» Articles » PMID: 25903161

An Integrative Approach to Identify Hexaploid Wheat MiRNAome Associated with Development and Tolerance to Abiotic Stress

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2015 Apr 24
PMID 25903161
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Wheat is a major staple crop with broad adaptability to a wide range of environmental conditions. This adaptability involves several stress and developmentally responsive genes, in which microRNAs (miRNAs) have emerged as important regulatory factors. However, the currently used approaches to identify miRNAs in this polyploid complex system focus on conserved and highly expressed miRNAs avoiding regularly those that are often lineage-specific, condition-specific, or appeared recently in evolution. In addition, many environmental and biological factors affecting miRNA expression were not yet considered, resulting still in an incomplete repertoire of wheat miRNAs.

Results: We developed a conservation-independent technique based on an integrative approach that combines machine learning, bioinformatic tools, biological insights of known miRNA expression profiles and universal criteria of plant miRNAs to identify miRNAs with more confidence. The developed pipeline can potentially identify novel wheat miRNAs that share features common to several species or that are species specific or clade specific. It allowed the discovery of 199 miRNA candidates associated with different abiotic stresses and development stages. We also highlight from the raw data 267 miRNAs conserved with 43 miRBase families. The predicted miRNAs are highly associated with abiotic stress responses, tolerance and development. GO enrichment analysis showed that they may play biological and physiological roles associated with cold, salt and aluminum (Al) through auxin signaling pathways, regulation of gene expression, ubiquitination, transport, carbohydrates, gibberellins, lipid, glutathione and secondary metabolism, photosynthesis, as well as floral transition and flowering.

Conclusion: This approach provides a broad repertoire of hexaploid wheat miRNAs associated with abiotic stress responses, tolerance and development. These valuable resources of expressed wheat miRNAs will help in elucidating the regulatory mechanisms involved in freezing and Al responses and tolerance mechanisms as well as for development and flowering. In the long term, it may help in breeding stress tolerant plants.

Citing Articles

Polyploidization: A Biological Force That Enhances Stress Resistance.

Li X, Zhang L, Wei X, Datta T, Wei F, Xie Z Int J Mol Sci. 2024; 25(4).

PMID: 38396636 PMC: 10888447. DOI: 10.3390/ijms25041957.


Genome-Wide Identification and Functional Characterization of Auxin Response Factor (ARF) Genes in Eggplant.

Chen J, Wang S, Wu F, Wei M, Li J, Yang F Int J Mol Sci. 2022; 23(11).

PMID: 35682898 PMC: 9181582. DOI: 10.3390/ijms23116219.


Integrated Metabolomic and Transcriptomic Analysis of the Flavonoid Accumulation in the Leaves of at Different Altitudes.

Du Z, Lin W, Yu B, Zhu J, Li J Front Plant Sci. 2022; 12:794137.

PMID: 35211131 PMC: 8860981. DOI: 10.3389/fpls.2021.794137.


Computational screening of miRNAs and their targets in saffron (Crocus sativus L.) by transcriptome mining.

Taheri-Dehkordi A, Naderi R, Martinelli F, Salami S Planta. 2021; 254(6):117.

PMID: 34751821 DOI: 10.1007/s00425-021-03761-7.


Identification, evolution, expression, and docking studies of fatty acid desaturase genes in wheat (Triticum aestivum L.).

Hajiahmadi Z, Abedi A, Wei H, Sun W, Ruan H, Zhuge Q BMC Genomics. 2020; 21(1):778.

PMID: 33167859 PMC: 7653692. DOI: 10.1186/s12864-020-07199-1.


References
1.
Sun G, Stewart Jr C, Xiao P, Zhang B . MicroRNA expression analysis in the cellulosic biofuel crop switchgrass (Panicum virgatum) under abiotic stress. PLoS One. 2012; 7(3):e32017. PMC: 3314629. DOI: 10.1371/journal.pone.0032017. View

2.
Kantar M, Akpinar B, Valarik M, Lucas S, Dolezel J, Hernandez P . Subgenomic analysis of microRNAs in polyploid wheat. Funct Integr Genomics. 2012; 12(3):465-79. DOI: 10.1007/s10142-012-0285-0. View

3.
Schulte J, Marschall T, Martin M, Rosenstiel P, Mestdagh P, Schlierf S . Deep sequencing reveals differential expression of microRNAs in favorable versus unfavorable neuroblastoma. Nucleic Acids Res. 2010; 38(17):5919-28. PMC: 2943620. DOI: 10.1093/nar/gkq342. View

4.
Leclercq M, Diallo A, Blanchette M . Computational prediction of the localization of microRNAs within their pre-miRNA. Nucleic Acids Res. 2013; 41(15):7200-11. PMC: 3753617. DOI: 10.1093/nar/gkt466. View

5.
Fahlgren N, Jogdeo S, Kasschau K, Sullivan C, Chapman E, Laubinger S . MicroRNA gene evolution in Arabidopsis lyrata and Arabidopsis thaliana. Plant Cell. 2010; 22(4):1074-89. PMC: 2879733. DOI: 10.1105/tpc.110.073999. View