Literature DB >> 30877485

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

Siriwat Boonchaisri1, Simone Rochfort2,3, Trevor Stevenson1, Daniel A Dias4.   

Abstract

BACKGROUND: Transgenic 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.

Entities:  

Keywords:  Creeping bentgrass; Glufosinate; Glyphosate; Herbicide-resistance; Kentucky bluegrass; Metabolomics; Turfgrass

Mesh:

Substances:

Year:  2019        PMID: 30877485     DOI: 10.1007/s11306-019-1507-4

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  49 in total

1.  Why have no new herbicide modes of action appeared in recent years?

Authors:  Stephen O Duke
Journal:  Pest Manag Sci       Date:  2011-12-22       Impact factor: 4.845

2.  Metabolomics for salinity research.

Authors:  Ute Roessner; Diane M Beckles
Journal:  Methods Mol Biol       Date:  2012

Review 3.  Plant B vitamin pathways and their compartmentation: a guide for the perplexed.

Authors:  Svetlana Gerdes; Claudia Lerma-Ortiz; Océane Frelin; Samuel M D Seaver; Christopher S Henry; Valérie de Crécy-Lagard; Andrew D Hanson
Journal:  J Exp Bot       Date:  2012-08-21       Impact factor: 6.992

Review 4.  Current state of herbicides in herbicide-resistant crops.

Authors:  Jerry M Green
Journal:  Pest Manag Sci       Date:  2014-02-24       Impact factor: 4.845

5.  Differential metabolic responses of perennial grass Cynodon transvaalensis×Cynodon dactylon (C₄) and Poa Pratensis (C₃) to heat stress.

Authors:  Hongmei Du; Zhaolong Wang; Wenjuan Yu; Yimin Liu; Bingru Huang
Journal:  Physiol Plant       Date:  2010-12-22       Impact factor: 4.500

6.  Specific roles of alpha- and gamma-tocopherol in abiotic stress responses of transgenic tobacco.

Authors:  Ali-Reza Abbasi; Mohamad Hajirezaei; Daniel Hofius; Uwe Sonnewald; Lars M Voll
Journal:  Plant Physiol       Date:  2007-02-09       Impact factor: 8.340

7.  Growth, productivity, and competitiveness of introgressed weedy Brassica rapa hybrids selected for the presence of Bt cry1Ac and gfp transgenes.

Authors:  Matthew D Halfhill; Jamie P Sutherland; Hong Seok Moon; Guy M Poppy; Suzanne I Warwick; Arthur K Weissinger; Thomas W Rufty; Paul L Raymer; C Neal Stewart
Journal:  Mol Ecol       Date:  2005-09       Impact factor: 6.185

8.  Evidence for landscape-level, pollen-mediated gene flow from genetically modified creeping bentgrass with CP4 EPSPS as a marker.

Authors:  Lidia S Watrud; E Henry Lee; Anne Fairbrother; Connie Burdick; Jay R Reichman; Mike Bollman; Marjorie Storm; George King; Peter K Van de Water
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-24       Impact factor: 11.205

9.  Levels of polyunsaturated fatty acids correlate with growth rate in plant cell cultures.

Authors:  Coline Meï; Morgane Michaud; Mathilde Cussac; Catherine Albrieux; Valérie Gros; Eric Maréchal; Maryse A Block; Juliette Jouhet; Fabrice Rébeillé
Journal:  Sci Rep       Date:  2015-10-15       Impact factor: 4.379

10.  Progress in Metabolomics Standardisation and its Significance in Future Clinical Laboratory Medicine.

Authors:  Daniel A Dias; Therese Koal
Journal:  EJIFCC       Date:  2016-12-01
View more
  3 in total

1.  Utilization of GC-MS untargeted metabolomics to assess the delayed response of glufosinate treatment of transgenic herbicide resistant (HR) buffalo grasses (Stenotaphrum secundatum L.).

Authors:  Siriwat Boonchaisri; Trevor Stevenson; Daniel A Dias
Journal:  Metabolomics       Date:  2020-01-27       Impact factor: 4.290

2.  LC-MS untargeted metabolomics assesses the delayed response of glufosinate treatment of transgenic glufosinate resistant (GR) buffalo grasses (Stenotaphrum secundatum L.).

Authors:  Siriwat Boonchaisri; Simone Rochfort; Trevor Stevenson; Daniel A Dias
Journal:  Metabolomics       Date:  2021-02-20       Impact factor: 4.290

3.  Long-Term Exposure of Psoralen and Isopsoralen Induced Hepatotoxicity and Serum Metabolites Profiles Changes in Female Rats.

Authors:  Yingli Yu; Pengli Wang; Ruili Yu; Jiaxi Lu; Miaomiao Jiang; Kun Zhou
Journal:  Metabolites       Date:  2019-11-02
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.