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Background: Small non-coding (s)RNAs are involved in the negative regulation of gene expression, playing critical roles in genome integrity, development and metabolic pathways. Targeting of RNAs by ribonucleoprotein complexes of sRNAs bound to Argonaute (AGO) proteins results in cleaved RNAs having precise and predictable 5` ends. While tools to study sliced bits of RNAs to confirm the efficiency of sRNA-mediated regulation are available, they are sub-optimal. In this study, we provide an improvised version of a tool with better efficiency to accurately validate sRNA targets.
Results: Here, we improvised the CleaveLand tool to identify additional micro (mi)RNA targets that belong to the same family and also other targets within a specified free energy cut-off. These additional targets were otherwise excluded during the default run. We employed these tools to understand the sRNA targeting efficiency in wild and cultivated rice, sequenced degradome from two rice lines, O. nivara and O. sativa indica Pusa Basmati-1 and analyzed variations in sRNA targeting. Our results indicate the existence of multiple miRNA-mediated targeting differences between domesticated and wild species. For example, Os5NG4 was targeted only in wild rice that might be responsible for the poor secondary wall formation when compared to cultivated rice. We also identified differential mRNA targets of secondary sRNAs that were generated after miRNA-mediated cleavage of primary targets.
Conclusions: We identified many differentially targeted mRNAs between wild and domesticated rice lines. In addition to providing a step-wise guide to generate and analyze degradome datasets, we showed how domestication altered sRNA-mediated cascade silencing during the evolution of indica rice.
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http://dx.doi.org/10.1186/s12864-021-08288-5 | DOI Listing |
Bull Environ Contam Toxicol
September 2025
Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China.
Cadmium (Cd) pollution in rice agroecosystems has become a pressing worldwide environmental challenge. Straw return leads to Cd re-entering the soil, yet the impact of straw removal (SR) on Cd mobility and bioavailability within this system remains unclear. We implemented a four-season field study to evaluate how different SR intensities (NSR: no rice straw was removed; HSR: half of the rice straw was removed; TSR: all the rice straw was removed) influence Cd availability in this system.
View Article and Find Full Text PDFAppl Environ Microbiol
September 2025
Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Plant Health Institute of Montpellier, Montpellier, France.
pv. is a pathogen of rice responsible for bacterial leaf streak, a disease that can cause up to 32% yield loss. While it was first reported a century ago in Asia, its first report in Africa was in the 1980s.
View Article and Find Full Text PDFData Brief
October 2025
Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8528, Japan.
This dataset exhibits the growth profile of multiple rice varieties, most of which include world or Japanese rice core collections, under saline-alkaline conditions through two screenings. In both the first and second screenings, the rice plants were hydroponically cultivated for 4 weeks under normal conditions and then subjected to control or saline-alkaline conditions for 2 weeks. In the first screening, dry weight, dry weight ratio, and SPAD values were measured, and candidate varieties possessing saline-alkaline tolerance (7 varieties) or sensitivity (3 varieties) were selected based on the dry weight ratio.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Key Laboratory of Tobacco Chemistry, Zhengzhou Tobacco Research Institute of China National Tobacco Corporation (CNTC), Zhengzhou, China.
Introduction: Image and near-infrared (NIR) spectroscopic data are widely used for constructing analytical models in precision agriculture. While model interpretation can provide valuable insights for quality control and improvement, the inherent ambiguity of individual image pixels or spectral data points often hinders practical interpretability when using raw data directly. Furthermore, the presence of imbalanced datasets can lead to model overfitting and consequently, poor robustness.
View Article and Find Full Text PDFPhysiol Plant
September 2025
College of Life Science, Sichuan Agricultural University, Ya'an, China.
Cadmium telluride quantum dots (CdTe QDs) have been increasing in the environment because of their large application in solar panels and biological industries. However, the potential role and bioaccumulation behavior of CdTe QDs in plants are unknown. Herein, the toxicity of CdTe QDs on the growth and the underlying mechanisms were explored in rice.
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