Evidence map›Paper›PMID 26480945›Full record

ArticleBMC plant biology2015

Messenger RNA exchange between scions and rootstocks in grafted grapevines.

Yingzhen Yang, Linyong Mao, Yingyos Jittayasothorn, Youngmin Kang, Chen Jiao, Zhangjun Fei, Gan-Yuan Zhong

Abstract read
In one paragraph

Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. First brassinosteroid-based dwarf mutant discovered and characterized in grapevine.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  5. Article
  6. Article
  7. Genome Editing by Grafting.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Long-Distance Movement ofPlants (Basel, Switzerland) · 2023
    Article
  16. The Small RNA Component ofPlants (Basel, Switzerland) · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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.

Yingzhen YangUnited States Department of Agriculture, Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14456, USA. yingzhen.yang@ars.usda.gov.
Linyong MaoBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA. linyong.mao@Howard.edu.
Yingyos JittayasothornUnited States Department of Agriculture, Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14456, USA. yingyos_j@hotmail.com.
Youngmin KangUnited States Department of Agriculture, Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14456, USA. ymkang@kiom.re.kr.
Chen JiaoBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA. cj334@cornell.edu.
Zhangjun FeiBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA. zf25@cornell.edu.
Gan-Yuan ZhongUnited States Department of Agriculture, Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14456, USA. ganyuan.zhong@ars.usda.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrafting has been widely practiced for centuries in the propagation and production of many vegetable and fruit species. However, the underlying molecular and genetic mechanisms for how the graft partners interact with each other to produce a successful graft remain largely unknown. We hypothesized that genome-wide mRNA exchanges, which were recently documented in grafted model plant species, are a general phenomenon widely present in grafted plants, including those in vegetable and fruit species, and have specific genotype- and environment-dependent characteristics modulating plant performance.

methodsUsing diagnostic SNPs derived from high throughput genome sequencing, we identified and characterized the patterns of genome-wide mRNA exchanges across graft junctions in grafted grapevines grown in the in vitro and field conditions.

resultsWe identified more than 3000 genes transporting mRNAs across graft junctions. These genes were involved in diverse biological processes and those involved in basic cellular, biosynthetic, catabolic, and metabolic activities, as well as responses to stress and signal transduction, were highly enriched. Field-grown mature grafts had much fewer genes transmitting mRNAs than the in vitro young grafts (987 vs. 2679). These mobile mRNAs could move directionally or bi-directionally between scions and rootstocks. The mRNA transmission rates of these genes were generally low, with 65% or more having transmission rates lower than 0.01. Furthermore, genotypes, graft combinations and growth environments had impact on the directions of mRNA movement as well as the numbers and species of mRNAs being exchanged. Moreover, we found evidence for the presences of both passive and selective mechanisms underlying long distance mRNA trafficking in grafted grapevines.

conclusionsWe extended the studies of mRNA exchanges in model species to grapevines and demonstrated that genomic-scale mRNA exchange across graft junctions occurred in grapevines in a passive or genotype and environment-dependent manner.

Indexed as

RNA TransportBase SequenceGenotypeMolecular Sequence DataPlant RootsPlant StemsRNA, MessengerVitisRNA, Messenger

Identifiers

PMID26480945
PMCPMC4612405

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.