Simulation of Chordate Intron Evolution Using Randomly Generated and Mutated Base Sequences. (January 2020)
- Record Type:
- Journal Article
- Title:
- Simulation of Chordate Intron Evolution Using Randomly Generated and Mutated Base Sequences. (January 2020)
- Main Title:
- Simulation of Chordate Intron Evolution Using Randomly Generated and Mutated Base Sequences
- Authors:
- Wang, Guang-Dong
Wang, Yong
Zeng, Zhen
Mao, Jun-Ming
He, Qin-Liu
Yao, Qin
Chen, Ke-Ping - Abstract:
- Introns are well known for their high variation not only in length but also in base sequence. The evolution of intron sequences has aroused broad interest in the past decades. However, very little is known about the evolutionary pattern of introns due to the lack of efficient analytical method. In this study, we designed 2 evolutionary models, that is, mutation-and-deletion (MD) and mutation-and-insertion (MI), to simulate intron evolution using randomly generated and mutated bases by referencing to the phylogenetic tree constructed using 14 chordate introns from TF4 (transcription factor–like protein 4) gene. A comparison of attributes between model-generated sequences and chordate introns showed that the MD model with proper parameter settings could generate sequences that have attributes matchable to chordate introns, whereas the MI model with any parameter settings failed in doing so. These data suggest that the surveyed chordate introns have evolved from a long ancestral sequence through gradual reduction in length. The established methodology provides an effective measure to study the evolutionary pattern of intron sequences from organisms of various taxonomic groups. (C++ scripts of MD and MI models are available upon request.)
- Is Part Of:
- Evolutionary bioinformatics online. Volume 16(2020)
- Journal:
- Evolutionary bioinformatics online
- Issue:
- Volume 16(2020)
- Issue Display:
- Volume 16, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 2020
- Issue Sort Value:
- 2020-0016-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Introns-early theory -- introns-late theory -- evolutionary model -- mutation-and-deletion -- mutation-and-insertion
Bioinformatics -- Periodicals
Evolutionary computation -- Periodicals
Genetic programming (Computer science) -- Periodicals
Computational Biology
Evolution, Molecular
Bioinformatics
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576.8 - Journal URLs:
- http://insights.sagepub.com/journal-evolutionary-bioinformatics-j17 ↗
http://www.uk.sagepub.com/home.nav ↗
http://www.la-press.com/evolutionary-bioinformatics-journal-j17 ↗
http://bibpurl.oclc.org/web/38943 ↗ - DOI:
- 10.1177/1176934320903108 ↗
- Languages:
- English
- ISSNs:
- 1176-9343
- Deposit Type:
- Legaldeposit
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