Xiaowei Mao

Recent advancements in DNA sequencing technologies and laboratory preparation protocols have rapidly expanded the scope of ancient DNA research over the past decade, both temporally and geographically. Discoveries include interactions between archaic and modern humans as well as modern human population dynamics, including those coinciding with the Last Glacial Maximum and the settlement history of most world regions. This new type of data allows us to examine the deep past of human population dynamics and sharpen the current understanding of our present. The continued development in the ancient DNA field has transformed our understanding of human genetic history and will keep uncovering the further mysteries of our recent evolutionary past.

An assessment of genetic diversity of marine populations is critical not only for the understanding and preservation of natural biodiversity but also for its economic potential. As commercial demand rises for marine resources, it is critical to generate baseline information for monitoring wild populations. Furthermore, anthropogenic stressors on the coastal environment, such as warming sea surface temperatures and overharvesting of wild populations, are leading to the destruction of keystone marine species such as kelps. In this study, we conducted a fine-scale genetic analysis using genome-wide high-density markers on Northwest Atlantic sugar kelp species, Saccharina latissima and putative species, Saccharina angustissima . The population structure for a total of 149 samples from the Gulf of Maine (GOM) and Southern New England (SNE) was investigated using AMOVA, Fst, admixture, and PCoA. Genome-wide association analyses were conducted for six morphological traits, and the extended Lewontin and Krakauer (FLK) test was used to detect selection signatures. Our results indicate that the GOM region is moderately more heterogeneous than SNE. While admixture was observed between regions, these results confirm that Cape Cod acts as a biogeographic barrier for sugar kelp gene flow. We detected one significant SNP (P-value=2.03×10 -7 ) associated with stipe length, and 243 SNPs with higher-than-neutral differentiation. The findings of this study provide fundamental knowledge on sugar kelp population genetics for future monitoring, managing and potentially restoring wild populations, as well as assisting in selective breeding to improve desirable traits for cultivation and bioenergy production.

Male calves and culled cows of dairy cattle are used for beef production. However, unlike beef breeds, the genetics of growth performance traits in dairy breeds have not been extensively studied. Here, we performed a genome-wide association study (GWAS) on Holsteins ( = 5,519), Jerseys ( = 1,231), and Red Dairy Cattle ( = 4,410) to identify QTL for growth traits. First, a GWAS was performed within breeds using whole-genome sequence variants. Later, a meta-analysis was performed to combine information across the 3 breeds. We have identified several QTL that have large effects on growth traits in Holsteins and Red Dairy Cattle but with little overlap across breeds. Only 1 QTL located on chromosome 10 was shared between Holsteins and Red Dairy Cattle. The most significant variant (BTA10:59,164,533, rs43636323; -value = 2.8 × 10) in this QTL explained 2.4% of the total additive genetic variance in Red Dairy Cattle. The gene is a strong candidate for the underlying gene of this QTL. In Red Dairy Cattle, a QTL near 25 Mb on chromosome 14 was very significantly associated with growth traits, consistent with the previously reported gene , which affects growth in beef cattle and humans. No QTL for growth performance was statistically significant in Jerseys, possibly due to the low power of detection with the small sample size. The meta-analysis of the 3 breeds increased the power to detect QTL.