BCBC
BTI Computational Biology Center
Decoding the complexity and diversity of life.
The BCBC enables computational approaches by providing educational resources and developing new methods in a collaborative framework to advance understanding of the complexity of life.
Computational biology democratized through accessible people and resources.
Strategic Plan 2024-2026 (PDF)
Strategic Goals (2024-2026):
- Collaboration: To serve as an integral bioinformatics resource for collaborative research.
- Education: To make bioinformatics broadly accessible by building capacity with researchers and students with different backgrounds and levels of skill in bioinformatics.
- Infrastructure: To meet current and future computational infrastructure needs.
- Funding: To attract new and diverse sources of funding (to stimulate research, education, and infrastructure initiatives).
Our Three Pillars
The BCBC launched as a center focused on computational approaches to biological diversity, with particular attention to both genomic and biochemical complexity in non-model plants.
The Center promotes synergistic interactions among groups at BTI and supports integration with the greater community through research collaborations and educational programming.
Education
Services
Research
What is bioinformatics?
Bioinformatics aims to address biological questions and problems by using and/or developing computational tools. Large amounts of data are now being generated through various “omics” methods that can collect data from entire genomes, transcriptomes, proteomes, and metabolomes. Bioinformatics tools are critical in mining these data and deriving meaningful, biologically relevant conclusions.
Bioinformatics relies on a well-developed infrastructure for software, data storage, organization, and access. To provide for this, a number of biological databases exist for a variety of purposes. For example, databases currently exist that compile the massive data output from genome projects, pathogen sequences, gene families, and so forth.
Current Research Projects
Wild relatives of tomato are a valuable source of natural variation in tomato breeding, as many can be hybridized to the cultivated species (Solanum lycopersicum). BTI and RWTH Aachen University have generated a chromosome scale genome assembly for an accession of Solanum lycopersicoides LA2951 using PacBio sequencing. The genome sequence will support the development of S. lycopersicoides as a model for studying genome evolution, as well as for assessing fruit nutrient/quality traits, pathogen resistance, and environmental stress tolerance that we have identified in the IL population.
The genus Aconitum comprises ca. 250 species of herbaceous perennial plants that inhabit temperate montane regions of the Northern Hemisphere. They are prominent members of many alpine and mountain meadow ecosystems, and their nectar, pollen and foliage provide food for insects ranging from butterflies to bumblebees. Aconite, a powerful alkaloid toxin derived from leaves and rhizomes of various Aconitum species, dates back to early Greek and Roman pharmacopeia and continues to be used in traditional European, Ayurveda, and Chinese medicine. Extracts from roots and rhizomes are reported for use as arrow poisons for hunting and/or warfare in communities across India, Tibet, Japan and Alaska. Over-harvesting of local populations for medicinal use has left many species endangered. Six Aconitum species are native to North America and one, Aconitum noveboracense, is federally classified as threatened with only a few small populations remaining in four US states, including New York. BTI in collaboration with US Fish & Wildlife Service are creating a draft reference genome for Aconitum noveboracense. This genome will provide the basis for comparative genomic, transcriptomic and metabolomic analyses that will allow us to investigate the biogeography and population dynamics of local species, to determine population-level genetic diversity and gene flow patterns important to conservation initiatives, and to investigate the function and diversity of major medicinal metabolites in North American species of Aconitum.
Beech (Fagus grandifolia) is a keystone tree species in many North American ecosystems, but is currently being devastated by Beech Bark Disease (BBD). We aim to develop a precision forestry paradigm that will aid beech management. First, we will use state-of-the-art genomic tools to identify genetic markers that can reliably predict disease-susceptible vs -resistant trees. Next, we will apply these markers to inform woodlot management by initiating a series of field trial experiments. The tools and resources gained from our work will be promoted in educational workshops created for landowners and forest managers. Our collaborative team includes members with complementary expertise in forest management, silviculture, and genomics that will use innovative approaches to combat BBD.
Our Team
Adrian Powell
Jing Zhang
Fay-Wei Li
Lukas Mueller
Zhangjun Fei
Interns
Olive LoGrasso
Mohamed Elgallad
“Characterizing a locus that confers resistance to Beech Bark Disease”
Project Summary:
American beech (Fagus grandifolia) is an ecologically and economically important native species. This species has high-quality wood used for furniture, flooring, and firewood, and its beech nuts are a vital nutrition source for many species ranging from birds to deer and black bears. American beech trees are seriously threatened since its smooth bark makes it susceptible to Beech Bark Disease (BBD). BBD is caused by an insect-fungal complex attack that begins with scale insects (Cryptococcus fagisuga) that attack the tree to feed on its sap. Insect feeding in turn creates points of entry for the fungal pathogens that cause BBD. When American beech trees are evaluated for BBD, some individuals show signs of resistance; this resistance was previously genetically linked to a chromosomal locus. For this project, we gathered samples from infected individuals from Arnot forest for genome sequencing using Nanopore technology. This data was analyzed and compared to previously collected and sequenced samples from both resistant and susceptible trees in an attempt to characterize a locus that provides beech trees with resistance to this insect-fungal attack. This effort will help future conservation and breeding efforts and contribute to the restoration of ecosystems afflicted with BBD. Without intervention, BBD would continue to impact the large number of organisms that depend on this native tree species to survive. Information derived from this research will also provide woodlot managers an early detection tool that would save them time and money.
My Experience:
As a biological sciences undergraduate interested in genetics, bioinformatics is a valuable skill to acquire, especially with how quickly research is evolving. This summer I was fortunate enough to conduct research in the BTI Computational Biology Center (BCBC) with my mentor Dr. Adrian Powell and my PI Dr. Suzy Strickler, both of whom supported and guided me through my research journey which I am extremely grateful for. This summer has been one of the most insightful summers I have experienced, both academically and socially. I had the opportunity to experience what it’s like to be a successful plant scientist while enjoying the beautiful city of Ithaca. I made many genuine connections that taught me numerous valuable lessons. This internship has helped me be more confident in my skills, prepare for graduate school, and it unexpectedly opened many new doors for me, even beyond the academic world.