Active ResearchDevelopment of a high quality reference genome sequences for loblolly pine, Douglas-fir and sugar pine by means that can serve as a model approach for sequencing other large, complex genomes and empower the forest tree biology research community and the broader biological research community in the practical use and application of this resource. Our lab is focused on improving upon existing methodologies to improve and sensitivity and specificity of gene annotation.
Current Focus: Annotation of the recently released sugar pine genome (v2.0)
Team: Sumaira Zaman, Madison Caballero
Collaboration with University of California, Davis
Neale, D. B., McGuire, P. E., Wheeler, N. C., Stevens, K. A., Crepeau, M. W., Cardeno, C., … Wegrzyn, J. L. (2017). The Douglas-Fir Genome Sequence Reveals Specialization of the Photosynthetic Apparatus in Pinaceae. G3: Genes|Genomes|Genetics. https://doi.org/10.1534/g3.117.300078
Zimin, A. V., Stevens, K. A., Crepeau, M. W., Puiu, D., Wegrzyn, J. L., Yorke, J. A., … Salzberg, S. L. (2017). An improved assembly of the loblolly pine mega-genome using long-read single-molecule sequencing. GigaScience, 6(1), 1–4. https://doi.org/10.1093/gigascience/giw016
Stevens, K. A., Wegrzyn, J. L., Zimin, A., Puiu, D., Crepeau, M., Cardeno, C., Paul, R., Gonzalez-Ibeas, D., Koriabine, M., Holtz-Morris, A. E., Martínez-García, P. J., Sezen, U. U., Marçais, G., Jermstad, K., McGuire, P. E., Loopstra, C. A., Davis, J. M., Eckert, A., de Jong, P., Yorke, J. A., Salzberg, S. L., Neale, D. B., & Langley, C. H. (2016). Sequence of the sugar pine megagenome. Genetics, 204(4), 1613-1626.
Gonzalez-Ibeas, D., Martinez-Garcia, P. J., Famula, R. A., Delfino-Mix, A., Stevens, K. A., Loopstra, C. A., Langley, C. H., Neale, D. B., & Wegrzyn, J. L. (2016). Assessing the gene content of the megagenome: Sugar pine (Pinus lambertiana). G3: Genes, Genomes, Genetics 6(12), 3787-3802.
Neale D.B., Wegrzyn J. L., Stevens K.A., Zimin A.V., Puiu D., Crepeau M.W., . . . Liechty J.D. (2014). Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies. Genome biology, 15(3), R59.
Wegrzyn J. L., Liechty J.D., Stevens K. A., Wu L.-S., Loopstra C.A., Vasquez-Gross, H. A., . . . Martínez-García, P. J. (2014). Unique Features of the Loblolly Pine (Pinus taeda L.) Megagenome Revealed Through Sequence Annotation. Genetics, 196(3), 891-909.
Zimin A., Stevens K. A., Crepeau M.W., Holtz-Morris A., Koriabine M., Marçais G., Wegrzyn J. L. . . de Jong, P. J. (2014). Sequencing and Assembly of the 22-Gb Loblolly Pine Genome. Genetics, 196(3), 875-890.
Wegrzyn J. L., Lin B., Zieve J., Dougherty M., Garcia-Martinez P.J., Koriabine M., Holtz-Morris A., deJong P., Crepeau M., Langley C.H., Puiu D., Salzberg S.L., Neale D.B., Stevens K.A. (2013). Insights into the loblolly pine genome: characterization of BAC and fosmid sequences. PLoS ONE, 8(9), e72439.
Current Focus: RNA-Seq analysis of Abies balsamea var. balsamea (balsam fir), Abies fraseri (Fraser fir), Abies balsamea var. Phanerolepis (Canaan fir), and Abies nordmanniana ssp. equi-trojani (Trojan fir).
Lab Team: Alex Trouern-Trend, Alyssa Ferreira
Collaboration with North Carolina State University: John Frampton and Ross Whetten
Current Focus: Sequence data is being generated at the Center for Genome Innovation at UConn
Lab Team: Madison Caballero
Collaboration with: Nelli Hovhannisyan (YSU), Alexia Smith (Department of Anthropology, UConn), Rachel O'Neill (Department of MCB, UConn)
Associative transcriptomics and metagenomics to evaluate adaptation to acid rain in two hardwood species
Understanding the population genetic structure, and gene expression patterns as it relates to different soil conditions can predict future trajectories of forest composition. No genetic studies have been carried out on the trees in the long-term ecological monitoring site, Hubbard Brook Experimental Forest (HBEF) in New Hampshire. Monitoring of growth performance in the field has revealed that sugar maple is on the decline unless the soils are restored (Juice et al. 2006; Green et al. 2013). On the other hand, American beech is performing well in exacerbated cation depleted soils (Halman et al. 2014). Controlled field experiments have examined the effects of Ca and Al treatments when applied through the soil. Dominant sugar maple trees remained unaffected but non-dominant trees responded positively to Ca amendment. On the other hand, American beech grew faster in Al amended plots filling the void remaining after increased tree mortality (Halman et al. 2014). Investigations of the affected microbial communities can provide insight to the challenges faced by these trees. An early microarray-based study comparing microbial communities between Ca deficient and amended soils in HBEF revealed more than 300 impacted taxa (Sridevi et al. 2012). No soil microbial surveys have been conducted to predict responses to extreme Ca depletion, such as when Al competes with other cations exerting phytotoxic effects. Transcriptomics of the plant tissues and metagenomics of associated soil microbial/fungal communities can help build a more complete picture of forest response.Current Focus: Stem and soil samples acquired for sugar maple and American beech. Sequencing underway at CGI and MARs
Lab Team: Uzay Sezen and Alex Trouern-Trend
Collaboration with: Paul Schaberg (US Forest Service)
Intensively managed pine plantations are the major source of wood, fiber, and biomass for bio-based energy. Loblolly pine is the most economically important timber species in the US. The species has been established on 30 million plantation acres. Southern pine plantations produces about 16% of the global wood supply. To meet the increasing demand for forest products from decreasing land, tree breeders need to introduce fast-growing forest trees with higher yield that require fewer inputs, are resistant to diseases, and are adaptable to environmental change. Worldwide, forest ecosystems play a critical role in protecting land and water resources, preserving biodiversity, and mitigating the rising levels of CO2 that contribute to climate change. Recent completion of the reference genome for loblolly pine (v2.01) coupled with tremendous resequencing resources in large breeding populations, provides a foundation for developing genotyping resources to implement genomic selection. A moderate density SNP assay will be developed from the available genomic resources, including GBS and exome capture. Extensive bioinformatics analysis and strict criteria for selection will be necessary to determine the final selections for this assay.Current Focus: Genotyping assay design based on new reference genome and annotation for loblolly pine
Lab Team: Madison Caballero
Collaboration with North Carolina State University: Fikret Isik, Juan Acosta, Andrew Eckert (VCU), and Richard Sniezko (USFS)
Active ResearchDiversiTree, a user-friendly desktop-style interface, queries the TreeGenes database and is designed for bulk retrieval of resequencing data. It provides the community with access to data types describing individual tree samples including ESTs, primer sequences, SNPs, genotypes and phenotypes. The variety of outputs available allows users to perform high-resolution dissection of traits and relate molecular diversity to functional variation. Recent development has focused on web services to connect geo-referenced individuals with important ecological and trait databases in the form of a new utility known as CartograTree. The combined resources of the Dendrome project serve as a powerful knowledge environment for genotype-phenotype information resulting from a multitude of large-scale genomics projects.
Lab Team: Emily Grau, Nic Herndon, Sean Buehler, Taylor Falk, Peter Richter, Risharde Ramnath
Active ResearchEnTAP (Eukaryotic Non-Model Transcriptome Annotation Pipeline) was designed to improve the accuracy, speed, and flexibility of functional gene annotation for de novo assembled transcriptomes in non-model eukaryotes. This software package addresses the fragmentation and related assembly issues that result in inflated transcript estimates and poor annotation rates. Following filters applied through assessment of true expression and frame selection, open-source tools are leveraged to functionally annotate the translated proteins. Downstream features include fast similarity search across three repositories, protein domain assignment, orthologous gene family assessment, and Gene Ontology term assignment. The final annotation integrates across multiple databases and selects an optimal assignment from a combination of weighted metrics describing similarity search score, taxonomic relationship, and informativeness. Researchers have the option to include additional filters to identify and remove contaminants, identify pathways, and prepare the transcripts for enrichment analysis. This fully featured pipeline is easy to install, configure, and runs much faster than comparable functional annotation packages. It is developed to contend with many of the issues in existing software solutions.
Lab Team: Alex Hart