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      Paralogues From the Expanded Tlr11 Gene Family in Mudskipper ( Boleophthalmus pectinirostris) Are Under Positive Selection and Respond Differently to LPS/Poly(I:C) Challenge

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          Abstract

          Toll-like receptors (TLRs) are major molecular pattern recognition receptors, which are essential for triggering a series of innate immune responses against invading pathogens by recognizing their evolutionary conserved molecular patterns. The mudskipper, Boleophthalmus pectinirostris is exceptional among fishes due to its amphibious lifestyle and adaptation to living on mudflats. The whole-genome sequencing of B. pectinirostris has revealed that this species possesses an expansion of Tlr11 family [12 Tlr11 family genes (one tlr21, 4 tlr22, and 7 tlr23)] that we focused on in the present study. The full-length cDNA sequences of the 12 tlrs in B. pectinirostris were cloned and their deduced amino acid sequences possessed a typical TLR domain arrangement. Likelihood tests of selection revealed that these 12 Tlr11 family genes are under diversifying selection. A total of 13 sites were found to be positively selected by more than one evolution model, of which 11 were located in the ligand-binding ectodomain. The observed non-synonymous substitutions may have functional implications in antigen and pathogen recognition specificity. These 12 tlrs were highly expressed in immune-related tissues, i.e. spleen and kidney. Tlr21 and tlr22b transcripts were significantly up-regulated by LPS, whereas tlr22a, tlr22d, tlr23b, tlr23e, tlr23g were significantly up-regulated by poly(I:C) in the spleen or/and kidney, which implies that the expanded Tlr11 family genes may play roles in protecting the fish from the invasion of gram-negative bacteria and double-stranded RNA viruses. The results from the present study suggested that the expansion of Tlr11 family genes in B. pectinirostris may recognize ligands from various pathogens found in the intertidal zone.

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          Codon-substitution models for heterogeneous selection pressure at amino acid sites.

          Comparison of relative fixation rates of synonymous (silent) and nonsynonymous (amino acid-altering) mutations provides a means for understanding the mechanisms of molecular sequence evolution. The nonsynonymous/synonymous rate ratio (omega = d(N)d(S)) is an important indicator of selective pressure at the protein level, with omega = 1 meaning neutral mutations, omega 1 diversifying positive selection. Amino acid sites in a protein are expected to be under different selective pressures and have different underlying omega ratios. We develop models that account for heterogeneous omega ratios among amino acid sites and apply them to phylogenetic analyses of protein-coding DNA sequences. These models are useful for testing for adaptive molecular evolution and identifying amino acid sites under diversifying selection. Ten data sets of genes from nuclear, mitochondrial, and viral genomes are analyzed to estimate the distributions of omega among sites. In all data sets analyzed, the selective pressure indicated by the omega ratio is found to be highly heterogeneous among sites. Previously unsuspected Darwinian selection is detected in several genes in which the average omega ratio across sites is 1. Genes undergoing positive selection include the beta-globin gene from vertebrates, mitochondrial protein-coding genes from hominoids, the hemagglutinin (HA) gene from human influenza virus A, and HIV-1 env, vif, and pol genes. Tests for the presence of positively selected sites and their subsequent identification appear quite robust to the specific distributional form assumed for omega and can be achieved using any of several models we implement. However, we encountered difficulties in estimating the precise distribution of omega among sites from real data sets.
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            The evolutionary dynamics of eukaryotic gene order.

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              Segmental duplications and copy-number variation in the human genome.

              The human genome contains numerous blocks of highly homologous duplicated sequence. This higher-order architecture provides a substrate for recombination and recurrent chromosomal rearrangement associated with genomic disease. However, an assessment of the role of segmental duplications in normal variation has not yet been made. On the basis of the duplication architecture of the human genome, we defined a set of 130 potential rearrangement hotspots and constructed a targeted bacterial artificial chromosome (BAC) microarray (with 2,194 BACs) to assess copy-number variation in these regions by array comparative genomic hybridization. Using our segmental duplication BAC microarray, we screened a panel of 47 normal individuals, who represented populations from four continents, and we identified 119 regions of copy-number polymorphism (CNP), 73 of which were previously unreported. We observed an equal frequency of duplications and deletions, as well as a 4-fold enrichment of CNPs within hotspot regions, compared with control BACs (P 4-fold within regions of CNP. Almost without exception, CNPs were not confined to a single population, suggesting that these either are recurrent events, having occurred independently in multiple founders, or were present in early human populations. Our study demonstrates that segmental duplications define hotspots of chromosomal rearrangement, likely acting as mediators of normal variation as well as genomic disease, and it suggests that the consideration of genomic architecture can significantly improve the ascertainment of large-scale rearrangements. Our specialized segmental duplication BAC microarray and associated database of structural polymorphisms will provide an important resource for the future characterization of human genomic disorders.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                28 February 2019
                2019
                : 10
                : 343
                Affiliations
                [1] 1State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University , Xiamen, China
                [2] 2Faculty of Biosciences and Aquaculture, Nord University , Bodø, Norway
                [3] 3Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources , Xiamen, China
                [4] 4Shenzhen Key Laboratory of Marine Genomics, Marine and Fisheries Institute, BGI-Shenzhen , Shenzhen, China
                [5] 5State-Province Joint Engineering Laboratory of Marine Bioproducts and Technology, Xiamen University , Xiamen, China
                Author notes

                Edited by: Alexandre Corthay, Oslo University Hospital, Norway

                Reviewed by: Maria Rosaria Coscia, Istituto di Biochimica delle Proteine (IBP), Italy; Rowena Hoare, University of Stirling, United Kingdom; Lora Petrie-Hanson, Mississippi State University, United States

                *Correspondence: Shi Xi Chen chenshixi@ 123456xmu.edu.cn

                This article was submitted to Molecular Innate Immunity, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2019.00343
                6403153
                9e796880-12f2-40eb-805c-b2a13c053667
                Copyright © 2019 Qiu, Fernandes, Hong, Wu, Zhang, Huang, Liu, Yu, Wang, You and Chen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 December 2018
                : 11 February 2019
                Page count
                Figures: 12, Tables: 3, Equations: 0, References: 75, Pages: 20, Words: 10031
                Funding
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 31672628
                Categories
                Immunology
                Original Research

                Immunology
                boleophthalmus pectinirostris,tlr21,tlr22,tlr23,innate immunity,positive selection,lps,poly(i:c)
                Immunology
                boleophthalmus pectinirostris, tlr21, tlr22, tlr23, innate immunity, positive selection, lps, poly(i:c)

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