Evidence map›Paper›PMID 30285619›Full record

ArticleBMC genomics2018

Integration of small RNAs and transcriptome sequencing uncovers a complex regulatory network during vernalization and heading stages of orchardgrass (Dactylis glomerata L.).

Guangyan Feng, Lei Xu, Jianping Wang, Gang Nie, Bradley Shaun Bushman, Wengang Xie, Haidong Yan, Zhongfu Yang, Hao Guan, Linkai Huang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  6. Review
  7. Large-scale analyses of angiospermFrontiers in plant science · 2022
    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 at 5 institutions in 2 countries.

Guangyan FengCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China.
Lei XuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China.
Jianping WangAgronomy Department, University of Florida, Gainesville, FL, 32611, USA.
Gang NieCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China.
Bradley Shaun BushmanUSDA-ARS Forage and Range Research Lab, Logan, UT, 80751, USA.
Wengang XieCollege of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, Gansu Province, China.
Haidong YanDepartment of Horticulture, Virginia Tech, Blacksburg, VA, 24061, USA.
Zhongfu YangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China.
Hao GuanCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China.
Linkai HuangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China. huanglinkai@sicau.edu.cn.
Xinquan ZhangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan Province, China. zhangxq@sicau.edu.cn.ORCID http://orcid.org/0000-0002-1433-9510
Sichuan Agricultural University · CNAgricultural Research Service · USLanzhou University · CNUniversity of Florida · USVirginia Tech · US

Funding

National Basic Research Program (973 program) in China No.2014CB138705the earmarked fund for Modern Agro-industry Technology Research System No. CARS-34the National Natural Science Foundation of China NSFC 31872997
6 · The paper itself

Abstract

backgroundFlowering is a critical reproductive process in higher plants. Timing of optimal flowering depends upon the coordination among seasonal environmental cues. For cool season grasses, such as Dactylis glomerata, vernalization induced by low temperature provides competence to initiate flowering after prolonged cold. We combined analyses of the transcriptome and microRNAs (miRNAs) to generate a comprehensive resource for regulatory miRNAs and their target circuits during vernalization and heading stages.

resultsA total of 3,846 differentially expressed genes (DEGs) and 69 differentially expressed miRNAs were identified across five flowering stages. The expression of miR395, miR530, miR167, miR396, miR528, novel_42, novel_72, novel_107, and novel_123 demonstrated significant variations during vernalization. These miRNA targeted genes were involved in phytohormones, transmembrane transport, and plant morphogenesis in response to vernalization. The expression patterns of DEGs related to plant hormones, stress responses, energy metabolism, and signal transduction changed significantly in the transition from vegetative to reproductive phases.

conclusionsFive hub genes, c136110_g1 (BRI1), c131375_g1 (BZR1), c133350_g1 (VRN1), c139830_g1 (VIN3), and c125792_g2 (FT), might play central roles in vernalization response. Our comprehensive analyses have provided a useful platform for investigating consecutive transcriptional and post-transcriptional regulation of critical phases in D. glomerata and provided insights into the genetic engineering of flowering-control in cereal crops.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksDactylisFlowersMicroRNAsMolecular Sequence AnnotationMicroRNAsDactylis glomerataFloweringmiRNAOrchardgrassTranscriptomeVernalization-response

Identifiers

PMID30285619
PMCPMC6171228
OpenAlexW2894708331

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.