Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress.

Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress.

Liu, Jia;Deng, Jia Lin;Tian, Yun;
Phytochemistry 2020 Vol. 171 pp. 112226
244
liu2020transcriptomephytochemistry

Abstract

Apricot (Prunus armeniaca L.) is an important fruit crop that is widely planted throughout the world. But drought affects both yield and quality of apricot. In order to study the effects of long-term drought on the molecular and physiological mechanisms of apricot, we used transcriptome sequencing and measured physiological indices. First, 322 million high-quality clean reads were obtained, and 74,892 unigenes were generated for the transcriptome. Among the assembled unigenes, 18,671 simple sequence repeats (SSRs) and 5581 differentially expressed genes (DEGs) were identified. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the DEGs revealed that starch and sucrose metabolism, plant-pathogen interaction and plant hormone signal transduction pathways are enriched. Additionally, we used quantitative real-time PCR (qRT-PCR) to confirm the RNA-seq results with 11 drought-related DEGs. Second, through the physiological analysis of apricot leaves under constant drought stress, and the results show the internal microstructure of apricot leaves changed to withstand drought stress. At the same time, plants exposed to long-term drought stress showed higher degree of membrane damage, which reduced photosynthesis in the damaged leaves. Our findings enrich the genome resources for apricot and refine our understanding of the molecular and physiological mechanisms of drought response in this fruit crop, providing insights into drought adaptation of the apricot.

Citation

ID: 79261
Ref Key: liu2020transcriptomephytochemistry
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
79261
Unique Identifier:
S0031-9422(19)30892-1
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet