Viral evolution and epidemiology

Katrin Leitmeyer, Rebeca Rico-Hesse

Research output: Contribution to journalArticle

Abstract

This review highlights recent research on viral evolution and its use towards understanding disease pathogenesis and epidemiology. The development of techniques such as enzymatic amplification of viral genomes and automated sequencing has led to a dramatic increase in the amount of sequence information from clinical samples. These sequences (RNA or DNA, or the amino acids they encode) have been compared by complex computer algorithms to generate evolutionary trees or phylogenies of natural virus variants, which can sometimes be used to correlate viral genotype with phenotype. Understanding the rates and types of evolution that occur during the transmission of viruses has considerable impact on the design of methods for the control of virus diseases.

Original languageEnglish (US)
Pages (from-to)367-371
Number of pages5
JournalCurrent Opinion in Infectious Diseases
Volume10
Issue number5
DOIs
StatePublished - 1997
Externally publishedYes

Fingerprint

Epidemiology
Viruses
Viral Genome
Virus Diseases
Phylogeny
Genotype
Phenotype
Amino Acids
Research

ASJC Scopus subject areas

  • Microbiology (medical)
  • Immunology

Cite this

Viral evolution and epidemiology. / Leitmeyer, Katrin; Rico-Hesse, Rebeca.

In: Current Opinion in Infectious Diseases, Vol. 10, No. 5, 1997, p. 367-371.

Research output: Contribution to journalArticle

Leitmeyer, Katrin ; Rico-Hesse, Rebeca. / Viral evolution and epidemiology. In: Current Opinion in Infectious Diseases. 1997 ; Vol. 10, No. 5. pp. 367-371.
@article{a5060730b1de4f1294eaf2ca9a9efff1,
title = "Viral evolution and epidemiology",
abstract = "This review highlights recent research on viral evolution and its use towards understanding disease pathogenesis and epidemiology. The development of techniques such as enzymatic amplification of viral genomes and automated sequencing has led to a dramatic increase in the amount of sequence information from clinical samples. These sequences (RNA or DNA, or the amino acids they encode) have been compared by complex computer algorithms to generate evolutionary trees or phylogenies of natural virus variants, which can sometimes be used to correlate viral genotype with phenotype. Understanding the rates and types of evolution that occur during the transmission of viruses has considerable impact on the design of methods for the control of virus diseases.",
author = "Katrin Leitmeyer and Rebeca Rico-Hesse",
year = "1997",
doi = "10.1097/00001432-199710000-00008",
language = "English (US)",
volume = "10",
pages = "367--371",
journal = "Current Opinion in Infectious Diseases",
issn = "0951-7375",
publisher = "Lippincott Williams and Wilkins",
number = "5",

}

TY - JOUR

T1 - Viral evolution and epidemiology

AU - Leitmeyer, Katrin

AU - Rico-Hesse, Rebeca

PY - 1997

Y1 - 1997

N2 - This review highlights recent research on viral evolution and its use towards understanding disease pathogenesis and epidemiology. The development of techniques such as enzymatic amplification of viral genomes and automated sequencing has led to a dramatic increase in the amount of sequence information from clinical samples. These sequences (RNA or DNA, or the amino acids they encode) have been compared by complex computer algorithms to generate evolutionary trees or phylogenies of natural virus variants, which can sometimes be used to correlate viral genotype with phenotype. Understanding the rates and types of evolution that occur during the transmission of viruses has considerable impact on the design of methods for the control of virus diseases.

AB - This review highlights recent research on viral evolution and its use towards understanding disease pathogenesis and epidemiology. The development of techniques such as enzymatic amplification of viral genomes and automated sequencing has led to a dramatic increase in the amount of sequence information from clinical samples. These sequences (RNA or DNA, or the amino acids they encode) have been compared by complex computer algorithms to generate evolutionary trees or phylogenies of natural virus variants, which can sometimes be used to correlate viral genotype with phenotype. Understanding the rates and types of evolution that occur during the transmission of viruses has considerable impact on the design of methods for the control of virus diseases.

UR - http://www.scopus.com/inward/record.url?scp=0030825157&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030825157&partnerID=8YFLogxK

U2 - 10.1097/00001432-199710000-00008

DO - 10.1097/00001432-199710000-00008

M3 - Article

AN - SCOPUS:0030825157

VL - 10

SP - 367

EP - 371

JO - Current Opinion in Infectious Diseases

JF - Current Opinion in Infectious Diseases

SN - 0951-7375

IS - 5

ER -