ArticleFunctional & integrative genomics2014
New wheat microRNA using whole-genome sequence.
Article in Functional & integrative genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 38 citations in OpenAlex.
- MicroRNA528 and Its Regulatory Roles in Monocotyledonous Plants.International journal of molecular sciences · 2025Review
- Computational screening of miRNAs and their targets in saffron (Crocus sativus L.) by transcriptome mining.Planta · 2021Article
- Combined drought and heat stresses trigger different sets of miRNAs in contrasting potato cultivars.Functional & integrative genomics · 2021Article
- Pan-Genome miRNomics inPlants (Basel, Switzerland) · 2021Article
- Comparative Small RNA Profiling and Functional Exploration on Wheat With High- and Low-Cadmium Accumulation.Frontiers in genetics · 2021Article
- Comparative profiling of roots small RNA expression and corresponding gene ontology and pathway analyses for low- and high-cadmium-accumulating genotypes of wheat in response to cadmium stress.Functional & integrative genomics · 2020Article
- Discovery and profiling of small RNAs from Puccinia triticina by deep sequencing and identification of their potential targets in wheat.Functional & integrative genomics · 2019Article
- Chromosome-based survey sequencing reveals the genome organization of wild wheat progenitor Triticum dicoccoides.Plant biotechnology journal · 2018Article
- TaMIR1139: a wheat miRNA responsive to Pi-starvation, acts a critical mediator in modulating plant tolerance to Pi deprivation.Plant cell reports · 2018Article
- A large-scale multiomics analysis of wheat stem solidness and the wheat stem sawfly feeding response, and syntenic associations in barley, Brachypodium, and rice.Functional & integrative genomics · 2018Article
- RNA Sequencing and Co-expressed Long Non-coding RNA in Modern and Wild Wheats.Scientific reports · 2017Article
- Identification and characterization of durum wheat microRNAs in leaf and root tissues.Functional & integrative genomics · 2017Article
- Wheat miRNA ancestors: evident by transcriptome analysis of A, B, and D genome donors.Functional & integrative genomics · 2017Article
- Abiotic stress miRNomes in the Triticeae.Functional & integrative genomics · 2017Review
- Redox and Ionic Homeostasis Regulations against Oxidative, Salinity and Drought Stress in Wheat (A Systems Biology Approach).Frontiers in genetics · 2017Review
- Assembly and Annotation of Transcriptome Provided Evidence of miRNA Mobility between Wheat and Wheat Stem Sawfly.Frontiers in plant science · 2017Article
- Article
- Deep sequencing of wheat sRNA transcriptome reveals distinct temporal expression pattern of miRNAs in response to heat, light and UV.Scientific reports · 2016Article
- PlanTE-MIR DB: a database for transposable element-related microRNAs in plant genomes.Functional & integrative genomics · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs are post-transcriptional regulators of gene expression, taking roles in a variety of fundamental biological processes. Hence, their identification, annotation and characterization are of great significance, especially in bread wheat, one of the main food sources for humans. The recent availability of 5× coverage Triticum aestivum L. whole-genome sequence provided us with the opportunity to perform a systematic prediction of a complete catalogue of wheat microRNAs. Using an in silico homology-based approach, stem-loop coding regions were derived from two assemblies, constructed from wheat 454 reads. To avoid the presence of pseudo-microRNAs in the final data set, transposable element related stem-loops were eliminated by repeat analysis. Overall, 52 putative wheat microRNAs were predicted, including seven, which have not been previously published. Moreover, with distinct analysis of the two different assemblies, both variety and representation of putative microRNA-coding stem-loops were found to be predominant in the intergenic regions. By searching available expressed sequences and small RNA library databases, expression evidence for 39 (out of 52) putative wheat microRNAs was provided. Expression of three of the predicted microRNAs (miR166, miR396 and miR528) was also comparatively quantified with real-time quantitative reverse transcription PCR. This is the first report on in silico prediction of a whole repertoire of bread wheat microRNAs, supported by the wet-lab validation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.