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A Population Genomic Investigation of Immune Cell Diversity and Phagocytic Capacity in a Butterfly. Genes (Basel) 2021; 12:genes12020279. [PMID: 33669297 PMCID: PMC7920040 DOI: 10.3390/genes12020279] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/12/2021] [Accepted: 02/13/2021] [Indexed: 12/27/2022] Open
Abstract
Insects rely on their innate immune system to successfully mediate complex interactions with their internal microbiota, as well as the microbes present in the environment. Given the variation in microbes across habitats, the challenges to respond to them are likely to result in local adaptations in the immune system. Here we focus upon phagocytosis, a mechanism by which pathogens and foreign particles are engulfed in order to be contained, killed, and processed. We investigated the phenotypic and genetic variation related to phagocytosis in two allopatric populations of the butterfly Pieris napi. Populations were found to differ in their hemocyte composition and overall phagocytic capability, driven by the increased phagocytic propensity of each cell type. Yet, genes annotated to phagocytosis showed no large genomic signal of divergence. However, a gene set enrichment analysis on significantly divergent genes identified loci involved in glutamine metabolism, which recently have been linked to immune cell differentiation in mammals. Together these results suggest that heritable variation in phagocytic capacity arises via a quantitative trait architecture with variation in genes affecting the activation and/or differentiation of phagocytic cells, suggesting them as potential candidate genes underlying these phenotypic differences.
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2
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Behrman EL, Howick VM, Kapun M, Staubach F, Bergland AO, Petrov DA, Lazzaro BP, Schmidt PS. Rapid seasonal evolution in innate immunity of wild Drosophila melanogaster. Proc Biol Sci 2019; 285:rspb.2017.2599. [PMID: 29321302 DOI: 10.1098/rspb.2017.2599] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 12/05/2017] [Indexed: 12/12/2022] Open
Abstract
Understanding the rate of evolutionary change and the genetic architecture that facilitates rapid adaptation is a current challenge in evolutionary biology. Comparative studies show that genes with immune function are among the most rapidly evolving genes across a range of taxa. Here, we use immune defence in natural populations of Drosophila melanogaster to understand the rate of evolution in natural populations and the genetics underlying rapid change. We probed the immune system using the natural pathogens Enterococcus faecalis and Providencia rettgeri to measure post-infection survival and bacterial load of wild D. melanogaster populations collected across seasonal time along a latitudinal transect along eastern North America (Massachusetts, Pennsylvania and Virginia). There are pronounced and repeatable changes in the immune response over the approximately 10 generations between spring and autumn collections, with a significant but less distinct difference observed among geographical locations. Genes with known immune function are not enriched among alleles that cycle with seasonal time, but the immune function of a subset of seasonally cycling alleles in immune genes was tested using reconstructed outbred populations. We find that flies containing seasonal alleles in Thioester-containing protein 3 (Tep3) have different functional responses to infection and that epistatic interactions among seasonal Tep3 and Drosomycin-like 6 (Dro6) alleles underlie the immune phenotypes observed in natural populations. This rapid, cyclic response to seasonal environmental pressure broadens our understanding of the complex ecological and genetic interactions determining the evolution of immune defence in natural populations.
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Affiliation(s)
- Emily L Behrman
- Department of Biology, University of Pennsylvania, 433 S. University Ave., Philadelphia, PA 19104, USA
| | - Virginia M Howick
- Department of Entomology, Cornell University, 3125 Comstock Hall, Ithaca, NY 14853, USA
| | - Martin Kapun
- Department of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland
| | - Fabian Staubach
- Department of Biology, Stanford University, 371 Serra St, Stanford, CA 94305-5020, USA.,Albert-Ludwigs University, Freiburg, Germany
| | - Alan O Bergland
- Department of Biology, Stanford University, 371 Serra St, Stanford, CA 94305-5020, USA.,Department of Biology, University of Virginia, 409 McCormic Rd, Charlottesville, VA 22904, USA
| | - Dmitri A Petrov
- Department of Biology, Stanford University, 371 Serra St, Stanford, CA 94305-5020, USA
| | - Brian P Lazzaro
- Department of Entomology, Cornell University, 3125 Comstock Hall, Ithaca, NY 14853, USA
| | - Paul S Schmidt
- Department of Biology, University of Pennsylvania, 433 S. University Ave., Philadelphia, PA 19104, USA
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3
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Im JH, Lazzaro BP. Population genetic analysis of autophagy and phagocytosis genes in Drosophila melanogaster and D. simulans. PLoS One 2018; 13:e0205024. [PMID: 30281656 PMCID: PMC6169979 DOI: 10.1371/journal.pone.0205024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 09/18/2018] [Indexed: 12/03/2022] Open
Abstract
Autophagy and phagocytosis are cellular immune mechanisms for internalization and elimination of intracellular and extracellular pathogens. Some pathogens have evolved the ability to inhibit or manipulate these processes, raising the prospect of adaptive reciprocal co-evolution by the host. We performed population genetic analyses on phagocytosis and autophagy genes in Drosophila melanogaster and D. simulans to test for molecular evolutionary signatures of immune adaptation. We found that phagocytosis and autophagy genes as a whole exhibited an elevated level of haplotype homozygosity in both species. In addition, we detected signatures of recent selection, notably in the Atg14 and Ykt6 genes in D. melanogaster and a pattern of elevated sequence divergence in the genderblind (gb) gene on the D. simulans lineage. These results suggest that the evolution of the host cellular immune system as a whole may be shaped by a dynamic conflict between Drosophila and its pathogens even without pervasive evidence of strong adaptive evolution at the individual gene level.
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Affiliation(s)
- Joo Hyun Im
- Cornell Institute of Host-Microbe Interactions and Disease, Cornell University, Ithaca, NY, United States of America.,Graduate Field of Genetics, Genomics, and Development, Cornell University, Ithaca, NY, United States of America.,Department of Entomology, Cornell University, Ithaca, NY, United States of America
| | - Brian P Lazzaro
- Cornell Institute of Host-Microbe Interactions and Disease, Cornell University, Ithaca, NY, United States of America.,Graduate Field of Genetics, Genomics, and Development, Cornell University, Ithaca, NY, United States of America.,Department of Entomology, Cornell University, Ithaca, NY, United States of America
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4
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Msaad Guerfali M, Djobbi W, Charaabi K, Hamden H, Fadhl S, Marzouki W, Dhaouedi F, Chevrier C. Evaluation of Providencia rettgeri pathogenicity against laboratory Mediterranean fruit fly strain (Ceratitis capitata). PLoS One 2018; 13:e0196343. [PMID: 29734397 PMCID: PMC5937750 DOI: 10.1371/journal.pone.0196343] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Accepted: 04/11/2018] [Indexed: 12/27/2022] Open
Abstract
The Mediterranean fruit fly (medfly) Ceratitis capitata (Wiedemann) (Diptera: Tephritidae), is often referred to as the most severe agricultural pest. Its biological control is mainly through the Sterile Insect Technique (SIT). Colonization, mass-rearing conditions and the irradiation process impact the competitiveness of sterile males and disrupt symbiotic associations by favoring some bacterial species and suppressing others. Levels of Providencia species have been shown to fluctuate considerably in the gut of the medfly laboratory strain Vienna 8 under irradiation, increasing by up to 22%. This study aimed to determine the pathogenicity of Providencia rettgeri isolated from the gut of laboratory Vienna 8 medfly strains by examining the effects of 1) two different treatment doses on egg-hatching and development and 2) two infection methodologies (ingestion and injection) of male and female adults according to their mating status. Treatment of eggs with P. rettgeri (2%) significantly decreased the mean egg to pupae recovery rate. Our data showed significant high mortality in flies with both injection and ingestion after 24 hours without any effect of sex. Microbial counts demonstrated that the bacteria could proliferate and replicate in adult flies. There was a significant sex-dependent effect after infection, with mortality decreasing significantly for males more than females. Providencia rettgeri can be considered as a potential pathogen of C. capitata. Mating protected males and females against infection by P. rettgeri by triggering an immune response leading to double the levels of Cecropin being secreted compared to infected virgin adults, thus reducing the virulence of the bacteria.
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Affiliation(s)
- Meriem Msaad Guerfali
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
- * E-mail:
| | - Wafa Djobbi
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
| | - Kamel Charaabi
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
| | - Heithem Hamden
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
| | - Salma Fadhl
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
| | - Wafa Marzouki
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
| | - Ferjani Dhaouedi
- Laboratory of biotechnology and nuclear technologies, LR16CNSTN01, National centre of nuclear sciences and technologies, Technopole Sidi Thabet, Tunis, Tunisia
| | - Claude Chevrier
- UMRCNRS, 6035, Insect Research Biology Institute (IRBI), Faculty of Science and Technology, Tours, France
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5
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Abstract
The power and ease of Drosophila genetics and the medical relevance of mosquito-transmitted viruses have made dipterans important model organisms in antiviral immunology. Studies of virus-host interactions at the molecular and population levels have illuminated determinants of resistance to virus infection. Here, we review the sources and nature of variation in antiviral immunity and virus susceptibility in model dipteran insects, specifically the fruit fly Drosophila melanogaster and vector mosquitoes of the genera Aedes and Culex. We first discuss antiviral immune mechanisms and describe the virus-specificity of these responses. In the following sections, we review genetic and microbiota-dependent variation in antiviral immunity. In the final sections, we explore less well-studied sources of variation, including abiotic factors, sexual dimorphism, infection history, and endogenous viral elements. We borrow from work on other pathogen types and non-dipteran species when it parallels or complements studies in dipterans. Understanding natural variation in virus-host interactions may lead to the identification of novel restriction factors and immune mechanisms and shed light on the molecular determinants of vector competence.
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Affiliation(s)
- William H Palmer
- Institute of Evolutionary Biology and Centre for Infection, Evolution and Immunity, University of Edinburgh, Edinburgh EH9 3FL UK.
| | - Finny S Varghese
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, Nijmegen 6500 HB, The Netherlands.
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands.
| | - Ronald P van Rij
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, Nijmegen 6500 HB, The Netherlands.
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands.
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6
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Early AM, Clark AG. Genomic signatures of local adaptation in the Drosophila immune response. Fly (Austin) 2017; 11:277-283. [PMID: 28586288 DOI: 10.1080/19336934.2017.1337612] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
As environments and pathogen landscapes shift, host defenses must evolve to remain effective. Due to this selection pressure, among-species comparisons of genetic sequence data often find immune genes to be among the fastest evolving genes across the genome. The full extent and nature of these immune adaptations, however, remain largely unexplored. In a recent study, we analyzed patterns of selection within distinct components of the Drosophila melanogaster immune pathway. While we found evidence of positive selection within some immune processes, immune genes were not universally characterized by signatures of strong selection. On the contrary, we even found that some immune functions show greater than expected constraint. Overall these results highlight 2 major factors that appear to play an outsize role in determining a gene's evolutionary rate: the type of pathogen the gene targets and the gene's position within the immune network. These results join a growing body of literature that highlight the complexity of immune adaptation. Rather than there being uniformly strong selection across all immune genes, a combination of pathogen-specificity and host genetic constraints appear to play key roles in determining each immune gene's individual evolutionary trajectory.
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Affiliation(s)
- Angela M Early
- a Department of Molecular Biology and Genetics , Cornell University , Ithaca , NY.,b Infectious Disease and Microbiome Program , Broad Institute of MIT and Harvard , Cambridge , MA
| | - Andrew G Clark
- a Department of Molecular Biology and Genetics , Cornell University , Ithaca , NY
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7
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Croze M, Wollstein A, Božičević V, Živković D, Stephan W, Hutter S. A genome-wide scan for genes under balancing selection in Drosophila melanogaster. BMC Evol Biol 2017; 17:15. [PMID: 28086750 PMCID: PMC5237213 DOI: 10.1186/s12862-016-0857-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2016] [Accepted: 12/17/2016] [Indexed: 04/12/2023] Open
Abstract
BACKGROUND In the history of population genetics balancing selection has been considered as an important evolutionary force, yet until today little is known about its abundance and its effect on patterns of genetic diversity. Several well-known examples of balancing selection have been reported from humans, mice, plants, and parasites. However, only very few systematic studies have been carried out to detect genes under balancing selection. We performed a genome scan in Drosophila melanogaster to find signatures of balancing selection in a derived (European) and an ancestral (African) population. We screened a total of 34 genomes searching for regions of high genetic diversity and an excess of SNPs with intermediate frequency. RESULTS In total, we found 183 candidate genes: 141 in the European population and 45 in the African one, with only three genes shared between both populations. Most differences between both populations were observed on the X chromosome, though this might be partly due to false positives. Functionally, we find an overrepresentation of genes involved in neuronal development and circadian rhythm. Furthermore, some of the top genes we identified are involved in innate immunity. CONCLUSION Our results revealed evidence of genes under balancing selection in European and African populations. More candidate genes have been found in the European population. They are involved in several different functions.
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Affiliation(s)
- Myriam Croze
- Section of Evolutionary Biology, Department of Biology II, University of Munich (LMU), Grosshaderner Str. 2, 82152, Planegg-Martinsried, Germany.
| | - Andreas Wollstein
- Section of Evolutionary Biology, Department of Biology II, University of Munich (LMU), Grosshaderner Str. 2, 82152, Planegg-Martinsried, Germany
| | - Vedran Božičević
- Section of Evolutionary Biology, Department of Biology II, University of Munich (LMU), Grosshaderner Str. 2, 82152, Planegg-Martinsried, Germany
| | - Daniel Živković
- Section of Evolutionary Biology, Department of Biology II, University of Munich (LMU), Grosshaderner Str. 2, 82152, Planegg-Martinsried, Germany.,Center of Food and Life Sciences Weihenstephan, Technische Universität München, 85354, Freising, Germany
| | - Wolfgang Stephan
- Section of Evolutionary Biology, Department of Biology II, University of Munich (LMU), Grosshaderner Str. 2, 82152, Planegg-Martinsried, Germany.,Natural History Museum Berlin, 10115, Berlin, Germany
| | - Stephan Hutter
- Section of Evolutionary Biology, Department of Biology II, University of Munich (LMU), Grosshaderner Str. 2, 82152, Planegg-Martinsried, Germany
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8
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Survey of Global Genetic Diversity Within the Drosophila Immune System. Genetics 2016; 205:353-366. [PMID: 27815361 DOI: 10.1534/genetics.116.195016] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 10/28/2016] [Indexed: 11/18/2022] Open
Abstract
Numerous studies across a wide range of taxa have demonstrated that immune genes are routinely among the most rapidly evolving genes in the genome. This observation, however, does not address what proportion of immune genes undergo strong selection during adaptation to novel environments. Here, we determine the extent of very recent divergence in genes with immune function across five populations of Drosophila melanogaster and find that immune genes do not show an overall trend of recent rapid adaptation. Our population-based approach uses a set of carefully matched control genes to account for the effects of demography and local recombination rate, allowing us to identify whether specific immune functions are putative targets of strong selection. We find evidence that viral-defense genes are rapidly evolving in Drosophila at multiple timescales. Local adaptation to bacteria and fungi is less extreme and primarily occurs through changes in recognition and effector genes rather than large-scale changes to the regulation of the immune response. Surprisingly, genes in the Toll pathway, which show a high rate of adaptive substitution between the D. melanogaster and D. simulans lineages, show little population differentiation. Quantifying the flies for resistance to a generalist Gram-positive bacterial pathogen, we found that this genetic pattern of low population differentiation was recapitulated at the phenotypic level. In sum, our results highlight the complexity of immune evolution and suggest that Drosophila immune genes do not follow a uniform trajectory of strong directional selection as flies encounter new environments.
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9
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Croze M, Živković D, Stephan W, Hutter S. Balancing selection on immunity genes: review of the current literature and new analysis in Drosophila melanogaster. ZOOLOGY 2016; 119:322-9. [PMID: 27106015 DOI: 10.1016/j.zool.2016.03.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Revised: 02/11/2016] [Accepted: 03/16/2016] [Indexed: 12/18/2022]
Abstract
Balancing selection has been widely assumed to be an important evolutionary force, yet even today little is known about its abundance and its impact on the patterns of genetic diversity. Several studies have shown examples of balancing selection in humans, plants or parasites, and many genes under balancing selection are involved in immunity. It has been proposed that host-parasite coevolution is one of the main forces driving immune genes to evolve under balancing selection. In this paper, we review the literature on balancing selection on immunity genes in several organisms, including Drosophila. Furthermore, we performed a genome scan for balancing selection in an African population of Drosophila melanogaster using coalescent simulations of a demographic model with and without selection. We find very few genes under balancing selection and only one novel candidate gene related to immunity. Finally, we discuss the possible causes of the low number of genes under balancing selection.
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Affiliation(s)
- Myriam Croze
- Department of Biology II, Ludwig Maximilian University Munich, Großhaderner Str. 2, D-82152 Planegg-Martinsried, Germany.
| | - Daniel Živković
- Department of Biology II, Ludwig Maximilian University Munich, Großhaderner Str. 2, D-82152 Planegg-Martinsried, Germany
| | - Wolfgang Stephan
- Department of Biology II, Ludwig Maximilian University Munich, Großhaderner Str. 2, D-82152 Planegg-Martinsried, Germany
| | - Stephan Hutter
- Department of Biology II, Ludwig Maximilian University Munich, Großhaderner Str. 2, D-82152 Planegg-Martinsried, Germany
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10
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Midega J, Blight J, Lombardo F, Povelones M, Kafatos F, Christophides GK. Discovery and characterization of two Nimrod superfamily members in Anopheles gambiae. Pathog Glob Health 2014; 107:463-74. [PMID: 24428830 PMCID: PMC4073527 DOI: 10.1179/204777213x13867543472674] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Anti-bacterial proteins in mosquitoes are known to play an important modulatory role on immune responses to infections with human pathogens including malaria parasites. In this study we characterized two members of the Anopheles gambiae Nimrod superfamily, namely AgNimB2 and AgEater. We confirm that current annotation of the An. gambiae genome incorrectly identifies AgNimB2 and AgEater as a single gene, AGAP009762. Through in silico and experimental approaches, it has been shown that AgNimB2 is a secreted protein that mediates phagocytosis of Staphylococcus aureus but not of Escherichia coli bacteria. We also reveal that this function does not involve a direct interaction of AgNimB2 with S. aureus. Therefore, AgNimB2 may act downstream of complement-like pathway activation, first requiring bacterial opsonization. In addition, it has been shown that AgNimB2 has an anti-Plasmodium effect. Conversely, AgEater is a membrane-bound protein that either functions redundantly or is dispensable for phagocytosis of E. coli or S. aureus. Our study provides insights into the role of members of the complex Nimrod superfamily in An. gambiae, the most important African vector of human malaria.
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11
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Ellis JS, Turner LM, Knight ME. Patterns of selection and polymorphism of innate immunity genes in bumblebees (Hymenoptera: Apidae). Genetica 2012; 140:205-17. [PMID: 22899493 DOI: 10.1007/s10709-012-9672-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 08/07/2012] [Indexed: 01/22/2023]
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12
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Crawford JE, Lazzaro BP. Assessing the accuracy and power of population genetic inference from low-pass next-generation sequencing data. Front Genet 2012; 3:66. [PMID: 22536207 PMCID: PMC3334522 DOI: 10.3389/fgene.2012.00066] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2012] [Accepted: 04/05/2012] [Indexed: 01/17/2023] Open
Abstract
Next-generation sequencing (NGS) technologies have made it possible to address population genetic questions in almost any system, but high error rates associated with such data can introduce significant biases into downstream analyses, necessitating careful experimental design and interpretation in studies based on short-read sequencing. Exploration of population genetic analyses based on NGS has revealed some of the potential biases, but previous work has emphasized parameters relevant to human population genetics and further examination of parameters relevant to other systems is necessary, including situations where sample sizes are small and genetic variation is high. To assess experimental power to address several principal objectives of population genetic studies under these conditions, we simulated population samples under selective sweep, population growth, and population subdivision models and tested the power to accurately infer population genetic parameters from sequence polymorphism data obtained through simulated 4×, 8×, and 15× read depth sequence data. We found that estimates of population genetic differentiation and population growth parameters were systematically biased when inference was based on 4× sequencing, but biases were markedly reduced at even 8× read depth. We also found that the power to identify footprints of positive selection depends on an interaction between read depth and the strength of selection, with strong selection being recovered consistently at all read depths, but weak selection requiring deeper read depths for reliable detection. Although we have explored only a small subset of the many possible experimental designs and population genetic models, using only one SNP-calling approach, our results reveal some general patterns and provide some assessment of what biases could be expected under similar experimental structures.
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13
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Ye YH, McGraw EA. Adult Drosophila melanogaster evolved for antibacterial defense invest in infection-induced expression of both humoral and cellular immunity genes. BMC Res Notes 2011; 4:305. [PMID: 21859495 PMCID: PMC3224532 DOI: 10.1186/1756-0500-4-305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2011] [Accepted: 08/23/2011] [Indexed: 12/16/2022] Open
Abstract
Background While the transcription of innate immunity genes in response to bacterial infection has been well-characterised in the Drosophila model, we recently demonstrated the capacity for such transcription to evolve in flies selected for improved antibacterial defense. Here we use this experimental system to examine how insects invest in constitutive versus infection-induced transcription of immunity genes. These two strategies carry with them different consequences with respect to energetic and pleiotropic costs and may be more or less effective in improving defense depending on whether the genes contribute to humoral or cellular aspects of immunity. Findings Contrary to expectation we show that selection preferentially increased the infection-induced expression of both cellular and humoral immunity genes. Given their functional roles, infection induced increases in expression were expected for the humoral genes, while increases in constitutive expression were expected for the cellular genes. We also report a restricted ability to improve transcription of immunity genes that is on the order of 2-3 fold regardless of total transcription level of the gene. Conclusions The evolved increases in infection-induced expression of the cellular genes may result from specific cross talk with humoral pathways or from generalised strategies for enhancing immunity gene transcription. A failure to see improvements in constitutive expression of the cellular genes suggests either that increases might come at too great a cost or that patterns of expression in adults are decoupled from the larval phase where increases would be most effective. The similarity in fold change increase across all immunity genes may suggest a shared mechanism for the evolution of increased transcription in small, discrete units such as duplication of cis-regulatory elements.
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Affiliation(s)
- Yixin H Ye
- School of Biological Sciences, Monash University, Melbourne, Vic 3800, Australia.
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