Evidence map›Paper›PMID 28768484›Full record

ArticleBMC genomics2017

Genome-wide identification of soybean microRNA responsive to soybean cyst nematodes infection by deep sequencing.

Bin Tian, Shichen Wang, Timothy C Todd, Charles D Johnson, Guiliang Tang, Harold N Trick

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
12.7field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. miRNA-Mediated Regulation ofInternational journal of molecular sciences · 2025
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  3. Article
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  5. Review
  6. Functional Identification of miR2119 TargetingJournal of agricultural and food chemistry · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Soybean miR159International journal of molecular sciences · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Stress induced dynamic adjustment of conserved miR164:NAC module.Plant-environment interactions (Hoboken, N.J.) · 2020
    Article
  20. 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

6 authors at 2 institutions in 1 country.

Bin TianDepartment of Plant Pathology, Kansas State University, 1712 Claflin Road, 4024 Throckmorton Plant Sciences Center, Manhattan, KS, 66506, USA.
Shichen WangGenomics and Bioinformatics Service, Texas A&M AgriLife, College Station, TX, 77845, USA.
Timothy C ToddDepartment of Plant Pathology, Kansas State University, 1712 Claflin Road, 4024 Throckmorton Plant Sciences Center, Manhattan, KS, 66506, USA.
Charles D JohnsonGenomics and Bioinformatics Service, Texas A&M AgriLife, College Station, TX, 77845, USA.
Guiliang TangDepartment of Biological Sciences, Michigan Technological University, Dow Environmental Sciences and Engineering Building - Room 406, 1400 Townsend Drive, Houghton, MI, 49931-1295, USA.
Harold N TrickDepartment of Plant Pathology, Kansas State University, 1712 Claflin Road, 4024 Throckmorton Plant Sciences Center, Manhattan, KS, 66506, USA. hnt@ksu.edu.ORCID 0000-0001-5255-5575
Kansas State University · USMichigan Technological University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe soybean cyst nematode (SCN), Heterodera glycines, is one of the most devastating diseases limiting soybean production worldwide. It is known that small RNAs, including microRNAs (miRNAs) and small interfering RNAs (siRNAs), play important roles in regulating plant growth and development, defense against pathogens, and responses to environmental changes.

resultsIn order to understand the role of soybean miRNAs during SCN infection, we analyzed 24 small RNA libraries including three biological replicates from two soybean cultivars (SCN susceptible KS4607, and SCN HG Type 7 resistant KS4313N) that were grown under SCN-infested and -noninfested soil at two different time points (SCN feeding establishment and egg production). In total, 537 known and 70 putative novel miRNAs in soybean were identified from a total of 0.3 billion reads (average about 13.5 million reads for each sample) with the programs of Bowtie and miRDeep2 mapper. Differential expression analyses were carried out using edgeR to identify miRNAs involved in the soybean-SCN interaction. Comparative analysis of miRNA profiling indicated a total of 60 miRNAs belonging to 25 families that might be specifically related to cultivar responses to SCN. Quantitative RT-PCR validated similar miRNA interaction patterns as sequencing results.

conclusionThese findings suggest that miRNAs are likely to play key roles in soybean response to SCN. The present work could provide a framework for miRNA functional identification and the development of novel approaches for improving soybean SCN resistance in future studies.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingPlant DiseasesSequence Analysis, RNAAnimalsGlycine maxMicroRNAsTylenchoideaMicroRNAsmicroRNAsRNA-seqSoybeanSoybean cyst nematode

Identifiers

PMID28768484
PMCPMC5541722
OpenAlexW2740790977

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.