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The need for agriculture phenotyping: "Moving from genotype to phenotype"  

2013-04-19 18:36:34|  分类: 数量遗传学 |  标签: |举报 |字号 订阅

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Increase in the world population has called for the increased demand for agricultural productivity. Traditional methods to augment crop and animal production are facing exacerbating pressures in keeping up with population growth. This challenge has in turn led to the transformational change in the use of biotechnology tools to meet increased productivity for both plant and animal systems. Although many challenges exist, the use of proteomic techniques to understand agricultural problems is steadily increasing. This review discusses the impact of genomics, proteomics, metabolomics and phenotypes on plant, animal and bacterial systems to achieve global food security and safety and we highlight examples of intra and extra mural research work that is currently being done to increase agricultural productivity. BIOLOGICAL SIGNIFICANCE: This review focuses on the global demand for increased agricultural productivity arising from population growth and how we can address this challenge using biotechnology. With a population well above seven billion humans, in a very unbalanced nutritional state (20% overweight, 20% risking starvation) drastic measures have to be taken at the political, infrastructure and scientific levels. While we cannot influence politics, it is our duty as scientists to see what can be done to feed humanity. Hence we highlight the transformational change in the use of biotechnology tools over traditional methods to increase agricultural productivity (plant and animal). Specifically, this review deals at length on how a three-pronged attack, namely combined genomics, proteomics and metabolomics, can help to ensure global food security and safety. This article is part of a Special Issue entitled: Translational Plant Proteomics.

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 Schematic diagram showing the most common workflows for quantitative proteomic characterization of plant tissues.Labeling of two plant samples with either Isobaric tag for relative and absolute quantitation iTRAQ (or Isotope-Coded Affinity Tags (ICAT)), Difference Gel Electrophoresis DIGE or 14N, 15N all allow the determination of differences between two samples to be detected by LC–MS/MS.
J Proteomics. 2013 Apr 2. pii: S1874-3919(13)00168-1. doi: 10.1016/j.jprot.2013.03.021. [Epub ahead of print]

Source

Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA.

Copyright ? 2013 Elsevier B.V. All rights reserved.

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