Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/110218
Title: Relating mutant genotype to phenotype via quantitative behavior of the NADPH redox cycle in human erythrocytes
Authors: Coelho, Pedro M. B. M. 
Salvador, Armindo 
Savageau, Michael A. 
Issue Date: 28-Sep-2010
Publisher: Public Library of Science
Project: SFRH/BD/8304/2002 
PTDC/QUI/70523/2006 
(RO1-GM30054) from the US Public Health Service (http://www.nigms.nih.gov) 
Stanislaw Ulam Distinguished Scholar Award from the Center for Non-Linear Studies of the Los Alamos National Laboratory (http://cnls.lanl.gov) 
Serial title, monograph or event: PLoS ONE
Volume: 5
Issue: 9
Abstract: Background: The NADPH redox cycle plays a key role in antioxidant protection of human erythrocytes. It consists of two enzymes: glucose-6-phosphate dehydrogenase (G6PD) and glutathione reductase. Over 160 G6PD variants have been characterized and associated with several distinct clinical manifestations. However, the mechanistic link between the genotype and the phenotype remains poorly understood. Methodology/Principal Findings: We address this issue through a novel framework (design space) that integrates information at the genetic, biochemical and clinical levels. Our analysis predicts three qualitatively-distinct phenotypic regions that can be ranked according to fitness. When G6PD variants are analyzed in design space, a correlation is revealed between the phenotypic region and the clinical manifestation: the best region with normal physiology, the second best region with a pathology, and the worst region with a potential lethality. We also show that Plasmodium falciparum, by induction of its own G6PD gene in G6PD-deficient erythrocytes, moves the operation of the cycle to a region of the design space that yields robust performance. Conclusions/Significance: In conclusion, the design space for the NADPH redox cycle, which includes relationships among genotype, phenotype and environment, illuminates the function, design and fitness of the cycle, and its phenotypic regions correlate with the organism’s clinical status.
URI: https://hdl.handle.net/10316/110218
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0013031
Rights: openAccess
Appears in Collections:FCTUC Química - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais

Show full item record

Page view(s)

37
checked on Apr 17, 2024

Download(s)

7
checked on Apr 17, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons