Evidence map›Paper›PMID 32758131›Full record

ArticleBMC plant biology2020

Comparative transcriptome analyses reveal different mechanism of high- and low-tillering genotypes controlling tiller growth in orchardgrass (Dactylis glomerata L.).

Xiaoheng Xu, Guangyan Feng, Yueyang Liang, Yang Shuai, Qiuxu Liu, Gang Nie, Zhongfu Yang, Linkai Hang, Xinquan Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

9 authors at 2 institutions in 1 country.

Xiaoheng XuDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Guangyan FengDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Yueyang LiangRice Research Institute, Sichuan Agricultural University, Chengdu, China.
Yang ShuaiDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Qiuxu LiuDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Gang NieDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Zhongfu YangDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Linkai HangDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
Xinquan ZhangDepartment of Grassland Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China. zhangxq@sicau.edu.cn.
Sichuan Agricultural University · CNRice Research Institute · CN

Funding

Modern Agro-industry Technology Research System No.CARS-34National Natural Science Foundation of China (CN) NSFC 31872997
6 · The paper itself

Abstract

backgroundTillering is an important agronomic trait underlying the yields and reproduction of orchardgrass (Dactylis glomerata), an important perennial forage grass. Although some genes affecting tiller initiation have been identified, the tillering regulatory network is still largely unknown, especially in perennial forage grasses. Thus, unraveling the regulatory mechanisms of tillering in orchardgrass could be helpful in developing selective strategies for high-yield perennial grasses. In this study, we generated high-throughput RNA-sequencing data from multiple tissues of tillering stage plants to identify differentially expressed genes (DEGs) between high- and low-tillering orchardgrass genotypes. Gene Ontology and pathway enrichment analyses connecting the DEGs to tillering number diversity were conducted.

resultsIn the present study, approximately 26,282 DEGs were identified between two orchardgrass genotypes, AKZ-NRGR667 (a high-tillering genotype) and D20170203 (a low-tillering genotype), which significantly differed in tiller number. Pathway enrichment analysis indicated that DEGs related to the biosynthesis of three classes of phytohormones, i.e., strigolactones (SLs), abscisic acid (ABA), and gibberellic acid (GA), as well as nitrogen metabolism dominated such differences between the high- and low-tillering genotypes. We also confirmed that under phosphorus deficiency, the expression level of the major SL biosynthesis genes encoding DWARF27 (D27), 9-cis-beta-carotene 9',10'-cleaving dioxygenase (CCD7), carlactone synthase (CCD8), and more axillary branching1 (MAX1) proteins in the high-tillering orchardgrass genotype increased more slowly relative to the low-tillering genotype.

conclusionsHere, we used transcriptomic data to study the tillering mechanism of perennial forage grasses. We demonstrated that differential expression patterns of genes involved in SL, ABA, and GA biosynthesis may differentiate high- and low-tillering orchardgrass genotypes at the tillering stage. Furthermore, the core SL biosynthesis-associated genes in high-tillering orchardgrass were more insensitive than the low-tillering genotype to phosphorus deficiency which can lead to increases in SL biosynthesis, raising the possibility that there may be distinct SL biosynthesis way in tillering regulation in orchardgrass. Our research has revealed some candidate genes involved in the regulation of tillering in perennial grasses that is available for establishment of new breeding resources for high-yield perennial grasses and will serve as a new resource for future studies into molecular mechanism of tillering regulation in orchardgrass.

Indexed as

Genes, PlantDactylisGene Expression ProfilingGene Regulatory NetworksGenotypeRNA, PlantRNA-SeqTranscriptomeRNA, PlantMolecular mechanismsOrchardgrassPlant hormonesRNA-seqTillering regulation

Identifiers

PMID32758131
PMCPMC7409468
OpenAlexW3047281590

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.