Matching Items (4)
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- All Subjects: Evolution
- All Subjects: Sex Chromosomes
- All Subjects: Green anole--Evolution.
- Genre: Academic theses
- Creators: Aktipis, Athena
- Creators: Banovich, Nicholas
- Member of: Theses and Dissertations
Description
In species with highly heteromorphic sex chromosomes, the degradation of one of the sex chromosomes can result in unequal gene expression between the sexes (e.g., between XX females and XY males) and between the sex chromosomes and the autosomes. Dosage compensation is a process whereby genes on the sex chromosomes achieve equal gene expression which prevents deleterious side effects from having too much or too little expression of genes on sex chromsomes. The green anole is part of a group of species that recently underwent an adaptive radiation. The green anole has XX/XY sex determination, but the content of the X chromosome and its evolution have not been described. Given its status as a model species, better understanding the green anole genome could reveal insights into other species. Genomic analyses are crucial for a comprehensive picture of sex chromosome differentiation and dosage compensation, in addition to understanding speciation.
In order to address this, multiple comparative genomics and bioinformatics analyses were conducted to elucidate patterns of evolution in the green anole and across multiple anole species. Comparative genomics analyses were used to infer additional X-linked loci in the green anole, RNAseq data from male and female samples were anayzed to quantify patterns of sex-biased gene expression across the genome, and the extent of dosage compensation on the anole X chromosome was characterized, providing evidence that the sex chromosomes in the green anole are dosage compensated.
In addition, X-linked genes have a lower ratio of nonsynonymous to synonymous substitution rates than the autosomes when compared to other Anolis species, and pairwise rates of evolution in genes across the anole genome were analyzed. To conduct this analysis a new pipeline was created for filtering alignments and performing batch calculations for whole genome coding sequences. This pipeline has been made publicly available.
In order to address this, multiple comparative genomics and bioinformatics analyses were conducted to elucidate patterns of evolution in the green anole and across multiple anole species. Comparative genomics analyses were used to infer additional X-linked loci in the green anole, RNAseq data from male and female samples were anayzed to quantify patterns of sex-biased gene expression across the genome, and the extent of dosage compensation on the anole X chromosome was characterized, providing evidence that the sex chromosomes in the green anole are dosage compensated.
In addition, X-linked genes have a lower ratio of nonsynonymous to synonymous substitution rates than the autosomes when compared to other Anolis species, and pairwise rates of evolution in genes across the anole genome were analyzed. To conduct this analysis a new pipeline was created for filtering alignments and performing batch calculations for whole genome coding sequences. This pipeline has been made publicly available.
ContributorsRupp, Shawn Michael (Author) / Wilson Sayres, Melissa A (Thesis advisor) / Kusumi, Kenro (Committee member) / DeNardo, Dale (Committee member) / Arizona State University (Publisher)
Created2016
Description
Resource transfers can confer many adaptive benefits such as specialization, helping genetically related individuals, future compensation, and risk-pooling. Need-based transfers are a risk-pooling mechanism in which partners mitigate unpredictable losses by transferring resources based on need. Need-based transfers are likely to be most useful for resources that are necessary and unpredictable because being unable to reliably obtain essential resources would be devastating. However, need-based transfers make people vulnerable to two types of exploitation: a person can be greedy by asking when not in need and a person with a surplus of resources can be stingy by not giving to someone in need. Previous research suggests that people might have cognitive mechanisms for detecting greediness and stinginess, which would serve to protect against exploitation by cheaters. This study investigated whether resources that are necessary and unpredictable are most likely to trigger greediness and stinginess detection mechanisms. Participants saw four types of rules. One rule could be violated through greedy behavior, another through stingy behavior, another by not paying a debt, and another was a descriptive rule that could be violated by not finding one type of resource near another type of resource. Then, participants saw information about events relating to one of the rules and indicated whether the rule in question could have been violated. Consistent with past research, participants were better at detecting greediness, stinginess, and debts not paid than at detecting violations of a descriptive rule. However, contrary to my predictions, the necessity and unpredictability of resources did not impact people’s ability to detect greediness and stinginess. The lack of support for my hypothesis might be because the benefits of detecting greediness and stinginess might outweigh the costs even for situations in which need-based transfer rules are unlikely to apply, because people might be able to consciously activate their greediness and stinginess mechanisms even for resources that would not naturally trigger them, or because of methodological limitations.
ContributorsMunoz Castro, Andres (Author) / Aktipis, Athena (Thesis advisor) / Hruschka, Daniel (Committee member) / Neuberg, Steven (Committee member) / Arizona State University (Publisher)
Created2019
Description
The regulation of gene expression, timing, location, and amount of a given project, ultimately affects the cellular structure and function. More broadly, gene regulation is the basis for cellular differentiation and development. However, gene expression is not uniform among individuals and varies greatly between genetic males and females. Males are hemizygous for the X chromosome, whereas females have two X chromosome copies. Contributing to the sex differences in gene expression between males and females are the sex chromosomes, X and Y. Gene expression differences on the autosomes and the X chromosome between males (46, XY) and females (46, XX) may help inform on the mechanisms of sex differences in human health and disease. For example, XX females are more likely to suffer from autoimmune diseases, and genetic XY males are more likely to develop cancer. Characterizing sex-specific gene expression among human tissues will help inform the molecular mechanisms driving sex differences in human health and disease. This dissertation covers a range of critical aspects in gene expression. In chapter 1, I will introduce a method to align RNA-Seq reads to a sex chromosome complement informed reference genome that considers the X and Y chromosomes' shared evolutionary history. Using this approach, I show that more genes are called as sex differentially expressed in several human adult tissues compared to a default reference alignment. In chapter 2, I characterize gene expression in an early formed tissue, the human placenta. The placenta is the DNA of the developing fetus and is typically XY male or XX female. There are well-documented sex differences in pregnancy complications, yet, surprisingly, there is no observable sex difference in expression of innate immune genes, suggesting expression of these genes is conserved. In chapter 3, I investigate gene expression in breast cancer cell lines. Cancer arises in part due to the disruption of gene expression. Here I show 19 tumor suppressor genes become upregulated in response to a synthetic protein treatment. In chapter 4, I discuss gene and allele-specific expression in Nasonia jewel wasp. Chapter 4 is a replication and extension study and discusses the importance of reproducibility.
ContributorsOlney, Kimberly (Author) / Wilson, Melissa A (Thesis advisor) / Hinde, Katherine (Committee member) / Buetow, Kenneth (Committee member) / Banovich, Nicholas (Committee member) / Arizona State University (Publisher)
Created2021
Description
Evolutionary theory provides a rich framework for understanding cancer dynamics across scales of biological organization. The field of cancer evolution has largely been divided into two domains, comparative oncology - the study of cancer across the tree of life, and tumor evolution. This work provides a theoretical framework to unify these subfields with the intent that an understanding of the evolutionary dynamics driving cancer risk at one scale can inform the understanding of the dynamics on another scale. The evolution of multicellular life and the unique vulnerabilities in the cellular mechanisms that underpin it explain the ubiquity of cancer prevalence across the tree of life. The breakdown in cellular cooperation and communication that were required for multicellular life define the hallmarks of cancer. As divergent life histories drove speciation events, it similarly drove divergences in fundamental cancer risk across species. An understanding of the impact that species’ life history theory has on the underlying network of multicellular cooperation and somatic evolution allows for robust predictions on cross-species cancer risk. A large-scale veterinary cancer database is utilized to validate many of the predictions on cancer risk made from life history evolution. Changing scales to the cellular level, it lays predictions on the fate of somatic mutations and the fitness benefits they confer to neoplastic cells compared to their healthy counterparts. The cancer hallmarks, far more than just a way to unify the many seemingly unique pathologies defined as cancer, is a powerful toolset to understand how specific mutations may change the fitness of somatic cells throughout carcinogenesis and tumor progression. Alongside highlighting the significant advances in evolutionary approaches to cancer across scales, this work provides a lucid confirmation that an understanding of both scales provides the most complete portrait of evolutionary cancer dynamics.
ContributorsCompton, Zachary Taylor (Author) / Maley, Carlo C. (Thesis advisor) / Aktipis, Athena (Committee member) / Buetow, Kenneth (Committee member) / Nedelcu, Aurora (Committee member) / Compton, Carolyn (Committee member) / Arizona State University (Publisher)
Created2023