Evidence map›Paper›PMID 37514333›Full record

ArticlePlants (Basel, Switzerland)2023

Integrating Full-Length Transcriptome and RNA Sequencing of Siberian Wildrye (

Qingqing Yu, Yi Xiong, Xiaoli Su, Yanli Xiong, Zhixiao Dong, Junming Zhao, Xin Shu, Shiqie Bai, Xiong Lei, Lijun Yan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2023. 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
  2. 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

11 authors.

Qingqing YuCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-5025-9043
Yi XiongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0003-3086-0282
Xiaoli SuCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Yanli XiongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Zhixiao DongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Junming ZhaoCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Xin ShuCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Shiqie BaiSichuan Academy of Grassland Science, Chengdu 610097, China.
Xiong LeiSichuan Academy of Grassland Science, Chengdu 610097, China.
Lijun YanSichuan Academy of Grassland Science, Chengdu 610097, China.
Xiao MaCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.

Funding

Emergency Sci. & Tech Project from National Forestry and Grassland Administration ('Breeding and Cultivation of Fine Herbage Varieties') 20220102Key R & D project of Sichuan Science and Technology Program 2023YFSY0012National Modern Forages Industry Technology System CARS-34National Natural Science Foundation of China 31772661Sichuan Provincial Key Research Project for Forages Breeding 2021YFYZ0013-2Sichuan Provincial Regional Innovation Cooperation Project 2022YFQ0076
6 · The paper itself

Abstract

Drought is one of the most significant limiting factors affecting plant growth and development on the Qinghai-Tibet Plateau (QTP). Mining the drought-tolerant genes of the endemic perennial grass of the QTP, Siberian wildrye (

Indexed as

comparative transcriptomicsdrought stressElymus sibiricusendemic forageWGCNA

Identifiers

PMID37514333
PMCPMC10385362

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.