Literature DB >> 11734899

Hepatitis C virus evolutionary patterns studied through analysis of full-genome sequences.

Marco Salemi1, Anne-Mieke Vandamme.   

Abstract

The evolutionary patterns of hepatitis C virus (HCV), including the best-fitting nucleotide substitution model and the molecular clock hypothesis, were investigated by analyzing full-genome sequences available in the HCV database. The likelihood ratio test allowed us to discriminate among different evolutionary hypotheses. The phylogeny of the six major HCV types was accurately inferred, and the final tree was rooted by reconstructing the hypothetical HCV common ancestor with the maximum likelihood method. The presence of phylogenetic noise and the relative nucleotide substitution rates in the different HCV genes were also examined. These results offer a general guideline for the future of HCV phylogenetic analysis and also provide important insights on HCV origin and evolution.

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Year:  2002        PMID: 11734899     DOI: 10.1007/s00239-001-0018-9

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  30 in total

1.  Detecting selection in noncoding regions of nucleotide sequences.

Authors:  Wendy S W Wong; Rasmus Nielsen
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

2.  Impact of Preexisting Hepatitis C Virus Genotype 6 NS3, NS5A, and NS5B Polymorphisms on the In Vitro Potency of Direct-Acting Antiviral Agents.

Authors:  Fiona McPhee; Joseph Ueland; Vincent Vellucci; Scott Bowden; William Sievert; Nannan Zhou
Journal:  Antimicrob Agents Chemother       Date:  2019-03-27       Impact factor: 5.191

3.  Unexpected maintenance of hepatitis C viral diversity following liver transplantation.

Authors:  Rebecca R Gray; Samantha L Strickland; Nazle M Veras; Maureen M Goodenow; Oliver G Pybus; Stanley M Lemon; Michael W Fried; David R Nelson; Marco Salemi
Journal:  J Virol       Date:  2012-05-23       Impact factor: 5.103

4.  Wide range of quasispecies diversity during primary hepatitis C virus infection.

Authors:  Belinda L Herring; Rose Tsui; Lorraine Peddada; Michael Busch; Eric L Delwart
Journal:  J Virol       Date:  2005-04       Impact factor: 5.103

5.  A comparison of the molecular clock of hepatitis C virus in the United States and Japan predicts that hepatocellular carcinoma incidence in the United States will increase over the next two decades.

Authors:  Yasuhito Tanaka; Kousuke Hanada; Masashi Mizokami; Anthony E T Yeo; J Wai-Kuo Shih; Takashi Gojobori; Harvey J Alter
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-18       Impact factor: 11.205

6.  Genotyping hepatitis C viruses from Southeast Asia by a novel line probe assay that simultaneously detects core and 5' untranslated regions.

Authors:  Suwanna Noppornpanth; Erwin Sablon; Kathy De Nys; Xuan Lien Truong; Jan Brouwer; Marianne Van Brussel; Saskia L Smits; Yong Poovorawan; Albert D M E Osterhaus; Bart L Haagmans
Journal:  J Clin Microbiol       Date:  2006-09-06       Impact factor: 5.948

7.  The evolution of the major hepatitis C genotypes correlates with clinical response to interferon therapy.

Authors:  Phillip S Pang; Paul J Planet; Jeffrey S Glenn
Journal:  PLoS One       Date:  2009-08-11       Impact factor: 3.240

8.  Hepatitis C virus (HCV) genotype 1 subtype identification in new HCV drug development and future clinical practice.

Authors:  Stéphane Chevaliez; Magali Bouvier-Alias; Rozenn Brillet; Jean-Michel Pawlotsky
Journal:  PLoS One       Date:  2009-12-08       Impact factor: 3.240

9.  Nine additional complete genome sequences of HCV genotype 6 from Vietnam including new subtypes 6xb and 6xc.

Authors:  Chunhua Li; Van H Pham; Kenji Abe; Ling Lu
Journal:  Virology       Date:  2014-08-30       Impact factor: 3.616

10.  High prevalence of hepatitis C virus genotype 1b infection in a small town of Argentina. Phylogenetic and Bayesian coalescent analysis.

Authors:  Marcelo D Golemba; Federico A Di Lello; Fernando Bessone; Fabian Fay; Silvina Benetti; Leandro R Jones; Rodolfo H Campos
Journal:  PLoS One       Date:  2010-01-18       Impact factor: 3.240

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