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      Metabolomics Intervention towards Better Understanding of Plant Traits

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          Abstract

          The majority of the most economically important plant and crop species are enriched with the availability of high-quality reference genome sequences forming the basis of gene discovery which control the important biochemical pathways. The transcriptomics and proteomics resources have also been made available for many of these plant species that intensify the understanding at expression levels. However, still we lack integrated studies spanning genomics–transcriptomics–proteomics, connected to metabolomics, the most complicated phase in phenotype expression. Nevertheless, for the past few decades, emphasis has been more on metabolome which plays a crucial role in defining the phenotype (trait) during crop improvement. The emergence of modern high throughput metabolome analyzing platforms have accelerated the discovery of a wide variety of biochemical types of metabolites and new pathways, also helped in improving the understanding of known existing pathways. Pinpointing the causal gene(s) and elucidation of metabolic pathways are very important for development of improved lines with high precision in crop breeding. Along with other-omics sciences, metabolomics studies have helped in characterization and annotation of a new gene(s) function. Hereby, we summarize several areas in the field of crop development where metabolomics studies have made its remarkable impact. We also assess the recent research on metabolomics, together with other omics, contributing toward genetic engineering to target traits and key pathway(s).

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          Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis.

          Contemporary data for causes of vision impairment and blindness form an important basis of recommendations in public health policies. Refreshment of the Global Vision Database with recently published data sources permitted modelling of cause of vision loss data from 1990 to 2015, further disaggregation by cause, and forecasts to 2020.
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            MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis

            Data-independent acquisition (DIA) in liquid chromatography tandem mass spectrometry (LC-MS/MS) provides more comprehensive untargeted acquisition of molecular data. Here we provide an open-source software pipeline, MS-DIAL, to demonstrate how DIA improves simultaneous identification and quantification of small molecules by mass spectral deconvolution. For reversed phase LC-MS/MS, our program with an enriched LipidBlast library identified total 1,023 lipid compounds from nine algal strains to highlight their chemotaxonomic relationships.
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              Cytokinin-deficient transgenic Arabidopsis plants show multiple developmental alterations indicating opposite functions of cytokinins in the regulation of shoot and root meristem activity.

              Cytokinins are hormones that regulate cell division and development. As a result of a lack of specific mutants and biochemical tools, it has not been possible to study the consequences of cytokinin deficiency. Cytokinin-deficient plants are expected to yield information about processes in which cytokinins are limiting and that, therefore, they might regulate. We have engineered transgenic Arabidopsis plants that overexpress individually six different members of the cytokinin oxidase/dehydrogenase (AtCKX) gene family and have undertaken a detailed phenotypic analysis. Transgenic plants had increased cytokinin breakdown (30 to 45% of wild-type cytokinin content) and reduced expression of the cytokinin reporter gene ARR5:GUS (beta-glucuronidase). Cytokinin deficiency resulted in diminished activity of the vegetative and floral shoot apical meristems and leaf primordia, indicating an absolute requirement for the hormone. By contrast, cytokinins are negative regulators of root growth and lateral root formation. We show that the increased growth of the primary root is linked to an enhanced meristematic cell number, suggesting that cytokinins control the exit of cells from the root meristem. Different AtCKX-green fluorescent protein fusion proteins were localized to the vacuoles or the endoplasmic reticulum and possibly to the extracellular space, indicating that subcellular compartmentation plays an important role in cytokinin biology. Analyses of promoter:GUS fusion genes showed differential expression of AtCKX genes during plant development, the activity being confined predominantly to zones of active growth. Our results are consistent with the hypothesis that cytokinins have central, but opposite, regulatory functions in root and shoot meristems and indicate that a fine-tuned control of catabolism plays an important role in ensuring the proper regulation of cytokinin functions.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Cells
                Cells
                cells
                Cells
                MDPI
                2073-4409
                07 February 2021
                February 2021
                : 10
                : 2
                : 346
                Affiliations
                [1 ]International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; s.vinay@ 123456cgiar.org (V.S.); r.k.varshney@ 123456cgiar.org (R.K.V.)
                [2 ]Department of Genetics, Hebrew University of Jerusalem, Jerusalem 91904, Israel; prateekg04@ 123456gmail.com
                [3 ]Department of Life Sciences, Central University of Karnataka, Kadaganchi 585367, India; kagollap98@ 123456gmail.com (P.K.); sharankumarsalagare46362@ 123456gmail.com (S.); hangargibhagya@ 123456gmail.com (B.H.); akashnaara112@ 123456gmail.com (A.V.); sonudevde1999@ 123456gmail.com (D.P.R.); srinivassuryavanshi143@ 123456gmail.com (S.S.); rahulkambar10@ 123456gmail.com (R.N.); grnaik2009@ 123456gmail.com (G.R.N.)
                [4 ]Department of Botany, Indira Gandhi National Tribal University (IGNTU), Amarkantak 484886, India; anirudh.kumar@ 123456igntu.ac.in
                [5 ]Crop Protection and Management Research Unit, United State Department of Agriculture-Agriculture Research Service (USDA-ARS), Tifton, GA 31793, USA; baozhu.guo@ 123456usda.gov
                [6 ]College of Plant Protection, Fujian Agriculture and Forestry University, Fujian 350002, Fuzhou, China; weijianz1@ 123456163.com
                [7 ]State Agricultural Biotechnology Centre, Centre for Crop Research Innovation, Murdoch University, Murdoch, WA 6150, Australia
                Author notes
                Author information
                https://orcid.org/0000-0002-0033-5279
                https://orcid.org/0000-0002-7296-8411
                https://orcid.org/0000-0002-9672-901X
                https://orcid.org/0000-0002-9079-7126
                https://orcid.org/0000-0002-4562-9131
                https://orcid.org/0000-0002-4101-6530
                https://orcid.org/0000-0001-5072-5673
                Article
                cells-10-00346
                10.3390/cells10020346
                7915772
                33562333
                ef66a218-e442-4975-beb0-92b74df3fdea
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 05 December 2020
                : 01 February 2021
                Categories
                Review

                metabolome,omics,engineering traits,mqtls,mgwas,metabolic engineering

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