Literature DB >> 18621679

Coordinated evolution of the hepatitis C virus.

D S Campo1, Z Dimitrova, R J Mitchell, J Lara, Y Khudyakov.   

Abstract

Hepatitis C virus is a genetically heterogeneous RNA virus that is a major cause of liver disease worldwide. Here, we show that, despite its extensive heterogeneity, the evolution of hepatitis C virus is primarily shaped by negative selection and that numerous coordinated substitutions in the polyprotein can be organized into a scale-free network whose degree of connections between sites follows a power-law distribution. This network shares all major properties with many complex biological and technological networks. The topological structure and hierarchical organization of this network suggest that a small number of amino acid sites exert extensive impact on hepatitis C virus evolution. Nonstructural proteins are enriched for negatively selected sites of high centrality, whereas structural proteins are enriched for positively selected sites located in the periphery of the network. The complex network of coordinated substitutions is an emergent property of genetic systems with implications for evolution, vaccine research, and drug development. In addition to such properties as polymorphism or strength of selection, the epistatic connectivity mapped in the network is important for typing individual sites, proteins, or entire genetic systems. The network topology may help devise molecular intervention strategies for disrupting viral functions or impeding compensatory changes for vaccine escape or drug resistance mutations. Also, it may be used to find new therapeutic targets, as suggested in this study for the NS4A protein, which plays an important role in the network.

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Year:  2008        PMID: 18621679      PMCID: PMC2474538          DOI: 10.1073/pnas.0801774105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  A method for detecting positive selection at single amino acid sites.

Authors:  Y Suzuki; T Gojobori
Journal:  Mol Biol Evol       Date:  1999-10       Impact factor: 16.240

3.  Solving the protein sequence metric problem.

Authors:  William R Atchley; Jieping Zhao; Andrew D Fernandes; Tanja Drüke
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-25       Impact factor: 11.205

4.  Long-term evolution of the hypervariable region of hepatitis C virus in a common-source-infected cohort.

Authors:  J McAllister; C Casino; F Davidson; J Power; E Lawlor; P L Yap; P Simmonds; D B Smith
Journal:  J Virol       Date:  1998-06       Impact factor: 5.103

5.  Evidence for positive epistasis in HIV-1.

Authors:  Sebastian Bonhoeffer; Colombe Chappey; Neil T Parkin; Jeanette M Whitcomb; Christos J Petropoulos
Journal:  Science       Date:  2004-11-26       Impact factor: 47.728

Review 6.  Adaptive immune responses in acute and chronic hepatitis C virus infection.

Authors:  David G Bowen; Christopher M Walker
Journal:  Nature       Date:  2005-08-18       Impact factor: 49.962

7.  Both NS3 and NS4A are required for proteolytic processing of hepatitis C virus nonstructural proteins.

Authors:  C Failla; L Tomei; R De Francesco
Journal:  J Virol       Date:  1994-06       Impact factor: 5.103

8.  Mutational patterns and correlated amino acid substitutions in the HIV-1 protease after virological failure to nelfinavir- and lopinavir/ritonavir-based treatments.

Authors:  César Garriga; María Jesús Pérez-Elías; Rafael Delgado; Lidia Ruiz; Rafael Nájera; Tomàs Pumarola; María del Mar Alonso-Socas; Silvia García-Bujalance; Luis Menéndez-Arias
Journal:  J Med Virol       Date:  2007-11       Impact factor: 2.327

9.  Phosphorylation of hepatitis C virus-encoded nonstructural protein NS5A.

Authors:  Y Tanji; T Kaneko; S Satoh; K Shimotohno
Journal:  J Virol       Date:  1995-07       Impact factor: 5.103

10.  The C terminus of hepatitis C virus NS4A encodes an electrostatic switch that regulates NS5A hyperphosphorylation and viral replication.

Authors:  Brett D Lindenbach; Béla M Prágai; Roland Montserret; Rudolf K F Beran; Anna M Pyle; François Penin; Charles M Rice
Journal:  J Virol       Date:  2007-06-20       Impact factor: 5.103

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  30 in total

1.  Genome-wide networks of amino acid covariances are common among viruses.

Authors:  Maureen J Donlin; Brandon Szeto; David W Gohara; Rajeev Aurora; John E Tavis
Journal:  J Virol       Date:  2012-01-11       Impact factor: 5.103

2.  Level of gene expression is a major determinant of protein evolution in the viral order Mononegavirales.

Authors:  Israel Pagán; Edward C Holmes; Etienne Simon-Loriere
Journal:  J Virol       Date:  2012-02-15       Impact factor: 5.103

3.  Machine learning can accelerate discovery and application of cyber-molecular cancer diagnostics.

Authors:  David S Campo; Yury Khudyakov
Journal:  J Med Artif Intell       Date:  2020-03

4.  The acidic domain of hepatitis C virus NS4A contributes to RNA replication and virus particle assembly.

Authors:  Tung Phan; Andrew Kohlway; Peniel Dimberu; Anna Marie Pyle; Brett D Lindenbach
Journal:  J Virol       Date:  2010-11-03       Impact factor: 5.103

5.  Statistical linkage analysis of substitutions in patient-derived sequences of genotype 1a hepatitis C virus nonstructural protein 3 exposes targets for immunogen design.

Authors:  Ahmed A Quadeer; Raymond H Y Louie; Karthik Shekhar; Arup K Chakraborty; I-Ming Hsing; Matthew R McKay
Journal:  J Virol       Date:  2014-04-23       Impact factor: 5.103

6.  Coordinated rates of evolution between interacting plastid and nuclear genes in Geraniaceae.

Authors:  Jin Zhang; Tracey A Ruhlman; Jamal Sabir; J Chris Blazier; Robert K Jansen
Journal:  Plant Cell       Date:  2015-02-27       Impact factor: 11.277

Review 7.  Epistatic connectivity among HCV genomic sites as a genetic marker of interferon resistance.

Authors:  James Lara; Yury Khudyakov
Journal:  Antivir Ther       Date:  2012-12-07

8.  Effect of immune pressure on hepatitis C virus evolution: insights from a single-source outbreak.

Authors:  Shahzma Merani; Danijela Petrovic; Ian James; Abha Chopra; Don Cooper; Elizabeth Freitas; Andri Rauch; Julia di Iulio; Mina John; Michaela Lucas; Karen Fitzmaurice; Susan McKiernan; Suzanne Norris; Dermot Kelleher; Paul Klenerman; Silvana Gaudieri
Journal:  Hepatology       Date:  2011-01-18       Impact factor: 17.425

9.  Predicting response to hepatitis C therapy.

Authors:  Thomas S Oh; Charles M Rice
Journal:  J Clin Invest       Date:  2009-01       Impact factor: 14.808

10.  Genome-wide hepatitis C virus amino acid covariance networks can predict response to antiviral therapy in humans.

Authors:  Rajeev Aurora; Maureen J Donlin; Nathan A Cannon; John E Tavis
Journal:  J Clin Invest       Date:  2008-12-22       Impact factor: 14.808

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