Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance

Antibiotics resistance is a serious biomedical issue as formally susceptible organisms gain resistance under its selective pressure. There have been contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics. Here, we use experimental evo...

Full description

Bibliographic Details
Main Authors: Clarence F. G. Castillo, Maurice H. T. Ling
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2014/648389
id doaj-0d81db4637d449cfa7fa8a56a8696480
record_format Article
spelling doaj-0d81db4637d449cfa7fa8a56a86964802020-11-24T23:12:56ZengHindawi LimitedBioMed Research International2314-61332314-61412014-01-01201410.1155/2014/648389648389Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics ResistanceClarence F. G. Castillo0Maurice H. T. Ling1School of Information Technology, Republic Polytechnic, 738964, SingaporeSchool of Chemical and Biomedical Engineering, Nanyang Technological University, 637459, SingaporeAntibiotics resistance is a serious biomedical issue as formally susceptible organisms gain resistance under its selective pressure. There have been contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics. Here, we use experimental evolution in “digital organisms” to examine the rate of gain and loss of resistance under the assumption that there is no fitness cost for maintaining resistance. Our results show that selective pressure is likely to result in maximum resistance with respect to the selective pressure. During deselection as a result of disuse of the specific antibiotics, a large initial loss and prolonged stabilization of resistance are observed, but resistance is not lost to the stage of preselection. This suggests that a pool of partial persists organisms persist long after withdrawal of selective pressure at a relatively constant proportion. Hence, contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics may be a statistical variation about constant proportion. Our results also show that subsequent reintroduction of the same selective pressure results in rapid regain of maximal resistance. Thus, our simulation results suggest that complete elimination of specific antibiotics resistance is unlikely after the disuse of antibiotics once a resistant pool of microorganisms has been established.http://dx.doi.org/10.1155/2014/648389
collection DOAJ
language English
format Article
sources DOAJ
author Clarence F. G. Castillo
Maurice H. T. Ling
spellingShingle Clarence F. G. Castillo
Maurice H. T. Ling
Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance
BioMed Research International
author_facet Clarence F. G. Castillo
Maurice H. T. Ling
author_sort Clarence F. G. Castillo
title Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance
title_short Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance
title_full Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance
title_fullStr Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance
title_full_unstemmed Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance
title_sort resistant traits in digital organisms do not revert preselection status despite extended deselection: implications to microbial antibiotics resistance
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2014-01-01
description Antibiotics resistance is a serious biomedical issue as formally susceptible organisms gain resistance under its selective pressure. There have been contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics. Here, we use experimental evolution in “digital organisms” to examine the rate of gain and loss of resistance under the assumption that there is no fitness cost for maintaining resistance. Our results show that selective pressure is likely to result in maximum resistance with respect to the selective pressure. During deselection as a result of disuse of the specific antibiotics, a large initial loss and prolonged stabilization of resistance are observed, but resistance is not lost to the stage of preselection. This suggests that a pool of partial persists organisms persist long after withdrawal of selective pressure at a relatively constant proportion. Hence, contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics may be a statistical variation about constant proportion. Our results also show that subsequent reintroduction of the same selective pressure results in rapid regain of maximal resistance. Thus, our simulation results suggest that complete elimination of specific antibiotics resistance is unlikely after the disuse of antibiotics once a resistant pool of microorganisms has been established.
url http://dx.doi.org/10.1155/2014/648389
work_keys_str_mv AT clarencefgcastillo resistanttraitsindigitalorganismsdonotrevertpreselectionstatusdespiteextendeddeselectionimplicationstomicrobialantibioticsresistance
AT mauricehtling resistanttraitsindigitalorganismsdonotrevertpreselectionstatusdespiteextendeddeselectionimplicationstomicrobialantibioticsresistance
_version_ 1725600068432560128