<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:georss='http://www.georss.org/georss' xmlns:gd='http://schemas.google.com/g/2005' xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-7423753557116545577</id><updated>2012-02-16T15:00:03.047-08:00</updated><title type='text'>EVOL.FRI</title><subtitle type='html'>A weekly reading group on current papers in all aspects of evolutionary biology</subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://evolfri.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default?max-results=100'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>16</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>100</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-8012371784567443729</id><published>2012-09-02T13:57:00.000-07:00</published><updated>2011-12-10T13:42:08.222-08:00</updated><title type='text'></title><content type='html'>&lt;div align="justify"&gt;&lt;a href="http://4.bp.blogspot.com/-VZXSDBaIkxM/TmFCbh00siI/AAAAAAAAAdI/7FbIHoveF7c/s1600/STGTfig_rev.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="544" src="http://4.bp.blogspot.com/-VZXSDBaIkxM/TmFCbh00siI/AAAAAAAAAdI/7FbIHoveF7c/s640/STGTfig_rev.png" width="640" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;Welcome to Evol.Fri!  This is meant to be an informal reading group to accomplish the goal of  staying current with the literature in evolutionary biology. It is  hosted by the &lt;a href="http://ajeckert.blogspot.com/"&gt;Eckert&lt;/a&gt; and &lt;a href="http://www.invertebratebiologylab.vcu.edu/LabWebpage.html"&gt;Turbeville&lt;/a&gt; labs in the Department of Biology located at Virginia Commonwealth University.&lt;br /&gt;&lt;br /&gt;I  would like participants to nominate papers that are interesting. The  only guideline is that it must fall broadly within the field of  evolutionary biology. If you find papers of interest, please e-mail them to me (&lt;a href="mailto:aeckert2@vcu.edu"&gt;aeckert2@vcu.edu&lt;/a&gt;) and I  will post them.&lt;br /&gt;&lt;br /&gt;There will be no formal structure to this group.  The person who nominates the paper will make a single statement about  why the paper was chosen and that is it. The rest of the time will be  open for discussion.&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;&lt;br /&gt;When:&lt;/span&gt; Every Friday at 4:00 pm&lt;br /&gt;&lt;br /&gt;&lt;span style="font-weight: bold;"&gt;Where:&lt;/span&gt; We will wander off to a nice place with refreshments for the actual discussion after meeting at LSB 340/342.&lt;br /&gt;&lt;br /&gt;&lt;span style="color: red;"&gt;Note the readings are in reverse order (future to past) and that additional posts can be located by clicking on the link "Older Posts" in the bottom right corner.&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-8012371784567443729?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/8012371784567443729'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/8012371784567443729'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/09/welcome-to-evol.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-VZXSDBaIkxM/TmFCbh00siI/AAAAAAAAAdI/7FbIHoveF7c/s72-c/STGTfig_rev.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-952262721955073637</id><published>2012-01-25T16:27:00.000-08:00</published><updated>2012-01-21T16:33:38.097-08:00</updated><title type='text'></title><content type='html'>&lt;b&gt;&lt;span style="font-size: large;"&gt;February 24, 2012&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;a href="http://3.bp.blogspot.com/-rlXBLBtFmWo/TxtX3Py3TJI/AAAAAAAABBA/f5mlEJer10g/s1600/Poplar_Arabidopsis_comparison.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="320" src="http://3.bp.blogspot.com/-rlXBLBtFmWo/TxtX3Py3TJI/AAAAAAAABBA/f5mlEJer10g/s320/Poplar_Arabidopsis_comparison.png" width="256" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;An &lt;i&gt;Ode to a Tree&lt;/i&gt; (with mutations added by A. J. Eckert):&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;I think that I shall never see&lt;br /&gt;An herb as lovely as a tree.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;A tree whose transcriptome is the best...&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;Wait a minute, I think that I have heard that one before! This week we will read a paper comparing and contrasting the transcriptomes of &lt;i&gt;Populus&lt;/i&gt; and &lt;i&gt;Arabidopsis&lt;/i&gt;. Maybe we can finally see what makes trees so unique. And before we go, one final mutation to the last line of that lovely little poem: "But only evolution can make a tree."&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/Poplar_Arabidopsis_comparison.pdf?attredirects=0&amp;amp;d=1"&gt;Quesada, T., et al. 2008. Comparative analysis of the transcriptomes of &lt;i&gt;Populus trichocarpa&lt;/i&gt; and &lt;i&gt;Arabidopsis thaliana&lt;/i&gt; suggests extensive evolution of gene expression regulation in angiosperms. &lt;i&gt;New Phytologist&lt;/i&gt; 180: 408-420.&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-952262721955073637?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/952262721955073637'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/952262721955073637'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2012/01/february-24-2012-ode-to-tree-with.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-rlXBLBtFmWo/TxtX3Py3TJI/AAAAAAAABBA/f5mlEJer10g/s72-c/Poplar_Arabidopsis_comparison.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-3209728390930083853</id><published>2012-01-24T16:08:00.000-08:00</published><updated>2012-01-21T16:09:08.609-08:00</updated><title type='text'></title><content type='html'>&lt;a href="http://2.bp.blogspot.com/-Lf101fHxKVA/TxtTdx1k_7I/AAAAAAAABA4/6m0sVL5Dc7c/s1600/j.1461-0248.2011.01625.x.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="200" src="http://2.bp.blogspot.com/-Lf101fHxKVA/TxtTdx1k_7I/AAAAAAAABA4/6m0sVL5Dc7c/s200/j.1461-0248.2011.01625.x.png" width="168" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;February 17, 2012&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;Frogs are more than cute, they can inform us about processes that drive local-scale species diversity in the Amazon. It turns out that colonization time of a locality is more important in structuring local diversity than overall diversification rates, trait diversity or climatic diversity. Who would have thought?&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/j.1461-0248.2011.01625.x.pdf?attredirects=0&amp;amp;d=1"&gt;Wiens, J. J., R. A. Pyron and D. S. Moen. 2011. Phylogenetic origins of local-scale diversity patterns and the causes of Amazonian megadiversity. &lt;i&gt;Ecology Letters&lt;/i&gt; 14: 643-652.&lt;/a&gt;&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-3209728390930083853?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/3209728390930083853'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/3209728390930083853'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2012/01/february-17-2012-frogs-are-more-than.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-Lf101fHxKVA/TxtTdx1k_7I/AAAAAAAABA4/6m0sVL5Dc7c/s72-c/j.1461-0248.2011.01625.x.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-1082448533144663541</id><published>2012-01-23T15:55:00.000-08:00</published><updated>2012-02-04T09:41:59.788-08:00</updated><title type='text'></title><content type='html'>&lt;span style="font-size: large;"&gt;&lt;b&gt;February 10, 2012&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-k6i72rMTpGw/TxtQCxPGZ5I/AAAAAAAABAw/3pvOG7ptPL0/s1600/011011-nugget-gold_full_600.jpg" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="133" src="http://1.bp.blogspot.com/-k6i72rMTpGw/TxtQCxPGZ5I/AAAAAAAABAw/3pvOG7ptPL0/s200/011011-nugget-gold_full_600.jpg" width="200" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Is this important for evolution?&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;Jumping Jehosaphat! Is that gold? This week's paper uses a clever analogy between genome scans, whether they be GWAS or outlier approaches, and the Gold Rush of California in the 1840's and 1850's to examine the biological meaning of genomic outliers. In short, Rockman argues that like the distribution of gold, which is mostly contained in miniscule flakes and not huge nuggets, the distribution of functionally important genetic variation is hidden in effects that are too small to observe. He believes that outliers to date are abnormal (e.g. like those rare and shiny gold nuggets) and really do not inform us about the general material of evolution. Hopefully, we will not be too distracted by all those shiny yet uninformative objects on the way to read this paper!&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/Rockman_QTNs.pdf"&gt;Rockman, M. V. 2011. The QTN program and the alleles that matter for evolution: All that's gold does not glitter. &lt;i&gt;Evolution&lt;/i&gt; 66: 1-17.&lt;/a&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;In addition, we will read a paper by Barrett and Hoekstra that cautions against over-interpretation of results from genome scans. Who says that history does not repeat itself? &lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/nrg3015.pdf"&gt;Barrett, R. D. H. and H. E. Hoekstra. 2011. Molecular spandrels: tests of adaptation at the genetic level. &lt;i&gt;Nature Reviews Genetics&lt;/i&gt; 12: 767-780&lt;/a&gt;&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-1082448533144663541?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/1082448533144663541'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/1082448533144663541'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2012/01/february-10-2012-jumping-jehosaphat-is.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-k6i72rMTpGw/TxtQCxPGZ5I/AAAAAAAABAw/3pvOG7ptPL0/s72-c/011011-nugget-gold_full_600.jpg' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-8121082444908259222</id><published>2012-01-22T15:29:00.000-08:00</published><updated>2012-01-21T15:33:11.019-08:00</updated><title type='text'></title><content type='html'>&lt;a href="http://4.bp.blogspot.com/-L4TueIJeYLM/TxtJehAdXxI/AAAAAAAABAo/4KAiT149L9c/s1600/HOFINGER_2011_An+exceptionally+high+nucleotide+and+haplotype+diversity+and+a+signature+of+positive+selection+for+the+eIF4E+resistance+gene+in+barley+are+revealed+by+allele+mining+and+phylogenetic+analyses+of+natural+populations.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="200" src="http://4.bp.blogspot.com/-L4TueIJeYLM/TxtJehAdXxI/AAAAAAAABAo/4KAiT149L9c/s200/HOFINGER_2011_An+exceptionally+high+nucleotide+and+haplotype+diversity+and+a+signature+of+positive+selection+for+the+eIF4E+resistance+gene+in+barley+are+revealed+by+allele+mining+and+phylogenetic+analyses+of+natural+populations.png" width="110" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;February 3, 2012&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;Who says that basic science isn't useful?&lt;/span&gt; &lt;span style="font-size: large;"&gt;This week we will explore signals of positive selection in barley. The authors take an inferential approach based on nucleotide diversity to show that variation at &lt;i&gt;eIF4E&lt;/i&gt; might be associated with local adaptation in response to mosaic virus infection. We'll have to toast the success of these authors, as barley is a key ingredient of one of Evol.Fri's main staples. Thanks to Chris for recommending this paper.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/HOFINGER_2011_AnexceptionallyhighnucleotideandhaplotypediversityandasignatureofpositiveselectionfortheeIF4Eresistancegeneinbarleyarerevealedbyalleleminingandphylogeneticanalysesofnaturalpopulations.pdf?attredirects=0&amp;amp;d=1"&gt;Hofinger, B. J., et al. 2011. An exceptionally high nucleotide and haplotype diversity and a signature of positive selection for the &lt;i&gt;eIF4E&lt;/i&gt; resistance gene in barley are revealed by allele mining and phylogenetic analyses of natural populations. &lt;i&gt;Molecular Ecology&lt;/i&gt; 20: 3653-3668.&lt;/a&gt;&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-8121082444908259222?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/8121082444908259222'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/8121082444908259222'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2012/01/february-3-2012-who-says-that-basic.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-L4TueIJeYLM/TxtJehAdXxI/AAAAAAAABAo/4KAiT149L9c/s72-c/HOFINGER_2011_An+exceptionally+high+nucleotide+and+haplotype+diversity+and+a+signature+of+positive+selection+for+the+eIF4E+resistance+gene+in+barley+are+revealed+by+allele+mining+and+phylogenetic+analyses+of+natural+populations.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-1202902550955552059</id><published>2012-01-21T14:37:00.001-08:00</published><updated>2012-01-21T15:31:34.279-08:00</updated><title type='text'></title><content type='html'>&lt;a href="http://3.bp.blogspot.com/-fJsYd0sr-88/TxtAobqQyWI/AAAAAAAABAg/oAm6QUfdwTA/s1600/Mardulyn+et+al.+2010.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="200" src="http://3.bp.blogspot.com/-fJsYd0sr-88/TxtAobqQyWI/AAAAAAAABAg/oAm6QUfdwTA/s200/Mardulyn+et+al.+2010.png" width="176" /&gt;&lt;/a&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt;January 27, 2012&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;We will begin the semester with a trip down the road of statistical phylogeography, and what a trip it will be! Mardulyn et al. take a statistical approach to evaluate the phylogeographic history of a leaf beetle with regards to host plant shifts.&lt;/span&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt; &lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: large;"&gt;Thanks to Serena for suggesting this paper.&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/Mardulyn_et_al2010.pdf?attredirects=0&amp;amp;d=1"&gt;Mardulyn, P., N. Othmezouri, Y. E. Mikhailov, J. M. Pasteels. 2011. Conflicting mitochondrial and nuclear phylogeographic signals and evolution of host-plant shifts in the boreo-montane leaf beetle &lt;i&gt;Chrysomela lapponica&lt;/i&gt;. &lt;i&gt;Molecular Phylogenetics and Evolution&lt;/i&gt; 61: 686-696.&lt;/a&gt;&lt;/span&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-1202902550955552059?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/1202902550955552059'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/1202902550955552059'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2012/01/jan.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-fJsYd0sr-88/TxtAobqQyWI/AAAAAAAABAg/oAm6QUfdwTA/s72-c/Mardulyn+et+al.+2010.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-6224071367992565432</id><published>2011-12-10T13:40:00.000-08:00</published><updated>2012-01-21T14:36:23.008-08:00</updated><title type='text'>Evol.Fri - Spring Semester 2012 - Call for Papers and Vote for Date and Time</title><content type='html'>&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;The meeting on December 9, 2011 marked the end of our first semester for the Evol.Fri reading group. Thank you to all who participated. Now, it's time to think about the future:&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;(1) With that said I would like to open a vote for a new date and time. Currently we meet on Fridays at 4:00. If you have an interest in changing this schedule, please e-mail me (aeckert2@vcu.edu) a preferred day and time.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;(2) We will read any paper that address questions relevant to understanding evolution. So, please send along any paper you would like to read and I will post it. The schedule for next semester is wide open.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;The first meeting of the group will be January 27, 2012. Happy Holidays and I hope to see everyone next semester.&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-6224071367992565432?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6224071367992565432'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6224071367992565432'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/12/evolfri-spring-semester-2012-call-for.html' title='Evol.Fri - Spring Semester 2012 - Call for Papers and Vote for Date and Time'/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-2126798973921000039</id><published>2011-11-20T07:19:00.000-08:00</published><updated>2011-11-20T07:19:23.423-08:00</updated><title type='text'></title><content type='html'>&lt;a 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" width="188" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;December 9, 2011&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;This week we will explore the effect of pathogen diversity on human evolution. The paper by Fumagalli et al. makes the strong claim that response to pathogens is the main driver of local adaptation among human populations. And I thought being sick all of the time was a bad thing! It also lays out a "new" method for inferring genetic variants involved with local adaptation.&lt;/span&gt;&lt;/div&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/Fumagalli_et_al.pdf"&gt;Fumagalli, M., M. Sironi, U. Pozzoli, A. Ferrer-Admettla, L. Pattini, R. Nielsen. 2011. Signatures of environmental genetic adaptation pinpoint pathgens as the main selective pressure through human evolution. &lt;i&gt;PLoS Genetics&lt;/i&gt; 7: e1002355. &lt;/a&gt;&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-2126798973921000039?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/2126798973921000039'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/2126798973921000039'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/11/december-9-2011-this-week-we-will.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-6478823847579281160</id><published>2011-11-03T14:19:00.000-07:00</published><updated>2011-11-16T05:13:01.982-08:00</updated><title type='text'></title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-KjkocRVh7RA/TrGxjmEeBXI/AAAAAAAAA4k/052IYwiJPJ4/s1600/Farrington+and+Petren+2011+EvolFri.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="200" src="http://2.bp.blogspot.com/-KjkocRVh7RA/TrGxjmEeBXI/AAAAAAAAA4k/052IYwiJPJ4/s200/Farrington+and+Petren+2011+EvolFri.png" width="178" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;December 2, 2011&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;Who doesn't love a finch, especially one from the Galapagos Islands? This week we will inspect a paper looking at the phylogeography/historical demography of Darwin's finches. Of keen interest here is the use of multiple time points for inference of genetic diversity and model parameters. Maybe not as cool as using a 5,000 year old bristlecone pine to do the same, but, hey, those cute little guys helped Darwin create an entire field of study that unites all aspects of biology (and gives some us jobs). Thanks to Serena for suggesting this paper!&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/Farrington.pdf"&gt;Farrington,  H. L. and K. Petren. 2011. A century of genetic change and metapopulation dynamics in the Galapagos warbler finches (&lt;i&gt;Certhidea&lt;/i&gt;). &lt;i&gt;Evolution&lt;/i&gt; 65: 3148-3161.&lt;/a&gt;&lt;/span&gt;&lt;br /&gt;&lt;span id="goog_644031779"&gt;&lt;/span&gt;&lt;span id="goog_644031780"&gt;&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-6478823847579281160?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6478823847579281160'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6478823847579281160'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/11/december-2-2011-who-doesnt-love-finch.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-KjkocRVh7RA/TrGxjmEeBXI/AAAAAAAAA4k/052IYwiJPJ4/s72-c/Farrington+and+Petren+2011+EvolFri.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-135034358018823724</id><published>2011-11-02T13:59:00.000-07:00</published><updated>2011-11-02T14:04:23.310-07:00</updated><title type='text'></title><content type='html'>&lt;span style="font-size: large;"&gt;&lt;b&gt;November 11, 2011&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/-YcCQ9ODNA6s/TrGtCgBCHnI/AAAAAAAAA4U/vdeSITXndAo/s1600/Fig1.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="212" src="http://3.bp.blogspot.com/-YcCQ9ODNA6s/TrGtCgBCHnI/AAAAAAAAA4U/vdeSITXndAo/s320/Fig1.png" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;This week we will read a paper on the higher level systematics of marine worms. It highlights several of the challenges in performing such analyses and complements well our previous papers about low level phylogenetic inference, which has its own suite of issues. Thanks to Clint for suggesting this paper.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="https://sites.google.com/site/andrewjeckertorg/Home/Phillipeetal2011.pdf"&gt;Phillipe, H., H. Brinkmann, R. Copley, &lt;i&gt;et al&lt;/i&gt;. 2011. Acoelomorph flatworms are deuterostomes related to &lt;i&gt;Xenoturbella&lt;/i&gt;. &lt;i&gt;Nature&lt;/i&gt; 470: 255-260.&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-135034358018823724?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/135034358018823724'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/135034358018823724'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/11/november-11-2011-this-week-we-will-read.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/-YcCQ9ODNA6s/TrGtCgBCHnI/AAAAAAAAA4U/vdeSITXndAo/s72-c/Fig1.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-6495041755732539787</id><published>2011-10-19T10:34:00.000-07:00</published><updated>2011-11-02T14:00:41.965-07:00</updated><title type='text'></title><content type='html'>&lt;a href="http://1.bp.blogspot.com/-mIOnDSwzKcE/Tp78i8K1K7I/AAAAAAAAAzU/hErb4YV5TOk/s1600/Genome+Biol+Evol-2011-Slotte-gbe_evr094.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="320" src="http://1.bp.blogspot.com/-mIOnDSwzKcE/Tp78i8K1K7I/AAAAAAAAAzU/hErb4YV5TOk/s320/Genome+Biol+Evol-2011-Slotte-gbe_evr094.png" width="208" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;October 28, 2011&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&lt;span style="color: #cc0000;"&gt;Note that this paper has been moved to Nov. 4, 2011&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;This week we will look at patterns of protein evolution in &lt;i&gt;Arabidopsis&lt;/i&gt;. Several patterns of adaptive evolution described for &lt;i&gt;Drosophila&lt;/i&gt; were examined in &lt;i&gt;Arabidopsis&lt;/i&gt; and "surprisingly" differences were discovered. Boy, plants are so weird, but just might be worth the time to consider as good examples of adaptation in the broad sense.&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: medium;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/GenomeBiolEvol-2011-Slotte-gbe_evr094.pdf"&gt;Slotte, T., T. Bataillon, T. T. Hansen, K. St. Onge, S. I. Wright, M. H. Schierup. in press. Genomic determinants of protein evolution and polymorphism in &lt;i&gt;Arabidopsis&lt;/i&gt;. &lt;i&gt;Genome Biology and Evolution&lt;/i&gt;.&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-6495041755732539787?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6495041755732539787'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6495041755732539787'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/10/october-28-2011-this-week-we-will-look.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-mIOnDSwzKcE/Tp78i8K1K7I/AAAAAAAAAzU/hErb4YV5TOk/s72-c/Genome+Biol+Evol-2011-Slotte-gbe_evr094.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-6518137054572068689</id><published>2011-09-16T09:04:00.000-07:00</published><updated>2011-10-04T04:57:34.655-07:00</updated><title type='text'></title><content type='html'>&lt;span style="font-size: large;"&gt;&lt;b&gt;October 21, 2011&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="color: red;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;Note the change of date for this paper, as I will be out of town for the next couple of Fridays.&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="http://1.bp.blogspot.com/--kbkG023ob4/TmeVXbO82WI/AAAAAAAAAhM/DbflKLzGYfw/s1600/WTF.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="147" src="http://1.bp.blogspot.com/--kbkG023ob4/TmeVXbO82WI/AAAAAAAAAhM/DbflKLzGYfw/s200/WTF.png" width="200" /&gt;&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;This week we will take a walk on the statistical side and examine whether or not proposed methods of species delimitation actually work, especially when gene flow is involved.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/Syst_Biol-2011-Zhang-sysbio_syr071.pdf"&gt;Zhang C, Zhang D-X, Zhu T, Yang Z. in press. Evaluation of a Bayesian coalescent method of species delimitation. &lt;i&gt;Systematic Biology&lt;/i&gt;.&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-6518137054572068689?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6518137054572068689'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6518137054572068689'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/09/september-30-2011-this-week-we-will.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/--kbkG023ob4/TmeVXbO82WI/AAAAAAAAAhM/DbflKLzGYfw/s72-c/WTF.png' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-2795984890534375741</id><published>2011-09-15T14:29:00.000-07:00</published><updated>2011-09-15T14:45:16.210-07:00</updated><title type='text'></title><content type='html'>&lt;span style="font-size: large;"&gt;&lt;b&gt;September 30, 2011&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;a href="http://1.bp.blogspot.com/-NixuMJYGYhs/TnJvnQYQTXI/AAAAAAAAAhc/JhWQDW0rKoY/s1600/EVO_1218_f1.gif" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="179" src="http://1.bp.blogspot.com/-NixuMJYGYhs/TnJvnQYQTXI/AAAAAAAAAhc/JhWQDW0rKoY/s320/EVO_1218_f1.gif" width="320" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;This week we will explore the world of inbreeding and mating system evolution in hermaphroditic animals. Watch out, it might get interesting! This is also the first paper suggested by a member (thanks Serena), so please keep them coming.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/Escobar_et_al_2011_Evol.pdf"&gt;&lt;span style="font-size: large;"&gt;Escobar, J. S. et al. Patterns of mating-system evolution in hermaphroditic animals: correlations among selfing rate, inbreeding depression, and the timing of reproduction. &lt;i&gt;Evolution&lt;/i&gt; 65: 1233-1253.&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-2795984890534375741?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/2795984890534375741'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/2795984890534375741'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/09/september-30-2011-this-week-we-will_15.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-NixuMJYGYhs/TnJvnQYQTXI/AAAAAAAAAhc/JhWQDW0rKoY/s72-c/EVO_1218_f1.gif' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-7711963520131577476</id><published>2011-09-07T08:30:00.000-07:00</published><updated>2011-09-07T08:34:33.121-07:00</updated><title type='text'></title><content type='html'>&lt;span style="font-size: large;"&gt;&lt;b&gt;September 23, 2011&lt;/b&gt;&amp;nbsp;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;a href="http://2.bp.blogspot.com/-KSUEhseCQy0/TmeNpKc3waI/AAAAAAAAAhE/1OLdOPb17s8/s1600/beetles.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="139" src="http://2.bp.blogspot.com/-KSUEhseCQy0/TmeNpKc3waI/AAAAAAAAAhE/1OLdOPb17s8/s200/beetles.jpg" width="200" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;This week we will read a paper that address the role of genetic variation among founding lineages of a population when resource bases are novel. Further information can be found at Dan Bolnick's &lt;a href="http://www.biosci.utexas.edu/ib/faculty/bolnick.htm"&gt;website&lt;/a&gt;.&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt; &lt;/span&gt;&lt;/div&gt;&lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/Agashe_et_al_2011.pdf"&gt;&lt;span style="font-size: large;"&gt;Agashe D, Falk J J, Bolnick D L. 2011. Effects of founding genetic variation on adaption to a novel resource. &lt;i&gt;Evolution&lt;/i&gt; 65: 2481-2491.&lt;/span&gt;&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-7711963520131577476?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/7711963520131577476'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/7711963520131577476'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/09/september-23-2011-this-week-we-will.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-KSUEhseCQy0/TmeNpKc3waI/AAAAAAAAAhE/1OLdOPb17s8/s72-c/beetles.jpg' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-3139956083031598366</id><published>2011-09-02T10:28:00.000-07:00</published><updated>2011-09-02T11:49:59.890-07:00</updated><title type='text'></title><content type='html'>&lt;div style="text-align: justify;"&gt;&lt;a href="http://1.bp.blogspot.com/-_uBtyfW5vnU/TmESL7XymeI/AAAAAAAAAc0/euVHMXdbIOA/s1600/phylogenies.jpeg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"&gt;&lt;img border="0" height="200" src="http://1.bp.blogspot.com/-_uBtyfW5vnU/TmESL7XymeI/AAAAAAAAAc0/euVHMXdbIOA/s200/phylogenies.jpeg" width="143" /&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;September 16, 2011&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;This week we will read a fine example of how molecular phylogenies can (or cannot) reveal patterns about the tempo and mode of speciation within floristic hotspots.&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;a href="http://www.blogger.com/goog_1030674781"&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/Syst_Biol-2011-Schnitzler-343-57.pdf"&gt;&lt;span style="font-size: large;"&gt;Schnitzler J, &lt;i&gt;et al.&lt;/i&gt; 2011. Causes of plant diversification in the Cape Biodiversity Hotspot of South Africa. &lt;i&gt;Systematic Biology&lt;/i&gt; 60: 343-357.&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-3139956083031598366?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/3139956083031598366'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/3139956083031598366'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/09/september-16-2011-this-week-we-will.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-_uBtyfW5vnU/TmESL7XymeI/AAAAAAAAAc0/euVHMXdbIOA/s72-c/phylogenies.jpeg' height='72' width='72'/></entry><entry><id>tag:blogger.com,1999:blog-7423753557116545577.post-6053751744252341630</id><published>2011-09-01T10:17:00.000-07:00</published><updated>2011-11-02T14:27:04.750-07:00</updated><title type='text'></title><content type='html'>&lt;table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; text-align: center;"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-P3sJmWiwiZQ/TmEMNYfQ-jI/AAAAAAAAAcw/OQNYwTMpQ2I/s1600/PNAS_lizards.jpeg" imageanchor="1" style="margin-left: auto; margin-right: auto;"&gt;&lt;img border="0" height="249" src="http://1.bp.blogspot.com/-P3sJmWiwiZQ/TmEMNYfQ-jI/AAAAAAAAAcw/OQNYwTMpQ2I/s320/PNAS_lizards.jpeg" width="320" /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td class="tr-caption" style="text-align: center;"&gt;Rosenblum et al. &lt;i&gt;PNAS&lt;/i&gt; 2009&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;September 9, 2011&lt;/b&gt;&amp;nbsp;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;This week we will read two papers about the molecular basis of ecological speciation by &lt;a href="http://people.ibest.uidaho.edu/%7Ebree/"&gt;Erica Bree Rosenblum&lt;/a&gt;. She has been doing extremely awesome work in trying to understand the molecular basis of ecological speciation using coloration in animals as a model system.&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt; &lt;/span&gt;&lt;/div&gt;&lt;div style="color: black; text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;1. &lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/RosenblumPNAS2009.pdf"&gt;Rosenblum E, Rompler H, Schoneberg T, Hoekstra H. 2009. Molecular and functional basis of phenotypic convergence in white lizards at White Sands. &lt;i&gt;Proceedings of the National Academy of Sciences USA&lt;/i&gt; 107: 2113-2117.&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="color: black; text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;2. &lt;a href="http://sites.google.com/site/andrewjeckertorg/Home/Rosenblum_Evolution_2011.pdf"&gt;Rosemblum E, Harmon L. 2011. "Same same but different": Replicated ecological speciation at White Sands. &lt;i&gt;Evolution&lt;/i&gt; 65: 946-960.&lt;/a&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7423753557116545577-6053751744252341630?l=evolfri.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6053751744252341630'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7423753557116545577/posts/default/6053751744252341630'/><link rel='alternate' type='text/html' href='http://evolfri.blogspot.com/2011/09/september-9-2011-this-week-we-will-read.html' title=''/><author><name>Andrew Eckert</name><uri>http://www.blogger.com/profile/08363955942155504697</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='24' src='http://1.bp.blogspot.com/-hpszPwAMSYw/TkQXKYtplRI/AAAAAAAAATo/DC_d2KXEr6g/s220/Eckert_pic.jpg'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-P3sJmWiwiZQ/TmEMNYfQ-jI/AAAAAAAAAcw/OQNYwTMpQ2I/s72-c/PNAS_lizards.jpeg' height='72' width='72'/></entry></feed>
