Details

Autor(en) / Beteiligte

• Gao, Huan
• Wu, Fengzhi

Titel

Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress

Ist Teil von

• Plant signaling & behavior, 2024-12, Vol.19 (1), p.2332018-2332018

Ort / Verlag

United States: Taylor & Francis

Erscheinungsjahr

2024

Quelle

MEDLINE

Beschreibungen/Notizen

• Tomato (Solanum lycopersicum L.) is one of the most important economic crops in China. However, its quality and yield are susceptible to the adverse effects of low temperatures. In our study, two tomato cultivars, showing different tolerance to low temperatures, namely the cold-sensitive tomato cultivar (S708) and cold-tolerant tomato cultivar (T722), were grown at optimal (25/18°C) and sub-optimal (15/10°C) temperature conditions for 5 days. Our study aimed to explore the effect of sub-optimal temperature on fresh weight, chlorophyll content and chlorophyll fluorescence, soluble sugars and proline content of two tomato cultivars. Moreover, we employed RNA-Seq to analyze the transcriptomic response of tomato roots to sub-optimal temperature. The results revealed that S708 showed a more significant reduction in fresh weight, chlorophyll content, photochemical efficiency of PSII (YII), maximum quantum yield of PSII (Fv/Fm), photochemical quenching (qP) and electron transport rate (ETR) compared to T722 under the sub-optimal temperature condition. Notably, T722 maintained higher level of soluble sugars and proline in comparison to S708 uner sub-optimal temperature. RNA-seq data showed that up-regulated DEGs in both tomato cultivars were involved in "plant-pathogen interaction", "MAPK signaling pathway", "plant hormone signal transduction", and "phosphatidylinositol signaling system". Furthermore, "Amino sugar and nucleotide sugar metabolism" pathway was enriched only in T722. Moreover, under sub-optimal temperature, transcription factor genes and osmoregulation genes showed varying degrees of response in both tomato cultivars. Conclusion: In summary, our results offer detailed insights into the response characteristics of tomato to sub-optimal temperature, providing valuable references for the practical management of tomato crops under sub-optimal temperature condition.