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An Evolution-Based Screen for Genetic Differentiation between Anopheles Sister Taxa Enriches for Detection of Functional Immune Factors
- Source :
- PLoS Pathogens, PLoS Pathogens, 2015, 11 (12), pp.e1005306. ⟨10.1371/journal.ppat.1005306⟩, PLoS Pathogens, Public Library of Science, 2015, 11 (12), pp.e1005306. ⟨10.1371/journal.ppat.1005306⟩, PLoS Pathogens, Vol 11, Iss 12, p e1005306 (2015)
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- Nucleotide variation patterns across species are shaped by the processes of natural selection, including exposure to environmental pathogens. We examined patterns of genetic variation in two sister species, Anopheles gambiae and Anopheles coluzzii, both efficient natural vectors of human malaria in West Africa. We used the differentiation signature displayed by a known coordinate selective sweep of immune genes APL1 and TEP1 in A. coluzzii to design a population genetic screen trained on the sweep, classified a panel of 26 potential immune genes for concordance with the signature, and functionally tested their immune phenotypes. The screen results were strongly predictive for genes with protective immune phenotypes: genes meeting the screen criteria were significantly more likely to display a functional phenotype against malaria infection than genes not meeting the criteria (p = 0.0005). Thus, an evolution-based screen can efficiently prioritize candidate genes for labor-intensive downstream functional testing, and safely allow the elimination of genes not meeting the screen criteria. The suite of immune genes with characteristics similar to the APL1-TEP1 selective sweep appears to be more widespread in the A. coluzzii genome than previously recognized. The immune gene differentiation may be a consequence of adaptation of A. coluzzii to new pathogens encountered in its niche expansion during the separation from A. gambiae, although the role, if any of natural selection by Plasmodium is unknown. Application of the screen allowed identification of new functional immune factors, and assignment of new functions to known factors. We describe biochemical binding interactions between immune proteins that underlie functional activity for malaria infection, which highlights the interplay between pathogen specificity and the structure of immune complexes. We also find that most malaria-protective immune factors display phenotypes for either human or rodent malaria, with broad specificity a rarity.<br />Author Summary Anopheles gambiae and Anopheles coluzzii are the primary mosquito vectors of human malaria in West Africa. Both of these closely related species efficiently transmit the disease, although they display ecological differences. Previous work showed that A. coluzzii displays distinct genetic patterns in genes important for mosquito immunity. Here, we use this genetic pattern as a filter to examine a panel of potential immune genes, and show that the genetic pattern is strongly predictive for genes that play a functional role in immunity when tested with malaria parasites.
- Subjects :
- Candidate gene
Anopheles gambiae
Genes, Insect
MESH: Genes, Insect
MESH: Base Sequence
Polymerase Chain Reaction
Mice
MESH: Insect Proteins
MESH: Animals
MESH: Genetic Variation
lcsh:QH301-705.5
MESH: Evolution, Molecular
Genetics
education.field_of_study
Natural selection
Anopheles
Phenotype
3. Good health
Insect Proteins
Research Article
lcsh:Immunologic diseases. Allergy
Molecular Sequence Data
Immunology
Population
MESH: Malaria
MESH: Insect Vectors
Biology
Microbiology
Evolution, Molecular
MESH: Anopheles
Virology
[SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology
Animals
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
education
Molecular Biology
MESH: Mice
MESH: Molecular Sequence Data
Base Sequence
Genetic Variation
Correction
MESH: Polymerase Chain Reaction
biology.organism_classification
Insect Vectors
Malaria
lcsh:Biology (General)
Parasitology
lcsh:RC581-607
Selective sweep
Genetic screen
Subjects
Details
- Language :
- English
- ISSN :
- 15537366 and 15537374
- Database :
- OpenAIRE
- Journal :
- PLoS Pathogens, PLoS Pathogens, 2015, 11 (12), pp.e1005306. ⟨10.1371/journal.ppat.1005306⟩, PLoS Pathogens, Public Library of Science, 2015, 11 (12), pp.e1005306. ⟨10.1371/journal.ppat.1005306⟩, PLoS Pathogens, Vol 11, Iss 12, p e1005306 (2015)
- Accession number :
- edsair.doi.dedup.....5d46601ee09714a9424cfd1a5aa9681c