Genomic adaptations in information processing underpin trophic strategy in a whole-ecosystem nutrient enrichment experiment
Por:
Okie, Jordan G., Poret-Peterson, Amisha T., Lee Z.M.P., Richter, Alexander, Alcaraz, Luis D., Eguiarte, Luis E., Siefert, Janet L., Souza, Valeria, Dupont, Chris L., Elser, James J.
Publicada:
1 ene 2020
Resumen:
Several universal genomic traits affect trade-offs in the capacity, cost, and efficiency of biochemical information processing underpinning metabolism and reproduction. We analyzed their role in mediating planktonic microbial community responses to nutrient enrichment in an oligotrophic, phosphorus-deficient pond in Cuatro Ciénegas, Mexico—one of the first whole-ecosystem experiments involving replicated metagenomic assessment. Mean bacterial genome size, GC content, total number of tRNA genes, total number of rRNA genes, and codon usage bias in ribosomal protein sequences were higher in the fertilized treatment, as predicted assuming oligotrophy favors lower information-processing costs while copiotrophy favors higher processing rates. Contrasting changes in trait variances also suggested differences between traits in mediating assembly under copiotrophic versus oligotrophic conditions. Trade-offs in information-processing traits are apparently sufficiently pronounced to play a role in community assembly as the major components of metabolism—information, energy, and nutrient requirements—are fine-tuned to an organism’s growth and trophic strategy. © 2020, eLife Sciences Publications Ltd. All rights reserved.
Filiaciones:
School of Earth and Space Exploration, Arizona State UniversityAZ, United States
School of Life Sciences, Arizona State UniversityAZ, United States
ARS Crops Pathology and Genetic Research Unit, USDACA, United States
J. Craig Venter InstituteCA, United States
Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico
Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico
Department of Statistics, Rice UniversityTX, United States
University of MontanaMT, United States
Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ 85281 USA
USDA ARS Crops Pathol & Genet Res Unit, Davis, CA USA
Arizona State Univ, Sch Life Sci, Tempe, AZ USA
J Craig Venter Inst, La Jolla, CA USA
Univ Nacl Autonoma Mexico, Fac Ciencias, Dept Biol Celular, Mexico City, DF, Mexico
Univ Nacl Autonoma Mexico, Inst Ecol, Dept Ecol Evolut, Mexico City, DF, Mexico
Rice Univ, Dept Stat, Houston, TX 77251 USA
Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA
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