Browsing by Subject "QTL"

An unresolved problem in evolutionary biology is the nature of forces that maintain standing variation for quantitative traits. In this study we take advantage of newly developed genomic resources to understand how variation is maintained for flower size and fitness components in a natural population of annual Mimulus guttatus in the Oregon Cascades. Extensive inbreeding depression has been documented in this population for fertility and viability (Willis 1999 a,b), while previous biometric experiments have demonstrated that some of the floral variation in this site is due to common alleles perhaps maintained by balancing selection (Kelly and Willis 2001, Kelly 2003). Detailed comparison of the genetic architecture of these two categories of traits can clarify the relative contributions of mutation versus selection in maintaining trait variation within populations as well as the relevance of standing variation for trait diversification.

We present here the results from a large scale effort to dissect variation for flower size and a suite of genetically correlated traits. In 3 independent F2 mapping populations we mapped QTLs for floral morphology (flower width and length, pistil length, and stamen length), flowering time, and leaf size. We also mapped segregation distortion loci and QTLs for fertility components (pollen viability and seed set) that exhibit inbreeding depression. We compare the genetic architecture of these two sets of traits and find clear differences. Morphological traits and flowering time are polygenic and QTLs are generally additive. In contrast, deleterious QTLs associated with segregation distortion or fertility are partially recessive and include major QTLs. There is also little co-localization between morphological/flowering time and fertility QTLs. The analysis suggests that the genetic basis of segregating variation in morphology is fundamentally different from traits exhibiting inbreeding depression. Further, there is considerable variation in the extant of pleiotropy exhibited by QTLs for morphological traits as well as flowering time and we report that epistasis contributes to the standing variation for these traits. The analysis suggests that the standing variation is relevant for trait diversification and that the variation in floral allometry, plant form, and life history observed in the guttatus species complex could have readily evolved from the standing variation.

Fungi of the basidiomycete genus Cryptococcus cause disease in an estimated quarter of a million people, annually. Cryptococcus neoformans and Cryptococcus deneoformans are the two most prevalent disease causing species within the Cryptococcus clade, with isolates of these species exhibiting considerable variation in their pathogenicity, ranging from benign to highly virulent. A wide variety of traits, such as thermal tolerance, melanin production, and an extracellular capsule contribute to virulence, yet our understanding of the genetic architecture of such traits is limited. In the studies reported here, I describe the first genome-wide analyses of recombination in C. neoformans and C. deneoformans and provide the first high-resolution genetic mapping studies of virulence traits in these important fungal pathogens.

In studying recombination, I considered both the nuclear and mitochondrial genomes, and estimated recombination rates for both opposite- and same-sex matings. With respect to recombination of the nuclear genome, I found that progeny from opposite-sex mating have more crossovers on average than those from same-sex mating. These analyses also suggest differences in recombination rate between C. neoformans and C. deneoformans. Similarly, analyses of mitochondrial inheritance and recombination point to differences between offspring from opposite- and same-sex matings, though with much lower overall rates of recombination as compared to the nuclear genome.

To dissect the genetic architecture of complex virulence traits, I employed quantitative trait locus (QTL) mapping. A unique aspect of these QTL studies was the application of functional data analysis methods that exploit time-series data and multiple experimental conditions. I mapped QTL for thermal tolerance, melanization, capsule size, salt tolerance, and antifungal drug susceptibility in C. deneoformans. For several QTL, I was able to identify candidate causal variants that underlie these loci. Two major effect QTL for amphotericin B resistance map to SSK1 and SSK2; regulators of the high osmolarity glycerol (HOG) pathway that governs responses to osmotic stress. Epistatic interactions between SSK1 and SSK2 were also shown to govern fludioxonil sensitivity. A third major effect, pleiotropic QTL was mapped to the gene, RIC8, a regulator of cAMP-PKA signaling. RIC8 variation is predicted to contribute to differences in thermal tolerance, melanin production, and capsule size.

In combination, the studies reported here advance our understanding of the mechanisms that generate and maintain variation in Cryptococcus and implicate genetic variants in key stress-responsive signaling pathways as a major contributor to phenotypic variation between lineages of Cryptococcus.

The evolution of pathogenesis, in many cases, is a story of competition between host and microbe; however, many opportunistic pathogens are primarily found in niches other than the host environment. Such pathogens frequently lack host-to-host transmission, and there may be limited opportunities for an infectious population to be re-dispersed back into the environment. Observations such as these motivate the hypothesis that the evolution of virulence traits in opportunistic pathogens may be primarily driven by environmental selective pressures, rather than the host-environment per se.

For Cryptococcus the ability to survive interactions with macrophages and the ability to grow at host body temperatures are indispensable to its pathogenic capabilities. The work presented here aims to dissect the genetic underpinnings of these virulence traits using the abundant natural variation of Cryptococcus and using the accumulation de novo mutations associated with growth under relevant stressors.

An important aspect of the hypotheses surrounding Cryptococcus evolution is the predator-prey interactions it has with free-living amoeba. Amoebae are able to consume Cryptococcus cells in a manner similar to how macrophages phagocytose and digest infectious cells. This similarity is the basis of the “Amoeboid Predator-Fungal Animal Virulence Hypothesis” which posits that amoeba act as training grounds for environmental fungal pathogens and thus inadvertently select for resistance to immune phagocytes. I tested this hypothesis by using QTL mapping to identify genes and alleles that are involved in amoebae resistance in both C. neoformans and C. deneoformans. I identified QTL that contribute to amoeba resistance, and discovered that the largest effect QTL in both species localize to homologous regions of the genome, suggesting a shared mechanism of amoeba resistance. In C. neoformans, this QTL also contributes to variation in melanization. I identified a causal variant for this QTL, a non-coding deletion upstream of a transcription factor, BZP4. Contrary to the predictions of the Amoeboid Predator-Fungal Animal Virulence Hypothesis, I did not find an association between the ability to survive amoeba predation and virulence in either in vitro or in vivo models of infection. These findings suggest a re-evaluation of the amoeba predation model for the evolution of pathogenesis, suggesting that factors other than amoeba may provide the significant selective pressures that underlie virulence ability.

I extended my quantitative analyses of Cryptococcus to two important factors involved in both environmental and disease contexts: thermal and low pH tolerance. In doing so, I discovered multiple pleiotropic QTL involved in general growth that also dictate stress tolerance in both high temperature and low pH environments. By fitting growth data to a Gompertz growth model and QTL mapping based on the parameters of this model, I discovered a novel QTL that effects lag, the time it takes for a population of cells to begin growing at an exponential rate. This lag QTL is pleiotropic across growth conditions. I identified a candidate allele for the lag QTL, a 9-bp deletion in CNAG_01111, a gene that has been found to impact growth initiation in other species of fungi.

Finally, taking a complimentary approach to understanding the role of genes in environmental survival, I experimentally evolved a C. neoformans strain in conditions of thermal stress and fludioxonil stress. I discovered that strains evolved at high temperatures lose tolerance to fludioxonil and strains evolved in fludioxonil lose temperature tolerance. Furthermore, the loss of fludioxonil tolerance in the high temperature evolved strains can be partially rescued by growing them on media containing fludioxonil. This rescue results in a proportional loss of thermal tolerance. Studying the genomic changes behind the evolved phenotypes I discovered multiple large scale deletions and one multi-gene duplication associated with fludioxonil resistance and a single multi-gene deletion associated with thermal tolerance. There are also a variety of small scale mutations associated with each evolved condition, including mutations of genes in the HOG and ergosterol pathway that are responsible for fludioxonil resistance. Mutations in uncharacterized multidrug transporters are frequently associated with fludioxonil resistance, suggesting that the evolved strains might also have altered resistance to other antifungals. These findings highlight the polygenic and pleiotropic genetic architecture of adaptation in C. neoformans on an ever warming planet with increased use of agricultural antifungals. The trade-offs found may represent a good sign for the use of phenylpyrroles as an agricultural antifungal.

Collectively, my work sheds light on genes and alleles involved in environmental survival while also making important connections back to human disease. It also exhibits the importance of utilizing the natural variation of fungal pathogens to study the evolutionary hypothesis surrounding virulence traits. The studies reported here also provide significant groundwork for many new insights into virulence genes and the origins of Cryptococcus pathogenicity.