China
| | - Biao Suo
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, China; Key Laboratory of Staple Grain Processing, Ministry of Agriculture and Rural Affairs, Zhengzhou, China; National R&D Center for Frozen Rice & Wheat Products Processing Technology, Henan Engineering Laboratory of Quick-Frozen Flour-Rice Food and Prepared Food, Henan Agricultural University, Zhengzhou, China.
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Li X, Li C, Zhou L, Wang Q, Yao J, Zhang X, Yu Y, Li R, Zhou H, Tu Y. Global phylogeography and genomic characterization of bla KPC and bla NDM-positive clinical Klebsiella aerogenes isolates from China, 2016-2022. Sci Total Environ 2024; 923:171560. [PMID: 38458455 DOI: 10.1016/j.scitotenv.2024.171560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/03/2024] [Accepted: 03/05/2024] [Indexed: 03/10/2024]
Abstract
Carbapenem-resistant Klebsiella aerogenes (CRKA), being one of the members of carbapenem-resistant Enterobacteriaceae (CRE), has caused great public health concern, but with fewer studies compared to other CRE members. Furthermore, studies on phylogenetic analysis based on whole genome Single-Nucleotide Polymorphism (SNP) of CRKA were limited. Here, 20 CRKA isolates (11 blaKPC-2-bearing and 9 blaNDM-1/5-harboring) were characterized by antimicrobial susceptibility testing, conjugation assay, whole genome sequencing (WGS) and bioinformatics analysis. Additionally, the phylogeographic relationships of K. aerogenes were further investigated from public databases. All isolates were multidrug-resistant (MDR) bacteria, and they demonstrated susceptibility to colistin. Most blaKPC-2 or blaNDM-1/5-carrying plasmids were found to be conjugative. Phylogenetic analysis revealed the clonal dissemination of K. aerogenes primarily occurred within clinical settings. Notably, some strains in this study showed the potential for clonal transmission, sharing few SNPs between K. aerogenes and KPC- and/or NDM-positive K. aerogenes isolated from various countries. The STs of K. aerogenes strains had significant diversity. WGS analysis showed that the IncFIIK plasmid was the most prevalent carrier of blaKPC-2, and, blaNDM-1/5 were detected on the IncX3 plasmids. The Tn6296 and Tn3000 transposons were most common vehicles for facilitating the transmission of blaKPC-2 and blaNDM-1/5, respectively. This study highlights the importance of continuous screening and surveillance by WGS for analysis of drug-resistant strains in hospital settings, and provide clinical information that supports epidemiological and public health research on human pathogens.
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Affiliation(s)
- Xi Li
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Changan Li
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Longjie Zhou
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Qiaojun Wang
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Jiayao Yao
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Xiaofan Zhang
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Yunsong Yu
- Center for General Practice Medicine, Department of Infectious Diseases, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Ruichao Li
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China.
| | - Hua Zhou
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China.
| | - Yuexing Tu
- Department of Critical Care Medicine, Tongde Hospital of Zhejiang Province, #234 Gucui Road, Hangzhou, Zhejiang 310012, China.
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Ferrari V, Galluzzo F, van Kaam JBCHM, Penasa M, Marusi M, Finocchiaro R, Visentin G, Cassandro M. Genetic and genomic evaluation of age at first calving in Italian Holsteins. J Dairy Sci 2024; 107:3104-3113. [PMID: 38135051 DOI: 10.3168/jds.2023-23493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 11/24/2023] [Indexed: 12/24/2023]
Abstract
Age at first calving (AFC) represents the nonproductive period of ∼2 yr in Holstein cows, and thus, it has a relevant effect on the cost of rearing replacements in the dairy herd. In the present study, we aimed to evaluate genetic and genomic aspects of AFC in the Italian Holstein population. Data of 4,206,218 heifers with first calving between 1996 and 2020 were used. Age at first calving averaged 26.09 ± 3.07 mo and decreased across years. Heritability was estimated using a linear animal model which included the fixed effects of herd-year-season of birth and classes of gestation length, and the random animal additive genetic effect fitted to a pedigree-based relationship matrix. The EBV and genomically EBV (GEBV) were obtained, and they were standardized to mean 100 and standard deviation 5, where animals above the mean are those contributing to reduce AFC. Heritability estimates of AFC ranged from 0.031 to 0.045. The trend of sires' GEBV was favorable and indicated a reduced AFC across years. Approximate genetic correlations between GEBV of AFC and GEBV of other economically important traits were calculated on a subset of genotyped females born after 2015. Moderate favorable associations of AFC with production traits (0.39-0.51), udder depth (0.40), interval from first to last insemination in heifer (-0.43), and longevity (0.34) were assessed. Overall, the greatest lifetime productive performances and most favorable days open in first lactation were observed when heifers calved at 22 to 23 mo. In contrast, progeny of sires with GEBV of AFC above the mean yielded more milk, fat, and protein in first lactation, and had shorter days open than progeny of sires with GEBV of AFC below the mean. Results suggested that breeding strategies to improve AFC should be pursued, also considering genetic correlations between AFC and traits which are already part of the Italian Holstein breeding objective. The inclusion of AFC in an aggregate index is expected to contribute to enhance farm income.
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Affiliation(s)
- V Ferrari
- Associazione Nazionale Allevatori della Razza Frisona, Bruna e Jersey Italiana, 26100 Cremona (CR), Italy; Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy.
| | - F Galluzzo
- Associazione Nazionale Allevatori della Razza Frisona, Bruna e Jersey Italiana, 26100 Cremona (CR), Italy; Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia (BO), Italy
| | - J B C H M van Kaam
- Associazione Nazionale Allevatori della Razza Frisona, Bruna e Jersey Italiana, 26100 Cremona (CR), Italy
| | - M Penasa
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy
| | - M Marusi
- Associazione Nazionale Allevatori della Razza Frisona, Bruna e Jersey Italiana, 26100 Cremona (CR), Italy
| | - R Finocchiaro
- Associazione Nazionale Allevatori della Razza Frisona, Bruna e Jersey Italiana, 26100 Cremona (CR), Italy
| | - G Visentin
- Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, 40064 Ozzano dell'Emilia (BO), Italy
| | - M Cassandro
- Associazione Nazionale Allevatori della Razza Frisona, Bruna e Jersey Italiana, 26100 Cremona (CR), Italy; Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy
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Yang J, Xiong Y, Barkema HW, Tong X, Lin Y, Deng Z, Kastelic JP, Nobrega DB, Wang Y, Han B, Gao J. Comparative genomic analyses of Klebsiella pneumoniae K57 capsule serotypes isolated from bovine mastitis in China. J Dairy Sci 2024; 107:3114-3126. [PMID: 37944808 DOI: 10.3168/jds.2023-23721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/21/2023] [Indexed: 11/12/2023]
Abstract
Klebsiella pneumoniae can cause severe clinical mastitis in dairy cows, with K. pneumoniae type K57 (K57-KP) being the most common capsular serotype. To identify virulence factors and antimicrobial-resistance (AMR) genes of K57-KP with varying virulence, Galleria mellonella (greater wax moth) larvae were infected as a screening model to characterize virulence of 90 K57-KP strains, with 10 and 11 strains defined as virulent or attenuated, respectively, based on larval survival rates. Next, virulence of these 21 isolates was subsequently confirmed in adhesion and lactate dehydrogenase release assays, using bovine mammary epithelial cells cultured in vitro. Finally, genes associated with virulence and AMR were characterize with whole-genome sequencing. These 21 K57-KP strains were designated into 16 sequence types based on multi-locus sequence typing and allocated in phylogenetic analysis based on single nucleotide polymorphisms. We found great genetic diversity among isolates. In addition, adhesion-associated genes (e.g., fimA, sfaA, and focA) aminoglycoside-resistance genes (aph(6)-Id, strAB) were associated with virulence. This study provided new knowledge regarding virulence of K57-KP associated with bovine mastitis, which may inform development of novel diagnostic tools and prevention strategies for bovine mastitis.
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Affiliation(s)
- Jingyue Yang
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yindi Xiong
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Herman W Barkema
- Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Xiaofang Tong
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yushan Lin
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Zhaoju Deng
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - John P Kastelic
- Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Diego B Nobrega
- Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - Yue Wang
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Bo Han
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
| | - Jian Gao
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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Schmitt T, Poirel HA, Cauët E, Delnord M, Van den Bulcke M. Unlocking the genomic landscape: Results of the Beyond 1 Million Genomes (B1MG) pilot in Belgium towards Genomic Data Infrastructure (GDI). Health Policy 2024; 143:105060. [PMID: 38598968 DOI: 10.1016/j.healthpol.2024.105060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 03/26/2024] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
Genomic medicine has great potential to offer insights into how humans' genetic variation can affect their health, prevention options and treatment responses. The Beyond 1 Million Genomes (B1MG) project was kicked off in 2020 with the aim of building a federated network of genomic data in Europe, in which Belgium took part as a piloting country. B1MG developed a framework to enable all interested countries to self-evaluate the level of maturity of national genomic medicine practices following a common matrix, called Maturity Level Model (MLM), that contained 49 indicators across eight domains: I. Governance and strategy; II. Investment and economic model; III. Ethics, legislation and policy; IV. Public awareness and acceptance; V. Workforce skills and organisation; VI. Clinical organisation, infrastructure and tools; VII. Clinical genomics guidelines and infrastructure; and VIII. Data management, standards and infrastructure. The ongoing Genomic Data Infrastructure (GDI) project aims to capitalise on the experience of B1MG piloting countries and their MLM results. In this paper, we present the qualitative and quantitative outcomes of B1MG MLM assessment in Belgium and discuss their relevance to GDI. The insights gained from this study can be helpful for steering future policy directions and interventions on genomics in Belgium and beyond.
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Affiliation(s)
- Tugce Schmitt
- Cancer Centre, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, Brussels 1050, Belgium.
| | - Hélène A Poirel
- Cancer Centre, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, Brussels 1050, Belgium
| | - Emilie Cauët
- Cancer Centre, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, Brussels 1050, Belgium
| | - Marie Delnord
- Cancer Centre, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, Brussels 1050, Belgium
| | - Marc Van den Bulcke
- Cancer Centre, Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, Brussels 1050, Belgium
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Diaz-Recio Lorenzo C, Tran Lu Y A, Brunner O, Arbizu PM, Jollivet D, Laurent S, Gollner S. Highly structured populations of copepods at risk to deep-sea mining: Integration of genomic data with demogenetic and biophysical modelling. Mol Ecol 2024; 33:e17340. [PMID: 38605683 DOI: 10.1111/mec.17340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 02/25/2024] [Accepted: 03/04/2024] [Indexed: 04/13/2024]
Abstract
Copepoda is the most abundant taxon in deep-sea hydrothermal vents, where hard substrate is available. Despite the increasing interest in seafloor massive sulphides exploitation, there have been no population genomic studies conducted on vent meiofauna, which are known to contribute over 50% to metazoan biodiversity at vents. To bridge this knowledge gap, restriction-site-associated DNA sequencing, specifically 2b-RADseq, was used to retrieve thousands of genome-wide single-nucleotide polymorphisms (SNPs) from abundant populations of the vent-obligate copepod Stygiopontius lauensis from the Lau Basin. SNPs were used to investigate population structure, demographic histories and genotype-environment associations at a basin scale. Genetic analyses also helped to evaluate the suitability of tailored larval dispersal models and the parameterization of life-history traits that better fit the population patterns observed in the genomic dataset for the target organism. Highly structured populations were observed on both spatial and temporal scales, with divergence of populations between the north, mid, and south of the basin estimated to have occurred after the creation of the major transform fault dividing the Australian and the Niuafo'ou tectonic plate (350 kya), with relatively recent secondary contact events (<20 kya). Larval dispersal models were able to predict the high levels of structure and the highly asymmetric northward low-level gene flow observed in the genomic data. These results differ from most studies conducted on megafauna in the region, elucidating the need to incorporate smaller size when considering site prospecting for deep-sea exploitation of seafloor massive sulphides, and the creation of area-based management tools to protect areas at risk of local extinction, should mining occur.
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Affiliation(s)
- Coral Diaz-Recio Lorenzo
- Adaptation et Diversité en Milieu Marin (AD2M), Station Biologique de Roscoff, Sorbonne Université, CNRS, Roscoff, France
| | - Adrien Tran Lu Y
- UMR MARBEC, University of Montpellier, IRD, Ifremer, CNRS, Sète, France
| | - Otis Brunner
- Okinawa Institute for Science and Technology, Kunigami-gun, Okinawa, Japan
| | - Pedro Martínez Arbizu
- Senckenberg am Meer, German Centre for Marine Biodiversity Research, Wilhelmshaven, Germany
| | - Didier Jollivet
- Adaptation et Diversité en Milieu Marin (AD2M), Station Biologique de Roscoff, Sorbonne Université, CNRS, Roscoff, France
| | | | - Sabine Gollner
- NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, 't Horntje (Texel), The Netherlands
- Utrecht University, Utrecht, The Netherlands
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Ramos-Lorente SE, Berzal-Herranz B, Romero-López C, Berzal-Herranz A. Recruitment of the 40S ribosomal subunit by the West Nile virus 3' UTR promotes the cross-talk between the viral genomic ends for translation regulation. Virus Res 2024; 343:199340. [PMID: 38387694 PMCID: PMC10907855 DOI: 10.1016/j.virusres.2024.199340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 02/24/2024]
Abstract
Flaviviral RNA genomes are composed of discrete RNA structural units arranged in an ordered fashion and grouped into complex folded domains that regulate essential viral functions, e.g. replication and translation. This is achieved by adjusting the overall structure of the RNA genome via the establishment of inter- and intramolecular interactions. Translation regulation is likely the main process controlling flaviviral gene expression. Although the genomic 3' UTR is a key player in this regulation, little is known about the molecular mechanisms underlying this role. The present work provides evidence for the specific recruitment of the 40S ribosomal subunit by the 3' UTR of the West Nile virus RNA genome, showing that the joint action of both genomic ends contributes the positioning of the 40S subunit at the 5' end. The combination of structural mapping techniques revealed specific conformational requirements at the 3' UTR for 40S binding, involving the highly conserved SL-III, 5'DB, 3'DB and 3'SL elements, all involved in the translation regulation. These results point to the 40S subunit as a bridge to ensure cross-talk between both genomic ends during viral translation and support a link between 40S recruitment by the 3' UTR and translation control.
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Affiliation(s)
- Sara Esther Ramos-Lorente
- Instituto de Parasitología y Biomedicina "López-Neyra" (IPBLN), CSIC, Av. del Conocimiento 17, 18016 Armilla Granada, Spain
| | - Beatriz Berzal-Herranz
- Instituto de Parasitología y Biomedicina "López-Neyra" (IPBLN), CSIC, Av. del Conocimiento 17, 18016 Armilla Granada, Spain
| | - Cristina Romero-López
- Instituto de Parasitología y Biomedicina "López-Neyra" (IPBLN), CSIC, Av. del Conocimiento 17, 18016 Armilla Granada, Spain.
| | - Alfredo Berzal-Herranz
- Instituto de Parasitología y Biomedicina "López-Neyra" (IPBLN), CSIC, Av. del Conocimiento 17, 18016 Armilla Granada, Spain.
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79
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Congiu M, Falchi L, Carta S, Cesarani A, Dimauro C, Correddu F, Macciotta NPP. Investigation of phenotypic, genetic and genomic background of Milk spectra in Sarda dairy sheep. J Anim Breed Genet 2024; 141:317-327. [PMID: 38148615 DOI: 10.1111/jbg.12843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 09/14/2023] [Accepted: 12/16/2023] [Indexed: 12/28/2023]
Abstract
Aim of this study was to analyse the genetic background of milk Fourier transform infrared (FTIR) spectra in dairy sheep. Individual milk FTIR spectra, with 1060 wavenumbers each, were available for 793 adult Sarda breed ewes genotyped at 45,813 SNP. The absorbance values of each wavenumber was analysed using a linear mixed model that included dim class, parity and lambing month as fixed effects and flock-test date and animal as random effects. The model was applied to estimate variance components and heritability and to perform a genome-wide association study for each wavenumber. Average h2 of wavenumbers absorbance was 0.13 ± 0.08, with the largest values observed in the regions associated with the characteristic bonds of carbonylic and methylenic groups of milk fat (h2 = 0.57 at 1724-1728 cm-1; and h2 = 0.34 at 2811-2834 cm-1, respectively). The absorbance values of wavenumbers were moderately correlated with the estimated heritabilities. After the Bonferroni correction, a total of nine markers were found to be significantly associated with 32 different wavenumbers. Of particular interest was the SNP s63269.1, mapped on chromosome 2, that was found to be associated with 27 wavenumbers. Genes previously found to be related to traits of interest (e.g. disease resistance, milk yield and quality, cheese firmness) are located close to the significant SNP. As expected, the heritability estimated for the absorbance of each wavenumbers seems to be associated with the related milk components.
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Affiliation(s)
- Michele Congiu
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | - Laura Falchi
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | - Silvia Carta
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | - Alberto Cesarani
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
- Department of Animal and Dairy Science, University of Georgia, Athens, Georgia, USA
| | - Corrado Dimauro
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | - Fabio Correddu
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
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Montecillo JAV, Billacura MP, Billacura MDG. Reclassification of Aestuariicella albida as Pseudomaricurvus albidus comb. nov. and Aestuariicella hydrocarbonica as Pseudomaricurvus hydrocarbonicus comb. nov. Based on Comparative Genomics and Molecular Synapomorphies. Curr Microbiol 2024; 81:159. [PMID: 38689166 DOI: 10.1007/s00284-024-03683-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 03/30/2024] [Indexed: 05/02/2024]
Abstract
The genus Aestuariicella has been recently reclassified as a member of the family Cellvibrionaceae. However, the taxonomic position of the genus as a distinct member of the family has not been clarified. In the present study, we performed multilayered analyses anchored on genome sequences to clarify the relationship between the genera Aestuariicella and Pseudomaricurvus within the family Cellvibrionaceae. Phylogenetic analyses based on 16S rRNA gene, RNA polymerase beta subunit (RpoB) protein, and core gene sequences showed a well-supported tight cluster formed by the members of the two genera. Moreover, the analysis of the average amino acid identity (AAI) revealed that the members of the two genera shared 68.16-79.48% AAI, values which were within the range of observed AAI (≥ 67.23%) among the members of the same genus within the family Cellvibrionaceae. Members of the two genera also shared several common characteristics. Furthermore, molecular synapomorphies in a form of conserved signature indels were identified in six protein sequences that were exclusively shared by the members of the two genera. Based on the phylogenetic and molecular evidence presented here, we propose the reclassification of the species Aestuariicella albida and Aestuariicella hydrocarbonica as Pseudomaricurvus albidus comb. nov. and Pseudomaricurvus hydrocarbonicus comb. nov., respectively.
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Affiliation(s)
- Jake Adolf V Montecillo
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, 38541, Republic of Korea.
| | - Merell P Billacura
- Department of Chemistry, Mindanao State University-Main Campus, 9700, Marawi, Lanao del Sur, Philippines
| | - Maria Distressa G Billacura
- Department of Chemistry, Mindanao State University-Iligan Institute of Technology, Andres Bonifacio Avenue, Tibanga, 9200, Iligan, Lanao del Norte, Philippines
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81
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Liang G, Cao W, Tang D, Zhang H, Yu Y, Ding J, Karges J, Xiao H. Nanomedomics. ACS Nano 2024; 18:10979-11024. [PMID: 38635910 DOI: 10.1021/acsnano.3c11154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Nanomaterials have attractive physicochemical properties. A variety of nanomaterials such as inorganic, lipid, polymers, and protein nanoparticles have been widely developed for nanomedicine via chemical conjugation or physical encapsulation of bioactive molecules. Superior to traditional drugs, nanomedicines offer high biocompatibility, good water solubility, long blood circulation times, and tumor-targeting properties. Capitalizing on this, several nanoformulations have already been clinically approved and many others are currently being studied in clinical trials. Despite their undoubtful success, the molecular mechanism of action of the vast majority of nanomedicines remains poorly understood. To tackle this limitation, herein, this review critically discusses the strategy of applying multiomics analysis to study the mechanism of action of nanomedicines, named nanomedomics, including advantages, applications, and future directions. A comprehensive understanding of the molecular mechanism could provide valuable insight and therefore foster the development and clinical translation of nanomedicines.
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Affiliation(s)
- Ganghao Liang
- Beijing National Laboratory for Molecular Sciences, Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Wanqing Cao
- Key Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, 96 Jinzhai Road, Hefei 230026, P. R. China
| | - Dongsheng Tang
- Beijing National Laboratory for Molecular Sciences, Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Hanchen Zhang
- Beijing National Laboratory for Molecular Sciences, Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yingjie Yu
- State Key Laboratory of Organic-Inorganic Composites, Beijing Laboratory of Biomedical Materials, Beijing University of Chemical Technology, Beijing 100029, P. R. China
| | - Jianxun Ding
- Key Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun 130022, P. R. China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, 96 Jinzhai Road, Hefei 230026, P. R. China
| | - Johannes Karges
- Faculty of Chemistry and Biochemistry, Ruhr-University Bochum, Universitätsstrasse 150, 44780 Bochum, Germany
| | - Haihua Xiao
- Beijing National Laboratory for Molecular Sciences, Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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82
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Rodriguez-Ruiz JP, Xavier BB, Stöhr W, van Heirstraeten L, Lammens C, Finn A, Goossens H, Bielicki JA, Sharland M, Malhotra-Kumar S. High-resolution genomics identifies pneumococcal diversity and persistence of vaccine types in children with community-acquired pneumonia in the UK and Ireland. BMC Microbiol 2024; 24:146. [PMID: 38678217 PMCID: PMC11055344 DOI: 10.1186/s12866-024-03300-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/11/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Streptococcus pneumoniae is a global cause of community-acquired pneumonia (CAP) and invasive disease in children. The CAP-IT trial (grant No. 13/88/11; https://www.capitstudy.org.uk/ ) collected nasopharyngeal swabs from children discharged from hospitals with clinically diagnosed CAP, and found no differences in pneumococci susceptibility between higher and lower antibiotic doses and shorter and longer durations of oral amoxicillin treatment. Here, we studied in-depth the genomic epidemiology of pneumococcal (vaccine) serotypes and their antibiotic resistance profiles. METHODS Three-hundred and ninety pneumococci cultured from 1132 nasopharyngeal swabs from 718 children were whole-genome sequenced (Illumina) and tested for susceptibility to penicillin and amoxicillin. Genome heterogeneity analysis was performed using long-read sequenced isolates (PacBio, n = 10) and publicly available sequences. RESULTS Among 390 unique pneumococcal isolates, serotypes 15B/C, 11 A, 15 A and 23B1 were most prevalent (n = 145, 37.2%). PCV13 serotypes 3, 19A, and 19F were also identified (n = 25, 6.4%). STs associated with 19A and 19F demonstrated high genome variability, in contrast to serotype 3 (n = 13, 3.3%) that remained highly stable over a 20-year period. Non-susceptibility to penicillin (n = 61, 15.6%) and amoxicillin (n = 10, 2.6%) was low among the pneumococci analysed here and was independent of treatment dosage and duration. However, all 23B1 isolates (n = 27, 6.9%) were penicillin non-susceptible. This serotype was also identified in ST177, which is historically associated with the PCV13 serotype 19F and penicillin susceptibility, indicating a potential capsule-switch event. CONCLUSIONS Our data suggest that amoxicillin use does not drive pneumococcal serotype prevalence among children in the UK, and prompts consideration of PCVs with additional serotype coverage that are likely to further decrease CAP in this target population. Genotype 23B1 represents the convergence of a non-vaccine genotype with penicillin non-susceptibility and might provide a persistence strategy for ST types historically associated with vaccine serotypes. This highlights the need for continued genomic surveillance.
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Affiliation(s)
- Juan Pablo Rodriguez-Ruiz
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
| | - Basil Britto Xavier
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
| | - Wolfgang Stöhr
- MRC Clinical Trials Unit, University College London, London, UK
| | - Liesbet van Heirstraeten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
| | - Christine Lammens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
| | | | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
| | - Julia Anna Bielicki
- Paediatric Infectious Diseases Research Group, St George's University of London, London, UK
| | - Michael Sharland
- Paediatric Infectious Diseases Research Group, St George's University of London, London, UK
| | - Surbhi Malhotra-Kumar
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium.
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Lee J, Um S, Kim EH, Kim SH. Genomic and Metabolomic Analyses of Nocardiopsis maritima YSL2 as the Mycorrhizosphere Bacterium of Suaeda maritima (L.) Dumort. J Nat Prod 2024; 87:733-742. [PMID: 38573876 DOI: 10.1021/acs.jnatprod.3c00843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Nine bacteria were isolated from the episphere of Suaeda maritima (L.) Dumort. Among them, the bacterial strain YSL2 displayed the highest antimicrobial activity on agar plates and exhibited significant novelty compared with other bacteria based on 16S rRNA analysis. Consequently, Nocardiopsis maritima YSL2T was subjected to phenotypic characterization and whole-genome sequencing. Phylogenetic analysis revealed its close association with Nocardiopsis aegyptia SNG49T. Furthermore, genomic analysis of strain YSL2T revealed the presence of various gene clusters, indicating its potential for producing antimicrobial secondary metabolites. Upon cultivation on a large scale, maritiamides A and B (1 and 2) were isolated and characterized as cyclic hexapeptides based on nuclear magnetic resonance, ultraviolet, infrared, and mass spectrometric data. The absolute configurations of the amino acid residues in the maritiamides were determined through chiral derivatization, utilizing FDAA and GITC. Maritiamides 1 and 2 exhibited promising antibacterial activities against Staphylococcus epidermidis and weakly inhibited the growth of Escherichia coli and Pseudomonas fluorescens.
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Affiliation(s)
- Jaeyoun Lee
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon 21983, South Korea
| | - Soohyun Um
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon 21983, South Korea
| | - Eun-Hee Kim
- Ochang Center, Korea Basic Science Institute, 162 Yeongudanji-Ro, Ochang-Eup, Cheongju-Si, Chungcheongbuk-Do 28119, South Korea
| | - Seung Hyun Kim
- College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon 21983, South Korea
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84
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Liu D, Zhou L, Zhang Z, Zhang Y, Wang Z, Li S, Zhu Y, Zheng H, Zhang Z, Tian Z. Epidemiological and Genomic analysis of Vibrio parahaemolyticus isolated from imported travelers at the port of Shanghai, China (2017-2019). BMC Microbiol 2024; 24:145. [PMID: 38671363 PMCID: PMC11046881 DOI: 10.1186/s12866-024-03303-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Vibrio parahaemolyticus is the predominant etiological agent of seafood-associated foodborne illnesses on a global scale. It is essential to elucidate the mechanisms by which this pathogen disseminates. Given the existing research predominantly concentrates on localized outbreaks, there is a pressing necessity for a comprehensive investigation to capture strains of V. parahaemolyticus cross borders. RESULTS This study examined the frequency and genetic attributes of imported V. parahaemolyticus strains among travelers entering Shanghai Port, China, between 2017 and 2019.Through the collection of 21 strains from diverse countries and regions, Southeast Asia was pinpointed as a significant source for the emergence of V. parahaemolyticus. Phylogenetic analysis revealed clear delineation between strains originating from human and environmental sources, emphasizing that underlying genome data of foodborne pathogens is essential for environmental monitoring, food safety and early diagnosis of diseases. Furthermore, our study identified the presence of virulence genes (tdh and tlh) and approximately 120 antibiotic resistance-related genes in the majority of isolates, highlighting their crucial involvement in the pathogenesis of V. parahaemolyticus. CONCLUSIONS This research enhanced our comprehension of the worldwide transmission of V. parahaemolyticus and its antimicrobial resistance patterns. The findings have important implications for public health interventions and antimicrobial stewardship strategies, underscoring the necessity for epidemiological surveillance of pathogen at international travel hubs.
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Affiliation(s)
- Danlei Liu
- Shanghai International Travel Healthcare Center, Shanghai Customs District P. R. China, Shanghai, 200136, China
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Life Sciences, Fudan University, Shanghai, 200237, China
| | - Lei Zhou
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Life Sciences, Fudan University, Shanghai, 200237, China
| | - Zilei Zhang
- Inspection and Quarantine Technology Communication Department, Shanghai Customs College, Shanghai, 200136, China
| | - Ying Zhang
- State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangzhou, 510070, China
| | - Zhiyi Wang
- Shanghai International Travel Healthcare Center, Shanghai Customs District P. R. China, Shanghai, 200136, China
| | - Shenwei Li
- Shanghai International Travel Healthcare Center, Shanghai Customs District P. R. China, Shanghai, 200136, China
| | - Yongqiang Zhu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Life Sciences, Fudan University, Shanghai, 200237, China
| | - Huajun Zheng
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Life Sciences, Fudan University, Shanghai, 200237, China.
| | - Zilong Zhang
- Shanghai International Travel Healthcare Center, Shanghai Customs District P. R. China, Shanghai, 200136, China.
| | - Zhengan Tian
- Shanghai International Travel Healthcare Center, Shanghai Customs District P. R. China, Shanghai, 200136, China.
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85
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Zhang CM, Liu ZH. [Analysis and precise intervention on pathogenic genes and mechanisms of lupus nephritis]. Zhonghua Yi Xue Za Zhi 2024; 104:1367-1370. [PMID: 38644286 DOI: 10.3760/cma.j.cn112137-20231028-00922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Lupus nephritis is the most common complication of systemic lupus erythematosus (SLE) and an important cause of end-stage kidney disease and death in patients with SLE. The pathogenesis of SLE is complex, with no effective treatment and poor long-term prognosis. The development of genomic medicine provides a new way to explore the disease-causing genes and pathogenesis of lupus nephritis. Here, the article introduces how to uncover the pathogenesis of lupus nephritis from the genome level and explore new strategies for diagnosis and treatment on this disease.
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Affiliation(s)
- C M Zhang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing 210002, China
| | - Z H Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing 210002, China
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86
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Zhang J, Cong Q, Shen J, Song L, Hallwachs W, Janzen DH, Sourakov A, Grishin NV. What one genus of showy moths can say about migration, adaptation, and wing pattern. Proc Natl Acad Sci U S A 2024; 121:e2319726121. [PMID: 38630713 PMCID: PMC11047066 DOI: 10.1073/pnas.2319726121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/15/2024] [Indexed: 04/19/2024] Open
Abstract
The Ornate Moth, Utetheisa ornatrix, has served as a model species in chemical ecology studies for decades. Like in the widely publicized stories of the Monarch and other milkweed butterflies, the Ornate Moth and its relatives are tropical insects colonizing whole continents assisted by their chemical defenses. With the recent advances in genomic techniques and evo-devo research, it is becoming a model for studies in other areas, from wing pattern development to phylogeography, from toxicology to epigenetics. We used a genomic approach to learn about Utetheisa's evolution, detoxification, dispersal abilities, and wing pattern diversity. We present an evolutionary genomic analysis of the worldwide genus Utetheisa, then focusing on U. ornatrix. Our reference genome of U. ornatrix reveals gene duplications in the regions possibly associated with detoxification abilities, which allows them to feed on toxic food plants. Finally, comparative genomic analysis of over 100 U. ornatrix specimens from the museum with apparent differences in wing patterns suggest the potential roles of cortex and lim3 genes in wing pattern formation of Lepidoptera and the utility of museum-preserved collection specimens for wing pattern research.
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Affiliation(s)
- Jing Zhang
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX75390
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX75390
| | - Qian Cong
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX75390
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX75390
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX75390
| | - Jinhui Shen
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX75390
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX75390
| | - Leina Song
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX75390
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX75390
| | - Winnie Hallwachs
- Department of Biology, University of Pennsylvania, Philadelphia, PA19104
| | - Daniel H. Janzen
- Department of Biology, University of Pennsylvania, Philadelphia, PA19104
| | - Andrei Sourakov
- McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL32611
| | - Nick V. Grishin
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX75390
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX75390
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87
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Sebastianelli M, Lukhele SM, Secomandi S, de Souza SG, Haase B, Moysi M, Nikiforou C, Hutfluss A, Mountcastle J, Balacco J, Pelan S, Chow W, Fedrigo O, Downs CT, Monadjem A, Dingemanse NJ, Jarvis ED, Brelsford A, vonHoldt BM, Kirschel ANG. A genomic basis of vocal rhythm in birds. Nat Commun 2024; 15:3095. [PMID: 38653976 DOI: 10.1038/s41467-024-47305-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 03/22/2024] [Indexed: 04/25/2024] Open
Abstract
Vocal rhythm plays a fundamental role in sexual selection and species recognition in birds, but little is known of its genetic basis due to the confounding effect of vocal learning in model systems. Uncovering its genetic basis could facilitate identifying genes potentially important in speciation. Here we investigate the genomic underpinnings of rhythm in vocal non-learning Pogoniulus tinkerbirds using 135 individual whole genomes distributed across a southern African hybrid zone. We find rhythm speed is associated with two genes that are also known to affect human speech, Neurexin-1 and Coenzyme Q8A. Models leveraging ancestry reveal these candidate loci also impact rhythmic stability, a trait linked with motor performance which is an indicator of quality. Character displacement in rhythmic stability suggests possible reinforcement against hybridization, supported by evidence of asymmetric assortative mating in the species producing faster, more stable rhythms. Because rhythm is omnipresent in animal communication, candidate genes identified here may shape vocal rhythm across birds and other vertebrates.
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Affiliation(s)
- Matteo Sebastianelli
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus.
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, 751 23, Uppsala, Sweden.
| | - Sifiso M Lukhele
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus
| | - Simona Secomandi
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus
| | - Stacey G de Souza
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus
| | - Bettina Haase
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | - Michaella Moysi
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus
| | - Christos Nikiforou
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus
| | - Alexander Hutfluss
- Behavioural Ecology, Faculty of Biology, LMU Munich (LMU), 82152, Planegg-Martinsried, Germany
| | | | - Jennifer Balacco
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | | | | | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | - Colleen T Downs
- Centre for Functional Biodiversity, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, 3209, South Africa
| | - Ara Monadjem
- Department of Biological Sciences, University of Eswatini, Kwaluseni, Eswatini
- Mammal Research Institute, Department of Zoology & Entomology, University of Pretoria, Private Bag 20, Hatfield, 0028, Pretoria, South Africa
| | - Niels J Dingemanse
- Behavioural Ecology, Faculty of Biology, LMU Munich (LMU), 82152, Planegg-Martinsried, Germany
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Alan Brelsford
- Department of Evolution, Ecology and Organismal Biology, University of California Riverside, Riverside, CA, 92521, USA
| | - Bridgett M vonHoldt
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Alexander N G Kirschel
- Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia, 1678, Cyprus.
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88
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Yu XQ. [Current status and prospects of genetic research on IgA nephropathy]. Zhonghua Yi Xue Za Zhi 2024; 104:1351-1355. [PMID: 38644282 DOI: 10.3760/cma.j.cn112137-20231122-01155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
IgA nephropathy is the most common primary glomerulonephritis worldwide, and genetic factors may play an important role in its pathogenesis. Following candidate gene association analysis and genome-wide linkage study, genome-wide association studies (GWAS) have found multiple susceptibility genes related to the pathogenesis and clinical phenotype of IgA nephropathy. Meanwhile, structural variation and epigenetic changes are also closely related to IgA nephropathy. Genetic variants have been found to explain about 11% of its heritability. In the current era of genomic medicine, how to find more susceptible genes/loci, whole genome sequencing studies (WGS) provide clues to further understand the genetic variation of IgA nephropathy. How to find the cell type-specific susceptibility genes associated with IgA nephropathy, multi-omics studies will conduct comprehensive analysis via single-cell sequencing, expression quantitative trait locus (eQTL) and genomics to find the pathogenic genes and offer insights into the development of targeted drugs, which will be the trend and direction of future research.
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Affiliation(s)
- X Q Yu
- Department of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
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89
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Shah SH, Gerszten RE. Sifting for Gold in Terabytes of Data: Illuminating Cardiovascular Biology in the 'Omics Age. Circulation 2024; 149:1323-1325. [PMID: 38648274 DOI: 10.1161/circulationaha.123.066988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Affiliation(s)
- Svati H Shah
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, and Duke Center for Precision Health, Duke University School of Medicine, Durham, NC (S.H.S.)
| | - Robert E Gerszten
- Broad Institute of Harvard and MIT, Cambridge, MA (R.E.G.)
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (R.E.G.)
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90
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Haider SA, Jamal Z, Tahir F, Salman M, Umair M. Genomic characterization of human respiratory syncytial virus circulating in Islamabad, Pakistan, during an outbreak in 2022-2023. Arch Virol 2024; 169:106. [PMID: 38644429 DOI: 10.1007/s00705-024-06036-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/26/2024] [Indexed: 04/23/2024]
Abstract
In this study, conducted at the National Institute of Health, Islamabad, during an outbreak of human respiratory syncytial virus (hRSV) from December 2022 to January 2023, the first whole-genome sequences of hRSV isolates from Islamabad, Pakistan, were determined. Out of 10 positive samples, five were sequenced, revealing the presence of two genotypes: RSV-A (GA2.3.5, ON1 strain) and RSV-B (GB5.0.5.a, BA-10 strain). A rare non-synonymous substitution (E232G) in G the protein and N276S in the F protein were found in RSV-A. In RSV-B, the unique mutations K191R, Q209R, and I206M were found in the F protein. These mutations could potentially influence vaccine efficacy and viral pathogenicity. This research underscores the importance of genomic surveillance for understanding RSV diversity and guiding public health responses in Pakistan.
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Affiliation(s)
- Syed Adnan Haider
- Department of Virology, National Institute of Health, Park Rd, Chak Shahzad, Islamabad, 45500, Pakistan
| | - Zunera Jamal
- Department of Virology, National Institute of Health, Park Rd, Chak Shahzad, Islamabad, 45500, Pakistan
| | - Faheem Tahir
- Department of Virology, National Institute of Health, Park Rd, Chak Shahzad, Islamabad, 45500, Pakistan
| | - Muhammad Salman
- Department of Virology, National Institute of Health, Park Rd, Chak Shahzad, Islamabad, 45500, Pakistan
| | - Massab Umair
- Department of Virology, National Institute of Health, Park Rd, Chak Shahzad, Islamabad, 45500, Pakistan.
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91
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Sánchez-Luquez KY, Carpena MX, Karam SM, Martins-Silva T, Barros FC, de Oliveira IO, Santos IS, Barros AJD, Matijasevich A, Tovo-Rodrigues L. Evaluation of genomic factors and early childhood stimulation on intelligence in children from a Brazilian birth cohort: The primary role of independent factors. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110932. [PMID: 38169242 DOI: 10.1016/j.pnpbp.2023.110932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 12/19/2023] [Accepted: 12/27/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Childhood cognitive abilities are a predictor of health outcomes and adult income potential. Identifying factors associated with childhood intelligence and their interactions is essential in behavioral research. We assessed the impact of genetic variants and early child stimulation (ECS) on child intelligence and examined their possible interaction as potential modifiers of IQ in a population-based longitudinal study. METHODS Participants of the 2004 Pelotas Birth Cohort study (N = 4231) underwent intelligent quotient (IQ) by WISC-III assessment at 6 years of age. At 24 and 48-months, mothers answered five ECS marker questions, whose sum was used to create a score. The polygenic score for intelligence (IQ-PGS) was constructed from the GWAS-weighted estimate of cognition. Association was assessed using multiple linear regression models adjusted for maternal, family, and child confounding variables. To explore the possible influence of skin color and ethnoracial classification, the regression models were stratified according to the skin color variable, as a sensitivity analysis. RESULTS In the adjusted analysis, IQ-PGS (β = 0.79, 95% confidence interval [95% CI] 0.26;1.31) as well as ECS (β = 2.34; 95% CI: 1.76;2.92) were associated with IQ in this sample. The association between IQ-PGS and IQ was significant only in the white Brazilian group in the sensitivity analysis. However, there was no interaction between IQ-PGS and ECS on IQ (p(IQ-PGS x ECS) = 0.46). CONCLUSIONS ECS did not modify the impact of genetic potential on intellectual development during childhood, suggesting that genetic factors and ECS exert independent effects on the IQ levels of children.
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Affiliation(s)
| | - Marina Xavier Carpena
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Human Development and Violence Research Centre (DOVE), Federal University of Pelotas, Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Simone M Karam
- Department of Pediatrics, Medicine Faculty, Federal University of Rio Grande, Rio Grande, Brazil
| | - Thais Martins-Silva
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Human Development and Violence Research Centre (DOVE), Federal University of Pelotas, Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Fernando C Barros
- Post Graduate Program in Health in the Vital Cycle, Catholic University of Pelotas, Pelotas, Brazil
| | - Isabel O de Oliveira
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Iná S Santos
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Aluísio J D Barros
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Alicia Matijasevich
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brasil
| | - Luciana Tovo-Rodrigues
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil; Human Development and Violence Research Centre (DOVE), Federal University of Pelotas, Postgraduate Program in Epidemiology, Pelotas, Brazil.
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92
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Liu J, Zheng C, Duan Y. New comparative genomic evidence supporting the proteomic diversification role of A-to-I RNA editing in insects. Mol Genet Genomics 2024; 299:46. [PMID: 38642133 DOI: 10.1007/s00438-024-02141-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/29/2023] [Indexed: 04/22/2024]
Abstract
Adenosine-to-inosine (A-to-I) RNA editing, resembling A-to-G mutation, confers adaptiveness by increasing proteomic diversity in a temporal-spatial manner. This evolutionary theory named "proteomic diversifying hypothesis" has only partially been tested in very few organisms like Drosophila melanogaster, mainly by observing the positive selection on nonsynonymous editing events. To find additional genome-wide evidences supporting this interesting assumption, we retrieved the genomes of four Drosophila species and collected 20 deep-sequenced transcriptomes of different developmental stages and neuron populations of D. melanogaster. We systematically profiled the RNA editomes in these samples and performed meticulous comparative genomic analyses. Further evidences were found to support the diversifying hypothesis. (1) None of the nonsynonymous editing sites in D. melanogaster had ancestral G-alleles, while the silent editing sites had an unignorable fraction of ancestral G-alleles; (2) Only very few nonsynonymous editing sites in D. melanogaster had corresponding G-alleles derived in the genomes of sibling species, and the fraction of such situation was significantly lower than that of silent editing sites; (3) The few nonsynonymous editing with corresponding G-alleles had significantly more variable editing levels (across samples) than other nonsynonymous editing sites in D. melanogaster. The proteomic diversifying nature of RNA editing in Drosophila excludes the restorative role which favors an ancestral G-allele. The few fixed G-alleles in sibling species might facilitate the adaptation to particular environment and the corresponding nonsynonymous editing in D. melanogaster would introduce stronger advantage of flexible proteomic diversification. With multi-Omics data, our study consolidates the nature of evolutionary significance of A-to-I RNA editing sites in model insects.
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Affiliation(s)
- Jiyao Liu
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Caiqing Zheng
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Yuange Duan
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
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93
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Mansoor MH, Lu X, Woksepp H, Sattar A, Humak F, Ali J, Li R, Bonnedahl J, Mohsin M. Detection and genomic characterization of Klebsiella pneumoniae and Escherichia coli harboring tet(X4) in black kites (Milvus migrans) in Pakistan. Sci Rep 2024; 14:9054. [PMID: 38643223 PMCID: PMC11032342 DOI: 10.1038/s41598-024-59201-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/08/2024] [Indexed: 04/22/2024] Open
Abstract
The emergence of plasmid-mediated tigecycline resistance gene tet(X4) among clinically relevant bacteria has promoted significant concerns, as tigecycline is considered a last-resort drug against serious infections caused by multidrug-resistant bacteria. We herein focused on the isolation and molecular characterization of tet(X4)-positive Klebsiella pneumoniae (K. pneumoniae) and Escherichia coli (E. coli) in wild bird populations with anthropogenic interaction in Faisalabad, Pakistan. A total of 150 birds including black kites (Milvus migrans) and house crows (Corvus splendens) were screened for the presence of tigecycline resistance K. pneumoniae and E. coli. We found two K. pneumoniae and one E. coli isolate carrying tet(X4) originating from black kites. A combination of short- and long-read sequencing strategies showed that tet(X4) was located on a broad host range IncFII plasmid family in K. pneumoniae isolates whereas on an IncFII-IncFIB hybrid plasmid in E. coli. We also found an integrative and conjugative element ICEKp2 in K. pneumoniae isolate KP8336. We demonstrate the first description of tet(X4) gene in the WHO critical-priority pathogen K. pneumoniae among wild birds. The convergence of tet(X4) and virulence associated ICEKp2 in a wild bird with known anthropogenic contact should be further investigated to evaluate the potential epidemiological implications. The potential risk of global transmission of tet(X4)-positive K. pneumoniae and E. coli warrant comprehensive evaluation and emphasizes the need for effective mitigation strategies to reduce anthropogenic-driven dissemination of AMR in the environment.
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Affiliation(s)
| | - Xiaoyu Lu
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China
| | - Hanna Woksepp
- Department of Development and Public Health, Kalmar County Hospital, 391 85, Kalmar, Sweden
- Department of Chemistry and Biomedical Sciences, Linnaeus University, 392 31, Kalmar, Sweden
| | - Amna Sattar
- Institute of Microbiology, University of Agriculture, Faisalabad, 38000, Pakistan
| | - Farwa Humak
- Institute of Microbiology, University of Agriculture, Faisalabad, 38000, Pakistan
| | - Jabir Ali
- Institute of Microbiology, University of Agriculture, Faisalabad, 38000, Pakistan
| | - Ruichao Li
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China
| | - Jonas Bonnedahl
- Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden.
- Department of Infectious Diseases, Region Kalmar County, 391 85, Kalmar, Sweden.
| | - Mashkoor Mohsin
- Institute of Microbiology, University of Agriculture, Faisalabad, 38000, Pakistan.
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94
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Liu S, Chen N. Chromosome-level genome assembly of marine diatom Skeletonema tropicum. Sci Data 2024; 11:403. [PMID: 38643276 PMCID: PMC11032307 DOI: 10.1038/s41597-024-03238-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/08/2024] [Indexed: 04/22/2024] Open
Abstract
Skeletonema tropicum is a marine diatom of the genus Skeletonema that also includes many well-known species including S. marinoi. S. tropicum is a high temperature preferring species thriving in tropical ocean regions or temperate ocean regions during summer-autumn. However, mechanisms of ecological adaptation of S. tropicum remain poorly understood due partially to the lack of a high-quality whole genome assembly. Here, we report the first high-quality chromosome-scale genome assembly for S. tropicum, using cutting-edge technologies including PacBio single molecular sequencing and high-throughput chromatin conformation capture. The assembled genome has a size of 78.78 Mb with a scaffold N50 of 3.17 Mb, anchored to 23 pseudo-chromosomes. In total, 20,613 protein-coding genes were predicted, of which 17,757 (86.14%) genes were functionally annotated. Collinearity analysis of the genomes of S. tropicum and S. marinoi revealed that these two genomes were highly homologous. This chromosome-level genome assembly of S. tropicum provides a valuable genomic platform for comparative analysis of mechanisms of ecological adaption.
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Affiliation(s)
- Shuya Liu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266200, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
| | - Nansheng Chen
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
- Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266200, China.
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
- Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia, V5A 1S6, Canada.
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95
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van Kooten JP, Dietz MV, Dubbink HJ, Verhoef C, Aerts JGJV, Madsen EVE, von der Thüsen JH. Genomic characterization and detection of potential therapeutic targets for peritoneal mesothelioma in current practice. Clin Exp Med 2024; 24:80. [PMID: 38642130 PMCID: PMC11032274 DOI: 10.1007/s10238-024-01342-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/28/2024] [Indexed: 04/22/2024]
Abstract
Peritoneal mesothelioma (PeM) is an aggressive tumor with limited treatment options. The current study aimed to evaluate the value of next generation sequencing (NGS) of PeM samples in current practice. Foundation Medicine F1CDx NGS was performed on 20 tumor samples. This platform assesses 360 commonly somatically mutated genes in solid tumors and provides a genomic signature. Based on the detected mutations, potentially effective targeted therapies were identified. NGS was successful in 19 cases. Tumor mutational burden (TMB) was low in 10 cases, and 11 cases were microsatellite stable. In the other cases, TMB and microsatellite status could not be determined. BRCA1 associated protein 1 (BAP1) mutations were found in 32% of cases, cyclin dependent kinase inhibitor 2A/B (CDKN2A/B) and neurofibromin 2 (NF2) mutations in 16%, and ataxia-telangiectasia mutated serine/threonine kinase (ATM) in 11%. Based on mutations in the latter two genes, potential targeted therapies are available for approximately a quarter of cases (i.e., protein kinase inhibitors for three NF2 mutated tumors, and polyADP-ribose polymerase inhibitors for two ATM mutated tumors). Extensive NGS analysis of PeM samples resulted in the identification of potentially effective targeted therapies for about one in four patients. Although these therapies are currently not available for patients with PeM, ongoing developments might result in new treatment options in the future.
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Affiliation(s)
- Job P van Kooten
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands
| | - Michelle V Dietz
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.
| | | | - Cornelis Verhoef
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands
| | - Joachim G J V Aerts
- Department of Pulmonary Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Eva V E Madsen
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands
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Choi Y, Lee J, Shin K, Lee JW, Kim JW, Lee S, Choi YJ, Park KH, Kim JH. Integrated clinical and genomic models using machine-learning methods to predict the efficacy of paclitaxel-based chemotherapy in patients with advanced gastric cancer. BMC Cancer 2024; 24:502. [PMID: 38643078 PMCID: PMC11031899 DOI: 10.1186/s12885-024-12268-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 04/16/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Paclitaxel is commonly used as a second-line therapy for advanced gastric cancer (AGC). The decision to proceed with second-line chemotherapy and select an appropriate regimen is critical for vulnerable patients with AGC progressing after first-line chemotherapy. However, no predictive biomarkers exist to identify patients with AGC who would benefit from paclitaxel-based chemotherapy. METHODS This study included 288 patients with AGC receiving second-line paclitaxel-based chemotherapy between 2017 and 2022 as part of the K-MASTER project, a nationwide government-funded precision medicine initiative. The data included clinical (age [young-onset vs. others], sex, histology [intestinal vs. diffuse type], prior trastuzumab use, duration of first-line chemotherapy), and genomic factors (pathogenic or likely pathogenic variants). Data were randomly divided into training and validation sets (0.8:0.2). Four machine learning (ML) methods, namely random forest (RF), logistic regression (LR), artificial neural network (ANN), and ANN with genetic embedding (ANN with GE), were used to develop the prediction model and validated in the validation sets. RESULTS The median patient age was 64 years (range 25-91), and 65.6% of those were male. A total of 288 patients were divided into the training (n = 230) and validation (n = 58) sets. No significant differences existed in baseline characteristics between the training and validation sets. In the training set, the areas under the ROC curves (AUROC) for predicting better progression-free survival (PFS) with paclitaxel-based chemotherapy were 0.499, 0.679, 0.618, and 0.732 in the RF, LR, ANN, and ANN with GE models, respectively. The ANN with the GE model that achieved the highest AUROC recorded accuracy, sensitivity, specificity, and F1-score performance of 0.458, 0.912, 0.724, and 0.579, respectively. In the validation set, the ANN with GE model predicted that paclitaxel-sensitive patients had significantly longer PFS (median PFS 7.59 vs. 2.07 months, P = 0.020) and overall survival (OS) (median OS 14.70 vs. 7.50 months, P = 0.008). The LR model predicted that paclitaxel-sensitive patients showed a trend for longer PFS (median PFS 6.48 vs. 2.33 months, P = 0.078) and OS (median OS 12.20 vs. 8.61 months, P = 0.099). CONCLUSIONS These ML models, integrated with clinical and genomic factors, offer the possibility to help identify patients with AGC who may benefit from paclitaxel chemotherapy.
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Grants
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- HR22C1302 Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
- Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea
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Affiliation(s)
- Yonghwa Choi
- Department of Computer Science and Engineering, Korea University, Seoul, Korea
- OncoMASTER Inc., Seoul, Korea
| | - Jangwoo Lee
- Institute of Human Behavior & Genetic, Korea University College of Medicine, Seoul, Korea
- Biomedical Research Center, Korea University Anam Hospital, Seoul, Korea
| | - Keewon Shin
- Biomedical Research Center, Korea University Anam Hospital, Seoul, Korea
| | - Ji Won Lee
- Division of Medical Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Ju Won Kim
- Division of Medical Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Soohyeon Lee
- Division of Medical Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Yoon Ji Choi
- Division of Medical Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Kyong Hwa Park
- Division of Medical Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Jwa Hoon Kim
- Division of Medical Oncology, Department of Internal Medicine, Korea University College of Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
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Lee SQE, Ma GL, Candra H, Khandelwal S, Pang LM, Low ZJ, Cheang QW, Liang ZX. Streptomyces sungeiensis SD3 as a Microbial Chassis for the Heterologous Production of Secondary Metabolites. ACS Synth Biol 2024; 13:1259-1272. [PMID: 38513222 DOI: 10.1021/acssynbio.3c00750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
We present the newly isolated Streptomyces sungeiensis SD3 strain as a promising microbial chassis for heterologous production of secondary metabolites. S. sungeiensis SD3 exhibits several advantageous traits as a microbial chassis, including genetic tractability, rapid growth, susceptibility to antibiotics, and metabolic capability supporting secondary metabolism. Genomic and transcriptomic sequencing unveiled the primary metabolic capabilities and secondary biosynthetic pathways of S. sungeiensis SD3, including a previously unknown pathway responsible for the biosynthesis of streptazone B1. The unique placement of S. sungeiensis SD3 in the phylogenetic tree designates it as a type strain, setting it apart from other frequently employed Streptomyces chassis. This distinction makes it the preferred chassis for expressing biosynthetic gene clusters (BGCs) derived from strains within the same phylogenetic or neighboring phylogenetic clade. The successful expression of secondary biosynthetic pathways from a closely related yet slow-growing strain underscores the utility of S. sungeiensis SD3 as a heterologous expression chassis. Validation of CRISPR/Cas9-assisted genetic tools for chromosomal deletion and insertion paved the way for further strain improvement and BGC refactoring through rational genome editing. The addition of S. sungeiensis SD3 to the heterologous chassis toolkit will facilitate the discovery and production of secondary metabolites.
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Affiliation(s)
- Sean Qiu En Lee
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Guang-Lei Ma
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Hartono Candra
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Srashti Khandelwal
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Li Mei Pang
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Zhen Jie Low
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Qing Wei Cheang
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Zhao-Xun Liang
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
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98
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Wang Y, Zhang X, Wang J, Wang C, Xiong F, Qian Y, Meng M, Zhou M, Chen W, Ding Z, Yu D, Liu Y, Chang Y, He S, Yang L. Genomic insights into the seawater adaptation in Cyprinidae. BMC Biol 2024; 22:87. [PMID: 38637780 PMCID: PMC11027309 DOI: 10.1186/s12915-024-01885-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 04/11/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Cyprinidae, the largest fish family, encompasses approximately 367 genera and 3006 species. While they exhibit remarkable adaptability to diverse aquatic environments, it is exceptionally rare to find them in seawater, with the Far Eastern daces being of few exceptions. Therefore, the Far Eastern daces serve as a valuable model for studying the genetic mechanisms underlying seawater adaptation in Cyprinidae. RESULTS Here, we sequenced the chromosome-level genomes of two Far Eastern daces (Pseudaspius brandtii and P. hakonensis), the two known cyprinid fishes found in seawater, and performed comparative genomic analyses to investigate their genetic mechanism of seawater adaptation. Demographic history reconstruction of the two species reveals that their population dynamics are correlated with the glacial-interglacial cycles and sea level changes. Genomic analyses identified Pseudaspius-specific genetic innovations related to seawater adaptation, including positively selected genes, rapidly evolving genes, and conserved non-coding elements (CNEs). Functional assays of Pseudaspius-specific variants of the prolactin (prl) gene showed enhanced cell adaptation to greater osmolarity. Functional assays of Pseudaspius specific CNEs near atg7 and usp45 genes suggest that they exhibit higher promoter activity and significantly induced at high osmolarity. CONCLUSIONS Our results reveal the genome-wide evidence for the evolutionary adaptation of cyprinid fishes to seawater, offering valuable insights into the molecular mechanisms supporting the survival of migratory fish in marine environments. These findings are significant as they contribute to our understanding of how cyprinid fishes navigate and thrive in diverse aquatic habitats, providing useful implications for the conservation and management of marine ecosystems.
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Affiliation(s)
- Ying Wang
- Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan, 430056, China.
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China.
- School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, BS81TQ, UK.
| | - Xuejing Zhang
- Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan, 430056, China
| | - Jing Wang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Cheng Wang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Xiong
- Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan, 430056, China
| | - Yuting Qian
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Minghui Meng
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Min Zhou
- Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, College of Life Sciences, Jianghan University, Wuhan, 430056, China
| | - Wenjun Chen
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zufa Ding
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Dan Yu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yumei Chang
- National and Local Joint Engineering Laboratory for Freshwater Fish Breeding, Heilongjiang Province's Key Laboratory of Fish Stress Resistance Breeding and Germplasm Characteristics On Special Habitats, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, 150070, Heilongjiang, China
| | - Shunping He
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China.
| | - Liandong Yang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China.
- School of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol, BS81TQ, UK.
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99
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Hamrick GS, Maddamsetti R, Son HI, Wilson ML, Davis HM, You L. Programming Dynamic Division of Labor Using Horizontal Gene Transfer. ACS Synth Biol 2024; 13:1142-1151. [PMID: 38568420 DOI: 10.1021/acssynbio.3c00615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
The metabolic engineering of microbes has broad applications, including biomanufacturing, bioprocessing, and environmental remediation. The introduction of a complex, multistep pathway often imposes a substantial metabolic burden on the host cell, restraining the accumulation of productive biomass and limiting pathway efficiency. One strategy to alleviate metabolic burden is the division of labor (DOL) in which different subpopulations carry out different parts of the pathway and work together to convert a substrate into a final product. However, the maintenance of different engineered subpopulations is challenging due to competition and convoluted interstrain population dynamics. Through modeling, we show that dynamic division of labor (DDOL), which we define as the DOL between indiscrete populations capable of dynamic and reversible interchange, can overcome these limitations and enable the robust maintenance of burdensome, multistep pathways. We propose that DDOL can be mediated by horizontal gene transfer (HGT) and use plasmid genomics to uncover evidence that DDOL is a strategy utilized by natural microbial communities. Our work suggests that bioengineers can harness HGT to stabilize synthetic metabolic pathways in microbial communities, enabling the development of robust engineered systems for deployment in a variety of contexts.
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Affiliation(s)
- Grayson S Hamrick
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
- Center for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States
- Center for Biomolecular and Tissue Engineering, Duke University, Durham, North Carolina 27708, United States
| | - Rohan Maddamsetti
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
- Center for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States
| | - Hye-In Son
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
- Center for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States
| | - Maggie L Wilson
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
- Center for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States
| | - Harris M Davis
- Center for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States
| | - Lingchong You
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
- Center for Quantitative Biodesign, Duke University, Durham, North Carolina 27708, United States
- Center for Biomolecular and Tissue Engineering, Duke University, Durham, North Carolina 27708, United States
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina 27708, United States
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100
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Monzón S, Varona S, Negredo A, Vidal-Freire S, Patiño-Galindo JA, Ferressini-Gerpe N, Zaballos A, Orviz E, Ayerdi O, Muñoz-Gómez A, Delgado-Iribarren A, Estrada V, García C, Molero F, Sánchez-Mora P, Torres M, Vázquez A, Galán JC, Torres I, Causse Del Río M, Merino-Diaz L, López M, Galar A, Cardeñoso L, Gutiérrez A, Loras C, Escribano I, Alvarez-Argüelles ME, Del Río L, Simón M, Meléndez MA, Camacho J, Herrero L, Jiménez P, Navarro-Rico ML, Jado I, Giannetti E, Kuhn JH, Sanchez-Lockhart M, Di Paola N, Kugelman JR, Guerra S, García-Sastre A, Cuesta I, Sánchez-Seco MP, Palacios G. Monkeypox virus genomic accordion strategies. Nat Commun 2024; 15:3059. [PMID: 38637500 PMCID: PMC11026394 DOI: 10.1038/s41467-024-46949-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 03/14/2024] [Indexed: 04/20/2024] Open
Abstract
The 2023 monkeypox (mpox) epidemic was caused by a subclade IIb descendant of a monkeypox virus (MPXV) lineage traced back to Nigeria in 1971. Person-to-person transmission appears higher than for clade I or subclade IIa MPXV, possibly caused by genomic changes in subclade IIb MPXV. Key genomic changes could occur in the genome's low-complexity regions (LCRs), which are challenging to sequence and are often dismissed as uninformative. Here, using a combination of highly sensitive techniques, we determine a high-quality MPXV genome sequence of a representative of the current epidemic with LCRs resolved at unprecedented accuracy. This reveals significant variation in short tandem repeats within LCRs. We demonstrate that LCR entropy in the MPXV genome is significantly higher than that of single-nucleotide polymorphisms (SNPs) and that LCRs are not randomly distributed. In silico analyses indicate that expression, translation, stability, or function of MPXV orthologous poxvirus genes (OPGs), including OPG153, OPG204, and OPG208, could be affected in a manner consistent with the established "genomic accordion" evolutionary strategies of orthopoxviruses. We posit that genomic studies focusing on phenotypic MPXV differences should consider LCR variability.
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Affiliation(s)
- Sara Monzón
- Unidad de Bioinformática, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Sarai Varona
- Unidad de Bioinformática, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Escuela Internacional de Doctorado de la UNED (EIDUNED), Universidad Nacional de Educación a Distancia (UNED), 2832, Madrid, Spain
| | - Anabel Negredo
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Santiago Vidal-Freire
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | | | | | - Angel Zaballos
- Unidad de Genómica, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Eva Orviz
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Oskar Ayerdi
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Ana Muñoz-Gómez
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | | | - Vicente Estrada
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Cristina García
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Francisca Molero
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Patricia Sánchez-Mora
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Montserrat Torres
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Ana Vázquez
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Juan-Carlos Galán
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034, Madrid, Spain
| | - Ignacio Torres
- Servicio de Microbiología, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, 46010, Valencia, Spain
| | - Manuel Causse Del Río
- Unidad de Microbiología, Hospital Universitario Reina Sofía, Instituto Maimónides de Investigación Biomédica de Córdoba, 14004, Córdoba, Spain
| | - Laura Merino-Diaz
- Unidad Clínico de Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013, Sevilla, Spain
| | - Marcos López
- Servicio de Microbiología y Parasitología, Hospital Universitario Puerta de Hierro Majadahonda, 28222, Madrid, Spain
| | - Alicia Galar
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, 28007, Madrid, Spain
| | - Laura Cardeñoso
- Servicio de Microbiología, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, 28006, Madrid, Spain
| | - Almudena Gutiérrez
- Servicio de Microbiología y Parasitología Clínica, Hospital Universitario La Paz, 28046, Madrid, Spain
| | - Cristina Loras
- Servicio de Microbiología, Hospital General y Universitario, 13005, Ciudad Real, Spain
| | - Isabel Escribano
- Servicio de Microbiología, Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain
| | | | | | - María Simón
- Servicio de Microbiología, Hospital Central de la Defensa "Gómez Ulla", 28947, Madrid, Spain
| | - María Angeles Meléndez
- Servicio de Microbiología y Parasitología, Hospital Universitario 12 de Octubre, 28041, Madrid, Spain
| | - Juan Camacho
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Laura Herrero
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Pilar Jiménez
- Unidad de Genómica, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - María Luisa Navarro-Rico
- Unidad de Genómica, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Isabel Jado
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Elaina Giannetti
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jens H Kuhn
- Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, 21702, USA
| | - Mariano Sanchez-Lockhart
- United States Army Research Institute for Infectious Disease, Fort Detrick, Frederick, MD, 21702, USA
| | - Nicholas Di Paola
- United States Army Research Institute for Infectious Disease, Fort Detrick, Frederick, MD, 21702, USA
| | - Jeffrey R Kugelman
- United States Army Research Institute for Infectious Disease, Fort Detrick, Frederick, MD, 21702, USA
| | - Susana Guerra
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departmento de Medicina Preventiva, Salud Publica y Microbiología, Universidad Autónoma de Madrid, 28029, Madrid, Spain
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Isabel Cuesta
- Unidad de Bioinformática, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Maripaz P Sánchez-Seco
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Gustavo Palacios
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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