| Literature DB >> 26734044 |
Prateek Tripathi1, Roel C Rabara1, Vladimir Shulaev2, Qingxi J Shen3, Paul J Rushton4.
Abstract
The deleterious changes in environmental conditions such as water stress bring physiological and biochemical changes in plants, which results in crop loss. Thus, combating water stress is important for crop improvement to manage the needs of growing population. Utilization of hydroponics system in growing plants is questionable to some researchers, as it does not represent an actual field condition. However, trying to address a complex problem like water stress we have to utilize a simpler growing condition like the hydroponics system wherein every input given to the plants can be controlled. With the advent of high-throughput technologies, it is still challenging to address all levels of the genetic machinery whether a gene, protein, metabolite, and promoter. Thus, using a system of reduced complexity like hydroponics can certainly direct us toward the right candidates, if not completely help us to resolve the issue.Entities:
Keywords: ROS signaling; drought; energy metabolism; hydroponics; soybean; systems biology; water-stress; water-stress physiology
Year: 2015 PMID: 26734044 PMCID: PMC4685135 DOI: 10.3389/fpls.2015.01145
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Figure 1(A) Shotgun Proteomics analyses of soybean roots during water deficit. Functional classifications of differentially regulated proteins in soybean samples during water deficit identified by MuDPIT w.r.t 0 min as control. Proteins were functionally classified using Mapman, which is based on the Gene Ontology Consortium and Kyoto Encyclopedia of Genes and Genomes database. Post-translational modification (PTM). The differential regulation was determined with FDR ≤ 5%. (B) Systems–wide overview of amino acid elevation during water stress. Metabolomics data at 5h dehydration from root sample is represented in red fonts and from leaves in red boxes. (C) Ammonia metabolism during water stress. Aspargine and Allantoin are the main metabolites for nitrogen storage and transport. Allantoic acid was highly abundant in roots only. The data points in (B,C) were analyzed for their statistical significance using Welch's two sample t-test with 0 min as control and p = 0.05. The green box represents leaf profile while the brown box is root profile in both figure sections. (D) Coumestrol content in roots of soybean plants subjected to varying level of water stress. The error bars represent standard error of the mean (SEM) (n = 3) and significance was analyzed with t-test, p ≤ 0.05 w.r.t to 0 min as control.