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María Teresa Camacho Olmedo

Bio: María Teresa Camacho Olmedo is an academic researcher from University of Seville. The author has contributed to research in topics: Land cover & Caenorhabditis elegans. The author has an hindex of 21, co-authored 66 publications receiving 2237 citations. Previous affiliations of María Teresa Camacho Olmedo include University of Granada & University of Groningen.


Papers
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Journal ArticleDOI
24 May 2012-Nature
TL;DR: It is shown that oxidation–reduction cycles of peroxiredoxin proteins constitute a universal marker for circadian rhythms in all domains of life, by characterizing their oscillations in a variety of model organisms and exploring the interconnectivity between these metabolic cycles and transcription–translation feedback loops of the clockwork in each system.
Abstract: Cellular life emerged ∼3.7 billion years ago. With scant exception, terrestrial organisms have evolved under predictable daily cycles owing to the Earth’s rotation. The advantage conferred on organisms that anticipate such environmental cycles has driven the evolution of endogenous circadian rhythms that tune internal physiology to external conditions. The molecular phylogeny of mechanisms driving these rhythms has been difficult to dissect because identified clock genes and proteins are not conserved across the domains of life: Bacteria, Archaea and Eukaryota. Here we show that oxidation–reduction cycles of peroxiredoxin proteins constitute a universal marker for circadian rhythms in all domains of life, by characterizing their oscillations in a variety of model organisms. Furthermore, we explore the interconnectivity between these metabolic cycles and transcription–translation feedback loops of the clockwork in each system. Our results suggest an intimate co-evolution of cellular timekeeping with redox homeostatic mechanisms after the Great Oxidation Event ∼2.5 billion years ago. Daily oxidation–reduction cycles of peroxiredoxin proteins are shown to be conserved in all domains of life, including Bacteria, Archaea and Eukaryota. Most living organisms possess an endogenous circadian clock that ties their metabolism to a 24-hour day–night cycle. 'Clock genes' have been studied in many organisms and their variety has encouraged the view that each clock evolved independently. But there is a unifying factor: a non-transcriptionally based form of circadian oscillation, involving the oxidation–reduction cycles of peroxiredoxin proteins, has been identified in human red blood cells and algae. This study demonstrates that these redox cycles are conserved in all domains of life, including Bacteria, Archaea and Eukaryota, pointing to the possibility that this type of cellular timekeeping has co-evolved with redox homeostatic mechanisms across organisms for billions of years. The link may go back 2.5 billion years, to the Great Oxidation Event that consigned anaerobic metabolism to the margins of evolutionary history.

765 citations

Journal ArticleDOI
TL;DR: The possibilities and limits of four LUCC modelling softwares are reviewed, revised the tools available to carry out model calibration, simulation, and validation, and some basic criteria to define a "good" model are discussed.
Abstract: Land use/cover change (LUCC), as an important factor in global change, is a topic that has recently received considerable attention in the prospective modeling domain. There are many approaches and software packages for modeling LUCC, many of them are empirical approaches based on past LUCC such as CLUE-S, DINAMICA EGO, CA_MARKOV and Land Change Modeler (both available in IDRISI). This study reviews the possibilities and the limits of these four modeling software packages. First, a revision of the methods and tools available for each model was performed, taking into account how the models carry out the different procedures involved in the modeling process: quantity of change estimate, change potential evaluation, spatial allocation of change, reproduction of temporal and spatial patterns, model evaluation and advanced modeling options. Additional considerations, such as flexibility and user friendliness were also taken into account. Then, the four models were applied to a virtual case study to illustrate the previous descriptions with a typical LUCC scenario that consists of four processes of change (conversion of forest to two different types of crops, crop abandonment and urban sprawl) that follow different spatial patterns and are conditioned by different drivers. The outputs were compared to assess the quantity of change estimates, the change potential and the simulated prospective maps. Finally, we discussed some basic criteria to define a "good" model. We reviewed the possibilities and limits of four LUCC modelling softwares.We revised the tools available to carry out model calibration, simulation, and validation.We applied the four models to a virtual case study presenting four types of transitions.

250 citations

Journal ArticleDOI
Michael E. Hughes1, Katherine C. Abruzzi2, Ravi Allada3, Ron C. Anafi4, Alaaddin Bulak Arpat5, Alaaddin Bulak Arpat6, Gad Asher7, Pierre Baldi8, Charissa de Bekker9, Deborah Bell-Pedersen10, Justin Blau11, Steve Brown12, M. Fernanda Ceriani13, Zheng Chen14, Joanna C. Chiu15, Juergen Cox16, Alexander M. Crowell17, Jason P. DeBruyne18, Derk-Jan Dijk19, Luciano DiTacchio20, Francis J. Doyle21, Giles E. Duffield22, Jay C. Dunlap17, Kristin Eckel-Mahan14, Karyn A. Esser23, Garret A. FitzGerald4, Daniel B. Forger24, Lauren J. Francey25, Ying-Hui Fu26, Frédéric Gachon27, David Gatfield6, Paul de Goede28, Susan S. Golden29, Carla B. Green30, John Harer31, Stacey L. Harmer15, Jeff Haspel1, Michael H. Hastings32, Hanspeter Herzel33, Erik D. Herzog1, Christy Hoffmann1, Christian I. Hong25, Jacob J. Hughey34, Jennifer M. Hurley35, Horacio O. de la Iglesia36, Carl Hirschie Johnson34, Steve A. Kay29, Nobuya Koike37, Karl Kornacker38, Achim Kramer33, Katja A. Lamia39, Tanya L. Leise40, Scott A. Lewis1, Jiajia Li1, Jiajia Li41, Xiaodong Li42, Andrew C. Liu43, Jennifer J. Loros17, Tami A. Martino44, Jerome S. Menet10, Martha Merrow45, Andrew J. Millar46, Todd C. Mockler47, Felix Naef48, Emi Nagoshi49, Michael N. Nitabach50, María Teresa Camacho Olmedo51, Dmitri A. Nusinow47, Louis J. Ptáček26, David A. Rand52, Akhilesh B. Reddy53, Akhilesh B. Reddy54, Maria S. Robles45, Till Roenneberg45, Michael Rosbash2, Marc D. Ruben25, Samuel S. C. Rund46, Aziz Sancar55, Paolo Sassone-Corsi8, Amita Sehgal4, Scott Sherrill-Mix4, Debra J. Skene19, Kai-Florian Storch56, Joseph S. Takahashi30, Hiroki R. Ueda, Han Wang57, Charles J. Weitz21, Pål O. Westermark58, Herman Wijnen59, Ying Xu57, Gang Wu25, Seung Hee Yoo14, Michael W. Young60, Eric E. Zhang, Tomasz Zielinski46, John B. Hogenesch25 
Washington University in St. Louis1, Brandeis University2, Northwestern University3, University of Pennsylvania4, Swiss Institute of Bioinformatics5, University of Lausanne6, Weizmann Institute of Science7, University of California, Irvine8, University of Central Florida9, Texas A&M University10, New York University11, University of Zurich12, Fundación Instituto Leloir13, University of Texas Health Science Center at Houston14, University of California, Davis15, Max Planck Society16, Dartmouth College17, Morehouse School of Medicine18, University of Surrey19, University of Kansas20, Harvard University21, University of Notre Dame22, University of Florida23, University of Michigan24, Cincinnati Children's Hospital Medical Center25, University of California, San Francisco26, Nestlé27, University of Amsterdam28, University of California, San Diego29, University of Texas Southwestern Medical Center30, Duke University31, Medical Research Council32, Charité33, Vanderbilt University34, Rensselaer Polytechnic Institute35, University of Washington36, Kyoto Prefectural University of Medicine37, Ohio State University38, Scripps Research Institute39, Amherst College40, University of Missouri41, Wuhan University42, University of Memphis43, University of Guelph44, Ludwig Maximilian University of Munich45, University of Edinburgh46, Donald Danforth Plant Science Center47, École Polytechnique Fédérale de Lausanne48, University of Geneva49, Yale University50, University of Seville51, University of Warwick52, University College London53, Francis Crick Institute54, University of North Carolina at Chapel Hill55, McGill University56, Soochow University (Suzhou)57, Leibniz Association58, University of Southampton59, Rockefeller University60
TL;DR: CircaInSilico is introduced, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms, and several unmet analytical needs, including applications to clinical medicine, are discussed and productive avenues to address them are suggested.
Abstract: Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding "big data" that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them.

186 citations

Journal ArticleDOI
Luis M. Corrochano1, Alan Kuo2, Marina Marcet-Houben3, Silvia Polaino4, Asaf Salamov2, José Manuel Villalobos-Escobedo, Jane Grimwood2, M. Isabel Isabel Álvarez5, Javier Avalos1, Diane Bauer2, Ernesto P. Benito5, Isabelle Benoit6, Gertraud Burger7, Lola P. Camino1, David Cánovas1, Enrique Cerdá-Olmedo1, Jan Fang Cheng2, Angel Domínguez5, Marek Eliáš8, Arturo P. Eslava5, Fabian Glaser9, Gabriel Gutiérrez1, Joseph Heitman10, Bernard Henrissat11, Bernard Henrissat12, Enrique A. Iturriaga5, B. Franz Franz Lang7, José Luis Lavín, Soo Chan Lee10, Wenjun Li10, Erika Lindquist2, Sergio López-García13, Eva M. Luque1, Ana T. Marcos1, Joel Martin2, Kevin McCluskey14, Humberto R. Medina1, Alejandro Miralles-Durán1, Atsushi Miyazaki15, Elisa Muñoz-Torres5, José A. Oguiza16, Robin A. Ohm2, María Teresa Camacho Olmedo1, Margarita Orejas17, Lucila Ortiz-Castellanos18, Antonio G. Pisabarro16, Julio Rodríguez-Romero1, José Ruiz-Herrera18, Rosa M. Ruiz-Vázquez13, Catalina Sanz5, Wendy Schackwitz2, Mahdi Shahriari5, Ekaterina Shelest19, Fatima Silva-Franco13, Darren M. Soanes20, Khajamohiddin Syed21, Víctor G. Tagua1, Nicholas J. Talbot20, Michael R. Thon5, Hope Tice2, Ronald P. de Vries6, Ad Wiebenga6, Jagjit S. Yadav21, Edward L. Braun22, Scott E. Baker23, Victoriano Garre13, Jeremy Schmutz2, Benjamin A. Horwitz9, Santiago Torres-Martínez13, Alexander Idnurm24, Alexander Idnurm4, Alfredo Herrera-Estrella, Toni Gabaldón3, Toni Gabaldón25, Igor V. Grigoriev2 
TL;DR: The genome duplication provided the means to improve signal transduction for enhanced perception of environmental signals and will help to understand the role of genome dynamics in the evolution of sensory perception in eukaryotes.

148 citations

Journal ArticleDOI
01 Aug 2011-Genetics
TL;DR: It is proposed that the activation of regulatory genes by light is the key event in theactivation of asexual development by light in A. nidulans.
Abstract: Light regulates several aspects of the biology of many organisms, including the balance between asexual and sexual development in some fungi. To understand how light regulates fungal development at the molecular level we have used Aspergillus nidulans as a model. We have performed a genome-wide expression analysis that has allowed us to identify >400 genes upregulated and >100 genes downregulated by light in developmentally competent mycelium. Among the upregulated genes were genes required for the regulation of asexual development, one of the major biological responses to light in A. nidulans, which is a pathway controlled by the master regulatory gene brlA. The expression of brlA, like conidiation, is induced by light. A detailed analysis of brlA light regulation revealed increased expression after short exposures with a maximum after 60 min of light followed by photoadaptation with longer light exposures. In addition to brlA, genes flbA–C and fluG are also light regulated, and flbA–C are required for the correct light-dependent regulation of the upstream regulator fluG. We have found that light induction of brlA required the photoreceptor complex composed of a phytochrome FphA, and the white-collar homologs LreA and LreB, and the fluffy genes flbA–C. We propose that the activation of regulatory genes by light is the key event in the activation of asexual development by light in A. nidulans.

123 citations


Cited by
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Journal ArticleDOI
TL;DR: The sources of ROS within cells and what is known regarding how intracellular oxidant levels are regulated are discussed, with the recent observations that reduction–oxidation (redox)-dependent regulation has a crucial role in an ever-widening range of biological activities.
Abstract: Reactive oxygen species (ROS), which were originally characterized in terms of their harmful effects on cells and invading microorganisms, are increasingly implicated in various cell fate decisions and signal transduction pathways. The mechanism involved in ROS-dependent signalling involves the reversible oxidation and reduction of specific amino acids, with crucial reactive Cys residues being the most frequent target. In this Review, we discuss the sources of ROS within cells and what is known regarding how intracellular oxidant levels are regulated. We further discuss the recent observations that reduction-oxidation (redox)-dependent regulation has a crucial role in an ever-widening range of biological activities - from immune function to stem cell self-renewal, and from tumorigenesis to ageing.

1,515 citations

Journal ArticleDOI
TL;DR: The present overview focuses on recent progress on metabolic sources and sinks of H 2O2 and on the role of H2O2 in redox signaling under physiological conditions, denoted as oxidative eustress.
Abstract: Hydrogen peroxide emerged as major redox metabolite operative in redox sensing, signaling and redox regulation. Generation, transport and capture of H2O2 in biological settings as well as their biological consequences can now be addressed. The present overview focuses on recent progress on metabolic sources and sinks of H2O2 and on the role of H2O2 in redox signaling under physiological conditions (1–10 nM), denoted as oxidative eustress. Higher concentrations lead to adaptive stress responses via master switches such as Nrf2/Keap1 or NF-κB. Supraphysiological concentrations of H2O2 (>100 nM) lead to damage of biomolecules, denoted as oxidative distress. Three questions are addressed: How can H2O2 be assayed in the biological setting? What are the metabolic sources and sinks of H2O2? What is the role of H2O2 in redox signaling and oxidative stress?

1,242 citations

Journal ArticleDOI
TL;DR: Technological advances make it possible to apply molecular methods to develop a stable classification and to discover and identify fungal taxa, revealing a monophyletic kingdom and increased diversity among early-diverging lineages.
Abstract: Premise of the study Fungi are major decomposers in certain ecosystems and essential associates of many organisms. They provide enzymes and drugs and serve as experimental organisms. In 1991, a landmark paper estimated that there are 1.5 million fungi on the Earth. Because only 70000 fungi had been described at that time, the estimate has been the impetus to search for previously unknown fungi. Fungal habitats include soil, water, and organisms that may harbor large numbers of understudied fungi, estimated to outnumber plants by at least 6 to 1. More recent estimates based on high-throughput sequencing methods suggest that as many as 5.1 million fungal species exist. Methods Technological advances make it possible to apply molecular methods to develop a stable classification and to discover and identify fungal taxa. Key results Molecular methods have dramatically increased our knowledge of Fungi in less than 20 years, revealing a monophyletic kingdom and increased diversity among early-diverging lineages. Mycologists are making significant advances in species discovery, but many fungi remain to be discovered. Conclusions Fungi are essential to the survival of many groups of organisms with which they form associations. They also attract attention as predators of invertebrate animals, pathogens of potatoes and rice and humans and bats, killers of frogs and crayfish, producers of secondary metabolites to lower cholesterol, and subjects of prize-winning research. Molecular tools in use and under development can be used to discover the world's unknown fungi in less than 1000 years predicted at current new species acquisition rates.

1,094 citations

Journal ArticleDOI
TL;DR: How, once polyploidy has been established, the unique retention profile of duplicated genes following whole-genome duplication might explain key longer-term evolutionary transitions and a general increase in biological complexity is discussed.
Abstract: Polyploidy, or the duplication of entire genomes, has been observed in prokaryotic and eukaryotic organisms, and in somatic and germ cells. The consequences of polyploidization are complex and variable, and they differ greatly between systems (clonal or non-clonal) and species, but the process has often been considered to be an evolutionary 'dead end'. Here, we review the accumulating evidence that correlates polyploidization with environmental change or stress, and that has led to an increased recognition of its short-term adaptive potential. In addition, we discuss how, once polyploidy has been established, the unique retention profile of duplicated genes following whole-genome duplication might explain key longer-term evolutionary transitions and a general increase in biological complexity.

1,031 citations

Journal ArticleDOI
TL;DR: Sleep appears to have not only a short‐term, use‐dependent function; it also serves to enforce rest and fasting, thereby supporting the optimization of metabolic processes at the appropriate phase of the 24‐h cycle.
Abstract: In the last three decades the two-process model of sleep regulation has served as a major conceptual framework in sleep research. It has been applied widely in studies on fatigue and performance and to dissect individual differences in sleep regulation. The model posits that a homeostatic process (Process S) interacts with a process controlled by the circadian pacemaker (Process C), with time-courses derived from physiological and behavioural variables. The model simulates successfully the timing and intensity of sleep in diverse experimental protocols. Electrophysiological recordings from the suprachiasmatic nuclei (SCN) suggest that S and C interact continuously. Oscillators outside the SCN that are linked to energy metabolism are evident in SCN-lesioned arrhythmic animals subjected to restricted feeding or methamphetamine administration, as well as in human subjects during internal desynchronization. In intact animals these peripheral oscillators may dissociate from the central pacemaker rhythm. A sleep/fast and wake/feed phase segregate antagonistic anabolic and catabolic metabolic processes in peripheral tissues. A deficiency of Process S was proposed to account for both depressive sleep disturbances and the antidepressant effect of sleep deprivation. The model supported the development of novel non-pharmacological treatment paradigms in psychiatry, based on manipulating circadian phase, sleep and light exposure. In conclusion, the model remains conceptually useful for promoting the integration of sleep and circadian rhythm research. Sleep appears to have not only a short-term, use-dependent function; it also serves to enforce rest and fasting, thereby supporting the optimization of metabolic processes at the appropriate phase of the 24-h cycle.

986 citations