An Evolutionary Genomics Study for Conservation of the Montezuma Quail

Humans have altered natural landscape since the agricultural revolution, but it has been most destructive since human globalization and rampant industrialization in the last two centuries. These activities deteriorate and fragments natural habitat of many wild species that creates small isolated populations that lose genetic diversity over time. Loss of genetic diversity reduces the adaptive capacity of a population to respond to future environmental change and increases their extinction risks. Implementing strategies for wildlife conservation is a challenge primarily because of our lack of understanding of the biology of many wild species, the risks they are currently facing, and their evolutionary histories. With the advent of genomic and computational techniques, it is now possible to address these concerns. In my research, I used genomics to study the evolutionary history of the Montezuma Quail (Cyrtonyx montezumae) and created monitoring tools that can be readily applied by wildlife managers for its conservation. Montezuma Quail is a small gamebird found mostly in Mexico with peripheral populations existing in Arizona, New Mexico, and Texas. Montezuma Quail are going through species wide decline in the United States and are listed as vulnerable in the state of Texas due to their small population sizes and geographic isolation from rest of the range. My results show that Texas quail are genetically distinct and significantly less diverse than Arizona quail. Analysis of whole genome sequences from multiple individuals show that due to small population sizes and isolation, Texas quail are significantly more inbred and genetic drift is the major contributor for loss of genetic diversity we see today. Inbreeding is negatively impacting Texas quail as they carry more deleterious alleles within their genome that reduce fitness of the individuals. Demographic models predict that both Arizona and Texas populations were formed via founding bottlenecks around 20,000 years ago. Texas populations have maintained small population sizes since its split from the ancestral populations and are less efficient in purging new deleterious mutations that arise post-bottleneck. The inferences from my research not only carries direct implications for Montezuma Quail conservationists, but also illustrate the power of evolutionary genomics in implementing targeted management strategies for any species that face existential threats in today’s waning world

The First Complete Chloroplast Genome Sequence and Phylogenetic Analysis of Pistachio (Pistacia vera)

Pistachio is one of the most economically important nut crops worldwide. However, there are no reports describing the chloroplast genome of this important fruit tree. In this investigation, we assembled and characterized the complete pistachio chloroplast sequence. The Pistacia vera chloroplast genome was 160,598 bp in size, similar to other members of Anacardiaceae (149,011–172,199 bp) and exhibited the typical four section structure, including a large single copy region (88,174 bp), a small single copy region (19,330 bp), and a pair of inverted repeats regions (26,547 bp). The genome contains 121 genes comprised of 87 protein-coding genes, 30 tRNA genes and 4 rRNA genes. Thirteen intron-containing genes were identified in the genome wherein two genes had more than two introns. The genomic patterns of GC content resembled those for other Anacardiaceae. P. vera displayed the highest number of simple sequence repeats (SSRs) among the genera studied, which may be useful for molecular marker development and future population studies. Amino acid analysis revealed that Leucine is the most frequent (10.69%) amino acid in the chloroplast genome followed by Isoleucine (8.53%) and Serine (7.77%). Cysteine (1.30%) and Tryptophan (1.74%) were the least frequent amino acids. Phylogenetic analysis revealed P. vera is most like its taxonomically close relative P. weinmaniifolia, followed by Rhus chinensis; all placed taxonomically in the tribe Rhoeae. Members of Anacardiaceae were most closely related to Rhoeae, followed by members of Spondieae. The reports of this chloroplast genome will be useful for future conservation studies, genetic evaluation and breeding of P. vera, and more comprehensive phylogenetic analysis of the Pistacia species and its closely-related genera

Immunogenetic response of the bananaquit in the face of malarial parasites

Background: In the arms race between hosts and parasites, genes involved in the immune response are targets for natural selection. Toll-Like Receptor (TLR) genes play a role in parasite detection as part of the innate immune system whereas Major Histocompatibility Complex (MHC) genes encode proteins that display antigens as part of the vertebrate adaptive immune system. Thus, both gene families are under selection pressure from pathogens. The bananaquit (Coereba flaveola) is a passerine bird that is a common host of avian malarial parasites (Plasmodium sp. and Haemoproteus sp.). We assessed molecular variation of TLR and MHC genes in a wild population of bananaquits and identified allelic associations with resistance/susceptibility to parasitic infection to address hypotheses of avian immune response to haemosporidian parasites. Results: We found that allele frequencies are associated with infection status at the immune loci studied. A consistent general trend showed the infected groups possessed more alleles at lower frequencies, and exhibited unique alleles, compared to the uninfected group. Conclusions: Our results support the theory of natural selection favoring particular alleles for resistance while maintaining overall genetic diversity in the population, a mechanism which has been demonstrated in some systems in MHC previously but understudied in TLRs

UNI-GROUP_R1_001.fastq

Raw sequencing reads for UNI group read

MHC1-UAA-1_XLSTAT_association

Association/Correlation Tests between allele frequencies and groups for MHC1-UAA-

INF-GROUP_R1_001.fastq.gz

Raw sequencing reads for INF group read

TLR1A_GelAlEx_amova

Analysis of molecular variance for TLR1

MHC1UAA1_GenAlEx_amova

Analysis of molecular variance for MHC1-UAA-