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      Urbanization is associated with non‐coding polymorphisms in candidate behavioural genes in the Eurasian coot

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          Abstract

          Extensive transformation of natural land cover into urbanized areas enhances accumulation of phenotypic differences between animals from urban and nonurban populations, but there is little information on whether these changes, especially in terms of animal behaviour and circadian rhythm, have a genetic basis. The aim of this study was to investigate genetic background of behavioural differences between four pairs of urban and nonurban populations of a common waterbird, the Eurasian coot Fulica atra. For this purpose, we quantified polymorphisms in personality‐related candidate genes, previously reported to be associated with avian circadian rhythms and behavioural traits that may be crucial for urban life. We found general associations between landscape urbanization level and polymorphisms in 3′UTR region of CREB1 gene encoding transcriptional factor, which participates in development of cognitive functions and regulation of circadian rhythm. We also found significant differentiation between urban and nonurban populations in the intronic region of CKIɛ gene responsible for regulation of circadian clock. Although we lacked evidence for linkage of this intronic variation with coding polymorphisms, genetic differentiation between urban populations was significantly stronger at CKIɛ intron compared with neutral microsatellite markers, suggesting possible local adaptations of CKIɛ expression regulation to specific urban sites. Our results indicate that behavioural differentiation between urban and nonurban coot populations may be the effect of habitat‐specific selective pressure resulting in genetic adaptations to urban environment and supporting the microevolutionary scenario. These adaptations, however, prevailed in non‐coding regulatory rather than coding gene regions and showed either general or local patterns, revealing high complexity of associations between behaviour and landscape urbanization in birds.

          Abstract

          In the study, we identified polymorphisms in behavioural genes in four pairs of urban and nonurban populations of the Eurasian coot (a common waterbird) to test for their associations with landscape urbanization level. For the study, we have chosen 10 candidate genes previously reported to be associated with aggression, exploratory behaviour, circadian rhythm, cognition and migration in birds. We showed conspicuous associations between CREB1 3′UTR genotypes and the level of landscape urbanization and also recorded strong differentiation at CKIɛ intronic region among urban populations, either suggesting local adaptations through linkage with polymorphisms in coding regions or adaptations of gene expression regulation to particular urban sites.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Fitting Linear Mixed-Effects Models Using lme4

            Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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              DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets.

              We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.
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                Author and article information

                Contributors
                chybamelia@gmail.com
                pminias@op.pl
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                01 October 2023
                October 2023
                : 13
                : 10 ( doiID: 10.1002/ece3.v13.10 )
                : e10572
                Affiliations
                [ 1 ] Department of Biodiversity Studies and Bioeducation, Faculty of Biology and Environmental Protection University of Łódź Łódź Poland
                [ 2 ] Faculty of Biology, Biological and Chemical Research Centre University of Warsaw Warsaw Poland
                [ 3 ] Roy J. Carver Biotechnology Center University of Illinois at Urbana‐Champaign Urbana Illinois USA
                Author notes
                [*] [* ] Correspondence

                Amelia Chyb and Piotr Minias, Department of Biodiversity Studies and Bioeducation, Faculty of Biology and Environmental Protection, University of Łódź, Banacha 1/3, 90‐237, Łódź, Poland.

                Email: chybamelia@ 123456gmail.com and pminias@ 123456op.pl

                Author information
                https://orcid.org/0000-0001-5325-7182
                Article
                ECE310572 ECE-2023-06-01051.R1
                10.1002/ece3.10572
                10542476
                37791294
                b613b79c-af7a-4014-9e90-c9cee9c34c35
                © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 September 2023
                : 22 June 2023
                : 15 September 2023
                Page count
                Figures: 4, Tables: 3, Pages: 12, Words: 9542
                Funding
                Funded by: Narodowe Centrum Nauki , doi 10.13039/501100004281;
                Award ID: 2020/38/E/NZ8/00143
                Categories
                Population Genetics
                Urban Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:01.10.2023

                Evolutionary Biology
                candidate genes,circadian rhythm,ckiɛ,cognition,creb1,eurasian coot,urbanization
                Evolutionary Biology
                candidate genes, circadian rhythm, ckiɛ, cognition, creb1, eurasian coot, urbanization

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