Best Poster Award

Best Poster for Postdoctoral Fellows

2017 Marc Tollis Arizona State University, USA
  Elizabeth Atkinson Stony Brook University, USA
  Atahualpa Castillo Morales University of Bath, UK
2016 Paolo Franchini  University of Konstanz, Germany 
  Hilary Martin Sanger Institute, UK
2015 Matthew Hansen University of Pennsylvania, USA
2014  Pontus Skoglund Harvard Medical School, USA
  Clement Chow Cornell University, USA
2013    
2012 Henrik DeFine Licht Lund University, Sweden
Way Sung Indiana University, USA
2011 Christopher Illingworth Wellcome Trust Sanger Institute, UK
Valer Gotea National Human Genome Research Institute, USA
2010 Grzegorz Kudla University of Edinburgh, UK
2009 Joshua Shapiro University of Chicago, USA
Olivier Fedrigo Duke University, USA
2008 Mathew D. Dean University of Arizona, USA
Wayne Delport University of Cape Town, South Africa
D. Allan Drummond Harvard University, USA
Siobain Duffy The Pennsylvania State University, USA
Felicity Jones Stanford University, USA
Vini Pereira University of Sussex, UK
2007 Jixin Deng University of North Carolina, USA
Yasuhiro Go Harvard University, USA
Sasha Levy New York University, USA
Masafumi Nozawa Pennsylvania State University, USA
Thane Papke Dalhousie University, Canada
Shigeru Saito Iwate University, Japan
2006 Heather Norton University of Arizona, USA
2005 Kate Johnston University College Dublin, Ireland
Scott Roy Harvard University, USA

Best Poster for Graduate Students

 2017 James Fleming
University of Bristol, UK
  Pinglin Cao
Tohoku University, Japan
  Magdalena Kubiak
Adam Mickiewicz University, Poland 
2016 Federico Gaiti
University of Queensland, Australia
  Kristina Vanessa Klaus University of Bochum, Germany
  Guangying Wang
Chinese Academy of Sciences, China 
2015  Cong Liang Yale University Systems Biology Institute, USA
  Chuan Li University of Michigan, USA
  Charles Pugh  University of Florida, USA
  Evgeni Frenkel Harvard University, USA
2014  Francesco Nicola Carelli Universite de Lausanne, Switzerland
  Steven Reilly  Yale University, USA 
2013    
2012 Yves Clement Max Planck Institute For Molecular Genetic, Germany
2011 Ryuichi Sugino Graduate University for Advanced Studies, Japan
Ding He Uppsala University, Sweden
2010 Sidi Chen University of Chicago, USA
2009 Daniel Skelly University of Washington, USA
Kerry A. Geiler Harvard University, USA
David Garfield Duke University, USA
2008 David Álvarez-Ponce Universitat de Barcelona, Spain
Susan Lott University of Chicago, USA
Julien Roux University of Lausanne, Switzerland
Sarah Schaack Indiana University, USA
Sandra Trindade Instituto Gulbenkian, Lisbon, Portugal
Nicolas Vinckenbosch University of Lausanne, Switzerland
2007 Jennifer Becq Université Paris Diderot, Paris 7, France
Trevor Bedford Harvard University, USA
William Ferguson Queens College, City University of New York, USA
Mira Han Indiana University, USA
June Keay University of Oregon, USA
David Plachetzki University of California Santa Barbara, USA
2006 D. Allan Drummond California Institute of Technology, USA
2005 Katja Nowick Max Planck Institute for Evolutionary Anthropology, Germany

Best Poster for Undergraduate Students

2017 Isabela Jeronimo Bezerra Marcos  Universidade Federal da Paraíba, Brazil 
  Joseph Palmer
University of Sheffield, UK 
  Dan Werndly  Curtin University, Australia
2015     
2014 Gwenna Breton Uppsala University, Sweden
2013    
2012 Katharine Owers Uppsala University, Sweden
2011 Sarah Erb Indiana University, USA
Thomas Weighill Stellenbosch University, South Africa
2010 Jae Young Choi University of Toronto

Best Poster Information

In 2005, the SMBE Council decided to present at each meeting one or more Best Poster Prizes for Postdoctoral Fellows and Graduate Students. In 2010, a Best Poster Prize for undergraduate students was added.

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MBE | Most Read

Molecular Biology and Evolution

Wed, 22 Nov 2017 00:00:00 GMT

Wed, 22 Nov 2017 00:00:00 GMT

Wed, 22 Nov 2017 00:00:00 GMT

Exploring the Adaptation Extremes of Human High Altitude Sickness and Fitness

Wed, 22 Nov 2017 00:00:00 GMT

Tibetans, Ethiopians, and Peruvians.

Wed, 22 Nov 2017 00:00:00 GMT

Thu, 16 Nov 2017 00:00:00 GMT

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Tue, 26 Sep 2017 00:00:00 GMT

Species Tree Root Inference from Gene Duplication Events

Tue, 26 Sep 2017 00:00:00 GMT

Tue, 26 Sep 2017 00:00:00 GMT

Mon, 25 Sep 2017 00:00:00 GMT

Mon, 25 Sep 2017 00:00:00 GMT

Tue, 19 Sep 2017 00:00:00 GMT

DNA Sequence Polymorphism Analysis of Large Data Sets

Mon, 18 Sep 2017 00:00:00 GMT

1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.">http://www.ub.edu/dnasp">http://www.ub.edu/dnasp.

Thu, 14 Sep 2017 00:00:00 GMT

Thu, 14 Sep 2017 00:00:00 GMT

Tue, 12 Sep 2017 00:00:00 GMT

Mon, 11 Sep 2017 00:00:00 GMT

selective sweeps wherein large shifts in the allele frequencies occur at a few loci and evolution via small changes in the allele frequencies at many loci. Although the first process has been thoroughly investigated within the framework of population genetics, the latter is based on quantitative genetics and is much less understood. Here we summarize results from our recent theoretical studies of a quantitative genetic model of polygenic adaptation that makes explicit reference to population genetics to bridge the gap between the two frameworks. Our key results are that polygenic adaptation may be a rapid process and can proceed via subtle or dramatic changes in the allele frequency depending on the sizes of the phenotypic effects relative to a threshold value. We also discuss how the signals of polygenic selection may be detected in the genome. Although powerful methods are available to identify signatures of selective sweeps at loci controlling quantitative traits, the development of statistical tests for detecting small shifts of allele frequencies at quantitative trait loci is still in its infancy.

Sat, 09 Sep 2017 00:00:00 GMT

Tue, 05 Sep 2017 00:00:00 GMT

Hidden Genes Uncovered and the Rates versus Traits Paradox in Birds

Tue, 05 Sep 2017 00:00:00 GMT

A Package for Phylogenetic Networks

Mon, 04 Sep 2017 00:00:00 GMT

Wed, 30 Aug 2017 00:00:00 GMT

Rapid Adaptation in a Polygenic Trait Proceeded Exclusively through Expression Differentiation

Wed, 30 Aug 2017 00:00:00 GMT

Thu, 24 Aug 2017 00:00:00 GMT

Wed, 05 Jul 2017 00:00:00 GMT

GBE | Most Read

Genome Biology & Evolution

Emergence and Spread of Epidemic Multidrug-Resistant Pseudomonas aeruginosa

Wed, 29 Nov 2017 00:00:00 GMT

Abstract
Pseudomonas aeruginosa (P. aeruginosa) is one of the most common nosocomial pathogens worldwide. Although the emergence of multidrug-resistant (MDR) P. aeruginosa is a critical problem in medical practice, the key features involved in the emergence and spread of MDR P. aeruginosa remain unknown. This study utilized whole genome sequence (WGS) analyses to define the population structure of 185 P. aeruginosa clinical isolates from several countries. Of these 185 isolates, 136 were categorized into sequence type (ST) 235, one of the most common types worldwide. Phylogenetic analysis showed that these isolates fell within seven subclades. Each subclade harbors characteristic drug resistance genes and a characteristic genetic background confined to a geographic location, suggesting that clonal expansion following antibiotic exposure is the driving force in generating the population structure of MDR P. aeruginosa. WGS analyses also showed that the substitution rate was markedly higher in ST235 MDR P. aeruginosa than in other strains. Notably, almost all ST235 isolates harbor the specific type IV secretion system and very few or none harbor the CRISPR/CAS system. These findings may help explain the mechanism underlying the emergence and spread of ST235 P. aeruginosa as the predominant MDR lineage.

Horizontal Acquisition and Transcriptional Integration of Novel Genes in Mosquito-Associated Spiroplasma

Tue, 21 Nov 2017 00:00:00 GMT

Abstract
Genetic differentiation among symbiotic bacteria is important in shaping biodiversity. The genus Spiroplasma contains species occupying diverse niches and is a model system for symbiont evolution. Previous studies have established that two mosquito-associated species have diverged extensively in their carbohydrate metabolism genes despite having a close phylogenetic relationship. Notably, although the commensal Spiroplasma diminutum lacks identifiable pathogenicity factors, the pathogenic Spiroplasma taiwanense was found to have acquired a virulence factor glpO and its associated genes through horizontal transfer. However, it is unclear if these acquired genes have been integrated into the regulatory network. In this study, we inferred the gene content evolution in these bacteria, as well as examined their transcriptomes in response to glucose availability. The results indicated that both species have many more gene acquisitions from the Mycoides-Entomoplasmataceae clade, which contains several important pathogens of ruminants, than previously thought. Moreover, several acquired genes have higher expression levels than the vertically inherited homologs, indicating possible functional replacement. Finally, the virulence factor and its functionally linked genes in S. taiwanense were up-regulated in response to glucose starvation, suggesting that these acquired genes are under expression regulation and the pathogenicity may be a stress response. In summary, although differential gene losses are a major process for symbiont divergence, gene gains are critical in counteracting genome degradation and driving diversification among facultative symbionts.

The Diversity of REcent and Ancient huMan (DREAM): A New Microarray for Genetic Anthropology and Genealogy, Forensics, and Personalized Medicine

Mon, 20 Nov 2017 00:00:00 GMT

Abstract
The human population displays wide variety in demographic history, ancestry, content of DNA derived from hominins or ancient populations, adaptation, traits, copy number variation, drug response, and more. These polymorphisms are of broad interest to population geneticists, forensics investigators, and medical professionals. Historically, much of that knowledge was gained from population survey projects. Although many commercial arrays exist for genome-wide single-nucleotide polymorphism genotyping, their design specifications are limited and they do not allow a full exploration of biodiversity. We thereby aimed to design the Diversity of REcent and Ancient huMan (DREAM)—an all-inclusive microarray that would allow both identification of known associations and exploration of standing questions in genetic anthropology, forensics, and personalized medicine. DREAM includes probes to interrogate ancestry informative markers obtained from over 450 human populations, over 200 ancient genomes, and 10 archaic hominins. DREAM can identify 94% and 61% of all known Y and mitochondrial haplogroups, respectively, and was vetted to avoid interrogation of clinically relevant markers. To demonstrate its capabilities, we compared its FST distributions with those of the 1000 Genomes Project and commercial arrays. Although all arrays yielded similarly shaped (inverse J) FST distributions, DREAM’s autosomal and X-chromosomal distributions had the highest mean FST, attesting to its ability to discern subpopulations. DREAM performances are further illustrated in biogeographical, identical by descent, and copy number variation analyses. In summary, with approximately 800,000 markers spanning nearly 2,000 genes, DREAM is a useful tool for genetic anthropology, forensic, and personalized medicine studies.

Structure-Related Differences between Cytochrome Oxidase I Proteins in a Stable Heteroplasmic Mitochondrial System

Tue, 14 Nov 2017 00:00:00 GMT

Abstract
Many bivalve species have two types of mitochondrial DNA passed independently through the female line (F genome) and male line (M genome). Here we study the cytochrome oxidase I protein in such bivalve species and provide evidence for differences between the F and M proteins in amino acid property values, particularly relating to hydrophobicity and helicity. The magnitude of these differences varies between different regions of the protein and the change from the ancestor is most marked in the M protein. The observed changes occur in parallel and in the same direction in the different species studied. Two possible causes are considered, first relaxation of purifying selection with drift and second positive selection. These may operate in different ways in different regions of the protein. Many different amino acid substitutions contribute in a small way to the observed variation, but substitutions involving alanine and serine have a quantitatively large effect. Some of these substitutions are potential targets for phosphorylation and some are close to residues of functional importance in the catalytic mechanism. We propose that the observed changes in the F and M proteins might contribute to functional differences between them relating to ATP production and mitochondrial membrane potential with implications for sperm function.

The Novel Evolution of the Sperm Whale Genome

Wed, 13 Sep 2017 00:00:00 GMT

Abstract
The sperm whale, made famous by Moby Dick, is one of the most fascinating of all ocean-dwelling species given their unique life history, novel physiological adaptations to hunting squid at extreme ocean depths, and their position as one of the earliest branching toothed whales (Odontoceti). We assembled the sperm whale (Physeter macrocephalus) genome and resequenced individuals from multiple ocean basins to identify new candidate genes for adaptation to an aquatic environment and infer demographic history. Genes crucial for skin integrity appeared to be particularly important in both the sperm whale and other cetaceans. We also find sperm whales experienced a steep population decline during the early Pleistocene epoch. These genomic data add new comparative insight into the evolution of whales.