Metabolomics

Dataset Information

0

The Development of Metabolomic Markers in African Bermudagrass (C. transvaalensis) for Sting Nematode (Belonolaimus longicaudatus) Response


ABSTRACT: The objective of the proposed pilot study is to identify metabolites up- and down-regulated in African bermudagrass that are tolerant and sensitive to the sting nematode and develop metabolomic markers for the highest expressed metabolites associated with tolerance. Future work will include additional accessions and species of bermudagrass, and testing under field conditions. Bermudagrass accessions identified as tolerant or sensitive by Pang et al. (2011) will be assessed under controlled greenhouse conditions to identify metabolites linked to sting nematode tolerance. Nematode response will be quantified through determination of root length and weight and the number of nematodes present 136 days after inoculation. Higher root length and weight indicate tolerance or resistance. Higher nematode counts indicate greater reproduction (i.e. a susceptible plant), while lower counts indicate that the accession may have some resistance. Metabolites from root tissue of these accessions will be compared to identify those associated with tolerance/resistance, and those that are associated with nematode infestation by comparing inoculated plants to uninoculated controls. Metabolomic markers will then be developed for the metabolites associated with tolerance/resistance. These markers will be used to guide future screening of bermudagrass accessions for breeding nematode-tolerant or -resistant varieties.

INSTRUMENT(S):

ORGANISM(S): Cynodon Transvaalensis Bermudagrass Clathrus Transvaalensis

TISSUE(S): Plant Roots

SUBMITTER: Nicole Benda  

PROVIDER: ST000353 | MetabolomicsWorkbench | Fri Nov 13 00:00:00 GMT 2015

REPOSITORIES: MetabolomicsWorkbench

Dataset's files

Source:
Action DRS
mwtab Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-11-01 | E-GEOD-47008 | biostudies-arrayexpress
2016-01-29 | GSE74795 | GEO
2012-03-29 | GSE36249 | GEO
2013-11-01 | GSE47008 | GEO
2012-03-28 | E-GEOD-36249 | biostudies-arrayexpress
2018-04-03 | GSE110127 | GEO
2017-06-29 | GSE81069 | GEO
2017-04-29 | GSE80986 | GEO
2012-01-01 | GSE22707 | GEO
2012-01-01 | E-GEOD-22707 | biostudies-arrayexpress