Is there evidence of optimisation for carbon efficiency in plant proteomes?

Handle URI:
http://hdl.handle.net/10754/561820
Title:
Is there evidence of optimisation for carbon efficiency in plant proteomes?
Authors:
Jankovic, Boris R.; Seoighe, Cathal; Alquraishi, May Majed; Gehring, Christoph A. ( 0000-0003-4355-4591 )
Abstract:
Flowering plants, angiosperms, can be divided into two major clades, monocots and dicots, and while differences in amino acid composition in different species from the two clades have been reported, a systematic analysis of amino acid content and distribution remains outstanding. Here, we show that monocot and dicot proteins have developed distinct amino acid content. In Arabidopsis thaliana and poplar, as in the ancestral moss Physcomitrella patens, the average mass per amino acid appears to be independent of protein length, while in the monocots rice, maize and sorghum, shorter proteins tend to be made of lighter amino acids. An examination of the elemental content of these proteomes reveals that the difference between monocot and dicot proteins can be largely attributed to their different carbon signatures. In monocots, the shorter proteins, which comprise the majority of all proteins, are made of amino acids with less carbon, while the nitrogen content is unchanged in both monocots and dicots. We hypothesise that this signature could be the result of carbon use and energy optimisation in fast-growing annual Poaceae (grasses). © 2011 German Botanical Society and The Royal Botanical Society of the Netherlands.
KAUST Department:
Computational Bioscience Research Center (CBRC); Biological and Environmental Sciences and Engineering (BESE) Division; Bioscience Program; Molecular Signalling Group
Publisher:
Wiley-Blackwell
Journal:
Plant Biology
Issue Date:
25-Jul-2011
DOI:
10.1111/j.1438-8677.2011.00494.x
PubMed ID:
21973021
Type:
Article
ISSN:
14358603
Appears in Collections:
Articles; Bioscience Program; Computational Bioscience Research Center (CBRC); Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorJankovic, Boris R.en
dc.contributor.authorSeoighe, Cathalen
dc.contributor.authorAlquraishi, May Majeden
dc.contributor.authorGehring, Christoph A.en
dc.date.accessioned2015-08-03T09:31:42Zen
dc.date.available2015-08-03T09:31:42Zen
dc.date.issued2011-07-25en
dc.identifier.issn14358603en
dc.identifier.pmid21973021en
dc.identifier.doi10.1111/j.1438-8677.2011.00494.xen
dc.identifier.urihttp://hdl.handle.net/10754/561820en
dc.description.abstractFlowering plants, angiosperms, can be divided into two major clades, monocots and dicots, and while differences in amino acid composition in different species from the two clades have been reported, a systematic analysis of amino acid content and distribution remains outstanding. Here, we show that monocot and dicot proteins have developed distinct amino acid content. In Arabidopsis thaliana and poplar, as in the ancestral moss Physcomitrella patens, the average mass per amino acid appears to be independent of protein length, while in the monocots rice, maize and sorghum, shorter proteins tend to be made of lighter amino acids. An examination of the elemental content of these proteomes reveals that the difference between monocot and dicot proteins can be largely attributed to their different carbon signatures. In monocots, the shorter proteins, which comprise the majority of all proteins, are made of amino acids with less carbon, while the nitrogen content is unchanged in both monocots and dicots. We hypothesise that this signature could be the result of carbon use and energy optimisation in fast-growing annual Poaceae (grasses). © 2011 German Botanical Society and The Royal Botanical Society of the Netherlands.en
dc.publisherWiley-Blackwellen
dc.subjectAmino acid compositionen
dc.subjectCarbon efficiencyen
dc.subjectPlant proteomesen
dc.titleIs there evidence of optimisation for carbon efficiency in plant proteomes?en
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentBioscience Programen
dc.contributor.departmentMolecular Signalling Groupen
dc.identifier.journalPlant Biologyen
dc.contributor.institutionSchool of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Irelanden
kaust.authorGehring, Christoph A.en
kaust.authorJankovic, Boris R.en
kaust.authorAlquraishi, May Majeden

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