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ARS Home » Pacific West Area » Wenatchee, Washington » Physiology and Pathology of Tree Fruits Research » Research » Publications at this Location » Publication #359285
Research Project: Developmental Genomics and Metabolomics Influencing Temperate Tree Fruit Quality

Location: Physiology and Pathology of Tree Fruits Research

Title: Co-expression networks provide insight into postharvest fruit physiology

Author
item Honaas, Loren
item Hargarten, Heidi
item FICKLIN, S - Washington State University
item HADISH, J - Washington State University
item WAFULA, E - Pennsylvania State University
item DEPAMPHILIS, CLAUDE - Pennsylvania State University
item Mattheis, James
item Rudell, David

Submitted to: Plant and Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: 11/29/2018
Publication Date: 1/12/2019
Citation: Honaas, L.A., Hargarten, H.L., Ficklin, S., Hadish, J., Wafula, E., Depamphilis, C., Mattheis, J.P., Rudell Jr, D.R. 2019. Co-expression networks provide insight into postharvest fruit physiology. Plant and Animal Genome Conference. Paper No. PE0664.

Interpretive Summary:

Technical Abstract: Functional genomics is an emerging technological frontier in postharvest crop management. This is driven in part by exponential growth of genomics resources for specialty crops, which include genomes and transcriptomes. These global-scale technologies are allowing insights into responses of Rosaceous tree fruit to modified atmospheres, various storage temperature regimes, and crop protectants in the postharvest period. These insights will allow researchers and producers to maximize favorable outcomes, especially with regard to crop protectant-limited production strategies. Here we report transcriptional fluxes of Granny Smith apple fruit in the early phases of long term storage in response to intermittant warming, an ostensibly organic compliant strategy that effectively reduces the incidence of superficial scald. We observed two temporally distinct classes of gene expression, which were discovered with high granularity sampling and novel analytics. This suggests that long term outcomes on the scale of months may be influenced by gene epression changes on the scale of hours.