Evidence map›Paper›PMID 29093758›Full record

ArticleMobile DNA2017

Hao Yin, Xiao Wu, Dongqing Shi, Yangyang Chen, Kaijie Qi, Zhengqiang Ma, Shaoling Zhang

Open access · goldAbstract read
In one paragraph

Article in Mobile DNA, 2017. 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
1.0field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 1 institution in 1 country.

Hao YinCenter of Pear Engineering Technology Research, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095 China.
Xiao WuCenter of Pear Engineering Technology Research, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095 China.
Dongqing ShiCenter of Pear Engineering Technology Research, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095 China.
Yangyang ChenCenter of Pear Engineering Technology Research, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095 China.
Kaijie QiCenter of Pear Engineering Technology Research, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095 China.
Zhengqiang MaState Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.
Shaoling ZhangCenter of Pear Engineering Technology Research, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095 China.
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong terminal repeat retrotransposons (LTR-RTs) are major components of plant genomes. Common LTR-RTs contain the palindromic dinucleotide 5'-'TG'-'CA'-3' motif at the ends. Thus, further analyses of non-canonical LTR-RTs with non-palindromic motifs will enhance our understanding of their structures and evolutionary history.

resultsHere, we report two new LTR-RT subfamilies (

conclusionsTwo novel LTR-RT subfamilies that terminated with non-palindromic dinucleotides at the ends of their LTRs were identified in four Rosaceae species, and a deep analysis showed their recent activity, horizontal transfer and varied transcriptional levels in different species, organs and stress treatments. This work enhances our understanding of the structural variation and evolutionary history of LTR-RTs in plants and also provides a valuable resource for future investigations of LTR-RTs having specific structures in other species.

Indexed as

Horizontal transferLTR retrotransposonPearRosaceaeTranscription activity

Identifiers

PMID29093758
PMCPMC5659011
OpenAlexW2765907005

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.