1. A Massive Expansion of Effector Genes Underlies Gall-Formation in the Wheat Pest Mayetiola destructor

    Current Biology 25(5):613 (2015) PMID 25660540

    Gall-forming arthropods are highly specialized herbivores that, in combination with their hosts, produce extended phenotypes with unique morphologies [1]. Many are economically important, and others have improved our understanding of ecology and adaptive radiation [2]. However, the mec...
  2. A Massive Expansion of Effector Genes Underlies Gall-Formation in the Wheat Pest Mayetiola destructor.

    Current Biology 25(5):613 (2015) PMID 25660540

    Gall-forming arthropods are highly specialized herbivores that, in combination with their hosts, produce extended phenotypes with unique morphologies [1]. Many are economically important, and others have improved our understanding of ecology and adaptive radiation [2]. However, the mechanisms th...
  3. Evidence for stabilizing selection on codon usage in chromosomal rearrangements of Drosophila pseudoobscura.

    G3: Genes, Genomes, Genetics 4(12):2433 (2014) PMID 25326424 PMCID PMC4267939

    There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance o...
  4. A Massive Expansion of Effector Genes Underlies Gall-Formation in the Wheat Pest Mayetiola destructor

    Current Biology (2014)

    • The plant galling Mayetiola destructor genome is replete with effector genes • The SSGP-71 effector gene family is the largest known arthropod gene family. ...
  5. Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines.

    Genome Research 24(7):1193 (2014) PMID 24714809 PMCID PMC4079974

    The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to iden...
  6. Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines.

    Genome Research 24(7):1193 (2014) PMID 24714809 PMCID PMC4079974

    The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to iden...
  7. Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines.

    Genome Research 24(7):1193 (2014) PMID 24714809 PMCID PMC4079974

    The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to iden...
  8. Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines.

    Genome Research 24(7):1193 (2014) PMID 24714809 PMCID PMC4079974

    The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to iden...
  9. Finding the missing honey bee genes: lessons learned from a genome upgrade.

    BMC Genomics 15:86 (2014) PMID 24479613 PMCID PMC4028053

    The first generation of genome sequence assemblies and annotations have had a significant impact upon our understanding of the biology of the sequenced species, the phylogenetic relationships among species, the study of populations within and across species, and have informed the biology of huma...
  10. Evidence for Stabilizing Selection on Codon Usage in Chromosomal Rearrangements of Drosophila pseudoobscura.

    G3: Genes, Genomes, Genetics 4(12):2433 (2014) PMID 25326424

    There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance o...
  11. Evidence for Stabilizing Selection on Codon Usage in Chromosomal Rearrangements of Drosophila pseudoobscura.

    G3: Genes, Genomes, Genetics 4(12):2433 (2014) PMID 25326424 PMCID PMC4267939

    There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance o...
  12. Evidence for Stabilizing Selection on Codon Usage in Chromosomal Rearrangements of Drosophila pseudoobscura.

    G3: Genes, Genomes, Genetics 4(12):2433 (2014) PMID 25326424

    There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance o...
  13. Evidence for Stabilizing Selection on Codon Usage in Chromosomal Rearrangements of Drosophila pseudoobscura.

    G3: Genes, Genomes, Genetics 4(12):2433 (2014) PMID 25326424 PMCID PMC4267939

    There has been a renewed interest in investigating the role of stabilizing selection acting on genome-wide traits such as codon usage bias. Codon bias, when synonymous codons are used at unequal frequencies, occurs in a wide variety of taxa. Standard evolutionary models explain the maintenance o...
  14. Finding the missing honey bee genes: lessons learned from a genome upgrade.

    BMC Genomics 15:86 (2014) PMID 24479613 PMCID PMC4028053

    The first generation of genome sequence assemblies and annotations have had a significant impact upon our understanding of the biology of the sequenced species, the phylogenetic relationships among species, the study of populations within and across species, and have informed the biology of huma...
  15. Finding the missing honey bee genes: lessons learned from a genome upgrade.

    BMC Genomics 15:86 (2014) PMID 24479613 PMCID PMC4028053

    The first generation of genome sequence assemblies and annotations have had a significant impact upon our understanding of the biology of the sequenced species, the phylogenetic relationships among species, the study of populations within and across species, and have informed the biology of huma...
  16. Epistasis dominates the genetic architecture of Drosophila quantitative traits.

    PNAS 109(39):15553 (2012) PMID 22949659 PMCID PMC3465439

    Epistasis-nonlinear genetic interactions between polymorphic loci-is the genetic basis of canalization and speciation, and epistatic interactions can be used to infer genetic networks affecting quantitative traits. However, the role that epistasis plays in the genetic architecture of quantitativ...
  17. Epistasis dominates the genetic architecture of Drosophila quantitative traits.

    PNAS 109(39):15553 (2012) PMID 22949659 PMCID PMC3465439

    Epistasis-nonlinear genetic interactions between polymorphic loci-is the genetic basis of canalization and speciation, and epistatic interactions can be used to infer genetic networks affecting quantitative traits. However, the role that epistasis plays in the genetic architecture of quantitativ...
  18. Epistasis dominates the genetic architecture of Drosophila quantitative traits.

    PNAS 109(39):15553 (2012) PMID 22949659 PMCID PMC3465439

    Epistasis-nonlinear genetic interactions between polymorphic loci-is the genetic basis of canalization and speciation, and epistatic interactions can be used to infer genetic networks affecting quantitative traits. However, the role that epistasis plays in the genetic architecture of quantitativ...
  19. The Drosophila melanogaster Genetic Reference Panel.

    Nature 482(7384):173 (2012) PMID 22318601 PMCID PMC3683990

    A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation with...
  20. The Drosophila melanogaster Genetic Reference Panel.

    Nature 482(7384):173 (2012) PMID 22318601 PMCID PMC3683990

    A major challenge of biology is understanding the relationship between molecular genetic variation and variation in quantitative traits, including fitness. This relationship determines our ability to predict phenotypes from genotypes and to understand how evolutionary forces shape variation with...