Next Article in Journal
Genome-Wide Identification and Characterization of the GASA Gene Family in Medicago truncatula, and Expression Patterns under Abiotic Stress and Hormone Treatments
Previous Article in Journal
Ribulose 1,5-bisphosphate carboxylase/oxygenase Is Required in Bradyrhizobium diazoefficiens for Efficient Soybean Root Colonization and Competition for Nodulation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Selection and Validation of Reference Genes in Dendrocalamus brandisii for Quantitative Real-Time PCR

Key Laboratory of National Forestry and Grassland Administration, Beijing for Bamboo & Rattan Science and Technology, International Center for Bamboo and Rattan, Beijing 100102, China
*
Authors to whom correspondence should be addressed.
Plants 2024, 13(17), 2363; https://doi.org/10.3390/plants13172363 (registering DOI)
Submission received: 28 July 2024 / Revised: 15 August 2024 / Accepted: 21 August 2024 / Published: 24 August 2024
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)

Abstract

Dendrocalamus brandisii (Munro) Kurz is a sympodial bamboo species with a wide distribution in tropical and subtropical regions. Due to its remarkable regenerative ability and exceptional flavor, this species plays a pivotal role in bolstering the economies of numerous nations across these regions. We recently published a high-quality genome of this species. To date, no study results have identified the optimal reference genes for quantitative real-time polymerase chain reaction (qRT-PCR) normalization in Dendrocalamus brandisii. qRT-PCR offers a highly accurate and effective approach to analyzing gene expression. However, the precision of the resulting quantitative data hinges on the correct choice of reference genes. Twenty-one potential reference genes were identified from the D. brandisii transcriptomes. Their expression in 23 samples, including 8 different tissue organs and 15 samples of D. brandisii under various treatment conditions, were evaluated through qRT-PCR. Subsequently, four software programs—Delta CT, geNorm, NormFinder, and RefFinder—were employed to compare their expression stability. The results revealed that the selection of optimal reference genes varied based on the particular organ and condition being examined. EF-1-α-2 consistently exhibits the most stable expression across diverse tissues, while ACTIN-1, TUBULIN-1, and EF-1-α-2 were the most consistent reference genes in roots, culms, and leaves under various treatments, respectively. In this study, we identified and characterized appropriate internal genes utilized for calibrating qRT-PCR analyses of D. brandisii across different tissue organs and under various treatments. This research will provide key insights for advancing the study of gene functionality and molecular biology in D. brandisii and related species
Keywords: Dendrocalamus brandisii; reference genes; qRT-PCR; normalization; EF-1-α-2 Dendrocalamus brandisii; reference genes; qRT-PCR; normalization; EF-1-α-2

Share and Cite

MDPI and ACS Style

Jiang, J.; Mu, C.; Bai, Y.; Cheng, W.; Geng, R.; Xu, J.; Dou, Y.; Cheng, Z.; Gao, J. Selection and Validation of Reference Genes in Dendrocalamus brandisii for Quantitative Real-Time PCR. Plants 2024, 13, 2363. https://doi.org/10.3390/plants13172363

AMA Style

Jiang J, Mu C, Bai Y, Cheng W, Geng R, Xu J, Dou Y, Cheng Z, Gao J. Selection and Validation of Reference Genes in Dendrocalamus brandisii for Quantitative Real-Time PCR. Plants. 2024; 13(17):2363. https://doi.org/10.3390/plants13172363

Chicago/Turabian Style

Jiang, Jutang, Changhong Mu, Yucong Bai, Wenlong Cheng, Ruiman Geng, Junlei Xu, Yuping Dou, Zhanchao Cheng, and Jian Gao. 2024. "Selection and Validation of Reference Genes in Dendrocalamus brandisii for Quantitative Real-Time PCR" Plants 13, no. 17: 2363. https://doi.org/10.3390/plants13172363

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop