Next Article in Journal
Isolation of a Pluripotent Neural Stem Cell from the Embryonic Bovine Brain
Next Article in Special Issue
Identification and Functional Analysis of MicroRNAs and Their Targets in Platanus acerifolia under Lead (Pb) Stress
Previous Article in Journal
Molecular Mechanisms of Taste Recognition: Considerations about the Role of Saliva
Previous Article in Special Issue
Positive Selection and Functional Divergence of R2R3-MYB Paralogous Genes Expressed in Inflorescence Buds of Scutellaria Species (Labiatae)
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Int. J. Mol. Sci. 2015, 16(3), 5975-5989; doi:10.3390/ijms16035975

RNA-Seq Transcriptome Analysis of Maize Inbred Carrying Nicosulfuron-Tolerant and Nicosulfuron-Susceptible Alleles

Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050035, Hebei, China
Authors to whom correspondence should be addressed.
Academic Editor: Marcello Iriti
Received: 20 November 2014 / Revised: 26 February 2015 / Accepted: 2 March 2015 / Published: 13 March 2015
(This article belongs to the Special Issue Plant Molecular Biology)
View Full-Text   |   Download PDF [2030 KB, uploaded 13 March 2015]   |  


Postemergence applications of nicosulfuron can cause great damage to certain maize inbred lines and hybrids. Variation among different responses to nicosulfuron may be attributed to differential rates of herbicide metabolism. We employed RNA-Seq analysis to compare transcriptome responses between nicosulfuron-treated and untreated in both tolerant and susceptible maize plants. A total of 71.8 million paired end Illumina RNA-Seq reads were generated, representing the transcription of around 40,441 unique reads. About 345,171 gene ontology (GO) term assignments were conducted for the annotation in terms of biological process, cellular component and molecular function categories, and 6413 sequences with 108 enzyme commission numbers were assigned to 134 predicted Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways. Digital gene expression profile (DGE) analysis using Solexa sequencing was performed within the susceptible and tolerant maize between the nicosulfuron-treated and untreated conditions, 13 genes were selected as the candidates most likely involved in herbicide metabolism, and quantitative RT-PCR validated the RNA-Seq results for eight genes. This transcriptome data may provide opportunities for the study of sulfonylurea herbicides susceptibility emergence of Zea mays. View Full-Text
Keywords: transcriptomics; next-generation sequencing (NGS); herbicides susceptibility; nicosulfuron; Zea mays transcriptomics; next-generation sequencing (NGS); herbicides susceptibility; nicosulfuron; Zea mays

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Liu, X.; Xu, X.; Li, B.; Wang, X.; Wang, G.; Li, M. RNA-Seq Transcriptome Analysis of Maize Inbred Carrying Nicosulfuron-Tolerant and Nicosulfuron-Susceptible Alleles. Int. J. Mol. Sci. 2015, 16, 5975-5989.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top