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      A comprehensive study of Z-DNA density and its evolutionary implications in birds

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          Abstract

          Background

          Z-DNA, a left-handed helical form of DNA, plays a significant role in genomic stability and gene regulation. Its formation, associated with high GC content and repetitive sequences, is linked to genomic instability, potentially leading to large-scale deletions and contributing to phenotypic diversity and evolutionary adaptation.

          Results

          In this study, we analyzed the density of Z-DNA-prone motifs of 154 avian genomes using the non-B DNA Motif Search Tool (nBMST). Our findings indicate a higher prevalence of Z-DNA motifs in promoter regions across all avian species compared to other genomic regions. A negative correlation was observed between Z-DNA density and developmental time in birds, suggesting that species with shorter developmental periods tend to have higher Z-DNA densities. This relationship implies that Z-DNA may influence the timing and regulation of development in avian species. Furthermore, Z-DNA density showed associations with traits such as body mass, egg mass, and genome size, highlighting the complex interactions between genome architecture and phenotypic characteristics. Gene Ontology (GO) analysis revealed that Z-DNA motifs are enriched in genes involved in nucleic acid binding, kinase activity, and translation regulation, suggesting a role in fine-tuning gene expression essential for cellular functions and responses to environmental changes. Additionally, the potential of Z-DNA to drive genomic instability and facilitate adaptive evolution underscores its importance in shaping phenotypic diversity.

          Conclusions

          This study emphasizes the role of Z-DNA as a dynamic genomic element contributing to gene regulation, genomic stability, and phenotypic diversity in avian species. Future research should experimentally validate these associations and explore the molecular mechanisms by which Z-DNA influences avian biology.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12864-024-11039-x.

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          Most cited references112

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          Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

          DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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            phytools: an R package for phylogenetic comparative biology (and other things)

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              DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update).

              DAVID is a popular bioinformatics resource system including a web server and web service for functional annotation and enrichment analyses of gene lists. It consists of a comprehensive knowledgebase and a set of functional analysis tools. Here, we report all updates made in 2021. The DAVID Gene system was rebuilt to gain coverage of more organisms, which increased the taxonomy coverage from 17 399 to 55 464. All existing annotation types have been updated, if available, based on the new DAVID Gene system. Compared with the last version, the number of gene-term records for most annotation types within the updated Knowledgebase have significantly increased. Moreover, we have incorporated new annotations in the Knowledgebase including small molecule-gene interactions from PubChem, drug-gene interactions from DrugBank, tissue expression information from the Human Protein Atlas, disease information from DisGeNET, and pathways from WikiPathways and PathBank. Eight of ten subgroups split from Uniprot Keyword annotation were assigned to specific types. Finally, we added a species parameter for uploading a list of gene symbols to minimize the ambiguity between species, which increases the efficiency of the list upload and eliminates confusion for users. These current updates have significantly expanded the Knowledgebase and enhanced the discovery power of DAVID.
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                Author and article information

                Contributors
                gcsng@life.nthu.edu.tw
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                21 November 2024
                21 November 2024
                2024
                : 25
                : 1123
                Affiliations
                [1 ]Institute of Molecular and Cellular Biology, National Tsing Hua University, ( https://ror.org/00zdnkx70) Hsinchu, 300044 Taiwan
                [2 ]GRID grid.36020.37, ISNI 0000 0000 8889 3720, National Center for High-performance Computing, , National Applied Research Laboratories, ; Hsinchu, 300092 Taiwan
                [3 ]Marine Research Station, Academia Sinica, ( https://ror.org/05bxb3784) Yilan, 262204 Taiwan
                [4 ]Okinawa Institute of Science and Technology, ( https://ror.org/02qg15b79) Okinawa, 904-0495 Japan
                [5 ]Department of Life Science, National Tsing Hua University, ( https://ror.org/00zdnkx70) Hsinchu, 300044 Taiwan
                [6 ]GRID grid.38348.34, ISNI 0000 0004 0532 0580, Institute of Biotechnology, , National Tsing Hua University, ; Hsinchu, 300044 Taiwan
                [7 ]Department of Medical Science, National Tsing Hua University, ( https://ror.org/00zdnkx70) Hsinchu, 300044 Taiwan
                [8 ]School of Medicine, National Tsing Hua University, ( https://ror.org/00zdnkx70) Hsinchu, 300044 Taiwan
                [9 ]GRID grid.260542.7, ISNI 0000 0004 0532 3749, Deparment of Animal Sciences, , National Chung Hsing University, ; Taichung, 402202 Taiwan
                [10 ]GRID grid.260542.7, ISNI 0000 0004 0532 3749, The iEGG and Animal Biotechnology Center, , National Chung Hsing University, ; Taichung, 402202 Taiwan
                [11 ]Bioresource Conservation Research Center, National Tsing Hua University, ( https://ror.org/00zdnkx70) Hsinchu, 300044 Taiwan
                Article
                11039
                10.1186/s12864-024-11039-x
                11580473
                39573987
                22119478-a747-4220-b7ba-58fa92b64ae1
                © 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/.

                History
                : 11 September 2024
                : 13 November 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100020595, National Science and Technology Council;
                Award ID: 107-2311-B-007-008-MY3
                Award ID: 107-2311-B-007-008-MY3
                Award ID: 107-2311-B-007-008-MY3
                Award ID: 107-2311-B-007-008-MY3
                Award ID: 107-2311-B-007-008-MY3
                Award ID: 107-2311-B-007-008-MY3
                Award ID: 107-2311-B-007-008-MY3
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Genetics
                Genetics

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