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      Transcriptome analysis of sexual dimorphism in dorsal down coloration in goslings

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          Abstract

          Background

          In day-old Hungarian white goose goslings, there is a noticeable difference in dorsal down coloration between males and females, with females having darker dorsal plumage and males having lighter plumage. The ability to autosex day-old goslings based on their dorsal down coloration is important for managing them efficiently and planning their nutrition in the poultry industry. The aim of this study was to determine the biological and genetic factors underlying this difference in dorsal down colorationthrough histological analysis, biochemical assays, transcriptomic profiling, and q‒PCR analysis.

          Results

          Tissue analysis and biochemical assays revealed that compared with males, 17-day-old embryos and day-old goslings of female geese exhibited a greater density of melanin-containing feather follicles and a greater melanin concentration in these follicles during development. Both female and male goslings had lower melanin concentrations in their dorsal skin compared to 17-day-old embryos. Transcriptome analysis identified a set of differentially expressed genes (DEGs) ( MC1R, TYR, TYRP1, DCT and MITF) associated with melanogenesis pathways that were downregulated or silenced specifically in the dorsal skin of day-old goslings compared to 17-day-old embryos, affecting melanin synthesis in feather follicles. Additionally, two key genes ( MC1R and MITF) associated with feather coloration showed differences between males and females, with females having higher expression levels correlated with increased melanin synthesis and darker plumage.

          Conclusion

          The expression of multiple melanogenesis genes determines melanin synthesis in goose feather follicles. The dorsal down coloration of day-old Hungarian white goose goslings shows sexual dimorphism, likely due to differences in the expression of the MC1R and MITF genes between males and females. These results could help us better understand why male and female goslings exhibit different plumage patterns.

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          Most cited references67

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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              Gene Ontology: tool for the unification of biology

              Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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                Author and article information

                Contributors
                shwaterfowl@163.com
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                22 May 2024
                22 May 2024
                2024
                : 25
                : 505
                Affiliations
                [1 ]Shanghai Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Science, ( https://ror.org/04ejmmq75) Shanghai, China
                [2 ]GRID grid.464332.4, Chinese Academy of Agricultural Sciences, , Institute of Animal Sciences, ; Beijing, China
                [3 ]Shandong Rongda Agricultural Development Co., Ltd, Shandong, China
                Article
                10394
                10.1186/s12864-024-10394-z
                11110362
                38778258
                fc112d42-7b68-4946-9c45-3e47b8238226
                © The Author(s) 2024

                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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 November 2023
                : 8 May 2024
                Funding
                Funded by: China Agriculture Research System of MOF and MARA
                Award ID: CARS-42-7
                Award ID: CARS-42-7
                Award ID: CARS-42-7
                Award ID: CARS-42-7
                Award ID: CARS-42-7
                Award ID: CARS-42-7
                Award Recipient :
                Funded by: The SAAS Program for Excellent Research Team
                Award ID: 2022-021
                Award ID: 2022-021
                Award ID: 2022-021
                Award ID: 2022-021
                Award ID: 2022-021
                Award ID: 2022-021
                Award Recipient :
                Funded by: The Special Project of Modern Agriculture
                Award ID: 2021Z131
                Award ID: 2021Z131
                Award ID: 2021Z131
                Award ID: 2021Z131
                Award ID: 2021Z131
                Award ID: 2021Z131
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Genetics
                sexual dimorphism,autosexing,transcriptome analysis,goose
                Genetics
                sexual dimorphism, autosexing, transcriptome analysis, goose

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