Multi-tissue transcriptome analysis using hybrid-sequencing reveals potential genes and biological pathways associated with azadirachtin A biosynthesis in neem (azadirachta indica).

Huiyan WangNing WangYixin Huo

Published in: BMC genomics (2020)

By integrating and analyzing transcriptome data from hybrid-seq technology, 22 differentially expressed genes (DEGs) were finally selected as candidates involved in azadirachtin A pathway. The obtained reliable and accurate sequencing data provided important novel information for understanding neem genome. Our data shed new light on understanding the biosynthesis of other triterpenoids in neem trees and provides a reference for exploring other valuable natural product biosynthesis in plants.

Keyphrases

genome wide
single cell
electronic health record
big data
rna seq
dna methylation
gene expression
data analysis
risk assessment
mass spectrometry
climate change
health information
human health