Improving metallomics information related to transgenic and non-transgenic soybean seeds using 2D-HPLC-ICP-MS and ESI-MS/MS

Mataveli, Lidiane Raquel Verola; Fioramonte, Mariana; Gozzo, Fábio C.; Arruda, Marco Aurélio Zezzi

doi:10.1039/c2mt00186a

Cited by 22 publications

(4 citation statements)

References 23 publications

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“…Ionomics has been used to compare transgenic and non-transgenic soybeans (Yan et al, 2007 ; Mataveli et al, 2010 , 2012 ). Similarly, another study proposed a combination of microwave-induced combustion (MIC) and ICP-MS to analyze bromine, chlorine, iodine, and the associated products in soybeans (Barbosa et al, 2013 ).…”

Section: Ionomics Improvementmentioning

confidence: 99%

Expanding Omics Resources for Improvement of Soybean Seed Composition Traits

et al. 2015

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Food resources of the modern world are strained due to the increasing population. There is an urgent need for innovative methods and approaches to augment food production. Legume seeds are major resources of human food and animal feed with their unique nutrient compositions including oil, protein, carbohydrates, and other beneficial nutrients. Recent advances in next-generation sequencing (NGS) together with “omics” technologies have considerably strengthened soybean research. The availability of well annotated soybean genome sequence along with hundreds of identified quantitative trait loci (QTL) associated with different seed traits can be used for gene discovery and molecular marker development for breeding applications. Despite the remarkable progress in these technologies, the analysis and mining of existing seed genomics data are still challenging due to the complexity of genetic inheritance, metabolic partitioning, and developmental regulations. Integration of “omics tools” is an effective strategy to discover key regulators of various seed traits. In this review, recent advances in “omics” approaches and their use in soybean seed trait investigations are presented along with the available databases and technological platforms and their applicability in the improvement of soybean. This article also highlights the use of modern breeding approaches, such as genome-wide association studies (GWAS), genomic selection (GS), and marker-assisted recurrent selection (MARS) for developing superior cultivars. A catalog of available important resources for major seed composition traits, such as seed oil, protein, carbohydrates, and yield traits are provided to improve the knowledge base and future utilization of this information in the soybean crop improvement programs.

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Section: Ionomics Improvementmentioning

confidence: 99%

Expanding Omics Resources for Improvement of Soybean Seed Composition Traits

et al. 2015

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“…Verola Mataveli et al 78 utilizando um diferente arranjo de técnicas de detecção associada a cromatografia de exclusão por tamanho procuraram explorar novas informações metalômicas relacionadas às sementes de soja transgênicas e não-transgênicas. Por meio da SEC identificaram e separaram três diferentes frações metálicas, posteriormente uma nova separação, agora com uma cromatografia de troca aniônica, foi realizada, e finalmente as proteínas foram caracterizadas com um espectrômetro de massa com ionização por eletropulverização (ESI-MS/MS).…”

Section: Cromatografia Por Exclusão De Tamanhosunclassified

Metallomics: Methodologies and Applications in Environmental Studies

Silva¹,

Silva²

2020

Rev. Virtual Quim.

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Metallomics is an interdisciplinary area that has grown in recent years thanks to the development and application of techniques such as electrophoresis, chromatography, and spectrometry. Advances in this area, have allowed studies of functional and structural characterization of proteins linked to metals in different organisms and tissues, and thus, led to the understanding of the complex processes involving metalloproteins, and with this, their application for the realization of environmental monitoring studies. In this article, a review of the main metallomic techniques and their applications in environmental studies was carried out from 2008 to 2018, based on the search for scientific articles in the "Scopus" database. A metalômica é uma área interdisciplinar que tem crescido nos últimos anos, em virtude ao desenvolvimento e aplicação de técnicas como eletroforese, cromatografia e espectrometria. Avanços nessa área, têm permitido estudos de caracterização funcional e estrutural de proteínas ligadas a metais em diferentes organismos e tecidos, e desta forma, levado à compreensão, dos complexos processos que envolvem as metaloproteínas, e com isto, garantido sua aplicação para a realização de estudos de monitoramento ambiental. No presente artigo, foi realizada uma revisão das principais técnicas metalômicas e de suas aplicações em estudos ambientais no período de 2008 a 2018, a partir da busca de artigos científicos na base de dados "Scopus".

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“…HPLC separates analytes using two immiscible phases or layers, one of which is held stationary while the other moves over it [47,100]. A variety of chromatographic modes have been developed and are used depending on the analytes: protein isolation and puri cation using ion-exchange (AEX), hydrophobic interaction chromatography (HIC), a nity chromatography (AC), reversed-phase (RP-HPLC) and/or size exclusion chromatography (SEC) [101][102][103].…”

Section: Proteomics Studiesmentioning

confidence: 99%

“…e AEX, HIC and RP-HPLC modes are also used for peptide analysis [59,72,101,[104][105][106][107]. e chromatographic modes are based on several di erent mechanisms; RP-HPLC is used for the separation of neutral species on the basis of hydrophobicity, AEX is used for the separation of ionic solutes on the basis of charge, SEC is used for the separation of molecules on the basis of di erences in molecular size, and AC is used for the separation of biomolecules on the basis of the lock-and-key mechanism prevalent in biological systems [100].…”

Section: Proteomics Studiesmentioning

confidence: 99%

Arabidopsis thaliana and omics approaches: a review

Carneiro¹,

Madrid²,

Maciel³

et al. 2015

JIOMICS

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Arabidopsis thaliana is a small, owering plant that is widely used as a model organism in plant biology, mainly because it is the rst plant to have its entire genome sequenced. It has since proven to be an ideal organism for studying plant development. Arabidopsis is commonly used as a model plant for genomics, metabolomics and proteomics studies, and more recently it has been utilized in metallomic studies. Because of its widespread applications, many methods for Arabidopsis sample preparation, analytes separation and data quanti cation have been explored. is review brie y describes the Arabidopsis thaliana characteristics, the developed researches and the primary methods using this plant in di erent elds of OMICS. In the future, the availability of Arabidopsis genomic information may result in its continuous development for nanoparticles and metallomics studies.

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Improving metallomics information related to transgenic and non-transgenic soybean seeds using 2D-HPLC-ICP-MS and ESI-MS/MS

Cited by 22 publications

References 23 publications

Expanding Omics Resources for Improvement of Soybean Seed Composition Traits

Expanding Omics Resources for Improvement of Soybean Seed Composition Traits

Metallomics: Methodologies and Applications in Environmental Studies

Arabidopsis thaliana and omics approaches: a review

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