Back to results

Virginia Tech

Computational Insights into Evolutionary Dynamics of Human and Primate Genes

Abstract

dc:description.abstract

The evolutionary history of genes across different species is a subject of research interest. For human genes, there is a particular focus on investigating the possible origins of genes. However, there has been limited research on the development process from an evolutionary perspective. Additionally, most previous studies have focused on model organisms and representative organisms from various eras, with less attention given to primates, which are evolutionarily more closely-related to humans. With the advancement of whole genome sequencing of primates, investigating the genes of various primate species has become a viable possibility. This dissertation work integrates computational insights into the topics of primate and human gene emergence, conservation, and loss. Specifically, this series of studies contributes to three aspects of the topic: (1) the environmental conditions in evolution history that are associated with the emergence of primate and human de novo genes, (2) the evolutionary dynamics of human cancer genes in primates, and (3) gene conservation and loss in primates. Results reveal that primate and human de novo genes and cancer genes share similarities in the time of emergence, peaking later than random human genes and tending to occur in local warm periods in the context of an overall trend of decreasing global surface temperature. Cancer genes are more conserved in their evolutionary origins than random human genes, with two peaks of emergence, one before primates and the other within 20 million years, and have different patterns within the two time periods. Genes with high expression in the human brain exhibit more conservation in their evolutionary origins than those in the immune system or random genes. On the other hand, genes expressed highly in the mouse brain tend to be either prevalent in primates or specific to mouse. Overall, this dissertation work charts the evolutionary history of a number of distinct primate and human genes, elucidates the potential association of ancient environmental factors with primate genomes, provides insights into the origin, conservation, and emergence of cancer genes in primates, as well as examines the conservation and loss of genes in different tissues. The hope is that these results will contribute to a greater understanding of the picture of gene evolution in primate and human genomes.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Computer Science & Applications
Department dc:contributor.department
Computer Science and Applications
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Liang, Xiao
Chair dc:contributor.committeechair
  • Heath, Lenwood S.
Committee members dc:contributor.committeemember
  • Zhang, Liqing
  • Pruden, Amy
  • Meng, Na
  • Yeung, Ka Yee

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:40602
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/119337

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Liang, Xiao. Computational Insights into Evolutionary Dynamics of Human and Primate Genes. doctoral thesis, Virginia Tech, 2024. https://hdl.handle.net/10919/119337