This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Aging is characterized by a steady decline in an organism's ability to perform life-sustaining tasks. All organisms age, and this process is partially controlled by the regulation of gene expression. The lifespan of an organism is based on extrinsic factors, genes, and gene-environment interactions. Gene?environment interactions are of considerable interest because they are especially relevant to aging in human populations that are not environmentally controlled. Little is known about the genetics of aging in most animals and even less is known in natural populations of species used as models for genetic research. For genetic analyses of aging, Drosophila melanogaster (fruit fly) is a useful model organism due to the genetic and genomic tools available, and ability to compare to humans because of the similarity in genes. Transcriptome studies have been conducted on D. melanogaster, but not in large populations that allow for many samples to be taken and for flies to be sampled at very old ages when all but a very small proportion of a cohort has died. The value of taking many samples is that temporal trends in gene expression become much clearer allowing for the identification of candidate genes that may be acting in a similar manner and, in fact, might allow for the identification of networks of gene expression. Replicate populations are valuable because they allow for identification of candidate genes whose pattern of expression is robust across populations. The main goal of the proposed research is to utilize use large laboratory populations of D. melanogaster recently derived from a natural population and thereby representing natural genetic variation to obtain comprehensive transcriptome profiles throughout the adult life span. The goals of this project are: 1) conduct a transcriptome analysis of large replicate populations recently derived from the field 2) validate the pattern of expression of candidate genes, 3) use mutations and P-element lines to test the effect of candidate genes. The overall goal of this research is to better understand the role of genes representing natural genetic variation throughout adult life including the very oldest ages, which is expected to provide unique insight into aging and longevity.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR016469-11
Application #
8360007
Study Section
Special Emphasis Panel (ZRR1-RI-4 (01))
Project Start
2011-05-01
Project End
2012-04-30
Budget Start
2011-05-01
Budget End
2012-04-30
Support Year
11
Fiscal Year
2011
Total Cost
$74,940
Indirect Cost
Name
University of Nebraska Medical Center
Department
Genetics
Type
Schools of Medicine
DUNS #
168559177
City
Omaha
State
NE
Country
United States
Zip Code
68198
Barta, Cody L; Liu, Huizhan; Chen, Lei et al. (2018) RNA-seq transcriptomic analysis of adult zebrafish inner ear hair cells. Sci Data 5:180005
Liu, Huizhan; Chen, Lei; Giffen, Kimberlee P et al. (2018) Cell-Specific Transcriptome Analysis Shows That Adult Pillar and Deiters' Cells Express Genes Encoding Machinery for Specializations of Cochlear Hair Cells. Front Mol Neurosci 11:356
Wehrkamp, Cody J; Natarajan, Sathish Kumar; Mohr, Ashley M et al. (2018) miR-106b-responsive gene landscape identifies regulation of Kruppel-like factor family. RNA Biol 15:391-403
Lopez, Wilfredo; Page, Alexis M; Carlson, Darby J et al. (2018) Analysis of immune-related genes during Nora virus infection of Drosophila melanogaster using next generation sequencing. AIMS Microbiol 4:123-139
Azadmanesh, Jahaun; Trickel, Scott R; Borgstahl, Gloria E O (2017) Substrate-analog binding and electrostatic surfaces of human manganese superoxide dismutase. J Struct Biol 199:68-75
Bonham-Carter, Oliver; Thapa, Ishwor; From, Steven et al. (2017) A study of bias and increasing organismal complexity from their post-translational modifications and reaction site interplays. Brief Bioinform 18:69-84
Donze-Reiner, Teresa; Palmer, Nathan A; Scully, Erin D et al. (2017) Transcriptional analysis of defense mechanisms in upland tetraploid switchgrass to greenbugs. BMC Plant Biol 17:46
Quispe, Cristian F; Esmael, Ahmed; Sonderman, Olivia et al. (2017) Characterization of a new chlorovirus type with permissive and non-permissive features on phylogenetically related algal strains. Virology 500:103-113
Gerald, Gary W; Thompson, Moriah M; Levine, Todd D et al. (2017) Interactive effects of leg autotomy and incline on locomotor performance and kinematics of the cellar spider, Pholcus manueli. Ecol Evol 7:6729-6735
Gong, Qiang; Wang, Chao; Zhang, Weiwei et al. (2017) Assessment of T-cell receptor repertoire and clonal expansion in peripheral T-cell lymphoma using RNA-seq data. Sci Rep 7:11301

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