Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[Analysis of transcriptome differences in two leaf-type cultivars of Aconitum carmichaelii].

Authors: Sha, Zhong; Yan-Peng, Yin; Ya-Nan, He; Man-Jia, Li; Min, Zhang; Si-Ning, Li; Cheng, Peng; +2 Authors

[Analysis of transcriptome differences in two leaf-type cultivars of Aconitum carmichaelii].

Abstract

According to the major differences of agricultural characters among various Aconitum carmichaelii cultivars, the lateral roots of Ai-leaf and Dahua-leaf A.carmichaelii plants were selected as the research objects. And the Illumina Hiseq high-throughput platform was used for transcriptome sequencing, assembly and annotation. We mostly focused the activity differential transcripts, metabolism pathways and enrichment functions. The results showed that a total of 52.23 Gb nucleotide bases were obtained from 6 A.carmichaelii transcriptome databases, with 52 471 unigenes and 28 765 matched annotation. There were 1 052 transcripts of the two kinds of A.carmichaelii with a difference of more than 2 times, 808 of which were annotated. Through GO and COG analysis, they were found to mainly concentrate in metabolic processes, cell processes, catalytic processes and transport processes, connections and other functions. KEGG analysis showed that 262 DEGs were enriched in 78 metabolic pathways, such as starch and sucrose metabolism, plant hormone signaling, carbon compounded transport etc. It was implied that many genes in Dahua-leaf A.carmichaelii regulated the conversion of starch to small molecules such as sucrose, glucose and maltose, while some other genes regulated the accumulation of amino acids, which may be the important biological principles for the formation of the differences between the quality and disease resistance of two leaf types of A.carmichaelii. This study will provide reference datas for A.carmichaelii breeding research.

Related Organizations
Keywords

Aconitum, Gene Expression Regulation, Plant, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Molecular Sequence Annotation, Transcriptome

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!