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      Possible origins and implications of atypical morphologies and domestication-like traits in wild golden jackals ( Canis aureus)

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          Abstract

          Deciphering the origins of phenotypic variations in natural animal populations is a challenging topic for evolutionary and conservation biologists. Atypical morphologies in mammals are usually attributed to interspecific hybridisation or de-novo mutations. Here we report the case of four golden jackals ( Canis aureus), that were observed during a camera-trapping wildlife survey in Northern Israel, displaying anomalous morphological traits, such as white patches, an upturned tail, and long thick fur which resemble features of domesticated mammals. Another individual was culled under permit and was genetically and morphologically examined. Paternal and nuclear genetic profiles, as well as geometric morphometric data, identified this individual as a golden jackal rather than a recent dog/wolf-jackal hybrid. Its maternal haplotype suggested past introgression of African wolf ( Canis lupaster) mitochondrial DNA, as previously documented in other jackals from Israel. When viewed in the context of the jackal as an overabundant species in Israel, the rural nature of the surveyed area, the abundance of anthropogenic waste, and molecular and morphological findings, the possibility of an individual presenting incipient stages of domestication should also be considered.

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          The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research

          Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the reporting of animal research. They consist of a checklist of information to include in publications describing in vivo experiments to enable others to scrutinise the work adequately, evaluate its methodological rigour, and reproduce the methods and results. Despite considerable levels of endorsement by funders and journals over the years, adherence to the guidelines has been inconsistent, and the anticipated improvements in the quality of reporting in animal research publications have not been achieved. Here, we introduce ARRIVE 2.0. The guidelines have been updated and information reorganised to facilitate their use in practice. We used a Delphi exercise to prioritise and divide the items of the guidelines into 2 sets, the “ARRIVE Essential 10,” which constitutes the minimum requirement, and the “Recommended Set,” which describes the research context. This division facilitates improved reporting of animal research by supporting a stepwise approach to implementation. This helps journal editors and reviewers verify that the most important items are being reported in manuscripts. We have also developed the accompanying Explanation and Elaboration (E&E) document, which serves (1) to explain the rationale behind each item in the guidelines, (2) to clarify key concepts, and (3) to provide illustrative examples. We aim, through these changes, to help ensure that researchers, reviewers, and journal editors are better equipped to improve the rigour and transparency of the scientific process and thus reproducibility.
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            DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

            DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Freely available to academic users from: (http://www.ub.edu/dnasp).
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              GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

              Summary: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G′ST, G′′ST, Jost’s D est and F′ST through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au
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                Author and article information

                Contributors
                romolo.caniglia@isprambiente.it
                dayant@tauex.tau.ac.il
                yarond@gri.org.il
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                6 May 2023
                6 May 2023
                2023
                : 13
                : 7388
                Affiliations
                [1 ]GRID grid.12136.37, ISNI 0000 0004 1937 0546, School of Zoology and The Steinhardt Museum of Natural History, , Tel Aviv University, ; Tel Aviv, Israel
                [2 ]GRID grid.18098.38, ISNI 0000 0004 1937 0562, Unit of Agrigenomics, , Shamir Research Institute, University of Haifa, ; 1290000, Kazerin, Israel
                [3 ]GRID grid.18098.38, ISNI 0000 0004 1937 0562, The Cheryl Spencer Department of Nursing and The Cheryl Spencer Institute of Nursing Research, , University of Haifa, ; 3498838 Haifa, Israel
                [4 ]Unit for Conservation Genetics (BIO‑CGE), Italian Institute for Environmental Protection and Research (ISPRA), Via Cà Fornacetta 9, Ozzano dell’Emilia, 40064 Bologna, Italy
                [5 ]GRID grid.18098.38, ISNI 0000 0004 1937 0562, Department of Geography and Environmental Studies, , University of Haifa, ; 3498838 Haifa, Israel
                [6 ]GRID grid.22098.31, ISNI 0000 0004 1937 0503, The Azrieli Faculty of Medicine, , Bar Ilan University, ; 8 Henrietta Szold St, Safed, Israel
                Author information
                https://orcid.org/0000-0003-3451-4889
                https://orcid.org/0000-0002-8946-931X
                https://orcid.org/0000-0001-5893-5237
                https://orcid.org/0000-0002-9957-8202
                https://orcid.org/0000-0001-6172-0253
                https://orcid.org/0000-0002-7606-3548
                https://orcid.org/0000-0002-7522-7213
                https://orcid.org/0000-0001-9682-6875
                https://orcid.org/0000-0002-3641-9490
                https://orcid.org/0000-0001-8904-6205
                https://orcid.org/0000-0003-1853-9920
                Article
                34533
                10.1038/s41598-023-34533-w
                10164184
                37149712
                964cee13-27ff-4def-9065-3832ec474c7b
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 December 2022
                : 3 May 2023
                Categories
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                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                evolutionary biology,genetic markers,evolutionary ecology
                Uncategorized
                evolutionary biology, genetic markers, evolutionary ecology

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