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      Evidence for Divergent Selection on Immune Genes between the African Malaria Vectors, Anopheles coluzzii and A. gambiae

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          Abstract

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          A comparison of the genomes of the African malaria vectors, Anopheles gambiae and A. coluzzii, revealed that immune genes are highly diverged. Although these two species frequently co-occur within a single site, they occur in distinct larval habitats. Our results taken in the context of known differences in the larval habitats occupied by these taxa support the hypothesis that observed genetic divergence may be driven by immune response to microbial agents specific to these habitats. Strict within species mating may have subsequently evolved in part to maintain immunocompetence which might be compromised by dysregulation of immune pathways in hybrids. We conclude that the evolution of immune gene divergence among this important group of species may serve as a useful model to explore ecological speciation in general.

          Abstract

          During their life cycles, microbes infecting mosquitoes encounter components of the mosquito anti-microbial innate immune defenses. Many of these immune responses also mediate susceptibility to malaria parasite infection. In West Africa, the primary malaria vectors are Anopheles coluzzii and A. gambiae sensu stricto, which is subdivided into the Bamako and Savanna sub-taxa. Here, we performed whole genome comparisons of the three taxa as well as genotyping of 333 putatively functional SNPs located in 58 immune signaling genes. Genome data support significantly higher differentiation in immune genes compared with a randomly selected set of non-immune genes among the three taxa (permutation test p < 0.001). Among the 58 genes studied, the majority had one or more segregating mutations (72.9%) that were significantly diverged among the three taxa. Genes detected to be under selection include MAP2K4 and Raf. Despite the genome-wide distribution of immune genes, a high level of linkage disequilibrium (r 2 > 0.8) was detected in over 27% of SNP pairs. We discuss the potential role of immune gene divergence as adaptations to the different larval habitats associated with A. gambiae taxa and as a potential force driving ecological speciation in this group of mosquitoes.

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Cytoscape: a software environment for integrated models of biomolecular interaction networks.

            Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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              The variant call format and VCFtools

              Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API. Availability: http://vcftools.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Journal
                Insects
                Insects
                insects
                Insects
                MDPI
                2075-4450
                18 December 2020
                December 2020
                : 11
                : 12
                : 893
                Affiliations
                [1 ]Vector Genetics Laboratory, University of California, Davis, CA 95616, USA; yoosook.lee@ 123456ufl.edu (Y.L.); tccollier@ 123456ucdavis.edu (T.C.C.); bmain@ 123456ucdavis.edu (B.J.M.); laura.norris@ 123456gatesfoundation.org (L.C.N.); ajcornel@ 123456ucanr.edu (A.J.C.)
                [2 ]Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
                [3 ]Florida Medical Entomology Laboratory, University of Florida, Vero Beach, FL 32962, USA
                [4 ]Department of Medical Microbiology and Immunology, University of California, Davis, CA 95616, USA; lsouvannaseng@ 123456ucdavis.edu
                [5 ]Malaria Research and Training Center, School of Medicine, University of Bamako, Bamako B.P.2528, Mali; afofana@ 123456icermali.org (A.F.); cheick@ 123456icermali.org (S.F.T.)
                [6 ]Department of Entomology and Nematology, University of California, Davis, CA 95616, USA
                [7 ]Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, ID 83844, USA; sluckhart@ 123456uidaho.edu
                [8 ]Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA
                Author notes
                [* ]Correspondence: gclanzaro@ 123456ucdavis.edu ; Tel.: +1-530-752-5652
                Author information
                https://orcid.org/0000-0002-1392-7177
                https://orcid.org/0000-0002-8564-2023
                https://orcid.org/0000-0003-1190-9810
                Article
                insects-11-00893
                10.3390/insects11120893
                7767042
                33352887
                fe14994e-3499-4342-be98-36f183c38ca6
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 October 2020
                : 14 December 2020
                Categories
                Article

                immune genes,ecological divergence,anopheles coluzzii

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