Selection and validation of reference genes for quantitative real-time PCR of Quercus mongolica Fisch. ex Ledeb under abiotic stresses.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 06 11 2021
accepted: 02 04 2022
entrez: 28 4 2022
pubmed: 29 4 2022
medline: 3 5 2022
Statut: epublish

Résumé

Quercus mongolica Fisch. ex Ledeb is the main species of coniferous and broadleaved mixed forests in northeast and north China, which has high ornamental, economic, and ecological value. The appropriate reference genes must be selected for quantitative real-time PCR to reveal the molecular mechanisms of stress responses and their contribution to breeding of Q. mongolica. In the present study, we chose 11 candidate reference genes (TUA, CYP18, HIS4, RPS13, ACT97, TUB1, UBQ10, UBC5, SAND, PP2A, and SAMDC) and used four programs (GeNorm, NormFinder, BestKeeper, and RefFinder) to assess the expression stability of the above genes in roots, stems, and leaves under five abiotic stress factors (cold, salt, drought, weak light, and heavy metal). The findings revealed that under various experimental environments, the most stable genes were different; CYP18, ACT97, and RPS13 ranked the highest under most experimental environments. Moreover, two genes induced by stress, CMO and P5CS2, were chosen to demonstrate the reliability of the selected reference genes in various tissues under various stress conditions. Our research provides a significant basis for subsequent gene function studies of Q. mongolica.

Identifiants

pubmed: 35482686
doi: 10.1371/journal.pone.0267126
pii: PONE-D-21-35258
pmc: PMC9049516
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0267126

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Hao Zhan (H)

College of Horticulture, Shenyang Agricultural University, Shenyang, China.

Hanzhang Liu (H)

College of Forestry, Shenyang Agricultural University, Shenyang, China.

Tianchong Wang (T)

College of Forestry, Shenyang Agricultural University, Shenyang, China.

Lin Liu (L)

College of Forestry, Shenyang Agricultural University, Shenyang, China.

Wanfeng Ai (W)

College of Horticulture, Shenyang Agricultural University, Shenyang, China.

Xiujun Lu (X)

College of Forestry, Shenyang Agricultural University, Shenyang, China.
Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang, China.

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Classifications MeSH