Variability of plant transcriptomic responses under stress acclimation: a review from high throughput studies DOI Creative Commons
Michał Rurek, Mikołaj Smolibowski

Acta Biochimica Polonica, Journal Year: 2024, Volume and Issue: 71

Published: Oct. 25, 2024

Plant transcriptomes are complex entities shaped spatially and temporally by a multitude of stressors. The aim this review was to summarize the most relevant transcriptomic responses selected abiotic (UV radiation, chemical compounds, drought, suboptimal temperature) biotic (bacteria, fungi, viruses, viroids) stress conditions in variety plant species, including model crops, medicinal plants. Selected basic applicative studies employing RNA-seq from various sequencing platforms single-cell were involved. responsiveness species diversity affected gene families discussed. Under acclimation, respond particularly dynamically. Stress response involved both distinct, but also similar families, depending on tissue, quality dosage stressor. We noted over-representation data for some organs. Studies allow better understanding strategies environmental conditions. Functional analyses reveal stress-affected genes as well acclimatory mechanisms suggest metabolome diversity, among species. Extensive characterization would result development new cultivars that cope with more efficiently. These actions include modern methodological tools, advanced genetic engineering, editing, especially expression proteins

Language: Английский

Accelerating crop improvement via integration of transcriptome-based network biology and genome editing DOI
Izreen Izzati Razalli, Muhammad‐Redha Abdullah‐Zawawi, Amin Asyraf Tamizi

et al.

Planta, Journal Year: 2025, Volume and Issue: 261(4)

Published: March 17, 2025

Language: Английский

Citations

0
Genome-wide identification and expression analysis of the DnaJ genes in Gossypium hirsutum DOI Creative Commons
Pengyun Chen, Xiànghuī Xiāo, Yunqing Li

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 228, P. 120904 - 120904

Published: March 26, 2025

Language: Английский

Citations

0
Elucidation of AsANS controlling pigment biosynthesis in Angelica sinensis through hormonal and transcriptomic analysis DOI

Khadija Tehseen Arshad,

Chunfan Xiang,

Chengxiao Yuan

et al.

Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(5)

Published: Sept. 1, 2024

Abstract Angelica sinensis , a traditional Chinese medicinal plant, has been primarily reported due to its nutritional value. Pigmentation in this plant is an important appearance trait that directly affects commercial To understand the mechanism controlling purpleness A. hormonal and transcriptomic analyses were performed three different tissues (leave, root stem), using two cultivars with contrasting colors. The two‐dimensional data set provides dynamic gene expression networks underpinning . We found abscisic acid as crucial hormone modulating anthocyanin biosynthesis sinensis. further identified validated 7 key genes involved pathway specific module containing ANS hub WGCNA. Overexpression of candidate pigment regulatory gene, AsANS ( AS08G02092 ), transgenic calli resulted increased production caused purpleness. Together, these provide understanding molecular underlying correlation hormones, which can source for breeding.

Language: Английский

Citations

1
Advancing our understanding of root development: Technologies and insights from diverse studies DOI
Núria S. Coll, Miguel Á. Moreno-Risueno, Lucia C. Strader

et al.

PLANT PHYSIOLOGY, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 17, 2024

Understanding root development is critical for enhancing plant growth and health, advanced technologies are essential unraveling the complexities of these processes. In this review, we highlight select technological innovations in study development, with a focus on transformative impact single-cell gene expression analysis. We provide high-level overview recent advancements, illustrating how RNA sequencing (scRNA-seq) has become pivotal tool biology. scRNA-seq revolutionized biology by enabling detailed, cell-specific analysis expression. This allowed researchers to create comprehensive atlases, predict cell map regulatory networks (GRNs) unprecedented precision. Complementary technologies, such as multimodal profiling bioinformatics, further enrich our understanding cellular dynamics interactions. Innovations imaging modeling, combined genetic tools like CRISPR, continue deepen knowledge formation function. Moreover, integration biosensors microfluidic devices ability plant-microbe interactions phytohormone signaling at high resolution. These collectively more system architecture its regulation environmental factors. As evolve, they promise drive breakthroughs science, substantial implications agriculture sustainability.

Language: Английский

Citations

1
Smart Farming: Leveraging IoT and Deep Learning for Sustainable Tomato Cultivation and Pest Management DOI Creative Commons
Md Rakibul Hasan, Md Mahbubur Rahman,

Fahim Shahriar

et al.

Crop Design, Journal Year: 2024, Volume and Issue: 3(4), P. 100079 - 100079

Published: Sept. 10, 2024

Language: Английский

Citations

0
Variability of plant transcriptomic responses under stress acclimation: a review from high throughput studies DOI Creative Commons
Michał Rurek, Mikołaj Smolibowski

Acta Biochimica Polonica, Journal Year: 2024, Volume and Issue: 71

Published: Oct. 25, 2024

Plant transcriptomes are complex entities shaped spatially and temporally by a multitude of stressors. The aim this review was to summarize the most relevant transcriptomic responses selected abiotic (UV radiation, chemical compounds, drought, suboptimal temperature) biotic (bacteria, fungi, viruses, viroids) stress conditions in variety plant species, including model crops, medicinal plants. Selected basic applicative studies employing RNA-seq from various sequencing platforms single-cell were involved. responsiveness species diversity affected gene families discussed. Under acclimation, respond particularly dynamically. Stress response involved both distinct, but also similar families, depending on tissue, quality dosage stressor. We noted over-representation data for some organs. Studies allow better understanding strategies environmental conditions. Functional analyses reveal stress-affected genes as well acclimatory mechanisms suggest metabolome diversity, among species. Extensive characterization would result development new cultivars that cope with more efficiently. These actions include modern methodological tools, advanced genetic engineering, editing, especially expression proteins

Language: Английский

Citations

0