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

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 cult...

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Main Authors: Huan Gao, Fengzhi Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Plant Signaling & Behavior
Subjects:
Online Access:http://dx.doi.org/10.1080/15592324.2024.2332018
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author Huan Gao
Fengzhi Wu
author_facet Huan Gao
Fengzhi Wu
author_sort Huan Gao
collection DOAJ
description 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.
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spelling doaj-art-9c6fb76bf1454d229c85b99cb14bfdf82025-01-02T11:44:26ZengTaylor & Francis GroupPlant Signaling & Behavior1559-23161559-23242024-12-0119110.1080/15592324.2024.23320182332018Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stressHuan Gao0Fengzhi Wu1Heilongjiang UniversityNortheast Agricultural UniversityTomato (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.http://dx.doi.org/10.1080/15592324.2024.2332018tomatosub-optimal temperaturechlorophyll fluorescencetranscriptomic
spellingShingle Huan Gao
Fengzhi Wu
Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress
Plant Signaling & Behavior
tomato
sub-optimal temperature
chlorophyll fluorescence
transcriptomic
title Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress
title_full Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress
title_fullStr Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress
title_full_unstemmed Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress
title_short Physiological and transcriptomic analysis of tomato in response to sub-optimal temperature stress
title_sort physiological and transcriptomic analysis of tomato in response to sub optimal temperature stress
topic tomato
sub-optimal temperature
chlorophyll fluorescence
transcriptomic
url http://dx.doi.org/10.1080/15592324.2024.2332018
work_keys_str_mv AT huangao physiologicalandtranscriptomicanalysisoftomatoinresponsetosuboptimaltemperaturestress
AT fengzhiwu physiologicalandtranscriptomicanalysisoftomatoinresponsetosuboptimaltemperaturestress