Walter M. Fitch
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Walter M. Fitch has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Andrey Rzhetsky
Department of Medicine, University of Chicago, Chicago, IL, USA
1 shared publication Ca Bender
1 shared publicationHoangMinh HoDac
Donald Bren School of Information and Computer Sciences, University of California, 444 Computer Science Building, Irvine, CA 92697
1 shared publication- Kanta Subbarao
Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity
1 shared publication - Michael M. Miyamoto
Department of Zoology, P.O. Box 118525, University of Florida, Gainesville, Florida 32611-8525, USA
1 shared publication Nj Cox
1 shared publication
Latest Publications
- 13 March 2007
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 104 (11) , 4473-4478
A statistical phylogeography of influenza A H5N1
The geographic diffusion of highly pathogenic influenza A H5N1 has largely been traced from the perspective of the virus's victims. Birds of a variety of avian orders have been sampled across localities, and their infection has been identified by a general genetic test. Another approach tracks the migration from the perspective of the virus alone, by way of a phylogeography of H5N1 genetic sequences. Although several phylogenies in the literature have labeled H5N1 clades by geographic region, none has analytically inferred the history of the virus's migration. With a statistical phylogeography of 192 hemagglutinin and neuraminidase isolates, we show that the Chinese province of Guangdong is the source of multiple H5N1 strains spreading at both regional and international scales. In contrast, Indochina appears to be a regional sink, at the same time demonstrating bidirectional dispersal among localities within the region. An evolutionary trace of HA1across the phylogeography suggests a mechanism by which H5N1 is able to infect repeated cycles of host species across localities, regardless of the host species first infected in each locale. The trace also hypothesizes amino acid replacements that preceded the first recorded outbreak of pathogenic H5N1 in Hong Kong, 1997.
- 13 March 2007
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 104 (11) , 4473-4478
A statistical phylogeography of influenza A H5N1
The geographic diffusion of highly pathogenic influenza A H5N1 has largely been traced from the perspective of the virus's victims. Birds of a variety of avian orders have been sampled across localities, and their infection has been identified by a general genetic test. Another approach tracks the migration from the perspective of the virus alone, by way of a phylogeography of H5N1 genetic sequences. Although several phylogenies in the literature have labeled H5N1 clades by geographic region, none has analytically inferred the history of the virus's migration. With a statistical phylogeography of 192 hemagglutinin and neuraminidase isolates, we show that the Chinese province of Guangdong is the source of multiple H5N1 strains spreading at both regional and international scales. In contrast, Indochina appears to be a regional sink, at the same time demonstrating bidirectional dispersal among localities within the region. An evolutionary trace of HA1across the phylogeography suggests a mechanism by which H5N1 is able to infect repeated cycles of host species across localities, regardless of the host species first infected in each locale. The trace also hypothesizes amino acid replacements that preceded the first recorded outbreak of pathogenic H5N1 in Hong Kong, 1997.
- Open Access
- 12 January 2005
- Published by Oxford University Press (OUP) in Molecular Biology and Evolution
- Vol. 22 (4) , 905-913
Listening to Viral Tongues: Comparing Viral Trees Using a Stochastic Context-Free Grammar
We suggest a probabilistic method for comparing the topological features of large phylogenetic trees. Using this method, we demonstrate that a stochastic grammar can generate three influenza-subtype (A H1, A H3, and B) hemagglutinin trees used in an earlier study, with statistically similar parameters. The proposed methodology is applicable to a broad class of problems that require comparison of the topological properties of various dendrograms.
- 12 January 2005
- Published by Oxford University Press (OUP) in Molecular Biology and Evolution
- Vol. 22 (4) , 905-913
Open AccessListening to Viral Tongues: Comparing Viral Trees Using a Stochastic Context-Free Grammar
We suggest a probabilistic method for comparing the topological features of large phylogenetic trees. Using this method, we demonstrate that a stochastic grammar can generate three influenza-subtype (A H1, A H3, and B) hemagglutinin trees used in an earlier study, with statistically similar parameters. The proposed methodology is applicable to a broad class of problems that require comparison of the topological properties of various dendrograms.
- Open Access
- 1 May 2000
- Published by Oxford University Press (OUP) in Journal of Heredity
- Vol. 91 (3) , 183-185
The Wilhelmine E Key 1999 invitational lecture. Predicting the evolution of human influenza A
We studied the evolution of the HA1 domain of the H3 hemagglutinin gene from human influenza virus type A. The phylogeny of these genes showed a single dominant lineage persisting over time. We tested the hypothesis that the progenitors of this single evolutionarily successful lineage were viruses carrying mutations at codons at which prior mutations had helped the virus to avoid human immune surveillance. We found evidence that eighteen hemagglutinin codons appeared to have been under positive selection to change the amino acid they encoded in the past. Retrospective tests show that viral lineages undergoing the greatest number of mutations in the positively selected codons were the progenitors of future H3 lineages in nine of eleven recent influenza seasons. Codons under positive selection were associated with antibody combining sites A or B or the sialic acid receptor binding site. However, not all codons in these sites had predictive value. Monitoring new H3 isolates for additional changes in positively selected codons might help identify the most fit extant viral strains that arise during antigenic drift.
- 1 May 2000
- Published by Oxford University Press (OUP) in Journal of Heredity
- Vol. 91 (3) , 183-185
Open AccessThe Wilhelmine E Key 1999 invitational lecture. Predicting the evolution of human influenza A
We studied the evolution of the HA1 domain of the H3 hemagglutinin gene from human influenza virus type A. The phylogeny of these genes showed a single dominant lineage persisting over time. We tested the hypothesis that the progenitors of this single evolutionarily successful lineage were viruses carrying mutations at codons at which prior mutations had helped the virus to avoid human immune surveillance. We found evidence that eighteen hemagglutinin codons appeared to have been under positive selection to change the amino acid they encoded in the past. Retrospective tests show that viral lineages undergoing the greatest number of mutations in the positively selected codons were the progenitors of future H3 lineages in nine of eleven recent influenza seasons. Codons under positive selection were associated with antibody combining sites A or B or the sialic acid receptor binding site. However, not all codons in these sites had predictive value. Monitoring new H3 isolates for additional changes in positively selected codons might help identify the most fit extant viral strains that arise during antigenic drift.
- Open Access
- 1 December 1996
- Published by JSTOR in Systematic Biology
- Vol. 45 (4) , 568-575
Constraints on Protein Evolution and the Age of the Eubacteria/Eukaryote Split
Michael M. Miyamoto, Walter M. Fitch, David Cannatella; Constraints on Protein Evolution and the Age of the Eubacteria/Eukaryote Split, Systematic Biology, Volu
- 1 December 1996
- Published by JSTOR in Systematic Biology
- Vol. 45 (4) , 568-575
Open AccessConstraints on Protein Evolution and the Age of the Eubacteria/Eukaryote Split
Michael M. Miyamoto, Walter M. Fitch, David Cannatella; Constraints on Protein Evolution and the Age of the Eubacteria/Eukaryote Split, Systematic Biology, Volu