Genomic Signature in Evolutionary Biology: A Review
Organisms are unique physical entities in which information is stored and continuously processed. The digital nature of DNA sequences enables the construction of a dynamic information reservoir. However, the distinction between the hardware and software components in the information flow is crucial...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/12/2/322 |
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| author | Rebeca de la Fuente Wladimiro Díaz-Villanueva Vicente Arnau Andrés Moya |
| author_facet | Rebeca de la Fuente Wladimiro Díaz-Villanueva Vicente Arnau Andrés Moya |
| author_sort | Rebeca de la Fuente |
| collection | DOAJ |
| description | Organisms are unique physical entities in which information is stored and continuously processed. The digital nature of DNA sequences enables the construction of a dynamic information reservoir. However, the distinction between the hardware and software components in the information flow is crucial to identify the mechanisms generating specific genomic signatures. In this work, we perform a bibliometric analysis to identify the different purposes of looking for particular patterns in DNA sequences associated with a given phenotype. This study has enabled us to make a conceptual breakdown of the genomic signature and differentiate the leading applications. On the one hand, it refers to gene expression profiling associated with a biological function, which may be shared across taxa. This signature is the focus of study in precision medicine. On the other hand, it also refers to characteristic patterns in species-specific DNA sequences. This interpretation plays a key role in comparative genomics, identifying evolutionary relationships. Looking at the relevant studies in our bibliographic database, we highlight the main factors causing heterogeneities in genome composition and how they can be quantified. All these findings lead us to reformulate some questions relevant to evolutionary biology. |
| first_indexed | 2024-03-11T09:07:59Z |
| format | Article |
| id | doaj.art-65102695c4194979af57f7d402caad8e |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-11T09:07:59Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-65102695c4194979af57f7d402caad8e2023-11-16T19:14:48ZengMDPI AGBiology2079-77372023-02-0112232210.3390/biology12020322Genomic Signature in Evolutionary Biology: A ReviewRebeca de la Fuente0Wladimiro Díaz-Villanueva1Vicente Arnau2Andrés Moya3Institute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, SpainInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, SpainInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, SpainInstitute of Integrative Systems Biology (I2Sysbio), University of Valencia and Spanish Research Council (CSIC), 46980 Valencia, SpainOrganisms are unique physical entities in which information is stored and continuously processed. The digital nature of DNA sequences enables the construction of a dynamic information reservoir. However, the distinction between the hardware and software components in the information flow is crucial to identify the mechanisms generating specific genomic signatures. In this work, we perform a bibliometric analysis to identify the different purposes of looking for particular patterns in DNA sequences associated with a given phenotype. This study has enabled us to make a conceptual breakdown of the genomic signature and differentiate the leading applications. On the one hand, it refers to gene expression profiling associated with a biological function, which may be shared across taxa. This signature is the focus of study in precision medicine. On the other hand, it also refers to characteristic patterns in species-specific DNA sequences. This interpretation plays a key role in comparative genomics, identifying evolutionary relationships. Looking at the relevant studies in our bibliographic database, we highlight the main factors causing heterogeneities in genome composition and how they can be quantified. All these findings lead us to reformulate some questions relevant to evolutionary biology.https://www.mdpi.com/2079-7737/12/2/322genomic signaturechaos game representationgenome sequencealignment-free methodsevolutionary biology |
| spellingShingle | Rebeca de la Fuente Wladimiro Díaz-Villanueva Vicente Arnau Andrés Moya Genomic Signature in Evolutionary Biology: A Review Biology genomic signature chaos game representation genome sequence alignment-free methods evolutionary biology |
| title | Genomic Signature in Evolutionary Biology: A Review |
| title_full | Genomic Signature in Evolutionary Biology: A Review |
| title_fullStr | Genomic Signature in Evolutionary Biology: A Review |
| title_full_unstemmed | Genomic Signature in Evolutionary Biology: A Review |
| title_short | Genomic Signature in Evolutionary Biology: A Review |
| title_sort | genomic signature in evolutionary biology a review |
| topic | genomic signature chaos game representation genome sequence alignment-free methods evolutionary biology |
| url | https://www.mdpi.com/2079-7737/12/2/322 |
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