Comparative transcriptome analysis of Zea mays in response to petroleum hydrocarbon stress View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11

AUTHORS

Birsen Cevher-Keskin, Çiğdem Selçukcan-Erol, Bayram Yüksel, Özlem Ertekin, Yasemin Yıldızhan, Selma Onarıcı, Oktay Kulen, Abdul Razaque Memon

ABSTRACT

The use of plants for the improvement of soils contaminated with hydrocarbons has been a primary research focus in phytoremediation studies. Obtaining insights regarding genes that are differentially induced by petroleum hydrocarbon stress and understanding plant response mechanisms against petroleum hydrocarbons at molecular level is essential for developing better phytoremediation strategies to remove these hazardous contaminants. The purpose of this study was to analyze the transcriptomal profile changes under hydrocarbon stress in maize plants and identify the genes associated with the phytoremediative capacity. Zea mays GeneChips were used to analyze the global transcriptome profiles of maize treated with different concentrations of petroleum hydrocarbons. In total, 883, 1281, and 2162 genes were differentially induced or suppressed in the comparisons of 0 (control) vs. 1% crude petroleum, 1 vs. 5% crude petroleum, and 0 vs. 5% crude petroleum, respectively. The differentially expressed genes were functionally associated with the osmotic stress response mechanism, likely preventing the uptake of water from the roots, and the phytoremediative capacity of plants, e.g., secretory pathway genes. The results presented here show the regulatory mechanisms in the response to petroleum hydrocarbon pollution in soil. Our study provides global gene expression data of Z. mays in response to petroleum hydrocarbon stress that could be useful for further studies investigating the biodegradation mechanism in maize and other plants. More... »

PAGES

32660-32674

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11356-018-3078-8

DOI

http://dx.doi.org/10.1007/s11356-018-3078-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107124036

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30242659


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