Evidence map›Paper›PMID 30877485›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2019

Recent developments in metabolomics-based research in understanding transgenic grass metabolism.

Siriwat Boonchaisri, Simone Rochfort, Trevor Stevenson, Daniel A Dias

Abstract readReview
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In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Siriwat BoonchaisriSchool of Science, RMIT University, Bundoora, VIC, 3083, Australia.ORCID 0000-0001-6823-0839
Simone RochfortAgriculture Research Victoria, AgriBio, Bundoora, VIC, 3083, Australia.
Trevor StevensonSchool of Science, RMIT University, Bundoora, VIC, 3083, Australia.
Daniel A DiasSchool of Health and Biomedical Sciences, Discipline of Laboratory Medicine, RMIT University, PO Box 71, Bundoora, VIC, 3083, Australia. daniel.dias@rmit.edu.au.ORCID 0000-0003-0129-3178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransgenic herbicide-resistant (HR) turfgrass together with its associated, broad spectrum herbicides promise cheap, selective and efficient weed control by excluding infested weeds resulting in turf lawn with high uniformity and aesthetic value. The concept of this "weeding program" initiated from modern biotechnology has been widely implemented in several principal crops including maize, soybean, canola and cotton as early as the 1990s. Transgenic HR turfgrass classified as a genetically modified organism (GMO) has undoubtedly caused public concern with respect to its biosafety and legalities similar to well-established HR crops. Nevertheless, applying metabolomics-based approaches which focuses on the identification of the global metabolic state of a biological system in response to either internal or external stimuli can also provide a comprehensive characterization of transgenic grass metabolism and its involvement in biosecurity and public perception. AIM OF REVIEW: This review summaries the recent applications of metabolomics applied to HR crops to predict the molecular and physiological phenotypes of HR turfgrass species, glyphosate-resistant Kentucky bluegrass (Poa pratensis L.) and glufosinate-resistant creeping bentgrass (Agrotis stonifera L.). Additionally, this review also presents background knowledge with respect to the application of metabolomics, transformation of HR crops and its biosafety concerns, turfgrass botanical knowledge and its economic and aesthetic value. KEY SCIENTIFIC CONCEPTS OF REVIEW: The purpose of this review is to demonstrate the molecular and physiological phenotypes of HR turfgrass based on several lines of evidence primarily derived from metabolomics data applied to HR crops to identify alterations on HR turfgrass metabolism as a result of genetic modification that confers resistant traits.

Indexed as

AgrostisBiotechnologyCrops, AgriculturalHerbicide ResistanceHerbicidesMetabolomicsPlants, Genetically ModifiedPlant WeedsPoaPoaceaeResearchWeed ControlHerbicidesCreeping bentgrassGlufosinateGlyphosateHerbicide-resistanceKentucky bluegrassMetabolomicsTurfgrass

Identifiers

What OpenQuestion holds

Textmetadata
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.