A systematic identification of cold tolerance genes in peanut using yeast functional screening system

In plants, Trihelix transcription factors are responsible for regulating growth, development, and reaction to various abiotic stresses. However, their functions in tea plants are not yet fully understood. This study identified a total of 40 complete Trihelix genes in the tea plant genome, which are classified into five clades: GT-1 (5 genes), GT-2 (8 genes), GTγ (2 genes), SH4 (7 genes), and SIP1 (18 genes). The same subfamily exhibits similar gene structures and functional domains. Chromosomal mapping analysis revealed that chromosome 2 has the most significant number of trihelix family members. Promoter analysis identified cis-acting elements in C. sinensis trihelix (CsTH), indicating their potential to respond to various phytohormones and stresses. The expression analysis of eight representative CsTH genes from four subfamilies showed that all CsTHs were expressed in more tissues, and three CsTHs were significantly induced under ABA, NaCl, and drought stress. This suggests that CsTHs plays an essential role in tea plant growth, development, and response to osmotic stress. Furthermore, yeast strains have preliminarily proven that CsTH28, CsTH36, and CsTH39 can confer salt and drought tolerance. Our study provides insights into the phylogenetic relationships and functions of the trihelix transcription factors in tea plants. It also presents new candidate genes for stress-tolerance breeding.

Comprehensive Genomic Analysis of Trihelix Family in Tea Plant (Camellia sinensis) and Their Putative Roles in Osmotic Stress

With global warming, heat stress has become an important factor that seriously affects crop yield and quality. Therefore, understanding plant responses to heat stress is important for agricultural practice, but the molecular mechanism of high-temperature tolerance in garlic remains unclear. In this study, 'Xusuan No. 6' was used as the experimental material. After heat stress for 0 (CK), 2 and 24 h, transcriptome sequencing was used to screen metabolic pathways and differentially expressed genes (DEGs) closely related to heat stress and was further verified by quantitative real-time polymerase chain reaction (qRT-PCR). A total of 86,110 unigenes obtained from the raw transcriptome sequencing data were spliced. After 2 h of heat treatment, the expression levels of 8898 genes increased, and 3829 genes were decreased in leaves. After 24 h, the expression levels of 7167 genes were upregulated, and 3176 genes were downregulated. Gene Ontology enrichment analysis showed that DEGs were mainly enriched in seven categories: cellular processes, metabolic processes, binging, catalytic activity, cellular anatomical entity and protein-containing complex response to stimulus. Kyoto Encyclopedia of Genes and Genomes pathway enrichment showed that DEGs are involved in protein processing in the endoplasmic reticulum, plant hormone signal transduction, phenylpropanoid biosynthesis, and photosynthetic antenna proteins. Six genes were selected and further verified by qRT-PCR. In this study, the full-length transcriptome of garlic was constructed, and the regulatory genes related to the heat resistance of garlic were studied. Taken together, these findings can provide a theoretical basis for the cloning of heat resistance genes in garlic and for the analysis of heat resistance mechanisms. 

Transcriptome sequencing of garlic reveals key genes related to the heat stress response

Abstract Cool‐season turfgrasses widely used on golf courses, athletic fields, and other landscapes are environmentally and economically important, but they are functionally and aesthetically damaged under prolonged exposure to high temperatures because of their sensitivity to heat stress. Because the consequences of climate change include elevated global temperatures, it is necessary to understand mechanisms underlying heat tolerance in cool‐season turfgrasses to improve heat tolerance and maintain high‐quality turf during the summer, when heat stress is most severe. This paper identifies major metabolic pathways associated with genes differentially expressed in heat‐tolerant cultivars or species of different turfgrasses by overviewing research from studies using comparative transcriptomics, proteomics, and biotechnological approaches and provides insight into progress toward elucidating the genetic and molecular factors regulating heat tolerance in cool‐season turfgrasses. Key molecular factors and genes associated with heat tolerance in cool‐season turfgrasses include those in the following cellular and metabolic processes or pathways: (1) cell cycle and DNA synthesis, replication, stability, and binding factors; (2) heat shock proteins for stress protection and protease enzymes controlling protein degradation or turnover; (3) carbohydrate metabolism for chloroplast development, chlorophyll degradation enzymes regulating the stay‐green phenotype, photochemical efficiency, carboxylation, and cytochrome respiratory activities; (4) activation of antioxidant metabolism for oxidation protection; (5) modulation of lipid saturation and composition to maintain cellular membrane integrity; and (6) upregulation of secondary metabolism for stress defense. Understanding how these regulatory mechanisms cohesively operate during heat stress will facilitate the development of cool‐season turfgrass germplasm with greater heat tolerance through breeding and biotechnological methods. 

Research advances in molecular mechanisms regulating heat tolerance in cool‐season turfgrasses

ZmHSFA2d positively regulates maize seedling heat and drought tolerance by modulating photosystem protein synthesis

Integrative analysis of transcriptome and yeast screening system identified heat stress-responding genes in ryegrass

The superoxide dismutase (SOD) gene family in perennial ryegrass: Characterization and roles in heat stress tolerance.

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Yun Chen

Author Tools

Chat about Author

Papers

Integrative analysis of transcriptome and yeast screening system identified heat stress-responding genes in ryegrass

The superoxide dismutase (SOD) gene family in perennial ryegrass: Characterization and roles in heat stress tolerance.