Evidence map›Paper›PMID 28025595›Full record

ArticleInternational journal of plant genomics2016

Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant of

Kevin C Lambirth, Adam M Whaley, Jessica A Schlueter, Kenneth J Piller, Kenneth L Bost

Abstract read
In one paragraph

Article in International journal of plant genomics, 2016. 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

5 authors.

Kevin C LambirthDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, North Carolina Research Campus, Kannapolis, NC 28081, USA.ORCID 0000-0002-6568-543X
Adam M WhaleyDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Jessica A SchlueterDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Kenneth J PillerDepartment of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Kenneth L BostDepartment of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transgenic crops have been utilized for decades to enhance agriculture and more recently have been applied as bioreactors for manufacturing pharmaceuticals. Recently, we investigated the gene expression profiles of several in-house transgenic soybean events, finding one transformant group to be consistently different from our controls. In the present study, we examined polymorphisms and sequence variations in the exomes of the same transgenic soybean events. We found that the previously dissimilar soybean line also exhibited markedly increased levels of polymorphisms within mRNA transcripts from seed tissue, many of which are classified as gene expression modifiers. The results from this work will direct future investigations to examine novel SNPs controlling traits of great interest for breeding and improving transgenic soybean crops. Further, this study marks the first work to investigate SNP rates in transgenic soybean seed tissues and demonstrates that while transgenesis may induce abundant unanticipated changes in gene expression and nucleotide variation, phenotypes and overall health of the plants examined remained unaltered.

Identifiers

PMID28025595
PMCPMC5153505

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Registered trials

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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.