Selective barriers to horizontal gene transfer
Acar H. 2016. Selective barriers to horizontal gene transfer. Institute of Science and Technology Austria.
Download
Thesis
| PhD
| Published
| English
Author
Supervisor
Corresponding author has ISTA affiliation
Department
Series Title
ISTA Thesis
Abstract
Horizontal gene transfer (HGT), the lateral acquisition of genes across existing species
boundaries, is a major evolutionary force shaping microbial genomes that facilitates
adaptation to new environments as well as resistance to antimicrobial drugs. As such,
understanding the mechanisms and constraints that determine the outcomes of HGT
events is crucial to understand the dynamics of HGT and to design better strategies to
overcome the challenges that originate from it.
Following the insertion and expression of a newly transferred gene, the success of an
HGT event will depend on the fitness effect it has on the recipient (host) cell. Therefore,
predicting the impact of HGT on the genetic composition of a population critically
depends on the distribution of fitness effects (DFE) of horizontally transferred genes.
However, to date, we have little knowledge of the DFE of newly transferred genes, and
hence little is known about the shape and scale of this distribution.
It is particularly important to better understand the selective barriers that determine
the fitness effects of newly transferred genes. In spite of substantial bioinformatics
efforts to identify horizontally transferred genes and selective barriers, a systematic
experimental approach to elucidate the roles of different selective barriers in defining
the fate of a transfer event has largely been absent. Similarly, although the fact that
environment might alter the fitness effect of a horizontally transferred gene may seem
obvious, little attention has been given to it in a systematic experimental manner.
In this study, we developed a systematic experimental approach that consists of
transferring 44 arbitrarily selected Salmonella typhimurium orthologous genes into an
Escherichia coli host, and estimating the fitness effects of these transferred genes at a
constant expression level by performing competition assays against the wild type.
In chapter 2, we performed one-to-one competition assays between a mutant strain
carrying a transferred gene and the wild type strain. By using flow cytometry we
estimated selection coefficients for the transferred genes with a precision level of 10-3,and obtained the DFE of horizontally transferred genes. We then investigated if these
fitness effects could be predicted by any of the intrinsic properties of the genes, namely,
functional category, degree of complexity (protein-protein interactions), GC content,
codon usage and length. Our analyses revealed that the functional category and length
of the genes act as potential selective barriers. Finally, using the same procedure with
the endogenous E. coli orthologs of these 44 genes, we demonstrated that gene dosage is
the most prominent selective barrier to HGT.
In chapter 3, using the same set of genes we investigated the role of environment on the
success of HGT events. Under six different environments with different levels of stress
we performed more complex competition assays, where we mixed all 44 mutant strains
carrying transferred genes with the wild type strain. To estimate the fitness effects of
genes relative to wild type we used next generation sequencing. We found that the DFEs
of horizontally transferred genes are highly dependent on the environment, with
abundant gene–by-environment interactions. Furthermore, we demonstrated a
relationship between average fitness effect of a gene across all environments and its
environmental variance, and thus its predictability. Finally, in spite of the fitness effects
of genes being highly environment-dependent, we still observed a common shape of
DFEs across all tested environments.
Publishing Year
Date Published
2016-12-01
Publisher
Institute of Science and Technology Austria
Acknowledgement
This study was supported by European Research Council ERC CoG 2014 – EVOLHGT,
under the grant number 648440.
It is a pleasure to thank the many people who made this thesis possible.
I would like to first thank my advisor, Jonathan Paul Bollback for providing guidance in
all aspects of my life, encouragement, sound advice, and good teaching over the last six
years.
I would also like to thank the members of my dissertation committee – Călin C. Guet
and John F. Baines – not only for their time and guidance, but for their intellectual
contributions to my development as a scientist.
I would like to thank Flavia Gama and Rodrigo Redondo who have taught me all the
skills in the laboratory with their graciousness and friendship. Also special thanks to
Bollback group for their support and for providing a stimulating and fun environment:
Isabella Tomanek, Fabienne Jesse, Claudia Igler, and Pavel Payne.
Jerneja Beslagic is not only an amazing assistant, she also has a smile brighter and
warmer than the sunshine, bringing happiness to every moment. Always keep your light
Neja, I will miss our invaluable chatters a lot.
Page
75
ISSN
IST-REx-ID
Cite this
Acar H. Selective barriers to horizontal gene transfer. 2016.
Acar, H. (2016). Selective barriers to horizontal gene transfer. Institute of Science and Technology Austria.
Acar, Hande. “Selective Barriers to Horizontal Gene Transfer.” Institute of Science and Technology Austria, 2016.
H. Acar, “Selective barriers to horizontal gene transfer,” Institute of Science and Technology Austria, 2016.
Acar H. 2016. Selective barriers to horizontal gene transfer. Institute of Science and Technology Austria.
Acar, Hande. Selective Barriers to Horizontal Gene Transfer. Institute of Science and Technology Austria, 2016.
All files available under the following license(s):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]
Main File(s)
File Name
PhDThesis_HandeAcar_1230.pdf
3.68 MB
Access Level
Closed Access
Date Uploaded
2019-08-13
MD5 Checksum
94bbbc754c36115bf37f8fc11fad43c4
File Name
2016_Thesis_HandeAcar.pdf
3.68 MB
Access Level
Open Access
Date Uploaded
2021-02-22
MD5 Checksum
94bbbc754c36115bf37f8fc11fad43c4