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Construction of LC-MS maps of root exudates in cotton (Gossypium hirsutum L.) seedlings
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Root exudates composition and pattern of biochemical expression is
genotype specific and highly influenced by both by abiotic and biotic
factors. During this investigation, various attempts made to standardize the
techniques to construct LC-MS maps using cotton as a plant system.
Construction of root exudates maps by LC-MS analysis found as very unique
and having high utility in genotype identification through genotypic maps,
detecting the presence/absence of specific chemicals of interest, and for
rhizosphere engineering. As expected each sample (root exudates of a
particular genotype) produced very distinct peaks-spectra. Each peak in the
peak-spectral map (Y-axis) provides very useful information, the peak
intensity (peak height), which represents the percent of each
chemical/analyte present in the sample. The total number of peaks in each
spectrum indicates the number of biochemicals present in that sample. The
root exudates samples were probed in both positive and negative LC-MS
mode, since some acidic compounds could not be detected in positive
mode. The peaks displayed in the negative mode spectra maps indicates
most of them are belong to the compounds in acidic groups. This distinction
also provides additional chemical diversity and chemical specificity to
include in the genotypic maps. By this way, the diversity present in all these
parameters for each cotton genotype was included and the information
presented was used to establish a very high-resolution maps. These peak
spectral maps directly depend on the biochemicals produced by a specific
genotype and genetically controlled; therefore, they can be called as
genotypic maps or root exudates maps.
Keywords: Root Exudates, Silica sand, Liquid Chromatography mass
spectroscopy (LC-MS)
Title: Construction of LC-MS maps of root exudates in cotton (Gossypium hirsutum L.)
seedlings
Description:
Root exudates composition and pattern of biochemical expression is
genotype specific and highly influenced by both by abiotic and biotic
factors.
During this investigation, various attempts made to standardize the
techniques to construct LC-MS maps using cotton as a plant system.
Construction of root exudates maps by LC-MS analysis found as very unique
and having high utility in genotype identification through genotypic maps,
detecting the presence/absence of specific chemicals of interest, and for
rhizosphere engineering.
As expected each sample (root exudates of a
particular genotype) produced very distinct peaks-spectra.
Each peak in the
peak-spectral map (Y-axis) provides very useful information, the peak
intensity (peak height), which represents the percent of each
chemical/analyte present in the sample.
The total number of peaks in each
spectrum indicates the number of biochemicals present in that sample.
The
root exudates samples were probed in both positive and negative LC-MS
mode, since some acidic compounds could not be detected in positive
mode.
The peaks displayed in the negative mode spectra maps indicates
most of them are belong to the compounds in acidic groups.
This distinction
also provides additional chemical diversity and chemical specificity to
include in the genotypic maps.
By this way, the diversity present in all these
parameters for each cotton genotype was included and the information
presented was used to establish a very high-resolution maps.
These peak
spectral maps directly depend on the biochemicals produced by a specific
genotype and genetically controlled; therefore, they can be called as
genotypic maps or root exudates maps.
Keywords: Root Exudates, Silica sand, Liquid Chromatography mass
spectroscopy (LC-MS).
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