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‎conclusion.tex‎

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@@ -66,10 +66,10 @@ \subsection{Regulation of \abbr{trna} gene expression}
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Although \trna[s] have a “canonical” role — to act as adapters in the process of
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translation — this of course does not preclude other roles. In fact, there is
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evidence that ties \trna-derived fragments to different regulatory roles. As
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mentioned in the introduction, about ten per cent of the bases in the \trna[s]
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transcript are post-transcriptionally modified. Some of these modifications
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impact the stability of the transcript. For example, it is known that
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cytosine-\num{5} methylation in the anticodon loop of \trna[s], which is
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mentioned in the introduction, about ten per cent of the bases in a typical
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\trna[’s] transcript are post-transcriptionally modified. Some of these
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modifications impact the stability of the transcript. For example, it is known
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that cytosine-\num{5} methylation in the anticodon loop of \trna[s], which is
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prevalent in actively transcribed \trna[s], inhibits endonucleolytic cleavage.
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Absence of this methylation leads to cleavage and the accumulation of \threep
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and \fivep fragments \citep{Thompson:2008}. Furthermore, there is evidence that
@@ -78,32 +78,33 @@ \subsection{Regulation of \abbr{trna} gene expression}
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But not only the \fivep fragment of \trna[s] is catalytically active: the
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\threep ends of specific \trna[s] have been shown to act as primers for the
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transcription of endogenous retroviruses such as \hivi \citep{Litvak:1994} in a
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highly sequence-specific manner. In general, the expression of such retroviruses
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is detrimental for the cell and, by implication, excess abundance of specific
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\trna-derived fragments affects the cell’s fitness negatively. This exerts a
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selective pressure to evolve a mechanism for suppressing such fragments. One way
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of depleting their abundance is to downregulate the expression of originator\todo{ugly, better word?}
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\trna genes in response to the detection of excess \trna fragments.
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transcription of endogenous retroviruses such as \hivi in a highly
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sequence-specific manner \citep{Litvak:1994}. In general, the expression of such
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retroviruses is detrimental for the cell and, by implication, excess abundance
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of specific \trna-derived fragments affects the cell’s fitness negatively. This
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exerts a selective pressure to evolve a mechanism for suppressing the expression
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of such fragments. One way of depleting their abundance is to downregulate the
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expression of the \trna genes from which they are derived in response to the
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detection of excess \trna fragments.
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In sum, the regulatory role of \trna transcripts adds another dimension to the
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need for the regulation of their abundance. In fact, the dependence on specific
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enzymes (such as \protein{mmu}{NSUN2} in mouse) to methylate \trna[s], and thus
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to ensure their stability hints at the fundamental importance of preventing the
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formation of excess \trna-derived fragments \citep{Blanco:2014}.
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The precise mechanism of the \trna gene expression regulation remains unclear.
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Corroborating previous reports \citep{Oler:2010}, I have found some evidence
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that \trna gene activity correlates with specific histone marks. However, it is
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unclear whether this is a cause or a consequence of differential regulation, and
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it is insufficient to account for differences in the expression of \trna genes
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in close vicinity. Furthermore, there is so far no mechanism for the dynamic
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feedback necessary for effecting the compensatory effect between genes in an
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isoacceptor family.
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The precise mechanisms that regulate the expression of \trna genes remain
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unclear. Corroborating previous reports \citep{Oler:2010}, I have found some
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evidence that \trna gene activity correlates with specific histone marks.
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However, it is unclear whether this is a cause or a consequence of differential
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regulation, and it is insufficient to account for differences in the expression
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of \trna genes in close vicinity. Furthermore, there is so far no mechanism for
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the dynamic feedback necessary for effecting the compensatory effect between
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genes in an isoacceptor family.
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\subsection{Absence of evidence for codon bias-dependent translation efficiency in mammals}
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Despite the existence of larger variations in codon usage between subsets of
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Despite the existence of large variations in codon usage between subsets of
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genes, some of which are cell type specific, I was unable to find evidence for a
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regulatory effect of this codon bias on translation rates via higher adaptation
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to a cell type specific \trna anticodon isoacceptor pool in mammals. On the
@@ -114,10 +115,10 @@ \subsection{Absence of evidence for codon bias-dependent translation efficiency
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if present at all, plays a negligible role in mammalian systems. It will be
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interesting to see how this controversy will unfold.
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If true, this implies that codon bias has not conserved the regulatory role it
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plays in unicellular organisms of all domains of life \colorbox{yellow}{REF},
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where it is well established that codon bias influences translation efficiency
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to control gene-specific expression levels. Why would this central role of codon
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If true, this implies that, in mammals, codon bias has not conserved the
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regulatory role it plays in unicellular organisms \colorbox{yellow}{REF}, where
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it is well established that codon bias influences translation efficiency to
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control gene-specific expression levels. Why would this central role of codon
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bias be present in unicellular organisms but not in complex multicellular
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animals? The following is an attempt at an explanation.
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@@ -149,10 +150,10 @@ \subsection{Absence of evidence for codon bias-dependent translation efficiency
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I suggest that these two factors — the relatively higher complexity of
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transcriptional regulation in mammals, and the higher impact of variation in
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\trna gene transcription on variation in
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\trna availability and thus on translation efficiency in unicellular organisms —
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is sufficient to explain the results we observe here as well as established
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results reported in the literature.
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\trna gene transcription on variation in \trna availability and thus on
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translation efficiency in unicellular organisms — are sufficient to explain the
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results we observe here as well as established results reported in the
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literature.
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At the end of the project outlined in \cref{sec:codons}, I have started
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exploring other potential sources of the cell type-specific codon bias observed
@@ -168,7 +169,7 @@ \subsection{The extended \abbr{pol3} transcriptome}
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The \pol3 \chipseq data generated for the projects presented in this thesis
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provides a wealth of information beyond just \trna gene activity.
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\Cref{sec:pol3} takes a brief glimpse at genome-wide \pol3 binding and confirms
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that \pol3 binding can be used to assess gene activity of genes with known
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that \pol3 binding can be used to assess the activity of genes with known
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\pol3-driven transcription.
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In particular, I was able to assess binding of \pol3 to the promoter region of
@@ -206,7 +207,7 @@ \subsection{Codon usage adaptation}
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subsets of the transcriptome remains wide open. \gc bias, in particular, is
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worth exploring further. On the one hand, I observed a robust correlation
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between \gc bias and codon usage, and we know that codon usage can sometimes be
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predicted from intergenic \gc bias \citep{Chen:2004}. On the other hand,
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predicted from intergenic \gc content \citep{Chen:2004}. On the other hand,
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\citet{Duret:2002} show that, at least in \species{dmel} and \species{cel}, \gc
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bias is uncorrelated with codon usage bias.
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