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Transcriptomics Analysis of Penicillium expansumΔWSC1 Infection and Defense Mechanism against It in Pear Fruits
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作者 ZHAO Lina HU Yize +4 位作者 SHU Yuling Solairaj DHANASEKARAN ZHANG Xiaoyun YANG Qiya ZHANG Hongyin 《食品科学》 北大核心 2025年第13期75-85,共11页
The WSC proteins produced by Penicillium expansum play a crucial role in causing blue mold on pears.To analyze the role of the WSC1 gene in the pathogenic process of this fungal pathogen,we conducted transcriptomic an... The WSC proteins produced by Penicillium expansum play a crucial role in causing blue mold on pears.To analyze the role of the WSC1 gene in the pathogenic process of this fungal pathogen,we conducted transcriptomic analysis of a WSC1 knockout(ΔWSC1)strain.The knockout of WSC1 significantly altered the gene expression profile in P.expansum,particularly for genes involved in cell wall integrity,signaling,stress response,and toxin production.The differential expression of these genes might make theΔWSC1 strain more vulnerable to environmental stress,while reducing the toxin production capacity,ultimately leading to a decrease in the pathogenicity.The transcriptomic analysis revealed that the expression of genes related to stress response signals,defense mechanisms and oxidative stress management changed when pear fruits were infected with theΔWSC1 strain.These changes may trigger a cascade of responses in pear fruits.In addition,compared with those infected with the wild-type strain,pear fruits infected with theΔWSC1 strain exhibited up-regulated expression of genes related to defense and oxidative stress.This study clarifies how the WSC1 gene influences P.expansum’s ability to infect pear fruits and how pear fruits respond to the infection. 展开更多
关键词 pear fruit Penicillium expansum transcriptomic analysis INFECTION
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Transcriptome Profiling and Analysis during Cotton Fiber Cell Development
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作者 ZHU Yu-xian(The National Laboratory of Protein Engineering and Plant Genetic Engineering,College of Life Sciences,Peking University,Beijing 100871,China) 《棉花学报》 CSCD 北大核心 2008年第S1期129-,共1页
In this project,we aim to elucidate the molecular mechanism controlling initiation and elongation of tetraploid Gossypium hirsutum fiber cells by setting up a high throughput custom-designed
关键词 HIGH CELL transcriptome Profiling and analysis during Cotton Fiber Cell Development
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Transcriptome and Functional Analysis of Fiber-related Gene Expression in Cotton
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作者 CHEN Z Jeffrey LEE Jinsuk J +1 位作者 HA Misook AGARWAL Vikram 《棉花学报》 CSCD 北大核心 2008年第S1期35-,共1页
Fiber cell initiation is a complex process involving many pathways,including phytohormones and components for transcriptional and posttranscriptional regulation.Here we report expression
关键词 transcriptome and Functional analysis of Fiber-related Gene Expression in Cotton
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Identification of Genes Associated with Clubroot Resistance in Chinese Cabbage
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作者 Song Bo Xu Hai +3 位作者 He Jiang-ming Hu Jing-feng Fan Xiao-xue Chen Long-zheng 《Journal of Northeast Agricultural University(English Edition)》 CAS 2018年第4期8-21,共14页
The transcriptome-wide gene expression was compared between susceptible and resistant Chinese cabbage cultivars to identify genes that contributed to clubroot resistance. A higher number of differentially expressed ge... The transcriptome-wide gene expression was compared between susceptible and resistant Chinese cabbage cultivars to identify genes that contributed to clubroot resistance. A higher number of differentially expressed genes were detected in susceptible cultivars than in resistant cultivars. Fifty-six genes involved in cell wall modification, hormone signaling, root marphogenesis, nematodes response and cell proliferation were uniquely expressed in the resistant cultivars. Among them, 27 genes were involved in cell wall modification and hormone signaling, indicating that genes in these two types might play a vital role in the defense response to pathogen infection. 展开更多
关键词 Chinese cabbage CLUBROOT transcriptome analysis resistant gene discovery
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Mining Heat Stress Associated Genes in Tomato Fruit (Solanum lycopersicum L.) Through RNA-seq 被引量:1
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作者 Zhang Ying-ying Liu Ya-hui +1 位作者 Zhang Hui Zhu Wei-min 《Journal of Northeast Agricultural University(English Edition)》 CAS 2021年第4期12-24,共13页
Tomato(Solanum lycopersicum L.)is a thermophilic vegetable crop,but sensitive to high temperature stress,especially under the greenhouse conditions.Due to global climate changes,heat stress has now become a great thre... Tomato(Solanum lycopersicum L.)is a thermophilic vegetable crop,but sensitive to high temperature stress,especially under the greenhouse conditions.Due to global climate changes,heat stress has now become a great threat to tomato production and fruit quality.Many studies have been conducted to determine the functions of genes in tomato responsive to abiotic and biotic stresses,but transcriptomic information on heat stress responses of tomato fruit is still limited.To investigate heat stress associated genes in tomato fruit,a cDNA library was constructed using fruit harvested from tomato cv.P19-9 plants grown under 42℃for 0,1,2 and4 h and the expression profiles of heat stress responsive genes in tomato fruit were analyzed through RNA-seq.A total of 632224558 clean high quality paired-end reads were obtained and then mapped to reference genome for RNA-seq analysis.After quality control analysis,alignment analysis and transcript assembly,a total of 55457 RNA transcripts were obtained with functional annotations.Overall,6869 differentially expressed genes(DEGs)were identified with a significant response to one or more of the three heat stress treatment times.Based on GO enrichment analysis,22 genes potentially involved in tomato thermo-tolerance were selected and validated for their expressions through qPCR.The expression profile of tomato fruit genes obtained in this study could shed light on the mechanism and gene editing breeding projects for tomato thermo-tolerance.These findings could also benefit improvement of harvest and storage of tomato in greenhouse. 展开更多
关键词 tomato fruit heat stress transcriptomic analysis gene expression profiling
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