Evidence map›Paper›PMID 40067492›Full record

ArticlePlanta2025

miRNA-seq analysis revealed a potential strategy underlying poplar root responses to low nitrogen stress.

Chun Wang, Tiantian Fu, Zeqi Wang, Siyu Hou, Kaijing Rong, Jing Wang, Yiyi Yin, Xiaoqian Yang, Ruen Yu, Dandan Xiao and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Chun Wang *State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Tiantian Fu *State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Zeqi WangState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Siyu HouState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Kaijing RongState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Jing WangState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Yiyi YinState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Xiaoqian YangState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Ruen YuState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Dandan XiaoState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
Yanwei WangState Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, the Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China. ywwang@bjfu.edu.cn.ORCID http://orcid.org/0000-0002-4111-4843

Funding

Beijing Natural Science Foundation 6232030Major Project of Agricultural Biological Breeding 2022ZD0401503National Natural Science Foundation of China 32371577
6 · The paper itself

Abstract

MAIN

conclusion87 miRNAs responding to low nitrogen stress in poplar roots were identified by miRNA-seq, and their target genes were predicted. Additionally, several key miRNA-mRNA modules were summarized. ASBTRACT: Nitrogen (N) is an essential nutrient for plants, and low nitrogen (LN) availability can constrain plant growth and development. MicroRNAs (miRNAs) play an important role in plant response to nutrient stress as a regulatory factor. However, studies on the function of poplar miRNAs under LN stress are limited. In this study, we investigated the potential role of miRNA in poplar roots under LN stress using miRNA-seq. 305 conserved miRNAs belonging to 48 miRNA families were identified, and 15 novel miRNAs were predicted. Among these, 83 known miRNAs from 21 families and 4 novel miRNAs were confirmed as differential expressed miRNAs (DEMs) following LN stress treatment at 6, 9, 24, 72, 240, and 504 h compared to 0 h. Functional annotation analysis indicated that an array of miRNAs, including miR160, miR172, and miR166, should be involved in LN stress. TargetFinder and psRobot predicted that 52 of these miRNAs target 248 genes, resulting in 319 miRNA targeting pairs. Degradome sequencing further revealed that these 52 miRNAs targeted 457 genes, with 358 miRNA-target pairs. Gene annotation of target genes indicated that AP2, ARF, HD-ZIP, and other genes might respond to LN stress by regulating root growth and development. These findings provide valuable insights into miRNA functions and establish a framework for further investigating miRNA-mediated N signal transduction networks under LN stress. This research may offer new perspectives for genetic engineering to enhance nitrogen use efficiency in forest trees.

Indexed as

MicroRNAsNitrogenPlant RootsPopulusGene Expression Regulation, PlantRNA, PlantStress, PhysiologicalMicroRNAsNitrogenRNA, PlantLow nitrogen stressMiRNA-seqPopulus alba × P. glandulosaRoot developmentTarget genes

Identifiers

PMID40067492

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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.