» Articles » PMID: 36348043

Reliable Reference Genes and Abiotic Stress Marker Genes in Klebsormidium Nitens

Overview
Journal Sci Rep
Specialty Science
Date 2022 Nov 8
PMID 36348043
Authors
Affiliations
Soon will be listed here.
Abstract

Microalgae have recently emerged as a key research topic, especially as biological models. Among them, the green alga Klebsormidium nitens, thanks to its particular adaptation to environmental stresses, represents an interesting photosynthetic eukaryote for studying the transition stages leading to the colonization of terrestrial life. The tolerance to different stresses is manifested by changes in gene expression, which can be monitored by quantifying the amounts of transcripts by RT-qPCR. The identification of optimal reference genes for experiment normalization was therefore necessary. In this study, using four statistical algorithms followed by the RankAggreg package, we determined the best reference gene pairs suitable for normalizing RT-qPCR data in K. nitens in response to three abiotic stresses: high salinity, PEG-induced dehydration and heat shock. Based on these reference genes, we were able to identify marker genes in response to the three abiotic stresses in K. nitens.

Citing Articles

The Expression Profile of Genes Related to Carotenoid Biosynthesis in Pepper Under Abiotic Stress Reveals a Positive Correlation with Plant Tolerance.

Wang T, He Q, Wang C, Li Z, Sun S, Yang X Life (Basel). 2025; 14(12.

PMID: 39768366 PMC: 11727827. DOI: 10.3390/life14121659.


Reference Gene Selection for RT-qPCR Normalization in Exposed to Broxaldine.

Qiu Y, Bai Y, Wang W, Wang Q, Chen S, Zhang J Int J Mol Sci. 2024; 25(21).

PMID: 39518956 PMC: 11546418. DOI: 10.3390/ijms252111403.


Identification and Validation of Reference Genes for Expression Analysis Using RT-qPCR in Fisher and La Salle (Hymenoptera: Eulophidae).

Liu Y, Zhou J, Qiu Z, Hu P, Chen X, Yang Z Insects. 2023; 14(5).

PMID: 37233084 PMC: 10231091. DOI: 10.3390/insects14050456.

References
1.
Wijffels R, Barbosa M . An outlook on microalgal biofuels. Science. 2010; 329(5993):796-9. DOI: 10.1126/science.1189003. View

2.
Khan M, Shin J, Kim J . The promising future of microalgae: current status, challenges, and optimization of a sustainable and renewable industry for biofuels, feed, and other products. Microb Cell Fact. 2018; 17(1):36. PMC: 5836383. DOI: 10.1186/s12934-018-0879-x. View

3.
Kim S, Park J, Kim D, Choi S, Moon H, Shin J . Development of a versatile copper-responsive gene expression system in the plant-pathogenic fungus Fusarium graminearum. Mol Plant Pathol. 2021; 22(11):1427-1435. PMC: 8518565. DOI: 10.1111/mpp.13118. View

4.
Chatelain P, Astier J, Wendehenne D, Rosnoblet C, Jeandroz S . Identification of Partner Proteins of the Algae NO Synthases: Toward a Better Understanding of NO Signaling in Eukaryotic Photosynthetic Organisms. Front Plant Sci. 2022; 12:797451. PMC: 8728061. DOI: 10.3389/fpls.2021.797451. View

5.
Pihur V, Datta S, Datta S . RankAggreg, an R package for weighted rank aggregation. BMC Bioinformatics. 2009; 10:62. PMC: 2669484. DOI: 10.1186/1471-2105-10-62. View