Accelerating Biological Insight for Understudied Genes

Author:

Reynolds Kimberly A1,Rosa-Molinar Eduardo2,Ward Robert E3,Zhang Hongbin4,Urbanowicz Breeanna R5,Settles A Mark6ORCID

Affiliation:

1. The Green Center for Systems Biology and the Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA

2. Department of Pharmacology and Toxicology, The University of Kansas, Lawrence, KS 66047, USA

3. Department of Biology, Case Western Reserve University, Cleveland, OH 44106, USA

4. Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA

5. Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA

6. Bioengineering Branch, NASA Ames Research Center, Moffett Field, CA 94035, USA

Abstract

Synopsis The rapid expansion of genome sequence data is increasing the discovery of protein-coding genes across all domains of life. Annotating these genes with reliable functional information is necessary to understand evolution, to define the full biochemical space accessed by nature, and to identify target genes for biotechnology improvements. The majority of proteins are annotated based on sequence conservation with no specific biological, biochemical, genetic, or cellular function identified. Recent technical advances throughout the biological sciences enable experimental research on these understudied protein-coding genes in a broader collection of species. However, scientists have incentives and biases to continue focusing on well documented genes within their preferred model organism. This perspective suggests a research model that seeks to break historic silos of research bias by enabling interdisciplinary teams to accelerate biological functional annotation. We propose an initiative to develop coordinated projects of collaborating evolutionary biologists, cell biologists, geneticists, and biochemists that will focus on subsets of target genes in multiple model organisms. Concurrent analysis in multiple organisms takes advantage of evolutionary divergence and selection, which causes individual species to be better suited as experimental models for specific genes. Most importantly, multisystem approaches would encourage transdisciplinary critical thinking and hypothesis testing that is inherently slow in current biological research.

Funder

National Science Foundation “Reintegrating Biology Jumpstarts”

Gordon and Betty Moore Foundation Data Driven Discovery Initiative award

National Science Foundation award

United States Department of Energy Center for Bioenergy Innovation

National Institute of Food and Agriculture award

Florida Space Research Institute award

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Animal Science and Zoology

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