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Cross species selection scans identify components of C(4) photosynthesis in the grasses

C(4) photosynthesis is perhaps one of the best examples of convergent adaptive evolution with over 25 independent origins in the grasses (Poaceae) alone. The availability of high quality grass genome sequences presents new opportunities to explore the mechanisms underlying this complex trait using e...

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Autores principales: Huang, Pu, Studer, Anthony J., Schnable, James C., Kellogg, Elizabeth A., Brutnell, Thomas P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429014/
https://www.ncbi.nlm.nih.gov/pubmed/27436281
http://dx.doi.org/10.1093/jxb/erw256
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author Huang, Pu
Studer, Anthony J.
Schnable, James C.
Kellogg, Elizabeth A.
Brutnell, Thomas P.
author_facet Huang, Pu
Studer, Anthony J.
Schnable, James C.
Kellogg, Elizabeth A.
Brutnell, Thomas P.
author_sort Huang, Pu
collection PubMed
description C(4) photosynthesis is perhaps one of the best examples of convergent adaptive evolution with over 25 independent origins in the grasses (Poaceae) alone. The availability of high quality grass genome sequences presents new opportunities to explore the mechanisms underlying this complex trait using evolutionary biology-based approaches. In this study, we performed genome-wide cross-species selection scans in C(4) lineages to facilitate discovery of C(4) genes. The study was enabled by the well conserved collinearity of grass genomes and the recently sequenced genome of a C(3) panicoid grass, Dichanthelium oligosanthes. This method, in contrast to previous studies, does not rely on any a priori knowledge of the genes that contribute to biochemical or anatomical innovations associated with C(4) photosynthesis. We identified a list of 88 candidate genes that include both known and potentially novel components of the C(4) pathway. This set includes the carbon shuttle enzymes pyruvate, phosphate dikinase, phosphoenolpyruvate carboxylase and NADP malic enzyme as well as several predicted transporter proteins that likely play an essential role in promoting the flux of metabolites between the bundle sheath and mesophyll cells. Importantly, this approach demonstrates the application of fundamental molecular evolution principles to dissect the genetic basis of a complex photosynthetic adaptation in plants. Furthermore, we demonstrate how the output of the selection scans can be combined with expression data to provide additional power to prioritize candidate gene lists and suggest novel opportunities for pathway engineering.
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spelling pubmed-54290142017-05-17 Cross species selection scans identify components of C(4) photosynthesis in the grasses Huang, Pu Studer, Anthony J. Schnable, James C. Kellogg, Elizabeth A. Brutnell, Thomas P. J Exp Bot Research Paper C(4) photosynthesis is perhaps one of the best examples of convergent adaptive evolution with over 25 independent origins in the grasses (Poaceae) alone. The availability of high quality grass genome sequences presents new opportunities to explore the mechanisms underlying this complex trait using evolutionary biology-based approaches. In this study, we performed genome-wide cross-species selection scans in C(4) lineages to facilitate discovery of C(4) genes. The study was enabled by the well conserved collinearity of grass genomes and the recently sequenced genome of a C(3) panicoid grass, Dichanthelium oligosanthes. This method, in contrast to previous studies, does not rely on any a priori knowledge of the genes that contribute to biochemical or anatomical innovations associated with C(4) photosynthesis. We identified a list of 88 candidate genes that include both known and potentially novel components of the C(4) pathway. This set includes the carbon shuttle enzymes pyruvate, phosphate dikinase, phosphoenolpyruvate carboxylase and NADP malic enzyme as well as several predicted transporter proteins that likely play an essential role in promoting the flux of metabolites between the bundle sheath and mesophyll cells. Importantly, this approach demonstrates the application of fundamental molecular evolution principles to dissect the genetic basis of a complex photosynthetic adaptation in plants. Furthermore, we demonstrate how the output of the selection scans can be combined with expression data to provide additional power to prioritize candidate gene lists and suggest novel opportunities for pathway engineering. Oxford University Press 2017-01-21 2016-07-19 /pmc/articles/PMC5429014/ /pubmed/27436281 http://dx.doi.org/10.1093/jxb/erw256 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Huang, Pu
Studer, Anthony J.
Schnable, James C.
Kellogg, Elizabeth A.
Brutnell, Thomas P.
Cross species selection scans identify components of C(4) photosynthesis in the grasses
title Cross species selection scans identify components of C(4) photosynthesis in the grasses
title_full Cross species selection scans identify components of C(4) photosynthesis in the grasses
title_fullStr Cross species selection scans identify components of C(4) photosynthesis in the grasses
title_full_unstemmed Cross species selection scans identify components of C(4) photosynthesis in the grasses
title_short Cross species selection scans identify components of C(4) photosynthesis in the grasses
title_sort cross species selection scans identify components of c(4) photosynthesis in the grasses
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429014/
https://www.ncbi.nlm.nih.gov/pubmed/27436281
http://dx.doi.org/10.1093/jxb/erw256
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