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雀麦草非生物胁迫下 RT-qPCR 分析中参考基因的鉴定和验证。

Identification and Validation of Reference Genes for RT-qPCR Analysis in Reed Canary Grass during Abiotic Stress.

机构信息

College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.

Sichuan Academy of Grassland Science, Chengdu 610097, China.

出版信息

Genes (Basel). 2023 Sep 12;14(9):1790. doi: 10.3390/genes14091790.

Abstract

Reed canary grass ( L.) is known for its tolerance to drought, heavy metals, and waterlogging, making it a popular choice for forage production and wetland restoration in the Qinghai-Tibet Plateau (QTP). To accurately assess gene expression in reed canary grass under different abiotic stresses, suitable reference genes need to be identified and validated. Thirteen candidate reference gene sequences were selected and screened using RT-qPCR to detect their expression levels in reed canary grass leaves under drought, salt, cadmium, and waterlogging stresses. Four algorithms were used to assess the stability of the expression levels of the candidate reference genes. The most stably expressed genes were and under drought Cd, and under salt stress, and and under waterlogging stress. was found to be less stable under abiotic stresses. , , , and were selected as response genes for quantitative expression assessment under drought, salt, Cd, and waterlogging stresses to confirm the accuracy of the selected stable reference genes. These results provide a theoretical reference for assessing gene expression in reed canary grass under abiotic stresses.

摘要

雀麦( L.)以其耐旱、耐重金属和耐涝的特性而闻名,是青藏高原(QTP)饲料生产和湿地恢复的热门选择。为了准确评估雀麦在不同非生物胁迫下的基因表达,需要鉴定和验证合适的参考基因。使用 RT-qPCR 筛选了 13 个候选参考基因序列,以检测它们在雀麦叶片中对干旱、盐、镉和水淹胁迫的表达水平。使用四种算法评估候选参考基因表达水平的稳定性。在干旱 Cd 下, 和 最稳定,在盐胁迫下, 和 最稳定,在水淹胁迫下, 和 最稳定。 在非生物胁迫下表现出较低的稳定性。 、 、 和 被选为干旱、盐、Cd 和水淹胁迫下定量表达评估的响应基因,以确认所选稳定参考基因的准确性。这些结果为评估雀麦在非生物胁迫下的基因表达提供了理论参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7272/10530813/348ebcab27ba/genes-14-01790-g001.jpg

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