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A quick romp in typography Tom Grace HUB 10 4 March 2014 1 Good typography is legible because of a balanced contrast between the text (black) and the space within and around it (white). adhesion LATELY adhesion LATELY


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A quick romp in typography

HUB10

Tom Grace 4 March 2014

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Good typography is legible because

  • f a balanced contrast between the

text (‘black’) and the space within and around it (‘white’).

1

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adhesion LATELY

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adhesion LATELY

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adhesion LATELY

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adhesion LATELY

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adhesion LATELY

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adhesion LATELY

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gothic, ca. 1450 (textura)

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Les cortèges du 1er mai partout en France ont réuni 350.000 manifestants, selon une estima- tion défjnitive de la CGT, contre 1,2 million de personnes revendiqué par les syndicats en 2009, le syndicat évoquant samedi « une étape sup- plémentaire dans la mobilisation ». Selon le ministère de l’Intérieur, les cortèges du 1er mai

  • nt réuni 195.000 participants, dont 21.000 à

humanist, ca. 1500 (Palatino Nova)

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Les cortèges du 1er mai partout en F réuni 350.000 manifestants, selon une estima

  • n défjnitive de la CGT, contre 1,2 mill

de personnes revendiqué par les syndicats en le syndicat évoquant samedi « une étape supplémentaire dans la mobilisati le ministère de l’Intérieur, les cortèges du 1er mai ont réuni 195.000 participants

modern, ca. 1790 (Didot)

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Les cortèges du 1er mai partout en Fr éuni 350.000 manifestants, selon une es timation défjnitive de la CGT, contre 1,2 mil lion de personnes revendiqué par les syndi cats en 2009, le syndicat évoquant samedi une étape supplémentaire dans la mobili . Selon le ministère de l’Intérieur cortèges du 1er mai ont réuni 195.000 partic

grotesk, ca. 1950 (Frutiger)

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  • ca. 1994 (Comic Sans)
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In many cases, these analyses have concluded that the most likely explanation for the phylogenetic distribution of these gene

  • r protein families involves one or more ancient HGT events. In

this article, we review these previous studies, focusing in par- ticular on two aspects of their results and conclusions. Firstly, we highlight, as reported by the authors, that the divergence of PVC and eukaryotic/archaeal members of these families are ancient

  • events. Secondly, most of these studies conclude that one or

more HGT events are likely to have occurred during the evolution

  • f these families; we discuss three issues that make us cautious

In many cases, these analyses have concluded that the most likely expla- nation for the phylogenetic distribution of these gene or protein families involves one or more ancient HGT events. In this article, we review these previous studies, focusing in particular on two aspects of their results and

  • conclusions. Firstly, we highlight, as reported by the authors, that the di-

vergence of PVC and eukaryotic/archaeal members of these families are ancient events. Secondly, most of these studies conclude that one or more HGT events are likely to have occurred during the evolution of these families; we discuss three issues that make us cautious about making such inferences, i.e., that (i) it is diffjcult to obtain accurate inference of phy-

grotesk (Helvetica Neue) humanist (Minion)

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In many cases, these analyses have concluded that the most likely explanation for the phylogenetic distribution of these gene or protein families involves one or more ancient HGT events. In this article, we review these previous studies, focusing in particular on two aspects of their results and conclu-

  • sions. Firstly, we highlight, as reported by the authors, that the divergence of PVC and eukaryotic/

archaeal members of these families are ancient events. Secondly, most of these studies conclude that one or more HGT events are likely to have occurred during the evolution of these families; we discuss three issues that make us cautious about making such inferences, i.e., that (i) it is diffjcult to obtain accurate inference of phylogenetic tree topologies for single gene families that diverged

  • ver the time-scales involved in these analyses (ii) inference of HGT also requires an estimate of

the species tree for the organisms involved in the analysis, which is also diffjcult, and (iii) the need for increased use and further development of probabilistic models of the difgerent kinds of genetic events that can shape the taxonomic distribution of gene families (i.e., gene duplication, vertical in- heritance, gene loss, and HGT). Tierefore, we encourage caution in the inference of ancient HGT events to explain unexpected character distributions, and look forward to the further development

  • f probabilistic models for comparing HGT and non-HGT-based models. Additionally, we think

that it is important for such analyses to consider alternatives to the three-domain 16sRNA-based ToL when assessing the evidence for HGT in general. In the case of the PVC characters, alternatives include the possibility that the engulfment of a thaumarchaeon by a PVC bacterium was involved in the origin of the eukaryotes (Forterre, 2010), a stepwise vertical evolution of archaea and eukary-

  • tes from a PVC common ancestor (Devos and Reynaud, 2010; Reynaud and Devos, 2011), or the

reductive evolution of Planctomycetes from a complex proto-eukaryote-like last universal common ancestor (Fuerst and Sagulenko, 2011, 2012). Many of these issues are generally relevant to inference

  • f HGT events, not just in the context of unexpected character distributions involving PVCs. Esti-

mating patterns of genetic information transfer, i.e., phylogenetic tree topologies, that include an- cient lineage divergences is diffjcult (Gribaldo and Philippe, 2002; Delsuc et al., 2005). In particular,

efgect of long line lengths

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In many cases, these analyses have concluded that the most likely explanation for the phylogenetic distribution of these gene or protein families involves one or more ancient HGT events. In this article, we review these previous studies, focusing in particular on two aspects of their results and conclu-

  • sions. Firstly, we highlight, as reported by the authors, that the divergence of PVC and eukaryotic/

archaeal members of these families are ancient events. Secondly, most of these studies conclude that one or more HGT events are likely to have occurred during the evolution of these families; we discuss three issues that make us cautious about making such inferences, i.e., that (i) it is diffjcult to obtain accurate inference of phylogenetic tree topologies for single gene families that diverged

  • ver the time-scales involved in these analyses (ii) inference of HGT also requires an estimate of

the species tree for the organisms involved in the analysis, which is also diffjcult, and (iii) the need for increased use and further development of probabilistic models of the difgerent kinds of genetic events that can shape the taxonomic distribution of gene families (i.e., gene duplication, vertical in- heritance, gene loss, and HGT). Tierefore, we encourage caution in the inference of ancient HGT events to explain unexpected character distributions, and look forward to the further development

  • f probabilistic models for comparing HGT and non-HGT-based models. Additionally, we think

that it is important for such analyses to consider alternatives to the three-domain 16sRNA-based

efgect of long line lengths

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In many cases, these analyses have concluded that the most likely explana- tion for the phylogenetic distribution of these gene or protein families involves

  • ne or more ancient HGT events. In this

article, we review these previous studies, focusing in particular on two aspects of their results and conclusions. Firstly, we highlight, as reported by the authors, that the divergence of PVC and eukary-

  • tic/archaeal members of these families

are ancient events. Secondly, most of these studies conclude that one or more HGT events are likely to have occurred during the evolution of these families; we discuss three issues that make us

efgect of short line lengths

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In many cases, these analyses have concluded that the most likely explana- tion for the phylogenetic distribution of these gene or protein families involves

  • ne or more ancient HGT events. In this

article, we review these previous studies, focusing in particular on two aspects of their results and conclusions. Firstly, we highlight, as reported by the authors, that the divergence of PVC and eukary-

  • tic/archaeal members of these families

are ancient events. Secondly, most of these studies conclude that one or more HGT events are likely to have occurred during the evolution of these families; we discuss three issues that make us cautious about making such inferences, i.e., that (i) it is diffjcult to obtain ac- curate inference of phylogenetic tree topologies for single gene families that diverged over the time-scales involved in these analyses (ii) inference of HGT also requires an estimate of the species

efgect of short line lengths

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phylogenetic tree topologies

efgect of text size

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phylogenetic tree topologies

efgect of text size

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phylogenetic tree topologies

efgect of color (hue + tone)

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phylogenetic tree topologies

efgect of color (tone)

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100 80 60 40 42 20 black (%)

phylogenetic tree topologies phylogenetic tree topologies phylogenetic tree topologies phylogenetic tree topologies phylogenetic tree topologies phylogenetic tree topologies

efgect of color (tone)

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phylogenetic tree topologies phylogenetic tree topologies phylogenetic tree topologies

efgect of color (hue + tone)

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Good typography is helpful because its arrangement, like the content you want to share, is information.

2

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text layout

Names and origin: Protein names: Recommended name: Proto-oncogene tyrosine-protein kinase Src EC=2.7.10.2; Alternative name(s): Proto-oncogene c-Src pp60c-src (Short name=p60-Src) Gene names: Name: SRC; Synonyms: SRC1 Organism: Homo sapiens (Human) [Reference proteome] Taxonomic identifjer: 9606 [NCBI] Taxonomic lineage: Eukaryota › Metazoa › Chordata › Craniata › Vertebrata › Euteleostomi › Mammalia › Euthe- ria › Euarchontoglires › Primates › Haplorrhini › Catarrhini › Hominidae › Homo Protein attributes Sequence length: 536 AA. Sequence status: Complete. Sequence processing: The displayed sequence is further processed into a mature form. Protein existence: Evidence at protein level General annotation (Comments): Function: Non-receptor protein tyrosine kinase which is activated following engagement of many different class- es of cellular receptors including immune response receptors, integrins and other adhesion receptors, recep- tor protein tyrosine kinases, G protein-coupled receptors as well as cytokine receptors. Participates in signaling pathways that control a diverse spectrum of biological activities including gene transcription, immune response, cell adhesion, cell cycle progression, apoptosis, migration, and transformation. Due to functional redundancy between members of the SRC kinase family, identifjcation of the specifjc role of each SRC kinase is very dif-

  • fjcult. SRC appears to be one of the primary kinases activated following engagement of receptors and plays a

role in the activation of other protein tyrosine kinase (PTK) families. Receptor clustering or dimerization leads to recruitment of SRC to the receptor complexes where it phosphorylates the tyrosine residues within the receptor cytoplasmic domains. Plays an important role in the regulation of cytoskeletal organization through phosphory- lation of specifjc substrates such as AFAP1. Phosphorylation of AFAP1 allows the SRC SH2 domain to bind AFAP1 and to localize to actin fjlaments. Cytoskeletal reorganization is also controlled through the phosphoryla- tion of cortactin (CTTN). When cells adhere via focal adhesions to the extracellular matrix, signals are transmit- ted by integrins into the cell resulting in tyrosine phosphorylation of a number of focal adhesion proteins, includ- ing PTK2/FAK1 and paxillin (PXN). In addition to phosphorylating focal adhesion proteins, SRC is also active at

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text layout (UniProt)

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SLIDE 28 Table 1 | Summary of previously published analyses of unexpected taxonomic character distributions. Reference Character Results Conclusion Pearson et al. (2003) Sterol synthesis Basal branching HGT Chen et al. (2007) Sterol synthesis Basal branching HGT Desmond and Gribaldo (2009) Sterol synthesis Basal and internal branching HGT or VGT Frickey and Kannenberg (2009) Sterol synthesis Intermediate HGT or VGT Jenkins et al. (2002) Tubulin Basal branching VGT Pilhofer et al. (2011) Tubulin Basal branching VGT Chistoserdova et al. (2004) Methanogenesis Intermediate VGT Bauer et al. (2004) Methanogenesis Intermediate HGT or VGT Vorholt et al. (2005) Methylotrophy Intermediate VGT Kalyuzhnaya et al. (2005) Methylotrophy Basal branching HGT Op den Camp et al. (2009) Methanotrophy Intermediate VGT Dunfield et al. (2007) Methanotrophy Internal branching VGT Khadem et al. (2011) Rubisco Intermediate VGT For each publication (citation provided in the “Reference” column), the table indicates the character analyzed, a summary of the phylogenetic relationships (“Results”), and conclusions reached in the reference concerning the evolu- tionary origins of the unexpected character distributions (“Conclusions”). In the Assuming gene and species trees have been correctly inferred and rooted, and that no incomplete lineage sorting or intra-locus recombination has occurred (Degnan and Rosenberg, 2009; Stolzer et al., 2012), any difference between gene and organism trees can be explained by either (i) only gene loss and duplication events, (ii) only HGT and gene loss events, or (iii) a mixture of gene loss, gene duplication, and HGT (Figure 1). Note that there are many possible causes of error that could lead to inaccurate esti- mation of gene or species tree topologies. Such errors could lead to inaccurate conclusions concerning the frequency of gene loss, duplication, and HGT events within a gene family. These include errors in sequencing or gene prediction (Prosdocimi et al., 2012), alignment (Löytynoja and Goldman,2008),or differences between the substitution model used to estimate the phylogeny and the true process of point mutation experienced by sequences during their evolution (Huelsenbeck and Rannala, 2004; Mar et al., 2005; Kolaczkowski and Thornton, 2008; Roure and Philippe, 2011). Furthermore, using a comparison of gene and organism trees to analyze the frequency of gene loss, duplication, and HGT events requires rooted phylogenetic trees; even with correctly estimated unrooted topologies for both gene and organism trees, errors in the inference of the position of the root of these trees will also lead to inaccurate inference of the frequencies of gene loss, dupli- cation, and HGT (Swofford et al., 1996; Huelsenbeck et al., 2002). The inference of the position of the root of the Tree of Life (ToL)
  • ffers additional challenges due to the lack of outgroup organisms
to use for comparison (Bapteste and Brochier, 2004; Lake et al., likely scenario for the evolution of the gene family was inferred NOT to involve HGT; “HGT orVGT” indicates that the authors considered the evidence to provide similar levels of support for the HGT and VGT alternatives. lineage sorting, intra-gene recombination, or horizontal gene transfer (HGT), and which only evolves via a process of point mutation, will have the same topology as that of the correspond- ing organism (Figure 1). In contrast,where the evolution of a gene family does involve gene loss,duplication,incomplete lineage sort- ing,intra-gene recombination,or HGT,the gene tree topology may reduced as the evolutionary time-scale increases. Thus, we should be very cautious about the inference of ancient HGT events that may have occurred close to the origin of the eukaryotes, as is the case for the characters discussed in this review; alternative scenar- ios involving only vertical transmission of genetic material should also be carefully considered. UNEXPECTED CHARACTER DISTRIBUTIONS IN THE PVC SUPERPHYLUM Currently, relatively few characters with unexpected taxonomic

text layout, journal

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text layout (NCBI Blast)

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text layout (UCSC Genome Browser), 8px

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text layout (UCSC Genome Browser)

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text layout (UCSC Genome Browser), 14px

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Good typography is helpful because its arrangement, like the content you want to share, is information. Good typography is legible because

  • f a balanced contrast between the

text (‘black’) and the space within and around it (‘white’).

2 1

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Special thanks

www.virgotype.com

Aidan Budd