Search results for "Coevolution"

showing 5 items of 85 documents

Aquaculture as a source of empirical evidence for coevolution between CRISPR-Cas and phage

2019

So far, studies on the bacterial immune system CRISPR-Cas and its ecological and evolutionary effects have been largely limited to laboratory conditions. While providing crucial information on the constituents of CRISPR-Cas, such studies may overlook fundamental components that affect bacterial immunity in natural habitats. Translating laboratory-derived predictions to nature is not a trivial task, owing partly to the instability of natural communities and difficulties in repeated sampling. To this end, we review how aquaculture, the farming of fishes and other aquatic species, may provide suitable semi-natural laboratories for examining the role of CRISPR-Cas in phage/bacterium coevolution…

mikrobiekologiaviruksetCRISPRcoevolutionphageevoluutioimmuniteettiDNAvesiviljely (kalatalous)bakteriofagitekologiabakteerit
researchProduct

Mechanisms of refinement of avian nest defence behaviour

2003

nest defence brood parasitism yellow warbler brown-headed cowbird coevolutionary process
researchProduct

Individual learning in the refinement of nest defence responses of the Yellow Warbler (Dendroica petechia)

2006

nest defence brood parasitism yellow warbler brown-headed cowbird coevolutionary processe
researchProduct

A Cooperative Coevolution Framework for Parallel Learning to Rank

2015

We propose CCRank, the first parallel framework for learning to rank based on evolutionary algorithms (EA), aiming to significantly improve learning efficiency while maintaining accuracy. CCRank is based on cooperative coevolution (CC), a divide-and-conquer framework that has demonstrated high promise in function optimization for problems with large search space and complex structures. Moreover, CC naturally allows parallelization of sub-solutions to the decomposed sub-problems, which can substantially boost learning efficiency. With CCRank, we investigate parallel CC in the context of learning to rank. We implement CCRank with three EA-based learning to rank algorithms for demonstration. E…

ta113Cooperative coevolutionTheoretical computer scienceLearning to RankComputer sciencebusiness.industryRank (computer programming)Genetic ProgrammingEvolutionary algorithmContext (language use)Genetic programmingImmune ProgrammingMachine learningcomputer.software_genreEvolutionary computationComputer Science ApplicationsComputational Theory and MathematicsCooperative CoevolutionInformation RetrievalBenchmark (computing)Learning to rankArtificial intelligencebusinesscomputerInformation SystemsIEEE Transactions on Knowledge and Data Engineering
researchProduct

Black Queen Evolution and Trophic Interactions Determine Plasmid Survival after the Disruption of the Conjugation Network

2018

Bacterial antibiotic resistance is often a part of mobile genetic elements that move from one bacterium to another. By interfering with the horizontal movement and the maintenance of these elements, it is possible to remove the resistance from the population. Here, we show that a so-called plasmid-dependent bacteriophage causes the initially resistant bacterial population to become susceptible to antibiotics. However, this effect is efficiently countered when the system also contains a predator that feeds on bacteria. Moreover, when the environment contains antibiotics, the survival of resistance is dependent on the resistance mechanism. When bacteria can help their contemporaries to degrad…

trophic levelsantibiotic resistanceevoluutiospreadEcological and Evolutionary Sciencedependent phagesEditor's PickMicrobiologyQR1-502saalistusbakteeritstrainsplasmiditprotozoacoevolutionpredationhorisontaalinen geeninsiirtobacteria1183 Plant biology microbiology virologyBlack Queen evolutionResearch Articleantibioottiresistenssiconjugation
researchProduct