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Research in the Lazzaro Lab is focused on the evolutionary genetics of insect-pathogen interactions. We use population genetic, quantitative genetic, and genomic approaches to study how insects defend themselves against infection. We are particularly interested in understanding the genetic and environmental reasons why individuals vary in their susceptibility to infection, how interactions with pathogens shape the evolution of host immunity, and how immune defense is intertwined with other components of host physiology. We do most of our experimental research on the genetic model insect, Drosophila melanogaster, which allows us to combine functional genetic manipulation with studies of natural genetic variation. We also do population genetic and genomic work in Anopheles mosquitoes that vector malaria in sub-Saharan Africa. Individual Variation in Defense
We are additionally finding that the quality of immune defense is affected by a variety of environmental factors, including ambient temperature, dietary nutrition and reproductive activity. Some individuals are genetically much more sensitive to environment than others, as detailed below. Such genotype-specific reactions to environment (Genotype-by-Environment interactions, or GxE) are critically important in the evolution of defense and underlie the clinical concept of personalized medicine. Effects of nutrition on immunity
Effects of reproduction on defense
Key papers from the lab in this area Short, S.M. and B.P. Lazzaro (2013) Reproductive status alters transcriptomic response to infection in female Drosophila melanogaster G3: Genes, Genomes, Genetics 3:827-840. [pdf] Short, S.M., M.F. Wolfner and B.P. Lazzaro (2012) Female Drosophila melanogaster suffer reduced defense against infection due to seminal fluid components. Journal of Insect Physiology 58:1192-1201. [pdf] Short, S.M. and B.P. Lazzaro. (2010) Female and male genetic contributions to female post-mating susceptibility to infection in Drosophila melanogaster. Proceedings of the Royal Society, Biological Sciences, 277:3649-3657. [pdf] Fellous, S. and B.P. Lazzaro. (2010) Larval food quality affects adult (but not larval) immune gene expression independent of effects on general condition. Molecular Ecology, 19:1462-1468. [pdf] Sackton, T.B, B.P. Lazzaro and A.G. Clark (2010) Genotype and gene expression associations with immune function in Drosophila PLoS Genetics, 6:e1000797. [pdf] Lazzaro, B.P. and T.J. Little. (2009) Immunity in a variable world. Philosophical Transactions of the Royal Society, series B - Biology, 364:15-26. [pdf] Lazzaro, B.P., H.A. Flores, J.G. Lorigan and C.P. Yourth. (2008) Genotype by environment interactions and adaptation to local temperature affect immunity and fecundity in Drosophila melanogaster. PLoS Pathogens 4:e1000025. [pdf] McKean, K.A., C.P. Yourth, B.P. Lazzaro and A.G. Clark. (2008) The evolutionary costs of immunological maintenance and deployment. BMC Evolutionary Biology 8:76. [pdf] Lazzaro, B.P., T.B. Sackton and A.G. Clark. (2006) Genetic variation in Drosophila melanogaster resistance to infection: a comparison across bacteria. Genetics 174:1539-1554. [pdf] Lazzaro, B.P., B.K. Sceurman and A.G. Clark. (2004) The genetic basis of natural variation in D. melanogaster antibacterial immunity. Science 303:1873-1876. [pdf]
We use molecular population genetic and comparative genomic analyses establish how natural selection operates on the immune systems of Drosophila melanogaster, Anopheles mosquitoes that vector human malaria, and other insect species. We ask what are the natural selective, demographic and epidemiological pressures that drive evolution of insect immune systems, and how population-level phenomena such as population subdivision, migration, local adaptation, and changes in population size may affect the evolution of defense.
We and others have shown that immune system genes evolve, on average, more quickly and more adaptively than other genes in the Drosophila genome. We infer that this rapid evolution is driven by co-evolution with pathogens that themselves evolve the capacity to evade or suppress host immune defense. To our surprise, intracellular signaling genes that regulate immune system activity show some of the fastest rates of adaptive evolution. These signaling genes retain highly conserved orthology across insects and even into vertebrates, and we hypothesize that their rapid molecular evolution is driven by pathogen interference with the host’s capacity to activate the immune system. In contrast, Drosophila genes encoding antimicrobial peptides that kill infecting bacteria show little evidence of molecular adaptation, perhaps reflecting simplicity of function that is not easily subject to host-pathogen co-evolution at the amino acid level. Antimicrobial peptide genes show very rapid rates of duplication and deletion across insect species, however, and are among the most dynamic gene families in the genome. Receptors involved in defensive phagocytosis of microbes show both rapid evolution at the amino acid sequence level and rapid gene family turnover. Our current molecular population genetic studies of the D. melanogaster immune system emphasize genome-scale tests for subpopulation structure and local adaptation.
Molecular population genetics of Anopheles mosquitoes Key papers from the lab in this area Crawford, J.E., S.M. Rottschaefer, B. Coulibaly, M. Sacko, O. Niaré, M.M. Riehle, S.F. Traore, K.D. Vernick and B.P. Lazzaro (2013) No evidence for positive selection at two potential targets for malaria transmission-blocking vaccines in Anopheles gambiae s.s. Infection, Genetics, and Evolution 16:97-92 [pdf] Rottschaefer, S., M.M. Riehle, B. Coulibaly, M. Sacko, O. Niare, I. Morlais, S.F. Traore, K.D. Vernick and B.P. Lazzaro. (2011) Exceptional diversity, maintenance of polymorphism, and recent directional selection on the APL1 malaria resistance genes of Anopheles gambiae. PLoS Biology 9:e1000600. [pdf] Crawford, J.E., W.M. Guelbeogo, A. Sanou, A. Traore, K.D. Vernick, N. Sagnon and B.P. Lazzaro. (2010) De novo transcriptome sequencing in Anopheles funestus using Illumina RNA-seq technology. PLoS One, 5:314202. [pdf] Juneja, P. and B.P. Lazzaro. (2010) Haplotype structure and expression divergence at the Drosophila cellular immune gene eater. Mol. Biol. Evol., 27:2284-2299. Crawford, J. and B.P. Lazzaro (2010) The demographic histories of the molecular forms of Anopheles gambiae s.s. Molecular Biology and Evolution, 27:1739-1744. [pdf] Lazzaro, B.P. (2008) Natural Selection on the Drosophila innate immune system. Current Opinion in Microbiology, 11:284-289. [pdf] Sackton, T.B., B.P. Lazzaro, T.A. Schlenke, J.D. Evans, D. Hultmark and A.G. Clark. (2007) Dynamic evolution of the innate immune system in Drosophila. Nature Genetics 39:1461-1468. [pdf] Lazzaro, B.P. (2005) Elevated polymorphism and divergence in the class C scavenger receptors of Drosophila melanogaster and D. simulans. Genetics 169:2023-2034. [pdf] Lazzaro, B.P. and A.G. Clark. (2003) Molecular population genetics of inducible antibacterial peptide genes in Drosophila melanogaster. Molecular Biology and Evolution 20:914-923. [pdf] Lazzaro, B. P. and A.G. Clark. (2001) Evidence for recurrent paralogous gene conversion and exceptional allelic divergence in the Attacin genes of Drosophila melanogaster. Genetics 159:659-671. [pdf]
Key papers from the lab in this area Galac, M.R. and B.P. Lazzaro (2012) Comparative genomics of bacteria in the genus Providencia isolated from wild Drosophila melanogaster. BMC Genomics 13:612. [pdf] Galac, M. and B.P. Lazzaro. (2011) Comparative pathology of bacteria in the genus Providencia to a natural host, Drosophila melanogaster. Microbes and Infection13:673-683.[pdf] Lazzaro, B.P., T.B. Sackton and A.G. Clark. (2006) Genetic variation in Drosophila melanogaster resistance to infection: a comparison across bacteria. Genetics 174:1539-1554. [pdf] | ||||||||||








