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Chen P, Tan X, Lao M, Wu X, Zhao X, Zhou S, Yu J, Zhu J, Yu L, Tong W, Gao F, Yu H, Liu C, Jiang Y, Tong G, Zhou Y. The Novel PRRSV Strain HBap4-2018 with a Unique Recombinant Pattern Is Highly Pathogenic to Piglets. Virol Sin 2021. [PMID: 34635987 DOI: 10.1007/s12250-021-00453-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/18/2021] [Indexed: 01/30/2023] Open
Abstract
Currently, various porcine reproductive and respiratory syndrome virus (PRRSV) variants emerged worldwide with different genetic characteristics and pathogenicity, increasing the difficulty of PRRS control. In this study, a PRRSV strain named HBap4-2018 was isolated from swine herds suffering severe respiratory disease with high morbidity in Hebei Province of China in 2018. The genome of HBap4-2018 is 15,003 nucleotides in length, and compared with NADC30-like PRRSV, nsp2 of HBap4-2018 has an additional continuous deletion of five amino acids. Phylogenetic analysis based on complete genome and ORF5 showed that HBap4-2018 belonged to lineage 8 of PRRSV-2, which was characterized by highly variable genome. However, HBap4-2018 was classified into lineage 1 based on phylogenetic analysis of nsp2, sharing higher amino acid homology (85.3%-85.5%) with NADC30-like PRRSV. Further analysis suggested that HBap4-2018 was a novel natural recombinant PRRSV with three recombinant fragments in the genome, of which highly pathogenic PRRSV (HP-PRRSV) served as the major parental strains, while NADC30-like PRRSV served as the minor parental strains. Five recombination break points were identified in nsp2, nsp3, nsp5, nsp9 and ORF6, respectively, presenting a novel recombinant pattern in the genome. Piglets inoculated with HBap4-2018 presented typical clinical signs with a mortality rate of 60%. High levels of viremia and obvious macroscopic and histopathological lesions in the lungs were observed, revealing the high pathogenicity of HBap4-2018 in piglets.
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202
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Rothmann-Meyer W, Naidoo K, de Waal PJ. Comparative mitogenomics of Spirocerca lupi from South Africa and China: Variation and possible heteroplasmy. Vet Parasitol 2021; 300:109595. [PMID: 34678674 DOI: 10.1016/j.vetpar.2021.109595] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 11/21/2022]
Abstract
The complete mitochondrial genome of Spirocerca lupi isolated from a dog in South Africa was sequenced using next generation sequencing (NGS) technology and the 12 protein coding genes along with the two rRNA genes were compared to 18 other nematode species as well as S. lupi from China. The mitochondrial genome of S. lupi South Africa had a mean genetic diversity of 6.1 % compared to S. lupi China with some variation in nucleotide composition, gene positioning and size. Pairwise distance results indicated slightly higher variation when compared to the pairwise distances of other closely related species, however, this variation was not high enough for it to be considered a cryptic species. Phylogenetic analysis indicated that S. lupi from the two continents are very similar. In addition, single nucleotide polymorphisms were detected in the nad2 gene with ten sequence variants identified from 10 clones from a single nematode, suggesting possible heteroplasmy. The origin of the heteroplasmy is currently unknown but it is speculated to have arisen from accumulated mutations in the mitochondria during somatic replication.
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203
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Alemayehu GS, Messele A, Blackburn K, Lopez K, Lo E, Janies D, Golassa L. Genetic variation of Plasmodium falciparum histidine-rich protein 2 and 3 in Assosa zone, Ethiopia: its impact on the performance of malaria rapid diagnostic tests. Malar J 2021; 20:394. [PMID: 34627242 PMCID: PMC8502267 DOI: 10.1186/s12936-021-03928-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/26/2021] [Indexed: 11/21/2022] Open
Abstract
Background Rapid diagnostic tests (RDT) are commonly used for the diagnosis of malaria caused by Plasmodium falciparum. However, false negative results of RDT caused by genetic variation of P. falciparum histidine-rich protein 2 and 3 genes (pfhrp2/3) threaten existing malaria case management and control efforts. The main objective of this study was to investigate the genetic variations of the pfhrp2/3 genes. Methods A cross-sectional study was conducted from malaria symptomatic individuals in 2018 in Assosa zone, Ethiopia. Finger-prick blood samples were collected for RDT and microscopic examination of thick and thin blood films. Dried blood spots (DBS) were used for genomic parasite DNA extraction and molecular detection. Amplification of parasite DNA was made by quantitative PCR. DNA amplicons of pfhrp2/3 were purified and sequenced. Results The PfHRP2 amino acid repeat type isolates were less conserved compared to the PfHRP3 repeat type. Eleven and eight previously characterized PfHRP2 and PfHRP3 amino acid repeat types were identified, respectively. Type 1, 4 and 7 repeats were shared by PfHRP2 and PfHRP3 proteins. Type 2 repeats were found only in PfHRP2, while types 16 and 17 were found only in PfHRP3 with a high frequency in all isolates. 18 novel repeat types were found in PfHRP2 and 13 novel repeat types were found in PfHRP3 in single or multiple copies per isolate. The positivity rate for PfHRP2 RDT was high, 82.9% in PfHRP2 and 84.3% in PfHRP3 sequence isolates at parasitaemia levels > 250 parasites/µl. Using the Baker model, 100% of the isolates in group A (If product of types 2 × type 7 repeats ≥ 100) and 73.7% of the isolates in group B (If product of types 2 × type 7 repeats 50–99) were predicted to be detected by PfHRP2 RDT at parasitaemia level > 250 parasite/μl. Conclusion The findings of this study indicate the presence of different PfHRP2 and PfHRP3 amino acid repeat including novel repeats in P. falciparum from Ethiopia. These results indicate that there is a need to closely monitor the performance of PfHRP2 RDT associated with the genetic variation of the pfhrp2 and pfhrp3 gene in P. falciparum isolates at the country-wide level. Supplementary Information The online version contains supplementary material available at 10.1186/s12936-021-03928-3.
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Affiliation(s)
| | - Alebachew Messele
- Addis Ababa University, Aklilu Lemma Institute of Pathobiology, Addis Ababa, Ethiopia
| | - Kayla Blackburn
- Departments of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Karen Lopez
- Departments of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Eugenia Lo
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.,School of Data Sciences, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Daniel Janies
- Departments of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Lemu Golassa
- Addis Ababa University, Aklilu Lemma Institute of Pathobiology, Addis Ababa, Ethiopia
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204
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Dey S, Udari LM, RiveraHernandez P, Kwon JJ, Willis B, Easler JJ, Fogel EL, Pandol S, Kota J. Loss of miR-29a/b1 promotes inflammation and fibrosis in acute pancreatitis. JCI Insight 2021; 6:e149539. [PMID: 34464354 PMCID: PMC8525644 DOI: 10.1172/jci.insight.149539] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/25/2021] [Indexed: 12/15/2022] Open
Abstract
MicroRNA-29 (miR-29) is a critical regulator of fibroinflammatory processes in human diseases. In this study, we found a decrease in miR-29a in experimental and human chronic pancreatitis, leading us to investigate the regulatory role of the miR-29a/b1 cluster in acute pancreatitis (AP) utilizing a conditional miR-29a/b1-KO mouse model. miR-29a/b1-sufficient (WT) and -deficient (KO) mice were administered supramaximal caerulein to induce AP and characterized at different time points, utilizing an array of IHC and biochemical analyses for AP parameters. In caerulein-induced WT mice, miR-29a remained dramatically downregulated at injury. Despite high-inflammatory milieu, fibrosis, and parenchymal disarray in the WT mice during early AP, the pancreata fully restored during recovery. miR-29a/b1-KO mice showed significantly greater inflammation, lymphocyte infiltration, macrophage polarization, and ECM deposition, continuing until late recovery with persistent parenchymal disorganization. The increased pancreatic fibrosis was accompanied by enhanced TGFβ1 coupled with persistent αSMA+ PSC activation. Additionally, these mice exhibited higher circulating IL-6 and inflammation in lung parenchyma. Together, this collection of studies indicates that depletion of miR-29a/b1 cluster impacts the fibroinflammatory mechanisms of AP, resulting in (a) aggravated pathogenesis and (b) delayed recovery from the disease, suggesting a protective role of the molecule against AP.
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Affiliation(s)
- Shatovisha Dey
- Department of Medical and Molecular Genetics, Indiana University (IU) School of Medicine, Indianapolis, Indiana, USA
| | - Lata M Udari
- Department of Medical and Molecular Genetics, Indiana University (IU) School of Medicine, Indianapolis, Indiana, USA
| | - Primavera RiveraHernandez
- Department of Medical and Molecular Genetics, Indiana University (IU) School of Medicine, Indianapolis, Indiana, USA
| | - Jason J Kwon
- Department of Medical and Molecular Genetics, Indiana University (IU) School of Medicine, Indianapolis, Indiana, USA
| | | | - Jeffrey J Easler
- Department of Medicine, Division of Gastroenterology/Hepatology, IU Health, IU School of Medicine, Indianapolis, Indiana, USA.,The Melvin and Bren Simon Cancer Center, IUSM, Indianapolis, Indiana, USA
| | - Evan L Fogel
- Department of Medicine, Division of Gastroenterology/Hepatology, IU Health, IU School of Medicine, Indianapolis, Indiana, USA.,The Melvin and Bren Simon Cancer Center, IUSM, Indianapolis, Indiana, USA
| | - Stephen Pandol
- Department of Medicine, Cedar-Sinai Medical Center, Los Angeles, California, USA
| | - Janaiah Kota
- Department of Medical and Molecular Genetics, Indiana University (IU) School of Medicine, Indianapolis, Indiana, USA.,The Melvin and Bren Simon Cancer Center, IUSM, Indianapolis, Indiana, USA
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205
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Zheng Y, Xu Q, Lai W. Novel Point Mutation of EBSS Gene Coexisted with 1p36 Deletion. Ann Dermatol 2021; 33:463-466. [PMID: 34616129 PMCID: PMC8460473 DOI: 10.5021/ad.2021.33.5.463] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 03/03/2020] [Accepted: 05/25/2020] [Indexed: 11/08/2022] Open
Abstract
EBSS (epidermolysis bullosa simplex superficialis) is mainly caused by gene mutations which targeted protein as plakophilin1, desmoplakin and keratins. 1p36 gene deleted could cause typical clinical manifestations and might also affect the expression of functional genes in other regions. Here we reported the first case of PKP1 gene and DSP gene mutation coexisted with 1p36 deletion presented as serious EBSS and 1p36 deletion syndromes and identified a new homozygous mutation in the PKP1 gene (chr1:201292246 c.1672 T>C) and in the DSP gene (chr6:7580346 c.3923C>T).
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Affiliation(s)
- Yue Zheng
- Department of Dermato-Venereology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China
| | - Qingfang Xu
- Department of Dermato-Venereology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China
| | - Wei Lai
- Department of Dermato-Venereology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P. R. China
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206
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Mkorombindo T, Tran-Nguyen TK, Yuan K, Zhang Y, Xue J, Criner GJ, Kim YI, Pilewski JM, Gaggar A, Cho MH, Sciurba FC, Duncan SR. HLA-C and KIR permutations influence chronic obstructive pulmonary disease risk. JCI Insight 2021; 6:e150187. [PMID: 34464355 PMCID: PMC8525585 DOI: 10.1172/jci.insight.150187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 08/26/2021] [Indexed: 01/04/2023] Open
Abstract
A role for hereditary influences in the susceptibility for chronic obstructive pulmonary disease (COPD) is widely recognized. Cytotoxic lymphocytes are implicated in COPD pathogenesis, and functions of these leukocytes are modulated by interactions between their killer cell Ig-like receptors (KIR) and human leukocyte antigen–Class I (HLA–Class I) molecules on target cells. We hypothesized HLA–Class I and KIR inheritance affect risks for COPD. HLA–Class I alleles and KIR genotypes were defined by candidate gene analyses in multiple cohorts of patients with COPD (total n = 392) and control smokers with normal spirometry (total n = 342). Compared with controls, patients with COPD had overrepresentations of HLA-C*07 and activating KIR2DS1, with underrepresentations of HLA-C*12. Particular HLA-KIR permutations were synergistic; e.g., the presence of HLA-C*07 + KIR2DS1 + HLA-C12null versus HLAC*07null + KIR2DS1null + HLA-C12 was associated with COPD, especially among HLA-C1 allotype homozygotes. Cytotoxicity of COPD lymphocytes was more enhanced by KIR stimulation than those of controls and was correlated with lung function. These data show HLA-C and KIR polymorphisms strongly influence COPD susceptibility and highlight the importance of lymphocyte-mediated cytotoxicity in COPD pathogenesis. Findings here also indicate that HLA-KIR typing could stratify at-risk patients and raise possibilities that HLA-KIR axis modulation may have therapeutic potential.
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Affiliation(s)
- Takudzwa Mkorombindo
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Thi K Tran-Nguyen
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kaiyu Yuan
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jianmin Xue
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Gerard J Criner
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA
| | - Young-Il Kim
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Joseph M Pilewski
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Amit Gaggar
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Michael H Cho
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Frank C Sciurba
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Steven R Duncan
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
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207
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Leveille E, Ross OA, Gan-Or Z. Tau and MAPT genetics in tauopathies and synucleinopathies. Parkinsonism Relat Disord 2021; 90:142-154. [PMID: 34593302 DOI: 10.1016/j.parkreldis.2021.09.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/25/2021] [Accepted: 09/09/2021] [Indexed: 10/20/2022]
Abstract
MAPT encodes the microtubule-associated protein tau, which is the main component of neurofibrillary tangles (NFTs) and found in other protein aggregates. These aggregates are among the pathological hallmarks of primary tauopathies such as frontotemporal dementia (FTD). Abnormal tau can also be observed in secondary tauopathies such as Alzheimer's disease (AD) and synucleinopathies such as Parkinson's disease (PD). On top of pathological findings, genetic data also links MAPT to these disorders. MAPT variations are a cause or risk factors for many tauopathies and synucleinopathies and are associated with certain clinical and pathological features in affected individuals. In addition to clinical, pathological, and genetic overlap, evidence also suggests that tau and alpha-synuclein may interact on the molecular level, and thus might collaborate in the neurodegenerative process. Understanding the role of MAPT variations in tauopathies and synucleinopathies is therefore essential to elucidate the role of tau in the pathogenesis and phenotype of those disorders, and ultimately to develop targeted therapies. In this review, we describe the role of MAPT genetic variations in tauopathies and synucleinopathies, several genotype-phenotype and pathological features, and discuss their implications for the classification and treatment of those disorders.
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Affiliation(s)
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA; Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Ziv Gan-Or
- The Neuro (Montreal Neurological Institute-hospital), McGill University, Montréal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada; Department of Human Genetics, McGill University, Montréal, QC, Canada.
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208
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Nakanishi T, Pigazzini S, Degenhardt F, Cordioli M, Butler-Laporte G, Maya-Miles D, Bujanda L, Bouysran Y, Niemi ME, Palom A, Ellinghaus D, Khan A, Martínez-Bueno M, Rolker S, Amitrano S, Roade Tato L, Fava F, Spinner CD, Prati D, Bernardo D, Garcia F, Darcis G, Fernandez-Cadenas I, Holter JC, Banales JM, Frithiof R, Kiryluk K, Duga S, Asselta R, Pereira AC, Romero-Gómez M, Nafría-Jiménez B, Hov JR, Migeotte I, Renieri A, Planas AM, Ludwig KU, Buti M, Rahmouni S, Alarcón-Riquelme ME, Schulte EC, Franke A, Karlsen TH, Valenti L, Zeberg H, Richards JB, Ganna A. Age-dependent impact of the major common genetic risk factor for COVID-19 on severity and mortality. J Clin Invest 2021; 131:152386. [PMID: 34597274 DOI: 10.1172/jci152386] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/28/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND There is considerable variability in COVID-19 outcomes amongst younger adults-and some of this variation may be due to genetic predisposition. METHODS We combined individual level data from 13,888 COVID-19 patients (N=7,185 hospitalized) from 17 cohorts in nine countries to assess the association of the major common COVID-19 genetic risk factor (chromosome 3 locus tagged by rs10490770) with mortality, COVID-19-related complications and laboratory values. We next performed meta-analyses using FinnGen and the Columbia University COVID-19 Biobank. RESULTS We found that rs10490770 risk allele carriers experienced an increased risk of all-cause mortality (HR 1.4, 95%CI 1.2-1.7). Risk allele carriers had increased odds of several COVID-19 complications: severe respiratory failure (OR 2.1, 95%CI 1.6-2.6), venous thromboembolism (OR 1.7, 95%CI 1.2-2.4), and hepatic injury (OR 1.5, 95%CI 1.2-2.0). Risk allele carriers ≤60 years had higher odds of death or severe respiratory failure (OR 2.7, 95%CI 1.8-3.9) compared to those >60 years (OR 1.5, 95%CI 1.2-1.8, interaction-p=0.038). Amongst individuals ≤60 years who died or experienced severe respiratory failure, 32.3% were risk variant carriers, compared to 13.9% of those not experiencing these outcomes. The genetic risk improved the prediction of death or severe respiratory failure similarly to, or better than, most established clinical risk factors. CONCLUSIONS The major common COVID-19 genetic risk factor is associated with increased risks of morbidity and mortality, which are more pronounced amongst individuals ≤60 years. The effect was similar in magnitude and more common than most established clinical risk factors, suggesting potential implications for future clinical risk management.
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Affiliation(s)
- Tomoko Nakanishi
- Department of Human Genetics, McGill University, Montreal, Canada
| | - Sara Pigazzini
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Frauke Degenhardt
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Mattia Cordioli
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Guillaume Butler-Laporte
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | | | - Luis Bujanda
- Department of Liver and Gastrointestinal Diseases, Donostia University Hospital, University of Basque Country, San Sebastian, Spain
| | - Youssef Bouysran
- Centre de Génétique Humaine, Hôpital Erasme-Université Libre de Bruxelles, Brussels, Belgium
| | - Mari Ek Niemi
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Adriana Palom
- Department of Internal Medicine, Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - David Ellinghaus
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Atlas Khan
- Department of Medicine, Columbia University, New York, United States of America
| | | | - Selina Rolker
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Sara Amitrano
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Luisa Roade Tato
- Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digest, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Christoph D Spinner
- Department of Internal Medicine II, University Hospital rechts der Isar, Munich, Germany
| | - Daniele Prati
- Department of Transfusion Medicine and Hematology, Università degli Studi di Milano, Milano, Italy
| | - David Bernardo
- Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digest, Instituto de Salud Carlos III, Madrid, Spain
| | - Federico Garcia
- Department of Pathology, Hospital Virgen del Camino, Pamplona, Spain
| | - Gilles Darcis
- Infectious Diseases Department, Liège University Hospital, Liège, Belgium
| | - Israel Fernandez-Cadenas
- Stroke Pharmacogenomics and Genetics Group, Biomedical Research Institute Sant Pau, Barcelona, Spain
| | - Jan Cato Holter
- Department of Microbiology, Oslo University Hospital, Oslo, Norway
| | - Jesus M Banales
- Department of Biochemistry and Genetics, University of Navarra, Pamplona, Spain
| | - Robert Frithiof
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Krzysztof Kiryluk
- Department of Medicine, Columbia University, New York, United States of America
| | - Stefano Duga
- Department of Medical Biotechnologies and Translational Medicine, University of Milan, Milan, Italy
| | - Rosanna Asselta
- Department of Medical Biotechnologies and Translational Medicine, University of Milan, Milan, Italy
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, University of São Paulo Medical School, São Paulo, Brazil
| | | | | | - Johannes R Hov
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Isabelle Migeotte
- Centre de Génétique Humaine, Hôpital Erasme-Université Libre de Bruxelles, Brussels, Belgium
| | - Alessandra Renieri
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Anna M Planas
- Department of Brain Ischemia and Neurodegeneration, Institute for Biomedical Research of Barcelona, Barcelona, Spain
| | | | - Maria Buti
- Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digest, Instituto de Salud Carlos III, Madrid, Spain
| | - Souad Rahmouni
- GIGA-R, Laboratory of Immunology and Infectious Diseases, University of Liège, Liège, Belgium
| | | | - Eva C Schulte
- Institute of Virology, Technical University Munich/Helmholtz Zentrum, Munich, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Tom H Karlsen
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Hugo Zeberg
- Department of Neuroscience, Karolinska Institutet, Solna, Sweden
| | | | - Andrea Ganna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
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209
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Lee S, Choi CH, Yun MR, Kim DW, Kim SS, Choi YK, Choi YS. Evaluation of global evolutionary variations in the early stage of SARS-CoV-2 pandemic. Heliyon 2021; 7:e08170. [PMID: 34660919 PMCID: PMC8511646 DOI: 10.1016/j.heliyon.2021.e08170] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 01/16/2021] [Accepted: 10/08/2021] [Indexed: 11/13/2022] Open
Abstract
To understand the origin of variants and their evolutionary history in the early stage of the COVID-19 pandemic, time-scaled phylogenetic and gene variation analyses were performed. The mutation patterns and evolution characteristics were examined using the Bayesian Evolutionary Analysis Sampling Trees (BEAST) with 349 whole-genome sequences available by March 2020. The results revealed five phylogenetic clusters (Groups A-E), with 408 nucleotide variants. The mutations including the deletion of three nucleotides underwent various and complicated changes in the whole genome over time, while some frequency or transient mutations were also observed. Phylogenetic analysis demonstrated that SARS-CoV-2 originated from China and was transmitted to other Asian countries, followed by North America and Europe. This study could help to comprehensively understand the evolutionary characteristics of SARS-CoV-2 with a special emphasis on its global variation patterns.
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Affiliation(s)
- Sanghyun Lee
- Division of Pathogen Resource Management, Center for Public Vaccine Development and Support, National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
- Division of Bio Bigdata, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, Republic of Korea
| | - Chi-Hwan Choi
- Division of Pathogen Resource Management, Center for Public Vaccine Development and Support, National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
| | - Mi-Ran Yun
- Division of Pathogen Resource Management, Center for Public Vaccine Development and Support, National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
| | - Dae-Won Kim
- Division of Pathogen Resource Management, Center for Public Vaccine Development and Support, National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
| | - Sung Soon Kim
- Center for Public Vaccine Development and Support, National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
| | - Young Ki Choi
- Department of Microbiology, College of Medicine and Medical Research Institute, Chungbuk National University, Cheongju, Republic of Korea
| | - Young Sill Choi
- Division of Pathogen Resource Management, Center for Public Vaccine Development and Support, National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju-si, Republic of Korea
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Shaker EK, Al-Jebouri MM, Al-Mayah QS, Al-Matubsi HY. Phylogenetic analysis of human pegivirus from anti-hepatitis C virus IgG- positive patients. Infect Genet Evol 2021; 96:105099. [PMID: 34601095 DOI: 10.1016/j.meegid.2021.105099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/20/2021] [Accepted: 09/27/2021] [Indexed: 12/24/2022]
Abstract
Human pegivirus type 1 (HPgV-1) is a non-pathogenic RNA virus in the Flaviviridae family that usually occurs as a co-infection with hepatitis B virus (HBV) or hepatitis C virus (HCV), though some evidence suggests it may play a role in certain cancers. The present study aimed to determine the prevalence of HPgV-1 infection in Iraqi anti-HCV IgG-positive patients, the risk factors associated with this infection, and the genotype of local isolates of this virus. A total of 88 anti-HCV IgG-positive patients participated in this cross-sectional study. Viral RAN was extracted from whole blood samples, and cDNA was produced using reverse transcriptase-polymerase chain reaction (RT-PCR). Two pairs of primers were used in nested PCR to amplify the virus genome's 5'-untranslated region (5'UTR). For direct sequencing, fourteen PCR products from the second round of PCR were chosen at random. A homology search was performed using the basic local alignment search tool (BLAST) program to identify the resultant sequencing. The phylogenetic tree of the local isolates and 31 reference isolates was constructed using MEGA X software to estimate the virus's genetic diversity and relatedness. Out of 88 patients included in this study, 27(30.68%) of patients were found to be positive for HPgV-1 RNA. The nucleotide homology between the 14 local isolates and the reference isolates. was found to be 87-97%. Phylogenetic analysis results in a tree with four main parts, which are distributed as follows: 10 local isolates are genotype 2; 2 are genotype 1; 1 is genotype 5, and 1 is genotype 6. We conclude that when compared to other countries, the infection rate of Iraqi anti-HCV IgG-positive patients with HPgV-1 is relatively high (30.68%). The most common HPgV-1 genotype in Iraq is genotype 2.
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Affiliation(s)
- Ekremah K Shaker
- Medical Laboratory Technique, Al-Rasheed University College, Iraq
| | | | - Qasim S Al-Mayah
- Medical Research Unit, College of Medicine, Al-Nahrain University, Iraq
| | - Hisham Y Al-Matubsi
- Department of Pharmacology and Medical Sciences, University of Petra, Amman, Jordan.
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211
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Mostafavi AS, Omidi M, Azizinezhad R, Etminan A, Badi HN. Genetic diversity analysis in a mini core collection of Damask rose (Rosa damascena Mill.) germplasm from Iran using URP and SCoT markers. J Genet Eng Biotechnol 2021; 19:144. [PMID: 34591207 PMCID: PMC8484433 DOI: 10.1186/s43141-021-00247-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 09/14/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Rosa damascena Mill is a well-known species of the rose family. It is famous for its essential oil content. The aim of the present study was to assess the genetic diversity and population structure of a mini core collection of the Iranian Damask rose germplasm. This involved the use of universal rice primers (URP) and start codon targeted (SCoT) molecular markers. RESULTS Fourteen URP and twelve SCoT primers amplified 268 and 216 loci, with an average of 19.21 and 18.18 polymorphic fragments per primer, respectively. The polymorphic information content for URR and SCoT primers ranged from 0.38 to 0.48 and 0.11 to 0.45, with the resolving power ranging from 8.75 to 13.05 and 9.9 to 14.59, respectively. Clustering was based on neighbor-joining (NJ). The mini core collection contained 40 accessions and was divided into three distinct clusters, centered on both markers and on the combination of data. CONCLUSION Cluster analysis and principal coordinate analysis were consistent with genetic relationships derived by STRUCTURE analysis. The findings showed that patterns of grouping did not correlate with geographical origin. Both molecular markers demonstrated that the accessions were not genetically diverse as expected, thereby highlighting the possibility that gene flow occurred between populations.
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Affiliation(s)
- Atefeh Sadat Mostafavi
- Department of Plant Breeding and Biotechnology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mansour Omidi
- Department of Agronomy and Plant Breeding, Agricultural College, University of Tehran, Karaj, Iran
| | - Reza Azizinezhad
- Department of Plant Breeding and Biotechnology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Alireza Etminan
- Department of Plant breeding and Biotechnology, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
| | - Hassanali Naghdi Badi
- Department of Plant Breeding and Biotechnology, Science and Research Branch, Islamic Azad University, Tehran, Iran
- Medicinal Plants Research Center, Institute of Medicinal Plants, ACECR, Karaj, Iran
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Bilska-Zając E, Rosenthal B, Thompson P. Trich-tracker - a practical tool to trace Trichinella spiralis transmission based on rapid, cost-effective sampling of genome-wide genetic variation. Int J Parasitol 2021; 52:145-155. [PMID: 34543631 DOI: 10.1016/j.ijpara.2021.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/12/2021] [Accepted: 08/18/2021] [Indexed: 12/12/2022]
Abstract
Molecular epidemiology using traditional sequencing has been notoriously difficult in inbred parasites due to a lack of genetic variation available for discriminating among parasites. Next generation sequencing techniques offer a solution to this problem by increasing the number of loci that can be sequenced. Here, we introduce Trich-tracker, a tool that makes efficient use of diagnostic variation distributed throughout the genome of Trichinella spiralis to more rapidly, and conclusively, resolve connections and distinctions among focal outbreaks of T. spiralis. In particular, we rapidly characterised genetic variation among a sample of parasites from Polish farms and wildlife, sampling genomic variation using double digest restriction site-associated DNA sequencing (ddRADseq). Approximately 400,000 bases of sequence were generated from each sample and shown to be distributed across the genome with single nucleotide polymorphisms occurring at a frequency of approximately one base in 10,000. Both phylogenetic and Bayesian clustering analyses indicated that ddRADseq genotypes formed distinct clusters for specific outbreaks and were quite distinct from wild boar samples. Two of the investigated outbreaks were more similar to each other than to other outbreak samples, suggesting a link between these outbreaks. Hence, the Trich-tracker procedure identified informative genomic variation which afforded unprecedented epidemiological resolution. Trich-tracker is very flexible tool, quickly and inexpensively mining genomes of even highly inbred populations of T. spiralis to support outbreak investigations. The simplicity of the entire procedure, and time and cost effectiveness of Trich-tracker support its practical application in ongoing Trichinella outbreaks. The discriminating power of this tool is tunable and scalable, allowing application in a variety of epidemiological contexts, and is easily adapted to other parasite systems.
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Affiliation(s)
- Ewa Bilska-Zając
- National Veterinary Research Institute in Puławy, Department of Parasitology and Invasive Diseases, Aleja Partyzantów 56, 24-100 Puławy, Poland
| | - Benjamin Rosenthal
- USDA-Agricultural Research Service, Animal Parasitic Diseases Lab, BARC-East Building 1040, 10300 Baltimore Avenue, 10705 Beltsville, MD, USA
| | - Peter Thompson
- USDA-Agricultural Research Service, Animal Parasitic Diseases Lab, BARC-East Building 1040, 10300 Baltimore Avenue, 10705 Beltsville, MD, USA
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Stelzer CP, Blommaert J, Waldvogel AM, Pichler M, Hecox-Lea B, Mark Welch DB. Comparative analysis reveals within-population genome size variation in a rotifer is driven by large genomic elements with highly abundant satellite DNA repeat elements. BMC Biol 2021; 19:206. [PMID: 34530817 PMCID: PMC8447722 DOI: 10.1186/s12915-021-01134-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/27/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Eukaryotic genomes are known to display an enormous variation in size, but the evolutionary causes of this phenomenon are still poorly understood. To obtain mechanistic insights into such variation, previous studies have often employed comparative genomics approaches involving closely related species or geographically isolated populations within a species. Genome comparisons among individuals of the same population remained so far understudied-despite their great potential in providing a microevolutionary perspective to genome size evolution. The rotifer Brachionus asplanchnoidis represents one of the most extreme cases of within-population genome size variation among eukaryotes, displaying almost twofold variation within a geographic population. RESULTS Here, we used a whole-genome sequencing approach to identify the underlying DNA sequence differences by assembling a high-quality reference genome draft for one individual of the population and aligning short reads of 15 individuals from the same geographic population including the reference individual. We identified several large, contiguous copy number variable regions (CNVs), up to megabases in size, which exhibited striking coverage differences among individuals, and whose coverage overall scaled with genome size. CNVs were of remarkably low complexity, being mainly composed of tandemly repeated satellite DNA with only a few interspersed genes or other sequences, and were characterized by a significantly elevated GC-content. CNV patterns in offspring of two parents with divergent genome size and CNV patterns in several individuals from an inbred line differing in genome size demonstrated inheritance and accumulation of CNVs across generations. CONCLUSIONS By identifying the exact genomic elements that cause within-population genome size variation, our study paves the way for studying genome size evolution in contemporary populations rather than inferring patterns and processes a posteriori from species comparisons.
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Affiliation(s)
- C P Stelzer
- Research Department for Limnology, University of Innsbruck, Mondsee, Austria.
| | - J Blommaert
- Research Department for Limnology, University of Innsbruck, Mondsee, Austria
- Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - A M Waldvogel
- Institute of Zoology, University of Cologne, Cologne, Germany
| | - M Pichler
- Research Department for Limnology, University of Innsbruck, Mondsee, Austria
| | - B Hecox-Lea
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, USA
| | - D B Mark Welch
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, USA
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Zhang Z, Sun Z, Fu J, Lin Q, Banu K, Chauhan K, Planoutene M, Wei C, Salem F, Yi Z, Liu R, Cravedi P, Cheng H, Hao K, O'Connell PJ, Ishibe S, Zhang W, Coca SG, Gibson IW, Colvin RB, He JC, Heeger PS, Murphy BT, Menon MC. Recipient APOL1 risk alleles associate with death-censored renal allograft survival and rejection episodes. J Clin Invest 2021; 131:e146643. [PMID: 34499625 DOI: 10.1172/jci146643] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 09/01/2021] [Indexed: 11/17/2022] Open
Abstract
Apolipoprotein L1 (APOL1) risk-alleles in donor kidneys associate with graft loss but whether recipient risk-allele expression impacts transplant outcomes is unclear. To test whether recipient APOL1 risk-alleles independently correlate with transplant outcomes, we analyzed genome-wide SNP genotyping data of donors and recipients from two kidney transplant cohorts, Genomics of Chronic Allograft Rejection (GOCAR) and Clinical Trials in Organ Transplantation (CTOT1/17). We estimated genetic ancestry (quantified as proportion of African ancestry or pAFR) by ADMIXTURE and correlated APOL1 genotypes and pAFR with outcomes. In the GOCAR discovery set, we observed that the number of recipient APOL1 G1/G2 alleles (R-nAPOL1) associated with increased risk of death-censored allograft loss (DCAL), independent of ancestry (HR = 2.14; P = 0.006), and within the subgroup of African American and Hispanic (AA/H) recipients (HR = 2.36; P = 0.003). R-nAPOL1 also associated with increased risk of any T cell-mediated rejection (TCMR) event. These associations were validated in CTOT1/17. Ex vivo studies of peripheral blood mononuclear cells revealed unanticipated high APOL1 expression in activated CD4+/CD8+ T cells and natural killer cells. We detected enriched immune response gene pathways in risk-allele carriers vs. non-carriers on the kidney transplant waitlist and among healthy controls. Our findings demonstrate an immunomodulatory role for recipient APOL1 risk-alleles associating with TCMR and DCAL. This finding has broader implications for immune mediated injury to native kidneys.
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Affiliation(s)
- Zhongyang Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Zeguo Sun
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Jia Fu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Qisheng Lin
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Khadija Banu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Kinsuk Chauhan
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Marina Planoutene
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Chengguo Wei
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Fadi Salem
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Zhengzi Yi
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Ruijie Liu
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Paolo Cravedi
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Haoxiang Cheng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Philip J O'Connell
- Centre for Transplant and Renal Research, Westmead Millennium Institute for Medical Research, Sydney University, Westmead, Australia
| | - Shuta Ishibe
- Department of Medicine, Yale University School of Medicine, New Haven, United States of America
| | - Weijia Zhang
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Steven G Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Ian W Gibson
- Department of Pathology, University of Manitoba, Winnipeg, Canada
| | - Robert B Colvin
- Department of Pathology, Massachusetts General Hospital, Boston, United States of America
| | - John C He
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Peter S Heeger
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
| | - Barbara T Murphy
- Division of Nephrology, Department of Medicine, Icahn school of Medicine at Mount Sinai, New York, United States of America
| | - Madhav C Menon
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, United States of America
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Gui Y, Grzyb K, Thomas MH, Ohnmacht J, Garcia P, Buttini M, Skupin A, Sauter T, Sinkkonen L. Single-nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell-type-specific gene regulatory variation. Epigenetics Chromatin 2021; 14:43. [PMID: 34503558 PMCID: PMC8427957 DOI: 10.1186/s13072-021-00418-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/24/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Cell types in ventral midbrain are involved in diseases with variable genetic susceptibility, such as Parkinson's disease and schizophrenia. Many genetic variants affect regulatory regions and alter gene expression in a cell-type-specific manner depending on the chromatin structure and accessibility. RESULTS We report 20,658 single-nuclei chromatin accessibility profiles of ventral midbrain from two genetically and phenotypically distinct mouse strains. We distinguish ten cell types based on chromatin profiles and analysis of accessible regions controlling cell identity genes highlights cell-type-specific key transcription factors. Regulatory variation segregating the mouse strains manifests more on transcriptome than chromatin level. However, cell-type-level data reveals changes not captured at tissue level. To discover the scope and cell-type specificity of cis-acting variation in midbrain gene expression, we identify putative regulatory variants and show them to be enriched at differentially expressed loci. Finally, we find TCF7L2 to mediate trans-acting variation selectively in midbrain neurons. CONCLUSIONS Our data set provides an extensive resource to study gene regulation in mesencephalon and provides insights into control of cell identity in the midbrain and identifies cell-type-specific regulatory variation possibly underlying phenotypic and behavioural differences between mouse strains.
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Affiliation(s)
- Yujuan Gui
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Kamil Grzyb
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Mélanie H Thomas
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Jochen Ohnmacht
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Pierre Garcia
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Manuel Buttini
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Thomas Sauter
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Lasse Sinkkonen
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.
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Min Q, Wang Y, Wu Q, Li X, Teng H, Fan J, Cao Y, Fan P, Zhan Q. Genomic and epigenomic evolution of acquired resistance to combination therapy in esophageal squamous cell carcinoma. JCI Insight 2021; 6:150203. [PMID: 34494553 PMCID: PMC8492345 DOI: 10.1172/jci.insight.150203] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/21/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUNDTargeted arterial infusion of verapamil combined with chemotherapy (TVCC) is an effective clinical interventional therapy for esophageal squamous cell carcinoma (ESCC), but multidrug resistance (MDR) remains the major cause of relapse or poor prognosis, and the underlying molecular mechanisms of MDR, temporal intratumoral heterogeneity, and clonal evolutionary processes of resistance have not been determined.METHODSTo elucidate the roles of genetic and epigenetic alterations in the evolution of acquired resistance during therapies, we performed whole-exome sequencing on 16 serial specimens from 7 patients with ESCC at every cycle of therapeutic intervention from 3 groups, complete response, partial response, and progressive disease, and we performed whole-genome bisulfite sequencing for 3 of these 7 patients, 1 patient from each group.RESULTSPatients with progressive disease exhibited a substantially higher genomic and epigenomic temporal heterogeneity. Subclonal expansions driven by the beneficial new mutations were observed during combined therapies, which explained the emergence of MDR. Notably, SLC7A8 was identified as a potentially novel MDR gene, and functional assays demonstrated that mutant SLC7A8 promoted the resistance phenotypes of ESCC cell lines. Promoter methylation dynamics during treatments revealed 8 drug resistance protein-coding genes characterized by hypomethylation in promoter regions. Intriguingly, promoter hypomethylation of SLC8A3 and mutant SLC7A8 were enriched in an identical pathway, protein digestion and absorption, indicating a potentially novel MDR mechanism during treatments.CONCLUSIONOur integrated multiomics investigations revealed the dynamics of temporal genetic and epigenetic inter- and intratumoral heterogeneity, clonal evolutionary processes, and epigenomic changes, providing potential MDR therapeutic targets in treatment-resistant patients with ESCC during combined therapies.FUNDINGNational Natural Science Foundation of China, Science Foundation of Peking University Cancer Hospital, CAMS Innovation Fund for Medical Sciences, Major Program of Shenzhen Bay Laboratory, Guangdong Basic and Applied Basic Research Foundation, and the third round of public welfare development and reform pilot projects of Beijing Municipal Medical Research Institutes.
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Affiliation(s)
- Qingjie Min
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qingnan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xianfeng Li
- Department of Gastroenterology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Huajing Teng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jiawen Fan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yiren Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Pingsheng Fan
- Department of Medical Oncology, Anhui Provincial Cancer Hospital, Hefei, China
| | - Qimin Zhan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, China
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
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Guerrini MM, Oguchi A, Suzuki A, Murakawa Y. Cap analysis of gene expression (CAGE) and noncoding regulatory elements. Semin Immunopathol 2021; 44:127-136. [PMID: 34468849 DOI: 10.1007/s00281-021-00886-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 07/01/2021] [Accepted: 08/13/2021] [Indexed: 01/06/2023]
Abstract
Cap analysis of gene expression (CAGE) was developed to detect the 5' end of RNA. Trapping of the RNA 5'-cap structure enables the enrichment and selective sequencing of complete transcripts. Upscaled high-throughput versions of CAGE have enabled the genome-wide identification of transcription start sites, including transcriptionally active promoters and enhancers. CAGE sequencing can be exploited to draw comprehensive maps of active genomic regulatory elements in a cell type- and activation-specific manner. The cells of the immune system are among the best candidates to be analyzed in humans, since they are easily accessible. In this review, we discuss how CAGE data are instrumental for integrative analyses with quantitative trait loci and omics data, and their usefulness in the mechanistic interpretation of the effects of genetic variations over the entire human genome. Integrating CAGE data with the currently available omics information will contribute to better understanding of the genome-wide association study variants that lie outside of annotated genes, deepening our knowledge on human diseases, and enabling the targeted design of more specific therapeutic interventions.
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Affiliation(s)
- Matteo Maurizio Guerrini
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
| | - Akiko Oguchi
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akari Suzuki
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Yasuhiro Murakawa
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- IFOM-the FIRC Institute of Molecular Oncology, Milan, Italy
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218
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Bunchom N, Tantrawatpan C, Agatsuma T, Suganuma N, Pilap W, Suksavate W, Sithithaworn P, Petney TN, Andrews RH, Saijuntha W. Genetic structure and evidence for coexistence of three taxa of Bithynia (Gastropoda: Bithyniidae), the intermediate host of Opisthorchis viverrini sensu lato (Digenea: Opisthorchiidae) in Thailand examined by mitochondrial DNA sequences analyses. Acta Trop 2021; 221:105980. [PMID: 34048791 DOI: 10.1016/j.actatropica.2021.105980] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 05/03/2021] [Accepted: 05/18/2021] [Indexed: 12/18/2022]
Abstract
The freshwater snails, Bithynia are the first intermediate hosts of the liver fluke, Opisthorchis viverrini, the causative agent of cholangiocarcinoma (CCA) in Southeast Asia. In Thailand, there are three traditionally recognized taxa of Bithynia: Bithynia funiculata; B. siamensis siamensis; B. s. goniomphalos. This study examines the geographical distribution and genetic structure of Bithynia species from five previously reported water catchments and six new catchments in Thailand. Of these, three new catchments Kok, Wang, and Nan are from the north and the remaining three new catchments are Phetchaburi, Prachuap Khiri Khan Coast, Mae Klong from the west of Thailand. We sampled 291 Bithynia snails from 52 localities in 11 catchment systems in the northern, western and central regions of Thailand. Mitochondrial cytochrome c oxidase subunit 1 (COI) and 16S ribosomal DNA (16S rDNA) sequences were used to examine genetic diversity of Bithynia snails which revealed 200 and 27 haplotypes of COI and 16S rDNA, respectively. However, as 16S rDNA is a conserved gene, it is not suitable to distinguish Bithynia at the species and sub-species levels in our study. The phylogenetic tree and haplotype network analyses included sequences of COI from GenBank. B. funiculata was found only in the north of Thailand and the genetic structure did not differ among populations. Genetic differentiation (ΦST) analyses showed that B. s. goniomphalos contained three distinct lineages. Lineage I contained B. s. goniomphalos from the vast majority of catchment systems in Thailand and Lao PDR. Lineage II contained all B. s. goniomphalos from the Prachin Buri and Bang Pakong catchment systems in eastern and central Thailand, including samples from all catchment systems in Cambodia. While lineage III contained B. s. goniomphalos from the Songkram and Nam Kam catchment systems in Thailand and the Nam Ngum and Huai Som Pak catchment systems in Lao PDR. Furthermore, results showed that all samples of B. s. siamensis were classified into one lineage and placed phylogenetically between B. s. goniomphalos lineages I and II. Thus, the taxonomic status of B. s. goniomphalos and B. s. siamensis requires reassessment, and they should be reclassified as belonging to the species complex "Bithynia siamensis sensu lato".
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Druciarek T, Lewandowski M, Tzanetakis I. Molecular phylogeny of Phyllocoptes associated with roses discloses the presence of a new species. Infect Genet Evol 2021; 95:105051. [PMID: 34450295 DOI: 10.1016/j.meegid.2021.105051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 07/15/2021] [Revised: 08/16/2021] [Accepted: 08/22/2021] [Indexed: 11/17/2022]
Abstract
There are few plant maladies as devastating as rose rosette, a disease caused by an eriophyoid -transmitted virus. Rosette annihilates roses across North America, and to date, there is a single verified vector of the virus, Phyllocoptes fructiphilus Keifer. In direct contrast to the importance of rose for the ornamental industry there is limited knowledge on the eriophyoids that inhabit roses in North America and even less information on their vectoring capacities. This study dissects the genetic diversity of the eriophyoid fauna in rosette-affected hotspots and provides evidence of the existence of an undescribed species named Phyllocoptes arcani sp. nov., that could potentially be a second vector of the rosette virus.
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Affiliation(s)
- Tobiasz Druciarek
- Entomology and Plant Pathology, Division of Agriculture, University of Arkansas System Fayetteville, AR 72701, United States.
| | - Mariusz Lewandowski
- Section of Applied Entomology, Department of Plant Protection, Institute of Horticultural Sciences, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland
| | - Ioannis Tzanetakis
- Entomology and Plant Pathology, Division of Agriculture, University of Arkansas System Fayetteville, AR 72701, United States.
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221
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Vohra V, Singh NP, Chhotaray S, Raina VS, Chopra A, Kataria RS. Morphometric and microsatellite-based comparative genetic diversity analysis in Bubalus bubalis from North India. PeerJ 2021; 9:e11846. [PMID: 34447621 PMCID: PMC8364325 DOI: 10.7717/peerj.11846] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 07/01/2021] [Indexed: 12/02/2022] Open
Abstract
To understand the similarities and dissimilarities of a breed structure among different buffalo breeds of North India, it is essential to capture their morphometric variation, genetic diversity, and effective population size. In the present study, diversity among three important breeds, namely, Murrah, Nili-Ravi and Gojri were studied using a parallel approach of morphometric characterization and molecular diversity. Morphology was characterized using 13 biometric traits, and molecular diversity through a panel of 22 microsatellite DNA markers recommended by FAO, Advisory Group on Animal Genetic Diversity, for diversity studies in buffaloes. Canonical discriminate analysis of biometric traits revealed different clusters suggesting distinct genetic entities among the three studied populations. Analysis of molecular variance revealed 81.8% of genetic variance was found within breeds, while 18.2% of the genetic variation was found between breeds. Effective population sizes estimated based on linkage disequilibrium were 142, 75 and 556 in Gojri, Nili-Ravi and Murrah populations, respectively, indicated the presence of sufficient genetic variation and absence of intense selection among three breeds. The Bayesian approach of STRUCTURE analysis (at K = 3) assigned all populations into three clusters with a degree of genetic admixture in the Murrah and Nili-Ravi buffalo populations. Admixture analysis reveals introgression among Murrah and Nili-Ravi breeds while identified the Gojri as unique buffalo germplasm, indicating that there might be a common origin of Murrah and Nili-Ravi buffaloes. The study provides important insights on buffalo breeds of North India that could be utilized in designing an effective breeding strategy, with an appropriate choice of breeds for upgrading local non-descript buffaloes along with conservation of unique germplasm.
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Affiliation(s)
- Vikas Vohra
- Animal Genetics and Breeding Division, National Dairy Research Institute, Karnal, Haryana, India
| | - Narendra Pratap Singh
- Animal Genetics and Breeding Division, National Dairy Research Institute, Karnal, Haryana, India
| | - Supriya Chhotaray
- Animal Genetics and Breeding Division, National Dairy Research Institute, Karnal, Haryana, India
| | - Varinder Singh Raina
- Department of Animal Husbandry and Dairying, Ministry of Fisheries, Animal Husbandry and Dairying, New Delhi, New Delhi, India
| | - Alka Chopra
- Animal Biotechnology Centre, National Dairy Research Institute, Karnal, Haryana, India
| | - Ranjit Singh Kataria
- Animal Biotechnology Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
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222
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Wu H, Song Q, Zhang Z, Li A, Zhu X, Yang Z, Zhang X. XPF -673C>T variation is associated with the susceptibility to breast cancer. Cancer Epidemiol 2021; 74:102007. [PMID: 34416547 DOI: 10.1016/j.canep.2021.102007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 08/02/2021] [Accepted: 08/08/2021] [Indexed: 11/22/2022]
Abstract
PURPOSE XPF variations might decrease the DNA repair capacity and further contribute to cancer development. This study aimed to investigate the association of XPF polymorphisms with risk of developing breast cancer. METHODS TCGA, the Human Protein Atlas and Kaplan-Meier plotter were used to analyze the expression of XPF in breast cancer tissues and its effect on the survival of breast cancer patients. The expression of XPF in breast cancer tissues was detected by qRT-PCR. This case-control study included 467 breast cancer patients and 467 healthy controls. The genotype of genetic variation was detected by polymerase chain reaction restriction fragment length polymorphism. Odds ratios and 95 % confidence intervals were calculated. Correlations between XPF variation and clinicopathological parameters were assessed through Kendall's Tau-b test. The relationship between XPF gene function variation and XPF gene expression was analyzed by GTEx. RESULTS The expression of XPF in breast cancer tissues is higher than that in normal tissues. Breast cancer patients with high XPF expression have a higher relapse free survival rate (HR = 0.88, 95 % CI = 0.80-0.97), but have no effect on the overall survival rate (logrank P = 0.28). XPF -673C > T variant can reduce the risk of breast cancer patients (OR = 0.35, 95 %CI = 0.20-0.63 for codominant mode; OR = 0.66, 95 %CI = 0.51-0.85 for dominant model; OR = 0.40, 95 %CI = 0.23-0.70 for recessive model). The XPF 11985 GG genotype reduced the risk of early breast cancer (OR = 0.49, 95 %CI = 0.24-0.97), but not the risk of advanced breast cancer (OR = 1.20, 95 % CI = 0.58-2.48). XPF 11985A > G variant can also reduce the risk of ERBB2 expression in patients (OR = 0.50, 95 %CI = 0.27-0.94). There is no correlation between XPF -673C > T/XPF11985A > G variants and ER and PR. XPF -673C > T variant can reduce XPF expression (P < 0.05). CONCLUSIONS Genetic variations of XPF gene may affect its expression and the risk of breast cancer in the Chinese population.
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223
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Chiliński M, Sengupta K, Plewczynski D. From DNA human sequence to the chromatin higher order organisation and its biological meaning: Using biomolecular interaction networks to understand the influence of structural variation on spatial genome organisation and its functional effect. Semin Cell Dev Biol 2021; 121:171-185. [PMID: 34429265 DOI: 10.1016/j.semcdb.2021.08.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 08/06/2021] [Accepted: 08/12/2021] [Indexed: 12/30/2022]
Abstract
The three-dimensional structure of the human genome has been proven to have a significant functional impact on gene expression. The high-order spatial chromatin is organised first by looping mediated by multiple protein factors, and then it is further formed into larger structures of topologically associated domains (TADs) or chromatin contact domains (CCDs), followed by A/B compartments and finally the chromosomal territories (CTs). The genetic variation observed in human population influences the multi-scale structures, posing a question regarding the functional impact of structural variants reflected by the variability of the genes expression patterns. The current methods of evaluating the functional effect include eQTLs analysis which uses statistical testing of influence of variants on spatially close genes. Rarely, non-coding DNA sequence changes are evaluated by their impact on the biomolecular interaction network (BIN) reflecting the cellular interactome that can be analysed by the classical graph-theoretic algorithms. Therefore, in the second part of the review, we introduce the concept of BIN, i.e. a meta-network model of the complete molecular interactome developed by integrating various biological networks. The BIN meta-network model includes DNA-protein binding by the plethora of protein factors as well as chromatin interactions, therefore allowing connection of genomics with the downstream biomolecular processes present in a cell. As an illustration, we scrutinise the chromatin interactions mediated by the CTCF protein detected in a ChIA-PET experiment in the human lymphoblastoid cell line GM12878. In the corresponding BIN meta-network the DNA spatial proximity is represented as a graph model, combined with the Proteins-Interaction Network (PIN) of human proteome using the Gene Association Network (GAN). Furthermore, we enriched the BIN with the signalling and metabolic pathways and Gene Ontology (GO) terms to assert its functional context. Finally, we mapped the Single Nucleotide Polymorphisms (SNPs) from the GWAS studies and identified the chromatin mutational hot-spots associated with a significant enrichment of SNPs related to autoimmune diseases. Afterwards, we mapped Structural Variants (SVs) from healthy individuals of 1000 Genomes Project and identified an interesting example of the missing protein complex associated with protein Q6GYQ0 due to a deletion on chromosome 14. Such an analysis using the meta-network BIN model is therefore helpful in evaluating the influence of genetic variation on spatial organisation of the genome and its functional effect in a cell.
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Affiliation(s)
- Mateusz Chiliński
- Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland; Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
| | - Kaustav Sengupta
- Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland
| | - Dariusz Plewczynski
- Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland; Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland.
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Povysil G, Butler-Laporte G, Gharavi AG, Richards JB, Goldstein DB, Kiryluk K. Association of rare predicted loss-of-function variants of influenza-related type I IFN genes with critical COVID-19 pneumonia. Reply. J Clin Invest 2021; 131:e152475. [PMID: 34156980 DOI: 10.1172/jci152475] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Gundula Povysil
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
| | - Guillaume Butler-Laporte
- Lady Davis Institute for Medical Research, Montreal, Quebec, Canada.,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Ali G Gharavi
- Department of Medicine and.,Institute for Genomic Medicine, Columbia University, New York, New York, USA
| | - J Brent Richards
- Lady Davis Institute for Medical Research, Montreal, Quebec, Canada.,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada.,Department of Human Genetics, McGill University, Montreal, Canada.,Department of Twin Research, King's College London, London, United Kingdom
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University, New York, New York, USA.,Department of Genetics and Development, Columbia University, New York, New York, USA
| | - Krzysztof Kiryluk
- Department of Medicine and.,Institute for Genomic Medicine, Columbia University, New York, New York, USA
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225
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Zhang Q, Cobat A, Bastard P, Notarangelo LD, Su HC, Abel L, Casanova JL. Association of rare predicted loss-of-function variants of influenza-related type I IFN genes with critical COVID-19 pneumonia. J Clin Invest 2021; 131:e152474. [PMID: 34166232 DOI: 10.1172/jci152474] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Qian Zhang
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA
| | - Aurélie Cobat
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.,Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.,University of Paris, Imagine Institute, Paris, France
| | - Paul Bastard
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.,University of Paris, Imagine Institute, Paris, France
| | - Luigi D Notarangelo
- Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID) and.,NIAID Clinical Genomics Program, NIH, Bethesda, Maryland, USA
| | - Helen C Su
- Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID) and.,NIAID Clinical Genomics Program, NIH, Bethesda, Maryland, USA
| | - Laurent Abel
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.,Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.,University of Paris, Imagine Institute, Paris, France
| | - Jean-Laurent Casanova
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, New York, USA.,Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France.,University of Paris, Imagine Institute, Paris, France.,Howard Hughes Medical Institute, New York, New York, USA.,Necker Hospital for Sick Children, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
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226
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Bezamat M, Zhou Y, Park T, Vieira AR. Genome-wide family-based study in torus palatinus affected individuals. Arch Oral Biol 2021; 130:105221. [PMID: 34352448 DOI: 10.1016/j.archoralbio.2021.105221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/22/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Tori or exostoses are bony growths that appear in different oral regions. Torus palatinus, more specifically, develop in the palate midline and can impair proper word pronunciation and hinder the fabrication and use of dentures. Even though a multifactorial inheritance model has been suggested for torus palatinus appearance, precise genetic factors involved in its etiology remain unclear. Hence, in this study we aimed to identify variants across the genome of individuals from 46 Filipino families that associate with torus palatinus. DESIGN All families were composed of fishermen or landless rural dwellers who provided blood samples for DNA extraction and genotyping. A total of 3519 single nucleotide polymorphisms (SNPs) were analyzed through a transmission disequilibrium test in individuals affected by torus palatinus and their unaffected family members. RESULTS Fourteen SNPs showed trends for associations to the level of p < .005 threshold and several others were nominally (p < .05) associated with torus palatinus. We highlight SNP rs6582285, which is located in the CAPS2 gene, being the C allele less transmitted than the T allele in our sample. The C allele of CAPS2 rs6582285 protects from having torus palatinus whereas the other associations found were linked to an increased risk of developing the condition. CONCLUSIONS Trends for associations were identified for several markers across the genome, supporting the hypothesis that torus palatinus has a multifactorial mode of inheritance. We hope that our study contributes to a better understanding of torus palatinus etiology and helps guide future research in examining genes for this often-overlooked condition in different populations.
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Affiliation(s)
- Mariana Bezamat
- Department of Oral & Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yuqiao Zhou
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Timothy Park
- Department of Oral & Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alexandre R Vieira
- Department of Oral & Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
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227
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Lu J, Pan C, Fan W, Liu W, Zhao H, Li D, Wang S, Hu L, He B, Qian K, Qin R, Ruan J, Lin Q, Lü S, Cui P. A Chromosome-level Assembly of A Wild Castor Genome Provides New Insights into the Adaptive Evolution in A Tropical Desert. Genomics Proteomics Bioinformatics 2021; 20:42-59. [PMID: 34339842 PMCID: PMC9510866 DOI: 10.1016/j.gpb.2021.04.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/03/2021] [Accepted: 04/12/2021] [Indexed: 02/01/2023]
Abstract
Wild castor grows in the high-altitude tropical desert of the African Plateau, a region known for high ultraviolet radiation, strong light, and extremely dry condition. To investigate the potential genetic basis of adaptation to both highland and tropical deserts, we generated a chromosome-level genome sequence assembly of the wild castor accession WT05, with a genome size of 316 Mb, a scaffold N50 of 31.93 Mb, and a contig N50 of 8.96 Mb, respectively. Compared with cultivated castor and other Euphorbiaceae species, the wild castor exhibits positive selection and gene family expansion for genes involved in DNA repair, photosynthesis, and abiotic stress responses. Genetic variations associated with positive selection were identified in several key genes, such as LIG1, DDB2, and RECG1, involved in nucleotide excision repair. Moreover, a study of genomic diversity among wild and cultivated accessions revealed genomic regions containing selection signatures associated with the adaptation to extreme environments. The identification of the genes and alleles with selection signatures provides insights into the genetic mechanisms underlying the adaptation of wild castor to the high-altitude tropical desert and would facilitate direct improvement of modern castor varieties.
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Affiliation(s)
- Jianjun Lu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Cheng Pan
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
| | - Wei Fan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Wanfei Liu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Huayan Zhao
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 434200, China
| | - Donghai Li
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Sen Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Lianlian Hu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bing He
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Kun Qian
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Rui Qin
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Jue Ruan
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qiang Lin
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
| | - Shiyou Lü
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 434200, China.
| | - Peng Cui
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
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228
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Mirahmadi H, Safari T, Metanat M, Tabatabaei SM, Mehravaran A, Raeghi S. Sequence Analysis of Pvama-1 among Plasmodium Vivax Isolates in Sistan-Baluchistan. Ethiop J Health Sci 2021; 30:513-520. [PMID: 33897211 PMCID: PMC8054451 DOI: 10.4314/ejhs.v30i4.6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background Apical Membrane antigen 1 (AMA-1) is an important membrane protein that presents in all Plasmodium species and participates in critical phases in the attraction of cells. In human, it is one of the most immunodominant antigens with a protective immune response simulation role Apical Membrane antigen 1 (AMA-1) is an important membrane protein which presents in all Plasmodium species and is located on the surface of merozoite and sporozoites that participates in critical phases in attraction of human red blood cells by merozoites and hepatocytes by sporozoites, so in human, it is one of the most immunodominant antigens with a protective immune response simulation role. Since extra information is necessary to lighten of AMA-1 scope, we equaled genetic variation in P.vivax AMA-1 from 40 Iranian isolates with those reported from the other malarious countries. Methods Blood samples were collected from 40 patients' positive of P.vivax, and genomic DNA was extracted from the blood. The nucleotide sequence for 446 amino acid (AA) residues (42-488 of PvAMA-1) of AMA-1 gene was amplified via PCR and then sequenced. Result A total of 24 different haplotypes were recognized between samples. No new haplotype was determined in this research that was reported previously in other regions of Iran and the world. We detected 37-point mutations at the nucleotide level in their sequences and showed 43 amino acid variations, at 37 positions in which 6 sites demonstrate trimorphic polymorphism, and the others were dimorphic. Conclusion Sequence analysis of the major haplotype showed 95% similarity with P.vivax Sal-1 AMA-1 gene and high level of allelic diversity at the domain I of PvAMA-1 among P. vivax isolates of Iran. Because PvAMA-1 is noticeable as vaccine candidate antigen, these documents provide valuable information for the development of malaria vaccine.
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Affiliation(s)
- Hadi Mirahmadi
- Infectious Diseases and Tropical Medicine Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran.,Department of Parasitology and Mycology, Faculty of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Tahere Safari
- Infectious Diseases and Tropical Medicine Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Malihe Metanat
- Infectious Diseases and Tropical Medicine Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Seyed Mehdi Tabatabaei
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, IR Iran
| | - Ahmad Mehravaran
- Infectious Diseases and Tropical Medicine Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Saber Raeghi
- Department of Laboratory Sciences, Maragheh University of Medical Sciences, Maragheh, Iran
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229
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Sepúlveda N. Impact of genetic variation on the molecular mimicry between Anoctamin-2 and Epstein-Barr virus nuclear antigen 1 in Multiple Sclerosis. Immunol Lett 2021; 238:29-31. [PMID: 34310987 DOI: 10.1016/j.imlet.2021.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 07/19/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Nuno Sepúlveda
- CEAUL - Centro de Estatística e Aplicações da Universidade de Lisboa, Portugal.
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230
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Platt JL, de Mattos Barbosa MG, Huynh D, Lefferts AR, Katta J, Kharas C, Freddolino P, Bassis CM, Wobus C, Geha R, Bram R, Nunez G, Kamada N, Cascalho M. TNFRSF13B polymorphisms counter microbial adaptation to enteric IgA. JCI Insight 2021; 6:e148208. [PMID: 34111031 PMCID: PMC8410086 DOI: 10.1172/jci.insight.148208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/07/2021] [Indexed: 11/18/2022] Open
Abstract
TNFRSF13B encodes the transmembrane activator and CAML interactor (TACI) receptor, which drives plasma cell differentiation. Although TNFRSF13B supports host defense, dominant-negative TNFRSF13B alleles are common in humans and other species and only rarely associate with disease. We reasoned that the high frequency of disruptive TNFRSF13B alleles reflects balancing selection, the loss of function conferring advantage in some settings. Testing that concept, we investigated how a common human dominant-negative variant, TNFRSF13B A181E, imparts resistance to enteric pathogens. Mice engineered to express mono- or biallelic A144E variants of tnrsf13B, corresponding to A181E, exhibited a striking resistance to pathogenicity and transmission of Citrobacter rodentium, a murine pathogen that models enterohemorrhagic Escherichiacoli, and resistance was principally owed to natural IgA deficiency in the intestine. In WT mice with gut IgA and in mutant mice reconstituted with enteric IgA obtained from WT mice, IgA induces LEE expression of encoded virulence genes, which confer pathogenicity and transmission. Taken together, our results show that C. rodentium and most likely other enteric organisms appropriated binding of otherwise protective antibodies to signal induction of the virulence program. Additionally, the high prevalence of TNFRSF13B dominant-negative variants reflects balancing selection.
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Affiliation(s)
- Jeffrey L Platt
- Department of Microbiology and Immunology and Department of Surgery
| | | | | | | | | | | | - Peter Freddolino
- Department of Biological Chemistry and Department of Computational Medicine and Bioinformatics
| | | | - Christiane Wobus
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Raif Geha
- Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Richard Bram
- Departments of Oncology, Pediatric Hematology/Oncology, and Pediatrics, Mayo Clinic, Rochester, Minnesota, USA
| | - Gabriel Nunez
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Marilia Cascalho
- Department of Microbiology and Immunology and Department of Surgery
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231
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de Mattos Barbosa MG, Lefferts AR, Huynh D, Liu H, Zhang Y, Fu B, Barnes J, Samaniego M, Bram RJ, Geha R, Shikanov A, Luning Prak ET, Farkash EA, Platt JL, Cascalho M. TNFRSF13B genotypes control immune-mediated pathology by regulating the functions of innate B cells. JCI Insight 2021; 6:e150483. [PMID: 34283811 PMCID: PMC8492324 DOI: 10.1172/jci.insight.150483] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 07/14/2021] [Indexed: 11/20/2022] Open
Abstract
Host genes define the severity of inflammation and immunity but specific loci doing so are unknown. Here we show that TNF receptor superfamily member 13B (TNFRSF13B) variants, which enhance defense against certain pathogens, also control immune-mediated injury of transplants, by regulating innate B cells’ functions. Analysis of TNFRSF13B in human kidney transplant recipients revealed that 33% of those with antibody-mediated rejection (AMR) but fewer than 6% of those with stable graft function had TNFRSF13B missense mutations. To explore mechanisms underlying aggressive immune responses, we investigated alloimmunity and rejection in mice. Cardiac allografts in Tnfrsf13b-mutant mice underwent early and severe AMR. The dominance and precocity of AMR in Tnfrsf13b-deficient mice were not caused by increased alloantibodies. Rather, Tnfrsf13b mutations decreased “natural” IgM and compromised complement regulation, leading to complement deposition in allografted hearts and autogenous kidneys. Thus, WT TNFRSF13B and Tnfrsf13b support innate B cell functions that limit complement-associated inflammation; in contrast, common variants of these genes intensify inflammatory responses that help clear microbial infections but allow inadvertent tissue injury to ensue. The wide variation in inflammatory reactions associated with TNFRSF13B diversity suggests polymorphisms could underlie variation in host defense and explosive inflammatory responses that sometimes enhance morbidity associated with immune responses.
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Affiliation(s)
| | - Adam R Lefferts
- Department of Surgery, University of Michigan, Ann Arbor, United States of America
| | - Daniel Huynh
- Department of Surgery, University of Michigan, Ann Arbor, United States of America
| | - Hui Liu
- Department of Surgery, University of Michigan, Ann Arbor, United States of America
| | - Yu Zhang
- Department of Surgery, University of Michigan, Ann Arbor, United States of America
| | - Beverly Fu
- Department of Surgery, University of Michigan, Ann Arbor, United States of America
| | - Jenna Barnes
- Department of Pathology, University of Michigan, Ann Arbor, United States of America
| | - Milagros Samaniego
- Department of Medicine, University of Michigan, Ann Arbor, United States of America
| | - Richard J Bram
- Department of Pediatric and Adolescent Medicine, Mayo Clinic/Foundation, Rochester, United States of America
| | - Raif Geha
- Division of Immunology, Department of Pediatrics, Harvard Medical School, Boston, United States of America
| | - Ariella Shikanov
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, United States of America
| | - Evan A Farkash
- Department of Pathology, University of Michigan, Ann Arbor, United States of America
| | - Jeffrey L Platt
- Transplantation Biology, University of Michigan, Ann Arbor, United States of America
| | - Marilia Cascalho
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, United States of America
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Koker MY, Sarper N, Albayrak C, Zulfikar B, Zengin E, Saraymen B, Albayrak D, Koc B, Avcilar H, Karakükcü M, Chenet C, Bianchi F, de Brevern AG, Petermann R, Jallu V. New αIIbβ3 variants in 28 Turkish Glanzmann patients; Structural hypothesis for complex activation by residues variations in I-EGF domains. Platelets 2021; 33:551-561. [PMID: 34275420 DOI: 10.1080/09537104.2021.1947481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Glanzmann thrombasthenia (GT) is a rare autosomal recessive bleeding disorder characterized by impaired platelet aggregation due to defects in integrin αIIbβ3, a fibrinogen receptor. Platelet phenotypes and allelic variations in 28 Turkish GT patients are reported. Platelets αIIbβ3 expression was evaluated by flow cytometry. Sequence analyzes of ITGA2B and ITGB3 genes allowed identifying nine variants. Non-sense variation effect on αIIbβ3 expression was studied by using transfected cell lines. 3D molecular dynamics (MDs) simulations allowed characterizing structural alterations. Five new alleles were described. αIIb:p.Gly423Asp, p.Asp560Ala and p.Tyr784Cys substitutions impaired αIIbβ3 expression. The αIIb:p.Gly128Val substitution allowed normal expression; however, the corresponding NM_000419.3:c.476G>T variation would create a cryptic donor splicing site altering mRNA processing. The β3:p.Gly540Asp substitution allowed αIIbβ3 expression in HEK-293 cells but induced its constitutive activation likely by impairing αIIb and β3 legs interaction. The substitution alters the β3 I-EGF-3 domain flexibility as shown by MDs simulations. GT variations are mostly unique although the NM_000419.3:c.1752 + 2 T > C and NM_000212.2:c.1697 G > A variations identified in 4 and 8 families, respectively, might be a current cause of GT in Turkey. MD simulations suggested how some subtle structural variations in the β3 I-EGF domains might induce constitutive activation of αIIbβ3 without altering the global domain structure.
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Affiliation(s)
- M Y Koker
- Faculty of Medicine, Department of Immunology, Erciyes University, Kayseri, Turkey
| | - N Sarper
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Hematology, Kocaeli University, Kocaeli, Turkey
| | - C Albayrak
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Hematology and Oncology, Ondokuz Mayis University, Samsun, Turkey
| | - B Zulfikar
- Oncology Institute, Department of Pediatric Hematology/Oncology, Istanbul University, İstanbul, Turkey
| | - E Zengin
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Hematology, Kocaeli University, Kocaeli, Turkey
| | - B Saraymen
- Nanotechnology Research and Application Center, Erciyes University, Kayseri, Turkey
| | - D Albayrak
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Hematology and Oncology, Ondokuz Mayis University, Samsun, Turkey
| | - B Koc
- Oncology Institute, Department of Pediatric Hematology/Oncology, Istanbul University, İstanbul, Turkey
| | - H Avcilar
- Faculty of Medicine, Department of Immunology, Erciyes University, Kayseri, Turkey
| | - M Karakükcü
- Faculty of Medicine, Department of Pediatrics, Division of Pediatric Hematology, Erciyes University, Kayseri, Turkey
| | - C Chenet
- Département d'Immunologie Plaquettaire, Institut National De La Transfusion Sanguine (INTS), Paris, France.,Centre National de Référence en Hémobiologie Périnatale (CNRHP), Site St Antoine, DMU Biologie et Génomique Médicales, AP-HP, Sorbonne Université PARIS, FRANCE
| | - F Bianchi
- Département d'Immunologie Plaquettaire, Institut National De La Transfusion Sanguine (INTS), Paris, France.,Centre National de Référence en Hémobiologie Périnatale (CNRHP), Site St Antoine, DMU Biologie et Génomique Médicales, AP-HP, Sorbonne Université PARIS, FRANCE
| | - A G de Brevern
- Biologie Intégrée du Globule Rouge UMR_S1134, Inserm, DSIMB, Univ. Paris, Univ. De La Réunion, Univ. Des Antilles, Paris, France.,Institut National de la Transfusion Sanguine (INTS), Paris, France.,Laboratoire d'Excellence GR-Ex, Paris, France
| | - R Petermann
- Département d'Immunologie Plaquettaire, Institut National De La Transfusion Sanguine (INTS), Paris, France.,Centre National de Référence en Hémobiologie Périnatale (CNRHP), Site St Antoine, DMU Biologie et Génomique Médicales, AP-HP, Sorbonne Université PARIS, FRANCE.,Centre De Recherche Des Cordeliers, UMRS-1138, INSERM, Sorbone Université De Paris, Equipe ETREs (Ethics, Research, Translations), Paris, France
| | - V Jallu
- Département d'Immunologie Plaquettaire, Institut National De La Transfusion Sanguine (INTS), Paris, France.,Centre National de Référence en Hémobiologie Périnatale (CNRHP), Site St Antoine, DMU Biologie et Génomique Médicales, AP-HP, Sorbonne Université PARIS, FRANCE
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233
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Povysil G, Butler-Laporte G, Shang N, Wang C, Khan A, Alaamery M, Nakanishi T, Zhou S, Forgetta V, Eveleigh RJ, Bourgey M, Aziz N, Jones SJ, Knoppers B, Scherer SW, Strug LJ, Lepage P, Ragoussis J, Bourque G, Alghamdi J, Aljawini N, Albes N, Al-Afghani HM, Alghamdi B, Almutairi MS, Mahmoud ES, Abu-Safieh L, El Bardisy H, Harthi FSA, Alshareef A, Suliman BA, Alqahtani SA, Almalik A, Alrashed MM, Massadeh S, Mooser V, Lathrop M, Fawzy M, Arabi YM, Mbarek H, Saad C, Al-Muftah W, Jung J, Mangul S, Badji R, Thani AA, Ismail SI, Gharavi AG, Abedalthagafi MS, Richards JB, Goldstein DB, Kiryluk K. Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19. J Clin Invest 2021; 131:147834. [PMID: 34043590 PMCID: PMC8279578 DOI: 10.1172/jci147834] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [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: 01/19/2021] [Accepted: 05/25/2021] [Indexed: 12/25/2022] Open
Abstract
A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,864 COVID-19 cases (713 with severe and 1,151 with mild disease) and 15,033 ancestry-matched population controls across 4 independent COVID-19 biobanks. We tested whether rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only 1 rare pLOF mutation across these genes among 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We found no evidence of association of rare LOF variants in the 13 candidate genes with severe COVID-19 outcomes.
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Affiliation(s)
- Gundula Povysil
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
| | - Guillaume Butler-Laporte
- Lady Davis Institute for Medical Research, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Ning Shang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Chen Wang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Manal Alaamery
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Project at King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Tomoko Nakanishi
- Lady Davis Institute for Medical Research, Montréal, Québec, Canada
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Sirui Zhou
- Lady Davis Institute for Medical Research, Montréal, Québec, Canada
| | | | - Robert J.M. Eveleigh
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
- McGill Genome Center, McGill University, Montréal, Québec, Canada
| | - Mathieu Bourgey
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
- McGill Genome Center, McGill University, Montréal, Québec, Canada
| | - Naveed Aziz
- Canadian COVID Genomics Network, HostSeq Project, Canada
| | | | | | | | - Lisa J. Strug
- Canadian COVID Genomics Network, HostSeq Project, Canada
| | - Pierre Lepage
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
| | - Jiannis Ragoussis
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- McGill Genome Center, McGill University, Montréal, Québec, Canada
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
| | | | - Nora Aljawini
- KACST-BWH Centre of Excellence for Biomedicine, Joint Centers of Excellence Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Nour Albes
- KACST-BWH Centre of Excellence for Biomedicine, Joint Centers of Excellence Program, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Hani M. Al-Afghani
- Laboratory Department, Security Forces Hospital, General Directorate of Medical Services, Ministry of Interior, Makkah, Saudi Arabia
| | - Bader Alghamdi
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Mansour S. Almutairi
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Ebrahim Sabri Mahmoud
- Ministry of the National Guard Health Affairs, King Abdullah International Medical Research Center and King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Leen Abu-Safieh
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Hadeel El Bardisy
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Fawz S. Al Harthi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | | | - Bandar Ali Suliman
- College of Applied Medical Sciences, Taibah University, Madina, Saudi Arabia
| | - Saleh A. Alqahtani
- Liver Transplant Unit, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
- Division of Gastroenterology and Hepatology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Abdulaziz Almalik
- Life Science and Environmental Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - May M. Alrashed
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Salam Massadeh
- Developmental Medicine Department, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- Saudi Human Genome Project at King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Vincent Mooser
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Mark Lathrop
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- Canadian COVID Genomics Network, HostSeq Project, Canada
- Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada
| | - Mohamed Fawzy
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Yaseen M. Arabi
- Ministry of the National Guard Health Affairs, King Abdullah International Medical Research Center and King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Hamdi Mbarek
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Chadi Saad
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Wadha Al-Muftah
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Junghyun Jung
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, California, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Serghei Mangul
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, California, USA
| | - Radja Badji
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Asma Al Thani
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Said I. Ismail
- Qatar Genome Program, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Ali G. Gharavi
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
- Center for Precision Medicine and Genomics, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Malak S. Abedalthagafi
- Genomics Research Department, Saudi Human Genome Project, King Fahad Medical City and King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - J. Brent Richards
- Lady Davis Institute for Medical Research, Montréal, Québec, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada
- Kyoto-McGill International Collaborative School in Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Twin Research, King’s College London, London, United Kingdom
| | - David B. Goldstein
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
- Department of Genetics & Development, Columbia University, New York, New York, USA
| | - Krzysztof Kiryluk
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
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234
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Mori T, Warner C, Ohno S, Mori K, Tobimatsu T, Sera T. Genome sequence analysis of new plum pox virus isolates from Japan. BMC Res Notes 2021; 14:266. [PMID: 34246294 PMCID: PMC8272314 DOI: 10.1186/s13104-021-05683-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 07/05/2021] [Indexed: 12/04/2022] Open
Abstract
Objective To find mutations that may have recently occurred in Plum pox virus (PPV), we collected six PPV-infected plum/peach trees from the western part of Japan and one from the eastern part. After sequencing the full-length PPV genomic RNAs, we compared the amino acid sequences with representative isolates of each PPV strain. Results All new isolates were found to belong to the PPV-D strain: the six isolates collected from western Japan were identified as the West-Japan strain while the one collected from eastern Japan as the East-Japan strain. Amino acid sequence analysis of these seven isolates suggested that the 1407th and 1529th amino acid residues are characteristic of the West-Japan and the East-Japan strains, respectively. Comparing them with the corresponding amino acid residues of the 47 non-Japanese PPV-D isolates revealed that these amino acid residues are undoubtedly unique. A further examination of the relevant amino acid residues of the other 210 PPV-D isolates collected in Japan generated a new hypothesis regarding the invasion route from overseas and the subsequent diffusion route within Japan: a PPV-D strain might have invaded the western part of Japan from overseas and spread throughout Japan. Supplementary Information The online version contains supplementary material available at 10.1186/s13104-021-05683-9.
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Affiliation(s)
- Tomoaki Mori
- Department of Applied Chemistry and Biotechnology, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Chiaki Warner
- Department of Applied Chemistry and Biotechnology, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Serika Ohno
- Department of Applied Chemistry and Biotechnology, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Koichi Mori
- Department of Applied Chemistry and Biotechnology, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Takamasa Tobimatsu
- Department of Applied Chemistry and Biotechnology, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Takashi Sera
- Department of Applied Chemistry and Biotechnology, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
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235
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Fu Q, Deng J, Chen M, Zhong Y, Lu GH, Wang YQ. Population genetic structure and connectivity of a riparian selfing herb Caulokaempferia coenobialis at a fine-scale geographic level in subtropical monsoon forest. BMC Plant Biol 2021; 21:329. [PMID: 34238223 PMCID: PMC8265151 DOI: 10.1186/s12870-021-03101-7] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Rivers and streams facilitate movement of individuals and their genes across the landscape and are generally recognized as dispersal corridors for riparian plants. Nevertheless, some authors have reported directly contrasting results, which may be attributed to a complex mixture of factors, such as the mating system and dispersal mechanisms of propagules (seed and pollen), that make it difficult to predict the genetic diversity and population structure of riparian species. Here, we investigated a riparian self-fertilizing herb Caulokaempferia coenobialis, which does not use anemochory or zoochory for seed dispersal; such studies could contribute to an improved understanding of the effect of rivers or streams on population genetic diversity and structure in riparian plants. Using polymorphic ISSR and cpDNA loci, we studied the effect at a microgeographic scale of different stream systems (a linear stream, a dendritic stream, and complex transverse hydrological system) in subtropical monsoon forest on the genetic structure and connectivity of C. coenobialis populations across Dinghu Mountain (DH) and Nankun Mountain (NK). RESULTS The results indicate that the most recent haplotypes (DH: H7, H8; NK: h6, h7, h11, h12) are not shared among local populations of C. coenobialis within each stream system. Furthermore, downstream local populations do not accumulate genetic diversity, whether in the linear streamside local populations across DH (H: 0.091 vs 0.136) or the dendritic streamside local populations across NK (H: 0.079 vs 0.112, 0.110). Our results show that the connectivity of local C. coenobialis populations across DH and NK can be attributed to historical gene flows, resulting in a lack of spatial genetic structure, despite self-fertilization. Selfing C. coenobialis can maintain high genetic diversity (H = 0.251; I = 0.382) through genetic differentiation (GST = 0.5915; FST = 0.663), which is intensified by local adaptation and neutral mutation and/or genetic drift in local populations at a microgeographic scale. CONCLUSION We suggest that streams are not acting as corridors for dispersal of C. coenobialis, and conservation strategies for maintaining genetic diversity of selfing species should be focused on the protection of all habitat types, especially isolated fragments in ecosystem processes.
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Affiliation(s)
- Qiong Fu
- Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Jie Deng
- Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Min Chen
- Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Yan Zhong
- Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Guo-Hui Lu
- Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Ying-Qiang Wang
- Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, School of Life Sciences, South China Normal University, Guangzhou, China.
- Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, China.
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236
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Yang G, Pan W, Zhang R, Pan Y, Guo Q, Song W, Zheng W, Nie X. Genome-wide identification and characterization of caffeoyl-coenzyme A O-methyltransferase genes related to the Fusarium head blight response in wheat. BMC Genomics 2021; 22:504. [PMID: 34218810 PMCID: PMC8254967 DOI: 10.1186/s12864-021-07849-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 06/21/2021] [Indexed: 02/01/2023] Open
Abstract
Background Lignin is one of the main components of the cell wall and is directly associated with plant development and defence mechanisms in plants, especially in response to Fusarium graminearum (Fg) infection. Caffeoyl-coenzyme A O-methyltransferase (CCoAOMT) is the main regulator determining the efficiency of lignin synthesis and composition. Although it has been characterized in many plants, to date, the importance of the CCoAOMT family in wheat is not well understood. Results Here, a total of 21 wheat CCoAOMT genes (TaCCoAOMT) were identified through an in silico genome search method and they were classified into four groups based on phylogenetic analysis, with the members of the same group sharing similar gene structures and conserved motif compositions. Furthermore, the expression patterns and co-expression network in which TaCCoAOMT is involved were comprehensively investigated using 48 RNA-seq samples from Fg infected and mock samples of 4 wheat genotypes. Combined with qRT-PCR validation of 11 Fg-responsive TaCCoAOMT genes, potential candidates involved in the FHB response and their regulation modules were preliminarily suggested. Additionally, we investigated the genetic diversity and main haplotypes of these CCoAOMT genes in bread wheat and its relative populations based on resequencing data. Conclusions This study identified and characterized the CCoAOMT family in wheat, which not only provided potential targets for further functional analysis, but also contributed to uncovering the mechanism of lignin biosynthesis and its role in FHB tolerance in wheat and beyond. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07849-y.
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Affiliation(s)
- Guang Yang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China
| | - Wenqiu Pan
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China
| | - Ruoyu Zhang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China
| | - Yan Pan
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China
| | - Qifan Guo
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China
| | - Weining Song
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China.,ICARDA-NWSUAF Joint Research Centre, Northwest A&F University, 712100, Yangling, Shaanxi, China
| | - Weijun Zheng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China.
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, 712100, Yangling, Shaanxi, China. .,ICARDA-NWSUAF Joint Research Centre, Northwest A&F University, 712100, Yangling, Shaanxi, China.
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237
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Zhu Y, Tian J, Peng X, Wang X, Yang N, Ying P, Wang H, Li B, Li Y, Zhang M, Cai Y, Lu Z, Niu S, Li Y, Zhong R, Chang J, Miao X. A genetic variant conferred high expression of CAV2 promotes pancreatic cancer progression and associates with poor prognosis. Eur J Cancer 2021; 151:94-105. [PMID: 33975060 DOI: 10.1016/j.ejca.2021.04.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 12/21/2020] [Revised: 03/16/2021] [Accepted: 04/06/2021] [Indexed: 12/12/2022]
Abstract
AIM This study aimed to identify the functional genes and genetic variants associated with the prognosis of pancreatic ductal adenocarcinoma (PDAC) and reveal the mechanism underlying their prognostic roles. METHODS First, we implement a two-stage exome-wide association study in a total of 1070 patients to identify the genetic variant correlated with PDAC prognosis. Then we performed fine mapping through bioinformatics analysis and dual-luciferase reporter assays to reveal the causal functional variant and prognostic gene. Next, we established the gene knockdown, knockout, and overexpression cell lines with small interfering RNA, CRISPR/Cas9, and lentivirus, respectively, and investigated the gene function on cell proliferation and migration in vivo and in vitro. Finally, we performed the RNA-seq to elucidate downstream genes and mechanisms altering PDAC prognosis. RESULTS We identified the CAV1-CAV2 locus tagged by rs8940 was significantly associated with PDAC prognosis, and rs10249656 in the 3'untranslated region of CAV2 was the real functional variant, which upregulated CAV2 expression through abolishing miR-548s binding. We observed upregulated CAV2 in PDAC and the higher expression correlated with worse prognosis. Transient knockdown of CAV2 inhibited PDAC migration without affecting proliferation rate. Knockout of CAV2 suppressed PDAC progression and metastasis, whereas stable overexpression of CAV2 promoted. Overexpressed CAV2 promoted the PDAC progression and metastasis via perturbing genes in the focal adhesion (CCND1, IGTA1, and ZYX) and extracellular matrix organisation (PLOD2, CAST, and ITGA1) pathways mechanically. CONCLUSION These findings shed light on an important role of CAV2 on PDAC progression and the prognostic impact of its genetic variation.
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Affiliation(s)
- Ying Zhu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Xiating Peng
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Xiaoyang Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Nan Yang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Pingting Ying
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Haoxue Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Bin Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Yue Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Zequn Lu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Siyuan Niu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Yao Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China.
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Mohammadi E, Shafiee F, Shahzamani K, Ranjbar MM, Alibakhshi A, Ahangarzadeh S, Beikmohammadi L, Shariati L, Hooshmandi S, Ataei B, Javanmard SH. Novel and emerging mutations of SARS-CoV-2: Biomedical implications. Biomed Pharmacother 2021; 139:111599. [PMID: 33915502 PMCID: PMC8062574 DOI: 10.1016/j.biopha.2021.111599] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/18/2021] [Accepted: 03/27/2021] [Indexed: 12/31/2022] Open
Abstract
Coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 virus strains has geographical diversity associated with diverse severity, mortality rate, and response to treatment that were characterized using phylogenetic network analysis of SARS-CoV-2 genomes. Although, there is no explicit and integrative explanation for these variations, the genetic arrangement, and stability of SARS-CoV-2 are basic contributing factors to its virulence and pathogenesis. Hence, understanding these features can be used to predict the future transmission dynamics of SARS-CoV-2 infection, drug development, and vaccine. In this review, we discuss the most recent findings on the mutations in the SARS-CoV-2, which provide valuable information on the genetic diversity of SARS-CoV-2, especially for DNA-based diagnosis, antivirals, and vaccine development for COVID-19.
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Affiliation(s)
- Elmira Mohammadi
- Applied Physiology Research Center, Cardiovascular Research Institute, Department of Physiology, Isfahan University of Medical Sciences, Isfahan, Iran; Core Research Facilities, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fatemeh Shafiee
- Department of Pharmaceutical Biotechnology, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kiana Shahzamani
- Isfahan Gastroenterology and Hepatology Research Center (lGHRC), Isfahan University of medical sciences, Isfahan, Iran
| | - Mohammad Mehdi Ranjbar
- Razi Vaccine and Serum Research Institute, Agricultural Research, Education, and Extension Organization (AREEO), Karaj, Iran
| | - Abbas Alibakhshi
- Molecular Medicine Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Shahrzad Ahangarzadeh
- Infectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Leila Beikmohammadi
- Department of Biochemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Laleh Shariati
- Department of Biochemistry, Erasmus University Medical Center, Rotterdam, The Netherlands; Stem Cell and Regenerative Medicine Center of Excellence, Tehran University of Medical Sciences, 14155-6559 Tehran, Iran
| | - Soodeh Hooshmandi
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Behrooz Ataei
- Infectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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239
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Page GP, Kanias T, Guo YJ, Lanteri MC, Zhang X, Mast AE, Cable RG, Spencer BR, Kiss JE, Fang F, Endres-Dighe SM, Brambilla D, Nouraie M, Gordeuk VR, Kleinman S, Busch MP, Gladwin MT. Multiple-ancestry genome-wide association study identifies 27 loci associated with measures of hemolysis following blood storage. J Clin Invest 2021; 131:146077. [PMID: 34014839 DOI: 10.1172/jci146077] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 05/13/2021] [Indexed: 12/17/2022] Open
Abstract
BackgroundThe evolutionary pressure of endemic malaria and other erythrocytic pathogens has shaped variation in genes encoding erythrocyte structural and functional proteins, influencing responses to hemolytic stress during transfusion and disease.MethodsWe sought to identify such genetic variants in blood donors by conducting a genome-wide association study (GWAS) of 12,353 volunteer donors, including 1,406 African Americans, 1,306 Asians, and 945 Hispanics, whose stored erythrocytes were characterized by quantitative assays of in vitro osmotic, oxidative, and cold-storage hemolysis.ResultsGWAS revealed 27 significant loci (P < 5 × 10-8), many in candidate genes known to modulate erythrocyte structure, metabolism, and ion channels, including SPTA1, ALDH2, ANK1, HK1, MAPKAPK5, AQP1, PIEZO1, and SLC4A1/band 3. GWAS of oxidative hemolysis identified variants in genes encoding antioxidant enzymes, including GLRX, GPX4, G6PD, and SEC14L4 (Golgi-transport protein). Genome-wide significant loci were also tested for association with the severity of steady-state (baseline) in vivo hemolytic anemia in patients with sickle cell disease, with confirmation of identified SNPs in HBA2, G6PD, PIEZO1, AQP1, and SEC14L4.ConclusionsMany of the identified variants, such as those in G6PD, have previously been shown to impair erythrocyte recovery after transfusion, associate with anemia, or cause rare Mendelian human hemolytic diseases. Candidate SNPs in these genes, especially in polygenic combinations, may affect RBC recovery after transfusion and modulate disease severity in hemolytic diseases, such as sickle cell disease and malaria.
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Affiliation(s)
- Grier P Page
- Division of Biostatistics and Epidemiology, RTI International, Atlanta, Georgia, USA
| | - Tamir Kanias
- Vitalant Research Institute, Denver, Colorado, USA
| | - Yuelong J Guo
- Division of Biostatistics and Epidemiology, RTI International, Durham, North Carolina, USA
| | - Marion C Lanteri
- Vitalant Research Institute and the Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Xu Zhang
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Alan E Mast
- Blood Research Institute, Blood Center of Wisconsin, and Department of Cell Biology, Neurobiology and Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | | | | | - Joseph E Kiss
- Vitalant Northeast Division, Pittsburgh, Pennsylvania, USA
| | - Fang Fang
- Division of Biostatistics and Epidemiology, RTI International, Durham, North Carolina, USA
| | - Stacy M Endres-Dighe
- Division of Biostatistics and Epidemiology, RTI International, Rockville, Maryland, USA
| | - Donald Brambilla
- Division of Biostatistics and Epidemiology, RTI International, Rockville, Maryland, USA
| | - Mehdi Nouraie
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pennsylvania, USA
| | - Victor R Gordeuk
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Steve Kleinman
- University of British Columbia, Victoria, British Columbia, Canada
| | - Michael P Busch
- Vitalant Research Institute and the Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Mark T Gladwin
- Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
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Belachew AA, Wu X, Callender R, Waller R, Orlowski RZ, Vachon CM, Camp NJ, Ziv E, Hildebrandt MAT. Genetic determinants of multiple myeloma risk within the Wnt/beta-catenin signaling pathway. Cancer Epidemiol 2021; 73:101972. [PMID: 34216957 DOI: 10.1016/j.canep.2021.101972] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/17/2021] [Accepted: 06/20/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Aberrant Wnt/beta-catenin pathway activation is implicated in Multiple Myeloma (MM) development, but little is known if genetic variants within this pathway contribute to MM susceptibility. METHODS We performed a discovery candidate pathway analysis in 269 non-Hispanic white MM cases and 272 controls focusing on 171 variants selected from 26 core genes within the Wnt/beta-catenin pathway. Significant candidate variants (P < 0.05) were selected for validation in internal and external non-Hispanic white populations totaling 818 cases and 1209 controls. We also examined significant variants in non-Hispanic black and Hispanic case/control study populations to identify potential differences by race/ethnicity. Possible biological functions of candidate variants were predicted in silico. RESULTS Seven variants were significantly associated with MM risk in non-Hispanic whites in the discovery population, of which LRP6:rs7966410 (OR: 0.57; 95 % CI: 0.38-0.88; P = 9.90 × 10-3) and LRP6:rs7956971 (OR: 0.64; 95 % CI: 0.44-0.95; P = 0.027) remained significant in the internal and external populations. CSNK1D:rs9901910 replicated among all three racial/ethnic groups, with 2-6 fold increased risk of MM (OR: 2.40; 95 % CI: 1.67-3.45; P = 2.43 × 10-6 - non-Hispanic white; OR: 6.42; 95 % CI: 2.47-16.7; P = 3.14 × 10-4 - non-Hispanic black; OR: 4.31; 95 % CI: 1.83-10.1; P = 8.10 × 10-4 - Hispanic). BTRC:rs7916830 was associated with a significant 37 % and 24 % reduced risk of MM in the non-Hispanic white (95 % CI: 0.49-0.82; P = 5.60 × 10-4) and non-Hispanic Black (95 % CI: 0.60-0.97; P = 0.028) population, respectively. In silico tools predicted that these loci altered function through via gene regulation. CONCLUSION We identified several variants within the Wnt/beta-catenin pathway associated with MM susceptibility. Findings of this study highlight the potential genetic role of Wnt/beta-catenin signaling in MM etiology among a diverse patient population.
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Affiliation(s)
- Alem A Belachew
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rashida Callender
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Rosalie Waller
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, United States
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55902, United States
| | - Nicola J Camp
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, United States
| | - Elad Ziv
- Department of Medicine, Division of General Internal Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California-San Francisco, San Francisco, CA, 94143, United States
| | - Michelle A T Hildebrandt
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, United States.
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241
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Witte F, Ruiz-Orera J, Mattioli CC, Blachut S, Adami E, Schulz JF, Schneider-Lunitz V, Hummel O, Patone G, Mücke MB, Šilhavý J, Heinig M, Bottolo L, Sanchis D, Vingron M, Chekulaeva M, Pravenec M, Hubner N, van Heesch S. A trans locus causes a ribosomopathy in hypertrophic hearts that affects mRNA translation in a protein length-dependent fashion. Genome Biol 2021; 22:191. [PMID: 34183069 PMCID: PMC8240307 DOI: 10.1186/s13059-021-02397-w] [Citation(s) in RCA: 3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 06/02/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Little is known about the impact of trans-acting genetic variation on the rates with which proteins are synthesized by ribosomes. Here, we investigate the influence of such distant genetic loci on the efficiency of mRNA translation and define their contribution to the development of complex disease phenotypes within a panel of rat recombinant inbred lines. RESULTS We identify several tissue-specific master regulatory hotspots that each control the translation rates of multiple proteins. One of these loci is restricted to hypertrophic hearts, where it drives a translatome-wide and protein length-dependent change in translational efficiency, altering the stoichiometric translation rates of sarcomere proteins. Mechanistic dissection of this locus across multiple congenic lines points to a translation machinery defect, characterized by marked differences in polysome profiles and misregulation of the small nucleolar RNA SNORA48. Strikingly, from yeast to humans, we observe reproducible protein length-dependent shifts in translational efficiency as a conserved hallmark of translation machinery mutants, including those that cause ribosomopathies. Depending on the factor mutated, a pre-existing negative correlation between protein length and translation rates could either be enhanced or reduced, which we propose to result from mRNA-specific imbalances in canonical translation initiation and reinitiation rates. CONCLUSIONS We show that distant genetic control of mRNA translation is abundant in mammalian tissues, exemplified by a single genomic locus that triggers a translation-driven molecular mechanism. Our work illustrates the complexity through which genetic variation can drive phenotypic variability between individuals and thereby contribute to complex disease.
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Affiliation(s)
- Franziska Witte
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
- Present Address: NUVISAN ICB GmbH, Lead Discovery-Structrual Biology, 13353, Berlin, Germany
| | - Jorge Ruiz-Orera
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Camilla Ciolli Mattioli
- Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 10115, Berlin, Germany
- Present Address: Department of Biological Regulation, Weizmann Institute of Science, 7610001, Rehovot, Israel
| | - Susanne Blachut
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Eleonora Adami
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
- Present Address: Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore, Singapore, 169857, Singapore
| | - Jana Felicitas Schulz
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Valentin Schneider-Lunitz
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Oliver Hummel
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Giannino Patone
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
| | - Michael Benedikt Mücke
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
- Charité-Universitätsmedizin, 10117, Berlin, Germany
| | - Jan Šilhavý
- Institute of Physiology of the Czech Academy of Sciences, 4, 142 20, Praha, Czech Republic
| | - Matthias Heinig
- Institute of Computational Biology (ICB), HMGU, Ingolstaedter Landstr. 1, 85764 Neuherberg, Munich, Germany
- Department of Informatics, Technische Universitaet Muenchen (TUM), Boltzmannstr. 3, 85748 Garching, Munich, Germany
| | - Leonardo Bottolo
- Department of Medical Genetics, University of Cambridge, Cambridge, CB2 0QQ, UK
- The Alan Turing Institute, London, NW1 2DB, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Daniel Sanchis
- Institut de Recerca Biomedica de Lleida (IRBLLEIDA), Universitat de Lleida, Edifici Biomedicina-I. Av. Rovira Roure, 80, 25198, Lleida, Spain
| | - Martin Vingron
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany
| | - Marina Chekulaeva
- Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 10115, Berlin, Germany
| | - Michal Pravenec
- Institute of Physiology of the Czech Academy of Sciences, 4, 142 20, Praha, Czech Republic
| | - Norbert Hubner
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany.
- Charité-Universitätsmedizin, 10117, Berlin, Germany.
| | - Sebastiaan van Heesch
- Cardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), 13125, Berlin, Germany.
- Present Address: The Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.
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242
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Li Y, Yang W, Devidas M, Winter SS, Kesserwan C, Yang W, Dunsmore KP, Smith C, Qian M, Zhao X, Zhang R, Gastier-Foster JM, Raetz EA, Carroll WL, Li C, Liu PP, Rabin KR, Sanda T, Mullighan CG, Nichols KE, Evans WE, Pui CH, Hunger SP, Teachey DT, Relling MV, Loh ML, Yang JJ. Germline RUNX1 variation and predisposition to childhood acute lymphoblastic leukemia. J Clin Invest 2021; 131:147898. [PMID: 34166225 PMCID: PMC8409579 DOI: 10.1172/jci147898] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 06/22/2021] [Indexed: 12/31/2022] Open
Abstract
Genetic alterations in the RUNX1 gene are associated with benign and malignant blood disorders, particularly of megakaryocyte and myeloid lineages. The role of RUNX1 in acute lymphoblastic leukemia (ALL) is less clear, particularly how germline genetic variation influences the predisposition to this type of leukemia. Sequencing 4,836 children with B-ALL and 1,354 cases of T-ALL, we identified 31 and 18 germline RUNX1 variants, respectively. RUNX1 variants in B-ALL consistently showed minimal damaging effects. By contrast, 6 T-ALL-related variants result in drastic loss of RUNX1 activity as a transcription activator in vitro. Ectopic expression of dominant-negative RUNX1 variants in human CD34+ cells repressed differentiation into erythroid, megakaryocytes, and T cells, while promoting myeloid cell development. Chromatin immunoprecipitation sequencing of T-ALL models showed distinctive patterns of RUNX1 binding by variant proteins. Further whole genome sequencing identified JAK3 mutation as the most frequent somatic genomic abnormality in T-ALL with germline RUNX1 variants. Co-introduction of RUNX1 variant and JAK3 mutation in hematopoietic stem and progenitor cells in mice gave rise to T-ALL with early T-cell precursor phenotype. Taken together, these results indicated that RUNX1 is an important predisposition gene for T-ALL and pointed to novel biology of RUNX1-mediated leukemogenesis in the lymphoid lineages.
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Affiliation(s)
- Yizhen Li
- Department of Pharmaceutical Sciences and
| | | | - Meenakshi Devidas
- Department of Global Pediatric Medicine, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Stuart S. Winter
- Children’s Minnesota Research Institute, Children’s Minnesota, Minneapolis, Minnesota, USA
| | - Chimene Kesserwan
- Center for Cancer Research, Genetics Branch, National Cancer Institute, Bethesda, Maryland, USA
| | | | - Kimberly P. Dunsmore
- Children’s Hematology and Oncology, Carilion Clinic and Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA
| | | | - Maoxiang Qian
- Institute of Pediatrics and Department of Hematology and Oncology, Children’s Hospital of Fudan University, Institutes of Biomedical Sciences, Shanghai, China
| | - Xujie Zhao
- Department of Pharmaceutical Sciences and
| | | | | | - Elizabeth A. Raetz
- Division of Pediatric Hematology and Oncology, Perlmutter Cancer Center, New York University Langone Health, New York, New York, USA
| | - William L. Carroll
- Division of Pediatric Hematology and Oncology, Perlmutter Cancer Center, New York University Langone Health, New York, New York, USA
| | - Chunliang Li
- Tumor Cell Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Paul P. Liu
- Oncogenesis and Development Section, National Human Genome Research Institute, NIH, Bethesda, Maryland, USA
| | - Karen R. Rabin
- Texas Children’s Cancer and Hematology Centers, Baylor College of Medicine, Houston, Texas, USA
| | - Takaomi Sanda
- Cancer Science Institute of Singapore, and
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | | | - William E. Evans
- Department of Pharmaceutical Sciences and
- Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Ching-Hon Pui
- Department of Oncology, and
- Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Stephen P. Hunger
- Department of Pediatrics and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David T. Teachey
- Department of Pediatrics and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mary V. Relling
- Department of Pharmaceutical Sciences and
- Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Mignon L. Loh
- Department of Pediatrics, Benioff Children’s Hospital and the Helen Diller Family Comprehensive Cancer Center, UCSF, San Francisco, California, USA
| | - Jun J. Yang
- Department of Pharmaceutical Sciences and
- Department of Oncology, and
- Hematological Malignancies Program, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
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Matsushita K, Li X, Nakamura Y, Dong D, Mukai K, Tsai M, Montgomery SB, Galli SJ. The role of Sp140 revealed in IgE and mast cell responses in Collaborative Cross mice. JCI Insight 2021; 6:e146572. [PMID: 34156030 PMCID: PMC8262499 DOI: 10.1172/jci.insight.146572] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 05/12/2021] [Indexed: 12/20/2022] Open
Abstract
Mouse IgE and mast cell (MC) functions have been studied primarily using inbred strains. Here, we (a) identified effects of genetic background on mouse IgE and MC phenotypes, (b) defined the suitability of various strains for studying IgE and MC functions, and (c) began to study potentially novel genes involved in such functions. We screened 47 Collaborative Cross (CC) strains, as well as C57BL/6J and BALB/cJ mice, for strength of passive cutaneous anaphylaxis (PCA) and responses to the intestinal parasite Strongyloides venezuelensis (S.v.). CC mice exhibited a diversity in PCA strength and S.v. responses. Among strains tested, C57BL/6J and CC027 mice showed, respectively, moderate and uniquely potent MC activity. Quantitative trait locus analysis and RNA sequencing of BM-derived cultured MCs (BMCMCs) from CC027 mice suggested Sp140 as a candidate gene for MC activation. siRNA-mediated knock-down of Sp140 in BMCMCs decreased IgE-dependent histamine release and cytokine production. Our results demonstrated marked variations in IgE and MC activity in vivo, and in responses to S.v., across CC strains. C57BL/6J and CC027 represent useful models for studying MC functions. Additionally, we identified Sp140 as a gene that contributes to IgE-dependent MC activation.
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Affiliation(s)
- Kazufumi Matsushita
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Immunology, Hyogo College of Medicine, Nishinomiya, Japan
| | - Xin Li
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.,CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yuki Nakamura
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Danyue Dong
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kaori Mukai
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, California, USA
| | - Mindy Tsai
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, California, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Stephen J Galli
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.,Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, California, USA.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
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Rönkä N, Pakanen VM, Pauliny A, Thomson RL, Nuotio K, Pehlak H, Thorup O, Lehikoinen P, Rönkä A, Blomqvist D, Koivula K, Kvist L. Genetic differentiation in an endangered and strongly philopatric, migrant shorebird. BMC Ecol Evol 2021; 21:125. [PMID: 34147062 PMCID: PMC8214799 DOI: 10.1186/s12862-021-01855-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 06/08/2021] [Indexed: 11/24/2022] Open
Abstract
Background Populations living in fragmented habitats may suffer from loss of genetic variation and reduced between-patch dispersal, which are processes that can result in genetic differentiation. This occurs frequently in species with reduced mobility, whereas genetic differentiation is less common among mobile species such as migratory birds. The high dispersal capacity in the latter species usually allows for gene flow even in fragmented landscapes. However, strongly philopatric behaviour can reinforce relative isolation and the degree of genetic differentiation. The Southern Dunlin (Calidris alpina schinzii) is a philopatric, long-distance migratory shorebird and shows reduced dispersal between isolated breeding patches. The endangered population of the Southern Dunlin breeding at the Baltic Sea has suffered from habitat deterioration and fragmentation of coastal meadows. We sampled DNA across the entire population and used 12 polymorphic microsatellite loci to examine whether the environmental changes have resulted in genetic structuring and loss of variation. Results We found a pattern of isolation-by-distance across the whole Baltic population and genetic differentiation between local populations, even within the southern Baltic. Observed heterozygosity was lower than expected throughout the range and internal relatedness values were positive indicating inbreeding. Conclusions Our results provide long-term, empirical evidence for the theoretically expected links between habitat fragmentation, population subdivision, and gene flow. They also demonstrate a rare case of genetic differentiation between populations of a long-distance migratory species. The Baltic Southern Dunlin differs from many related shorebird species that show near panmixia, reflecting its philopatric life history and the reduced connectivity of its breeding patches. The results have important implications as they suggest that reduced connectivity of breeding habitats can threaten even long-distance migrants if they show strong philopatry during breeding. The Baltic Southern Dunlin warrants urgent conservation efforts that increase functional connectivity and gene flow between breeding areas. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01855-0.
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Affiliation(s)
- Nelli Rönkä
- Ecology and Genetics Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland
| | - Veli-Matti Pakanen
- Ecology and Genetics Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.,Department of Biological and Environmental Sciences, University of Gothenburg, P.O. Box 463, 405 30, Gothenburg, Sweden
| | - Angela Pauliny
- Department of Biological and Environmental Sciences, University of Gothenburg, P.O. Box 463, 405 30, Gothenburg, Sweden
| | - Robert L Thomson
- Section of Ecology, Department of Biology, University of Turku, 20014, Turku, Finland.,Percy FitzPatrick Institute of African Ornithology, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, 7701, South Africa
| | - Kimmo Nuotio
- Environmental Agency, Valtakatu 11, 28100, Pori, Finland
| | - Hannes Pehlak
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 5, 51014, Tartu, Estonia.,OÜ Xenus, Koguva, 94724, Muhu Island, Saare, Estonia
| | - Ole Thorup
- , V. Vedsted Byvej 32, Vester Vedsted, 6760, Ribe, Denmark
| | - Petteri Lehikoinen
- The Helsinki Lab of Ornithology, Finnish Museum of Natural History, University of Helsinki, 00014, Helsinki, Finland
| | - Antti Rönkä
- Ecology and Genetics Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland
| | - Donald Blomqvist
- Department of Biological and Environmental Sciences, University of Gothenburg, P.O. Box 463, 405 30, Gothenburg, Sweden.
| | - Kari Koivula
- Ecology and Genetics Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland
| | - Laura Kvist
- Ecology and Genetics Research Unit, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland
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245
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Makhaola K, Moyo S, Kebaabetswe LP. Next generation sequencing of near-full length genome of norovirus GII.4 from Botswana. Virus Res 2021; 302:198491. [PMID: 34147552 DOI: 10.1016/j.virusres.2021.198491] [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: 11/24/2020] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 10/21/2022]
Abstract
Noroviruses are highly diverse, with genotype GII.4 causing most epidemics. This study aimed to investigate the evolutionary dynamics of norovirus genogroup GII strains among acutely infected children under 5 years in Botswana, between 2016 and 2018. Reverse transcriptase polymerase chain reaction (RT-PCR) was used to amplify the whole norovirus genome, followed by next-generation sequencing using Oxford Nanopore technology. Twelve samples were successfully analyzed, with 11 identified as norovirus GII.4 Sydney [P31] and one as GII.4 Sydney [P13]. This study generated the first near-full length norovirus sequences in Botswana (93-95% coverage). Our results show that the norovirus GII.4 strains circulating in Botswana are under evolution through recombination and antigenic drift. Recombination in the GII.4 Sydney [P31] and GII.4 Sydney [P13] strains occurred in the ORF1/ORF2 junction and within ORF1, respectively. This study provides the first description of the GII.4 Sydney [P13] recombinant. Amino acid variation in the immunogenic sites was analyzed. Mutations in epitope A correlate with the emergence of novel norovirus GII.4 strains with altered antigenicity. In this study, we identified 43 unique amino acid substitutions in the VP1 region, with six occurring in epitopes, A (G295N, and E368Q) and E (S40T, N412D, N412K and T413H). The shell subdomain of the GII.4 Sydney [P13] variant was closely related to norovirus GII.17. Lastly, we also observed several mutations in the T cell restricted epitopes of both strains. Our study has made a novel contribution to understanding the evolution of norovirus GII.4 in Botswana.
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Affiliation(s)
- Kgomotso Makhaola
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Palapye, Botswana
| | - Sikhulile Moyo
- Botswana Harvard AIDS Institute Partnership, Gaborone, Botswana; Department of Immunology & Infectious Diseases, Harvard T.H. Chan School of Public Health, MA, Boston, United States
| | - Lemme P Kebaabetswe
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Palapye, Botswana.
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246
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Pathak AK, Husain N, Kant S, Bala L. Independent and Interactive Effect of CYPs and GSTs Genetic Variants and Tobacco Smoking on the Risk of Non-Small Cell Lung Carcinoma. Arch Med Res 2021; 52:719-730. [PMID: 34092421 DOI: 10.1016/j.arcmed.2021.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 03/05/2021] [Accepted: 05/03/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND CYP and GST gene families detoxify tobacco carcinogens and have been linked to the risk of non-small cell lung carcinoma (NSCLC). AIM Independent and combined effects of CYP and GST genetic variations and smoking on the risk of non-small cell lung carcinoma (NSCLC) and its sub-histological types. METHODS We modelled an epistatic interaction via the effects of particular genotypes in two genes as OR (odds ratio), OR1, and OR2, a combination of both genotypes were characterized as ORcombine. In contrast, the two ORs' epistatic interaction for the individual genotypes has been represented as ORinteraction = ORcombine/(OR1 × OR2). RESULTS The variant genotypes of CYP2A6 (OR:4.2, p <0.001), GSTT1 (OR:3.9, p <0.001), and GSTM1 (OR: 4.5, p <0.001) were showed a significant risk with NSCLC. GSTM1 (del.)/CYP2A6 (variant) genotype was associated with a higher risk of NSCLC (OR:12.5, p <0.001). GSTM1 (del.)/CYP2A6 (Ser/Pro+Pro/Pro) and GSTM1 (del.)/CYP2A13 (CT+TT) interacted redundantly (ORintraction = 0.66 and 0.64). A co-suppressive interaction was observed between GSTT1 (del.)/CYP2A6 (Ser/Pro+Pro/Pro) (ORintraction = 0.41). Simultaneously, both GSTT1/GSTM1 del. genotype was associated with a significantly higher risk to NSCLC. In contrast, GSTT1 del./GSTM1 del. genotype interaction displayed a co-suppressive effect (ORintraction = 0.15). CYP1A1(TC+CC)/CYP2A13(CT+TT)mutually interacted synergistically (ORintraction = 1.27).CYP1A1 (TC+CC)/GSTP1 (Val/Val+Ile/Val) genotype demonstrated an additive (ORintraction = 1) effect. GSTP1(Val/Val+Ile/Val) interacts with GSTT1 (del.) genotype exerted a suppressive effect (ORintraction = 0.69). CYP2A6 in smokers increased risk by 4.2 (p = 0.001) to 5.6 fold (p <0.001), while GSTM1 and GSTT1 were independent of smoking. CONCLUSION Epistatic interactions revealed that CYPs/GSTs might follow a web of the interactions to modify the risk of NSCLC.
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Affiliation(s)
- Anumesh K Pathak
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India
| | - Nuzhat Husain
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India.
| | - Surya Kant
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India
| | - Lakshmi Bala
- Department of Pathology and Molecular Pathology Lab., Dr. Ram Manohar Lohia Institute of Medical Sciences (Dr. RMLIMS), Lucknow 226010, India
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247
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Kondakova OA, Ivanov PA, Baranov OA, Ryabchevskaya EM, Arkhipenko MV, Skurat EV, Evtushenko EA, Nikitin NA, Karpova OV. Novel antigen panel for modern broad-spectrum recombinant rotavirus A vaccine. Clin Exp Vaccine Res 2021; 10:123-131. [PMID: 34222124 PMCID: PMC8217573 DOI: 10.7774/cevr.2021.10.2.123] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 11/17/2022] Open
Abstract
Purpose Recombinant rotavirus A vaccines are being developed as an alternative to existing live oral attenuated vaccines. One of the main problems in the production of such vaccines is the genetic diversity of the strains that are in circulation. The goal of this study was to create an antigen panel for modern broad-spectrum recombinant rotavirus A vaccine. Materials and Methods The antigens of rotavirus were cloned and expressed in Escherichia coli. Antigenic specificity was investigated by Western blot analysis, which was performed using commercial polyclonal antisera to several RVA strains. Phylogenetic analysis was based on the amino acid sequences of the VP8* protein fragment of human RVA isolates representing genotypes P[4], P[6], and P[8]. Results A universal panel of antigens was established, including consensus and conserved sequences of structural proteins VP8*, VP5*, and VP7, which are the main targets of neutralizing antibodies. For the first time, a consensus approach was used in the design of extended antigens based on VP8* (genotypes P[4], P[6], and P[8]) and VP5* (genotype P[8]) proteins' fragments. In addition, a gene coding the protein (ep-875) containing several copies of conserved short neutralizing epitopes of VP8*, VP7, and VP5* was created. Western blot analysis demonstrated that three synthetic VP8*-based antigens were not recognized by commercial antiserum against rotavirus strains isolated more than 35 years ago, but the specific activity of the VP5* and ep-875 antigens was confirmed. The problems of serological mismatch of vaccine strains and antigens with currently circulating strains are discussed. Conclusion Five antigens representing sequences of structural proteins belonging to different genotypes can be used in various combinations (from mono- to pentavalent mixtures) for the development of an effective broad-spectrum rotavirus vaccine.
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Affiliation(s)
- Olga A Kondakova
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Peter A Ivanov
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Oleg A Baranov
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Ekaterina M Ryabchevskaya
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Marina V Arkhipenko
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Eugene V Skurat
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Ekaterina A Evtushenko
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Nikolai A Nikitin
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
| | - Olga V Karpova
- Department of Virology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russian Federation
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248
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Doke T, Huang S, Qiu C, Liu H, Guan Y, Hu H, Ma Z, Wu J, Miao Z, Sheng X, Zhou J, Cao A, Li J, Kaufman L, Hung A, Brown CD, Pestell R, Susztak K. Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. J Clin Invest 2021; 131:141801. [PMID: 33998598 PMCID: PMC8121513 DOI: 10.1172/jci141801] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [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: 06/29/2020] [Accepted: 03/23/2021] [Indexed: 12/11/2022] Open
Abstract
Genome-wide association studies (GWAS) for kidney function identified hundreds of risk regions; however, the causal variants, target genes, cell types, and disease mechanisms remain poorly understood. Here, we performed transcriptome-wide association studies (TWAS), summary Mendelian randomization, and MetaXcan to identify genes whose expression mediates the genotype effect on the phenotype. Our analyses identified Dachshund homolog 1 (DACH1), a cell-fate determination factor. GWAS risk variant was associated with lower DACH1 expression in human kidney tubules. Human and mouse kidney single-cell open chromatin data (snATAC-Seq) prioritized estimated glomerular filtration rate (eGFR) GWAS variants located on an intronic regulatory region in distal convoluted tubule cells. CRISPR-Cas9-mediated gene editing confirmed the role of risk variants in regulating DACH1 expression. Mice with tubule-specific Dach1 deletion developed more severe renal fibrosis both in folic acid and diabetic kidney injury models. Mice with tubule-specific Dach1 overexpression were protected from folic acid nephropathy. Single-cell RNA sequencing, chromatin immunoprecipitation, and functional analysis indicated that DACH1 controls the expression of cell cycle and myeloid chemotactic factors, contributing to macrophage infiltration and fibrosis development. In summary, integration of GWAS, TWAS, single-cell epigenome, expression analyses, gene editing, and functional validation in different mouse kidney disease models identified DACH1 as a kidney disease risk gene.
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Affiliation(s)
- Tomohito Doke
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Shizheng Huang
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Chengxiang Qiu
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Hongbo Liu
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Yuting Guan
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Hailong Hu
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ziyuan Ma
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Junnan Wu
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Zhen Miao
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Xin Sheng
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jianfu Zhou
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Aili Cao
- Division of Nephrology, Icahn School of Medicine, New York, New York, USA
| | - Jianhua Li
- Division of Nephrology, Icahn School of Medicine, New York, New York, USA
| | - Lewis Kaufman
- Division of Nephrology, Icahn School of Medicine, New York, New York, USA
| | - Adriana Hung
- Division of Nephrology, Vanderbilt University, Nashville, Tennessee, USA
| | - Christopher D. Brown
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Richard Pestell
- Pennsylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Pennsylvania Biotechnology Center, Wynnewood, Pennsylvania, USA
- The Wistar Institute, Philadelphia, Pennsylvania, USA
| | - Katalin Susztak
- Department of Medicine, Renal Electrolyte and Hypertension Division, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Institute of Diabetes, Obesity and Metabolism and
- Department of Genetics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Kany S, Reissmann B, Metzner A, Kirchhof P, Darbar D, Schnabel RB. Genetics of atrial fibrillation-practical applications for clinical management: if not now, when and how? Cardiovasc Res 2021; 117:1718-1731. [PMID: 33982075 PMCID: PMC8208749 DOI: 10.1093/cvr/cvab153] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
The prevalence and economic burden of atrial fibrillation (AF) are predicted to more than double over the next few decades. In addition to anticoagulation and treatment of concomitant cardiovascular conditions, early and standardized rhythm control therapy reduces cardiovascular outcomes as compared with a rate control approach, favouring the restoration, and maintenance of sinus rhythm safely. Current therapies for rhythm control of AF include antiarrhythmic drugs (AADs) and catheter ablation (CA). However, response in an individual patient is highly variable with some remaining free of AF for long periods on antiarrhythmic therapy, while others require repeat AF ablation within weeks. The limited success of rhythm control therapy for AF is in part related to incomplete understanding of the pathophysiological mechanisms and our inability to predict responses in individual patients. Thus, a major knowledge gap is predicting which patients with AF are likely to respond to rhythm control approach. Over the last decade, tremendous progress has been made in defining the genetic architecture of AF with the identification of rare mutations in cardiac ion channels, signalling molecules, and myocardial structural proteins associated with familial (early-onset) AF. Conversely, genome-wide association studies have identified common variants at over 100 genetic loci and the development of polygenic risk scores has identified high-risk individuals. Although retrospective studies suggest that response to AADs and CA is modulated in part by common genetic variation, the development of a comprehensive clinical and genetic risk score may enable the translation of genetic data to the bedside care of AF patients. Given the economic impact of the AF epidemic, even small changes in therapeutic efficacy may lead to substantial improvements for patients and health care systems.
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Affiliation(s)
- Shinwan Kany
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
| | - Bruno Reissmann
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
| | - Andreas Metzner
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
| | - Paulus Kirchhof
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,The Institute of Cardiovascular Sciences, University of Birmingham, Edgbaston Birmingham B15 2TT, UK
| | - Dawood Darbar
- Division of Cardiology, Departments of Medicine, University of Illinois at Chicago and Jesse Brown Veterans Administration, 840 South Wood Street, Suite 928 M/C 715, Chicago, IL 60612, USA
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center, University Medical Center Hamburg Eppendorf, Martinistraße 52, 20251 Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Martinistraße 52, 20251 Hamburg, Hamburg, Germany
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250
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Meng F, He Y, Chen J, Long X, Wang H, Zhu M, Liu S, Cai Q, Zhang Z. Analysis of natural variation of the rice blast resistance gene Pike and identification of a novel allele Pikg. Mol Genet Genomics 2021; 296:939-52. [PMID: 33966102 DOI: 10.1007/s00438-021-01795-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 04/23/2021] [Indexed: 10/21/2022]
Abstract
Plant major resistance (R) genes are effective in detecting pathogen signal molecules and triggering robust defense responses. Investigating the natural variation in R genes will allow identification of the critical amino acid residues determining recognition specificity in R protein and the discovery of novel R alleles. The rice blast resistance gene Pike, comprising of two adjacent CC-NBS-LRR genes, namely, Pike-1 and Pike-2, confers broad-spectrum resistance to Magnaporthe oryzae. Here, we demonstrated that Pike-1 determined Pike-specific resistance through direct interaction with the pathogen signal molecule AvrPik. Analysis of natural variation in 79 Pike-1 variants in the Asian cultivated rice Oryza sativa and its wild relatives revealed that the CC and NBS regions, particularly the CC region of the Pike-1 protein were the most diversified. We also found that balancing selection had occurred in O. sativa and O. rufipogon to maintain the genetic diversity of the Pike-1 alleles. By analysis of amino acid sequences, we identified 40 Pike-1 variants in these rice germplasms. These variants were divided into three major groups that corresponded to their respective clades. A new Pike allele, designated Pikg, that differed from Pike by a single amino acid substitution (D229E) in the Pike-1 CC region of the Pike protein was identified from wild rice relatives. Pathogen assays of Pikg transgenic plants revealed a unique reaction pattern that was different from that of the previously identified Pike alleles, namely, Pik, Pikh, Pikm, Pikp, Piks and Pi1. These findings suggest that minor amino acid residues in Pike-1/Pikg-1 determine pathogen recognition specificity and plant resistance. As a new blast R gene derived from rice wild relatives, Pikg has potential applications in rice breeding.
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