MicroRNAs expression dynamics reveal post-transcriptional mechanisms regulating seed development in Phaseolus vulgaris L.

Hortic Res

Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Avenida da República, 2780-157, Oeiras, Portugal.

Published: January 2021

The knowledge on post-transcriptional regulation mechanisms implicated in seed development (SD) is still limited, particularly in one of the most consumed grain legumes, Phaseolus vulgaris L. We explore for the first time the miRNA expression dynamics in P. vulgaris developing seeds. Seventy-two known and 39 new miRNAs were found expressed in P. vulgaris developing seeds. Most of the miRNAs identified were more abundant at 10 and 40 days after anthesis, suggesting that late embryogenesis/early filling and desiccation were SD stages in which miRNA action is more pronounced. Degradome analysis and target prediction identified targets for 77 expressed miRNAs. While several known miRNAs were predicted to target HD-ZIP, ARF, SPL, and NF-Y transcription factors families, most of the predicted targets for new miRNAs encode for functional proteins. MiRNAs-targets expression profiles evidenced that these miRNAs could tune distinct seed developmental stages. MiRNAs more accumulated at early SD stages were implicated in regulating the end of embryogenesis, postponing the seed maturation program, storage compound synthesis and allocation. MiRNAs more accumulated at late SD stages could be implicated in seed quiescence, desiccation tolerance, and longevity with still uncovered roles in germination. The miRNAs herein described represent novel P. vulgaris resources with potential application in future biotechnological approaches to modulate the expression of genes implicated in legume seed traits with impact in horticultural production systems.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804330PMC
http://dx.doi.org/10.1038/s41438-020-00448-0DOI Listing

Publication Analysis

Top Keywords

mirnas
9
expression dynamics
8
seed development
8
phaseolus vulgaris
8
implicated seed
8
vulgaris developing
8
developing seeds
8
mirnas accumulated
8
stages implicated
8
seed
6

Similar Publications

The current study was deployed to evaluate the role of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and miR-155, along with the inflammatory markers, TNFα and IL-6, and the adhesion molecule, cluster of differentiation 106 (CD106), in Behçet's disease (BD) pathogenesis. The study also assessed MALAT1/miR-155 as promising diagnostic and prognostic biomarkers for BD. The current retrospective case-control study included 74 Egyptian BD patients and 50 age and sex-matched controls.

View Article and Find Full Text PDF

Stroke is the second-leading global cause of death. The damage attributed to the immune storm triggered by ischemia-reperfusion injury (IRI) post-stroke is substantial. However, data on the transcriptomic dynamics of pyroptosis in IRI are limited.

View Article and Find Full Text PDF

Knockdown of miR-182 changes the sensitivity of triple-negative breast cancer cells to cisplatin.

Nucleosides Nucleotides Nucleic Acids

January 2025

Division of Hematology, Department of Internal Medicine, Medical Faculty, Tekirdağ Namık Kemal University, Tekirdağ, Turkey.

Breast cancer is the most common malignancy that affects women. MicroRNAs (miRNAs) play an essential role in cancer therapy and regulate many biological processes such as cisplatin resistance. The study's objective was to determine whether miR-182 dysregulation was the cause of cisplatin resistance in TNBC cell line MDA-MB-231.

View Article and Find Full Text PDF

As multiple imaging modalities cannot reliably diagnose cardiac tumors, the molecular approach offers alternative ways to detect rare ones. One such molecular approach is CRISPR-based diagnostics (CRISPR-Dx). CRISPR-Dx enables visual readout, portable diagnostics, and rapid and multiplex detection of nucleic acids such as microRNA (miRNA).

View Article and Find Full Text PDF

DisGeNet: a disease-centric interaction database among diseases and various associated genes.

Database (Oxford)

January 2025

School of Computer Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China.

The pathogenesis of complex diseases is intricately linked to various genes and network medicine has enhanced understanding of diseases. However, most network-based approaches ignore interactions mediated by noncoding RNAs (ncRNAs) and most databases only focus on the association between genes and diseases. Based on the mentioned questions, we have developed DisGeNet, a database focuses not only on the disease-associated genes but also on the interactions among genes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!