Abstract

Winter rapeseed (Brassica rapa L.) is the main oilseed crop in northern China and can safely overwinter at 35 (i.e., Tianshui, China) to 48 degrees north latitude (i.e., Altai, Heilongjiang, Raohe, and Xinjiang, China). In order to identify stable reference genes to understand the molecular mechanisms of stress tolerance in winter rapeseed, internal reference genes of winter rapeseed under four abiotic stresses were analyzed using GeNorm, NormFinder, BestKeeper, and RefFinder software. The most stable combinations of internal reference genes were β-actin and SAND in cold-stressed leaves, β-actin and EF1a in cold-stressed roots, F-box and SAND in high temperature-stressed leaves, and PP2A and RPL in high temperature-stressed roots, SAND and PP2A in NaCl-stressed leaves, RPL and UBC in NaCl-stressed roots, RPL and PP2A in PEG-stressed leaves, and PP2A and RPL in PEG-stressed roots. Expression profiles of PXG3 were used to verify these results. The stable reference genes identified in this study are useful tools for identifying stress-responsive genes to understand the molecular mechanisms of stress tolerance in winter rapeseed.

Highlights

  • Abiotic stresses such as cold, heat, salt, and drought limit plant growth and yield

  • Real-time quantitative polymerase chain reaction (RT-qPCR) detection of expression levels of 10 candidate reference genes showed that Cq values of all candidate reference genes under different treatments ranged from 16.8 to 29.1 (Fig 2)

  • Screening and verification of reference genes in winter Brassica rapa among candidate reference genes (17.9–23.3), and a coefficient of variation of 5.4%

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Summary

Introduction

Abiotic stresses such as cold, heat, salt, and drought limit plant growth and yield. Plants have developed a variety of mechanisms to respond to the damage caused by these stresses, including complex series of transcriptions and regulation [1]. Real-time quantitative polymerase chain reaction (RT-qPCR) analysis is the most fundamental method for studying gene transcription and regulation, and it is extremely sensitive, specific, reproducible, and cost-effective [2]. One of the most common mistakes is inappropriate selection of reference genes for normalizing expression of the target gene [3, 4]. Reference genes are expressed at constant levels to represent the concentration of cDNA in a sample.

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