Understanding the genetic basis of adaptation to novel environme
nts remains one of the major challenges confronting evolutionary biologists. While newly developed genomic approaches hold considerable promise for addressing this overall question, the relevant tools have not often been available in the most ecologically interesting organisms, until now (Matzkin 2013).
One of our core study organisms, Drosophila mojavensis, is a cactophilic Sonoran Desert endemic member of the Repleta group and its well studied ecology makes it an excellent system to study the genetic basis of adaptation. As a cactophile, D. mojavensis oviposits in the necrotic tissues of cacti, therefore exposing larvae and even adults to the varied and sometimes toxic compounds of rotting cacti. Drosophila mojavensis is composed of four host races (Mainland Sonoran, Baja California , Mojave and Catalina Is.), each with its own specific cactus host (Organpipe, Agria, Barrel, and Prickly Pear, respectively).
Ecological genomics of host adaptation in D. mojavensis
We use and developed several genomic tools, such as next-gen sequencing (DNA and RNAseq) and complete genome expression microarrays, to investigate the genetics of adaptation in D. mojavensis. Our initial transcriptional analysis involved the examination of differential gene expression associated with necrotic cactus host use and shifts in several populations of D. mojavensis (Matzkin et. al 2006; Matzkin 2012).

In the presence of environmental change, natural selection can shape the transcriptome. Those genotypes that are better able to modulate gene expression to maximize fitness will be favored. Therefore, it is important to examine gene expression at the population level in order to distinguish random or neutral gene expression variation from the pattern produced by natural selection. We examined the level of standing genetic variation both within and between the D. mojavensis populations (Matzkin and Markow 2013). This population level approach allowed us to identify genes involved in past cactus host shifts. Among the set of genes identified were a set of genes previously known to be involved in xenobiotic metabolism.
Our lab was involved in the sequencing and assembly of the first D. mojavensis genome (from Catalina Island) (D12GC 2007)
nts remains one of the major challenges confronting evolutionary biologists. While newly developed genomic approaches hold considerable promise for addressing this overall question, the relevant tools have not often been available in the most ecologically interesting organisms, until now (Matzkin 2013). One of our core study organisms, Drosophila mojavensis, is a cactophilic Sonoran Desert endemic member of the Repleta group and its well studied ecology makes it an excellent system to study the genetic basis of adaptation. As a cactophile, D. mojavensis oviposits in the necrotic tissues of cacti, therefore exposing larvae and even adults to the varied and sometimes toxic compounds of rotting cacti. Drosophila mojavensis is composed of four host races (Mainland Sonoran, Baja California , Mojave and Catalina Is.), each with its own specific cactus host (Organpipe, Agria, Barrel, and Prickly Pear, respectively).
Ecological genomics of host adaptation in D. mojavensis
We use and developed several genomic tools, such as next-gen sequencing (DNA and RNAseq) and complete genome expression microarrays, to investigate the genetics of adaptation in D. mojavensis. Our initial transcriptional analysis involved the examination of differential gene expression associated with necrotic cactus host use and shifts in several populations of D. mojavensis (Matzkin et. al 2006; Matzkin 2012).

In the presence of environmental change, natural selection can shape the transcriptome. Those genotypes that are better able to modulate gene expression to maximize fitness will be favored. Therefore, it is important to examine gene expression at the population level in order to distinguish random or neutral gene expression variation from the pattern produced by natural selection. We examined the level of standing genetic variation both within and between the D. mojavensis populations (Matzkin and Markow 2013). This population level approach allowed us to identify genes involved in past cactus host shifts. Among the set of genes identified were a set of genes previously known to be involved in xenobiotic metabolism.
Our lab was involved in the sequencing and assembly of the first D. mojavensis genome (from Catalina Island) (D12GC 2007)
ns, D. arizonae (its sister species) and D. navojoa (outgroup) (