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The Wilke lab carries out research in computational evolutionary biology, bioinformatics, and biostatistics. All our research is theoretical or computational, but we frequently collaborate with experimental groups. Much of our research focuses on molecular evolution, in particular on (i) the evolution of viruses and (ii) biophysical mechanisms of protein evolution. Other areas of interest are theoretical population genetics, epidemiology, and immunology.
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To see what we are currently working on, check out our recent [[Wilke:Publications|publications]]. Interested in joining? [[Wilke:Positions|Click here.]]
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<b><font size="2" color=#ffffff>The Wilke lab carries out research in computational evolutionary biology, bioinformatics, and biostatistics. All our research is theoretical or computational, but we frequently collaborate with experimental groups. Much of our research focuses on molecular evolution, in particular on (i) the evolution of viruses and (ii) biophysical mechanisms of protein evolution. Other areas of interest are theoretical population genetics, epidemiology, and immunology.
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To see what we are currently working on, check out our recent [[Wilke:Publications|publications]]. Interested in joining? [[Wilke:Positions|Click here.]]</font></b>
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= Recent News =
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== 04/01/2012—Matthew Tien wins NSF Graduate Research Fellowship ==
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<font size="5"><b> Recent News </b> </font>
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 +
<br>
 +
 
 +
<font size="4">2006 MBE paper designated as Citation Classic</font>
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 +
<font size="2"> Posted on 11/29/2012 </font>
 +
 
 +
The journal Molecular Biology and Evolution (MBE) released [http://mbe.oxfordjournals.org/content/early/2012/11/20/molbev.mss245.full.html a list of citation classics], past MBE papers that have been highly cited over the years. Among these papers is a paper by the Wilke lab: Drummond et al. (2006); A single determinant dominates the rate of yeast protein evolution; [http://dx.doi.org/10.1093/molbev/msj038 Mol. Biol. Evol. 23:327-337.] This paper is the only MBE paper published in 2006 that was awarded this status. As of today, the paper has been cited 179 times, or 26 times per year, according to the ISI Web of Science.
-
[[Image:Wilke_newsicon_04012012.jpg|left|150px]]Matthew Tien, an undergraduate researcher currently working in the Wilke lab, has been awarded an NSF Graduate Research Fellowship in this year's competition. For his graduate work, Matthew will be joining [http://drummond.openwetware.org/ Allan Drummond's laboratory] at the University of Chicago. Matthew plans to use mass spectrometry to investigate the world of mistranslated and misfolded proteins.
 
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== 04/22/2011—Contact networks shape parasite evolutionary trees ==
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<br>
 +
 
 +
<font size="4">A Structural Perspective on Protein Sequence Evolution</font>
 +
 +
<font size="2"> Posted on 09/12/2012 </font>
-
[[Image:Wilke_newsicon_04222011.png|left|150px]]The inference of population dynamics (such as the number of infected individuals as a function of time) from molecular sequence data is becoming an important new method for the surveillance of infectious diseases. We have examined how heterogeneity in host contacts shapes the genealogies of parasitic agents. We find that contact heterogeneity can have a strong effect on how the structure of genealogies reflects epidemiologically relevant quantities such as the proportion of a population that is infected. Contact heterogeneity also can increase the number of sequence isolates required to estimate these quantities over the course of an epidemic. Our results suggest that data about contact-network structure will be required in addition to sequence data for accurate estimation of a parasitic agent's genealogy. This work is published in a special issue of the journal Perspectives on Infectious Diseases focused on [http://www.hindawi.com/journals/ipid/2011/238743/ network perspectives on infectious disease dynamics].
+
Today, the Wilke lab has published two studies on the selective pressures that protein structure exerts on evolving genetic sequences.  [http://www.biomedcentral.com/1471-2148/12/179/abstract The first,] published in BMC Evol. Biol., looks at broad evolutionary trends in yeast. This study shows that evolutionary rate varies linearly with relative solvent accessibility of residues (RSA, a measure for how close to the surface or the core of the protein a residue is located). Hence, more exposed residues evolve faster than more buried residues. [http://mbe.oxfordjournals.org/content/early/2012/09/12/molbev.mss217 The second study], published in Mol. Biol. Evol., uses the insight gained from the first to identify individual sites in viral protein that evolve more rapidly or more slowly than expected given their RSA. When applied to two proteins of the influenza virus, hemagglutinin and neuraminidase, this method identified sites involved in cell entry, antibody binding, and drug resistance.  
{{-}}
{{-}}
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== 03/04/2010—Universal trend of reduced RNA stability near translation-initiation site ==
+
<br>
-
[[Image:Wilke_newsicon_03042010.png|left|150px]] In an analysis of 340 complete genomes from bacteria, archaea, and eukaryotes including fungi, plants, insects, fish, birds, and mammals, we have found a universal trend for reduced RNA stability near the translation-initiation site. With few exceptions, the secondary structure of mRNAs is less stable than expected in the first 30-50 nucleotides downstream from the start codon, but is more stable than expected further downstream. The effect is strongly correlated with genomic GC content — the higher GC the stronger the destabilization effect — and, in prokaryotes, with growth temperature — the lower the optimal growth temperature, the stronger the destabilization effect. These observations are consistent with a thermodynamic hypothesis that stable RNA secondary structure near the start codon can interfere with efficient translation initiation. This work is published in the February issue of [http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000664 PLoS Computational Biology.]
+
<font size="4">Bringing Molecules Back into Molecular Evolution</font>
 +
 
 +
<font size="2"> Posted on 06/28/2012 </font>
 +
 
 +
In the latest issue of the journal PLoS Computational Biology, Claus Wilke [http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002572 reviews] the growing trend in the field of molecular evolution to incorporate molecular structure and function into computational work. This review is part of the popular [http://www.ploscollections.org/article/browseIssue.action?issue=info%3Adoi%2F10.1371%2Fissue.pcol.v03.i08 Editor's Outlook series] of the journal, where PLoS Computational Biology editors take stock of what computational biology has achieved to date and what it can hope to achieve in the near future.  
{{-}}
{{-}}
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== 02/24/2010—NSF funds BEACON, a Science and Technology Center in Evolutionary Biology ==
+
<br>
-
[[Image:Wilke_newsicon_02242010.png|left|150px]] The Wilke lab is part of a $25 million, multi-university center that will study evolution in action in natural and artificial settings. The center is called BEACON, "Bio/computational Evolution in Action CONsortium." It will be headquartered at Michigan State University. Other participating universities are The University of Texas at Austin, the University of Washington, the University of Idaho and North Carolina A&T State University.
+
<font size="4">Matthew Tien wins NSF Graduate Research Fellowship</font>
 +
 
 +
<font size="2"> Posted on 04/01/2012 </font>
 +
 
 +
Matthew Tien, an undergraduate researcher currently working in the Wilke lab, has been awarded an NSF Graduate Research Fellowship in this year's competition. For his graduate work, Matthew will be joining [http://drummond.openwetware.org/ Allan Drummond's laboratory] at the University of Chicago. Matthew plans to use mass spectrometry to investigate the world of mistranslated and misfolded proteins.
 +
{{-}}
 +
 
 +
<br>
 +
 
 +
<font size="4">Contact networks shape parasite evolutionary trees</font>
 +
 
 +
<font size="2"> Posted on 04/22/2011 </font>
 +
 
 +
The inference of population dynamics (such as the number of infected individuals as a function of time) from molecular sequence data is becoming an important new method for the surveillance of infectious diseases. We have examined how heterogeneity in host contacts shapes the genealogies of parasitic agents. We find that contact heterogeneity can have a strong effect on how the structure of genealogies reflects epidemiologically relevant quantities such as the proportion of a population that is infected. Contact heterogeneity also can increase the number of sequence isolates required to estimate these quantities over the course of an epidemic. Our results suggest that data about contact-network structure will be required in addition to sequence data for accurate estimation of a parasitic agent's genealogy. This work is published in a special issue of the journal Perspectives on Infectious Diseases focused on [http://www.hindawi.com/journals/ipid/2011/238743/ network perspectives on infectious disease dynamics].
 +
{{-}}
 +
 
 +
<br>
 +
 
 +
<font size="4">Universal trend of reduced RNA stability near translation-initiation site</font>
 +
 
 +
<font size="2"> Posted on 03/04/2010 </font>
 +
 
 +
In an analysis of 340 complete genomes from bacteria, archaea, and eukaryotes including fungi, plants, insects, fish, birds, and mammals, we have found a universal trend for reduced RNA stability near the translation-initiation site. With few exceptions, the secondary structure of mRNAs is less stable than expected in the first 30-50 nucleotides downstream from the start codon, but is more stable than expected further downstream. The effect is strongly correlated with genomic GC content — the higher GC the stronger the destabilization effect — and, in prokaryotes, with growth temperature — the lower the optimal growth temperature, the stronger the destabilization effect. These observations are consistent with a thermodynamic hypothesis that stable RNA secondary structure near the start codon can interfere with efficient translation initiation. This work is published in the February issue of [http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000664 PLoS Computational Biology.]
 +
{{-}}
 +
 
 +
<br>
 +
 
 +
<font size="4">NSF funds BEACON, a Science and Technology Center in Evolutionary Biology</font>
 +
 
 +
<font size="2"> Posted on 02/24/2010 </font>
 +
 
 +
The Wilke lab is part of a $25 million, multi-university center that will study evolution in action in natural and artificial settings. The center is called BEACON, "Bio/computational Evolution in Action CONsortium." It will be headquartered at Michigan State University. Other participating universities are The University of Texas at Austin, the University of Washington, the University of Idaho and North Carolina A&T State University.
Read the UT press release [http://www.utexas.edu/news/2010/02/23/partner_in_evolution/ here,] or go to the BEACON web-site [http://beacon.msu.edu here.]  
Read the UT press release [http://www.utexas.edu/news/2010/02/23/partner_in_evolution/ here,] or go to the BEACON web-site [http://beacon.msu.edu here.]  
{{-}}
{{-}}
-
== 01/05/2010—New York Times article on lethal mutagenesis ==
+
<br>
-
[[Image:Wilke_newsicon_01052010.png|left|150px]] In today's issue of the New York Times, Carl Zimmer discusses the prospects and challenges of [http://www.nytimes.com/2010/01/05/science/05lethal.html combating viruses with lethal mutagenesis]. The article features some of the work done in the Wilke lab as well as work done by our colleagues and collaborators in the Bull lab.
+
<font size="4">New York Times article on lethal mutagenesis</font>
 +
 
 +
<font size="2"> Posted on 01/05/2010 </font>
 +
 
 +
In today's issue of the New York Times, Carl Zimmer discusses the prospects and challenges of [http://www.nytimes.com/2010/01/05/science/05lethal.html combating viruses with lethal mutagenesis]. The article features some of the work done in the Wilke lab as well as work done by our colleagues and collaborators in the Bull lab.
{{-}}
{{-}}
-
== 09/16/2009—Novel source of HIV-1 viremia in patients on HAART ==
+
<br>
-
[[Image:Wilke_newsicon_09162009.png|left|150px]] Even though highly active antiretroviral therapy (HAART) can reduce HIV-1 virus load to clinically undetectable levels, the virus never completely disappears and ultrasensitive assays can detect small quantities of virus in all patients on HAART. The exact origin of this virus is unknown. Many researchers assume that it is produced by latently infected CD4+ T cells that reactivate. [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2738142 We analyzed] HIV-1 sequences isolated from resting CD4+ T cells, activated CD4+ T cells, and blood plasma using a population-genetics approach. Our analysis showed that sequences from resting and activated CD4+ T cells formed a single population, whereas some of the virus in the blood plasma seemed genetically distinct from the virus in CD4+ T cells. This result shows that circulating CD4+ T cells are not the only source of residual viremia, and it suggests that a novel cellular source may contribute significantly to ongoing virus production under HAART. This research was featured by [http://www.sciencedaily.com/releases/2009/08/090825082656.htm Science Daily].
+
<font size="4">Novel source of HIV-1 viremia in patients on HAART</font>
 +
 
 +
<font size="2"> Posted on 09/16/2009 </font>
 +
 
 +
Even though highly active antiretroviral therapy (HAART) can reduce HIV-1 virus load to clinically undetectable levels, the virus never completely disappears and ultrasensitive assays can detect small quantities of virus in all patients on HAART. The exact origin of this virus is unknown. Many researchers assume that it is produced by latently infected CD4+ T cells that reactivate. [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2738142 We analyzed] HIV-1 sequences isolated from resting CD4+ T cells, activated CD4+ T cells, and blood plasma using a population-genetics approach. Our analysis showed that sequences from resting and activated CD4+ T cells formed a single population, whereas some of the virus in the blood plasma seemed genetically distinct from the virus in CD4+ T cells. This result shows that circulating CD4+ T cells are not the only source of residual viremia, and it suggests that a novel cellular source may contribute significantly to ongoing virus production under HAART. This research was featured by [http://www.sciencedaily.com/releases/2009/08/090825082656.htm Science Daily].
{{-}}
{{-}}
-
== 06/15/2009—Translational-accuracy selection protects buried and structurally important sites==
+
<br>
-
[[Image:Wilke_newsicon_06152009.png|left|150px]] In 1994, Akashi proposed that translationally optimal codons, codons that are translated with relatively low error rate, should preferentially be located at important sites in coding sequences. This signal would be the consequence of translational-accuracy selection, i.e., selection to minimize the amount of non-functional or misfolded protein produced by translation errors. Traditionally, the importance of a site under Akashi's test has been assessed by evolutionary conservation. The July issue of Mol. Biol. Evol. contains a study by [http://dx.doi.org/10.1093/molbev/msp070 Zhou et al.] that correlates the location of optimal codons with sites that are important for protein structure. The study finds that there is a tendency of optimal codons to appear at structurally important sites in a wide range of organisms. The study lends further credence to the mistranslation-induced protein-misfolding hypothesis, which argues that much of the selection pressure on coding sequences stems from the toxic effects of mistranslated and misfolded proteins.
+
 
 +
<font size="4">Translational-accuracy selection protects buried and structurally important sites</font>
 +
 
 +
<font size="2"> Posted on 06/15/2009 </font>
 +
 
 +
In 1994, Akashi proposed that translationally optimal codons, codons that are translated with relatively low error rate, should preferentially be located at important sites in coding sequences. This signal would be the consequence of translational-accuracy selection, i.e., selection to minimize the amount of non-functional or misfolded protein produced by translation errors. Traditionally, the importance of a site under Akashi's test has been assessed by evolutionary conservation. The July issue of Mol. Biol. Evol. contains a study by [http://dx.doi.org/10.1093/molbev/msp070 Zhou et al.] that correlates the location of optimal codons with sites that are important for protein structure. The study finds that there is a tendency of optimal codons to appear at structurally important sites in a wide range of organisms. The study lends further credence to the mistranslation-induced protein-misfolding hypothesis, which argues that much of the selection pressure on coding sequences stems from the toxic effects of mistranslated and misfolded proteins.
{{-}}
{{-}}
-
== 05/20/2009—HIV viral-load dynamics under Raltegravir==
+
<br>
-
[[Image:Wilke_newsicon_05202009.png|left|150px]] The spectrum of anti-HIV drugs was recently extended by a new class of drugs, the integrase inhibitors. The first drug of this class that received FDA approval is Raltegravir. Clinical data show that when previously untreated patients start treatment on Raltegravir, their viral load declines more rapidly than it does in patients who take instead the reverse-transcriptase inhibitor Efavirenz. This spring, Antiviral Therapy published a modeling study by [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2980788/ Sedaghat et al.] that discusses the possible mechanisms responsible for this accelerated decline in viral load. The study argues that the accelerated decline is likely not caused by greater antiviral efficiency of Raltegravir compared to Efavirenz. Instead, because Raltegravir acts later in the viral life cycle than Efavirenz, at the beginning of Raltegravir therapy fewer cells have progressed to a state where the drug can not inhibit virus production, and hence the viral load declines faster. The study is a follow-up to a paper published in 2008 in [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2290747 Proc. Natl. Acad. Sci. USA].
+
 
 +
<font size="4">HIV viral-load dynamics under Raltegravir</font>
 +
 
 +
<font size="2"> Posted on 05/20/2009 </font>
 +
 
 +
The spectrum of anti-HIV drugs was recently extended by a new class of drugs, the integrase inhibitors. The first drug of this class that received FDA approval is Raltegravir. Clinical data show that when previously untreated patients start treatment on Raltegravir, their viral load declines more rapidly than it does in patients who take instead the reverse-transcriptase inhibitor Efavirenz. This spring, Antiviral Therapy published a modeling study by [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2980788/ Sedaghat et al.] that discusses the possible mechanisms responsible for this accelerated decline in viral load. The study argues that the accelerated decline is likely not caused by greater antiviral efficiency of Raltegravir compared to Efavirenz. Instead, because Raltegravir acts later in the viral life cycle than Efavirenz, at the beginning of Raltegravir therapy fewer cells have progressed to a state where the drug can not inhibit virus production, and hence the viral load declines faster. The study is a follow-up to a paper published in 2008 in [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2290747 Proc. Natl. Acad. Sci. USA].
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__NOTOC__

Revision as of 19:16, 29 November 2012

THE WILKE LAB

Home        Contact        People        Research        Publications        Materials

Recent News


2006 MBE paper designated as Citation Classic

Posted on 11/29/2012

The journal Molecular Biology and Evolution (MBE) released a list of citation classics, past MBE papers that have been highly cited over the years. Among these papers is a paper by the Wilke lab: Drummond et al. (2006); A single determinant dominates the rate of yeast protein evolution; Mol. Biol. Evol. 23:327-337. This paper is the only MBE paper published in 2006 that was awarded this status. As of today, the paper has been cited 179 times, or 26 times per year, according to the ISI Web of Science.



A Structural Perspective on Protein Sequence Evolution

Posted on 09/12/2012

Today, the Wilke lab has published two studies on the selective pressures that protein structure exerts on evolving genetic sequences. The first, published in BMC Evol. Biol., looks at broad evolutionary trends in yeast. This study shows that evolutionary rate varies linearly with relative solvent accessibility of residues (RSA, a measure for how close to the surface or the core of the protein a residue is located). Hence, more exposed residues evolve faster than more buried residues. The second study, published in Mol. Biol. Evol., uses the insight gained from the first to identify individual sites in viral protein that evolve more rapidly or more slowly than expected given their RSA. When applied to two proteins of the influenza virus, hemagglutinin and neuraminidase, this method identified sites involved in cell entry, antibody binding, and drug resistance.


Bringing Molecules Back into Molecular Evolution

Posted on 06/28/2012

In the latest issue of the journal PLoS Computational Biology, Claus Wilke reviews the growing trend in the field of molecular evolution to incorporate molecular structure and function into computational work. This review is part of the popular Editor's Outlook series of the journal, where PLoS Computational Biology editors take stock of what computational biology has achieved to date and what it can hope to achieve in the near future.


Matthew Tien wins NSF Graduate Research Fellowship

Posted on 04/01/2012

Matthew Tien, an undergraduate researcher currently working in the Wilke lab, has been awarded an NSF Graduate Research Fellowship in this year's competition. For his graduate work, Matthew will be joining Allan Drummond's laboratory at the University of Chicago. Matthew plans to use mass spectrometry to investigate the world of mistranslated and misfolded proteins.


Contact networks shape parasite evolutionary trees

Posted on 04/22/2011

The inference of population dynamics (such as the number of infected individuals as a function of time) from molecular sequence data is becoming an important new method for the surveillance of infectious diseases. We have examined how heterogeneity in host contacts shapes the genealogies of parasitic agents. We find that contact heterogeneity can have a strong effect on how the structure of genealogies reflects epidemiologically relevant quantities such as the proportion of a population that is infected. Contact heterogeneity also can increase the number of sequence isolates required to estimate these quantities over the course of an epidemic. Our results suggest that data about contact-network structure will be required in addition to sequence data for accurate estimation of a parasitic agent's genealogy. This work is published in a special issue of the journal Perspectives on Infectious Diseases focused on network perspectives on infectious disease dynamics.


Universal trend of reduced RNA stability near translation-initiation site

Posted on 03/04/2010

In an analysis of 340 complete genomes from bacteria, archaea, and eukaryotes including fungi, plants, insects, fish, birds, and mammals, we have found a universal trend for reduced RNA stability near the translation-initiation site. With few exceptions, the secondary structure of mRNAs is less stable than expected in the first 30-50 nucleotides downstream from the start codon, but is more stable than expected further downstream. The effect is strongly correlated with genomic GC content — the higher GC the stronger the destabilization effect — and, in prokaryotes, with growth temperature — the lower the optimal growth temperature, the stronger the destabilization effect. These observations are consistent with a thermodynamic hypothesis that stable RNA secondary structure near the start codon can interfere with efficient translation initiation. This work is published in the February issue of PLoS Computational Biology.


NSF funds BEACON, a Science and Technology Center in Evolutionary Biology

Posted on 02/24/2010

The Wilke lab is part of a $25 million, multi-university center that will study evolution in action in natural and artificial settings. The center is called BEACON, "Bio/computational Evolution in Action CONsortium." It will be headquartered at Michigan State University. Other participating universities are The University of Texas at Austin, the University of Washington, the University of Idaho and North Carolina A&T State University. Read the UT press release here, or go to the BEACON web-site here.


New York Times article on lethal mutagenesis

Posted on 01/05/2010

In today's issue of the New York Times, Carl Zimmer discusses the prospects and challenges of combating viruses with lethal mutagenesis. The article features some of the work done in the Wilke lab as well as work done by our colleagues and collaborators in the Bull lab.


Novel source of HIV-1 viremia in patients on HAART

Posted on 09/16/2009

Even though highly active antiretroviral therapy (HAART) can reduce HIV-1 virus load to clinically undetectable levels, the virus never completely disappears and ultrasensitive assays can detect small quantities of virus in all patients on HAART. The exact origin of this virus is unknown. Many researchers assume that it is produced by latently infected CD4+ T cells that reactivate. We analyzed HIV-1 sequences isolated from resting CD4+ T cells, activated CD4+ T cells, and blood plasma using a population-genetics approach. Our analysis showed that sequences from resting and activated CD4+ T cells formed a single population, whereas some of the virus in the blood plasma seemed genetically distinct from the virus in CD4+ T cells. This result shows that circulating CD4+ T cells are not the only source of residual viremia, and it suggests that a novel cellular source may contribute significantly to ongoing virus production under HAART. This research was featured by Science Daily.


Translational-accuracy selection protects buried and structurally important sites

Posted on 06/15/2009

In 1994, Akashi proposed that translationally optimal codons, codons that are translated with relatively low error rate, should preferentially be located at important sites in coding sequences. This signal would be the consequence of translational-accuracy selection, i.e., selection to minimize the amount of non-functional or misfolded protein produced by translation errors. Traditionally, the importance of a site under Akashi's test has been assessed by evolutionary conservation. The July issue of Mol. Biol. Evol. contains a study by Zhou et al. that correlates the location of optimal codons with sites that are important for protein structure. The study finds that there is a tendency of optimal codons to appear at structurally important sites in a wide range of organisms. The study lends further credence to the mistranslation-induced protein-misfolding hypothesis, which argues that much of the selection pressure on coding sequences stems from the toxic effects of mistranslated and misfolded proteins.


HIV viral-load dynamics under Raltegravir

Posted on 05/20/2009

The spectrum of anti-HIV drugs was recently extended by a new class of drugs, the integrase inhibitors. The first drug of this class that received FDA approval is Raltegravir. Clinical data show that when previously untreated patients start treatment on Raltegravir, their viral load declines more rapidly than it does in patients who take instead the reverse-transcriptase inhibitor Efavirenz. This spring, Antiviral Therapy published a modeling study by Sedaghat et al. that discusses the possible mechanisms responsible for this accelerated decline in viral load. The study argues that the accelerated decline is likely not caused by greater antiviral efficiency of Raltegravir compared to Efavirenz. Instead, because Raltegravir acts later in the viral life cycle than Efavirenz, at the beginning of Raltegravir therapy fewer cells have progressed to a state where the drug can not inhibit virus production, and hence the viral load declines faster. The study is a follow-up to a paper published in 2008 in Proc. Natl. Acad. Sci. USA.





















































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