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      Expansion and collapse of VEGF diversity in major clades of the animal kingdom

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          Abstract

          Together with the platelet-derived growth factors (PDGFs), the vascular endothelial growth factors (VEGFs) form the PDGF/VEGF subgroup among cystine knot growth factors. The evolutionary relationships within this subgroup have not been examined thoroughly to date. Here, we comprehensively analyze the PDGF/VEGF growth factors throughout all animal phyla and propose a phylogenetic tree. Vertebrate whole-genome duplications play a role in expanding PDGF/VEGF diversity, but several limited duplications are necessary to account for the temporal pattern of emergence. The phylogenetically oldest PDGF/VEGF-like growth factor likely featured a C-terminus with a BR3P signature, a hallmark of the modern-day lymphangiogenic growth factors VEGF-C and VEGF-D. Some younger VEGF genes, such as VEGFB and PGF, appeared completely absent in important vertebrate clades such as birds and amphibia, respectively. In contrast, individual PDGF/VEGF gene duplications frequently occurred in fish on top of the known fish-specific whole-genome duplications. The lack of precise counterparts for human genes poses limitations but also offers opportunities for research using organisms that diverge considerably from humans.

          Graphical abstract

          Sources for the graphical abstract: 326 MYA and older [ 1]; 72–240 MYA [ 2]; 235–65 MYA [ 3]

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10456-023-09874-9.

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          New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

          PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasonable starting tree topology. Since the original publication (Guindon S., Gascuel O. 2003. A simple, fast and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52:696-704), PhyML has been widely used (>2500 citations in ISI Web of Science) because of its simplicity and a fair compromise between accuracy and speed. In the meantime, research around PhyML has continued, and this article describes the new algorithms and methods implemented in the program. First, we introduce a new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves. The parsimony criterion is used here to filter out the least promising topology modifications with respect to the likelihood function. The analysis of a large collection of real nucleotide and amino acid data sets of various sizes demonstrates the good performance of this method. Second, we describe a new test to assess the support of the data for internal branches of a phylogeny. This approach extends the recently proposed approximate likelihood-ratio test and relies on a nonparametric, Shimodaira-Hasegawa-like procedure. A detailed analysis of real alignments sheds light on the links between this new approach and the more classical nonparametric bootstrap method. Overall, our tests show that the last version (3.0) of PhyML is fast, accurate, stable, and ready to use. A Web server and binary files are available from http://www.atgc-montpellier.fr/phyml/.
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            Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation

            The Interactive Tree Of Life ( https://itol.embl.de ) is an online tool for the display, manipulation and annotation of phylogenetic and other trees. It is freely available and open to everyone. iTOL version 5 introduces a completely new tree display engine, together with numerous new features. For example, a new dataset type has been added (MEME motifs), while annotation options have been expanded for several existing ones. Node metadata display options have been extended and now also support non-numerical categorical values, as well as multiple values per node. Direct manual annotation is now available, providing a set of basic drawing and labeling tools, allowing users to draw shapes, labels and other features by hand directly onto the trees. Support for tree and dataset scales has been extended, providing fine control over line and label styles. Unrooted tree displays can now use the equal-daylight algorithm, proving a much greater display clarity. The user account system has been streamlined and expanded with new navigation options and currently handles >1 million trees from >70 000 individual users. Graphical Abstract iTOL: an online tool for the tree display and annotation.
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              Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis.

              The use of some multiple-sequence alignments in phylogenetic analysis, particularly those that are not very well conserved, requires the elimination of poorly aligned positions and divergent regions, since they may not be homologous or may have been saturated by multiple substitutions. A computerized method that eliminates such positions and at the same time tries to minimize the loss of informative sites is presented here. The method is based on the selection of blocks of positions that fulfill a simple set of requirements with respect to the number of contiguous conserved positions, lack of gaps, and high conservation of flanking positions, making the final alignment more suitable for phylogenetic analysis. To illustrate the efficiency of this method, alignments of 10 mitochondrial proteins from several completely sequenced mitochondrial genomes belonging to diverse eukaryotes were used as examples. The percentages of removed positions were higher in the most divergent alignments. After removing divergent segments, the amino acid composition of the different sequences was more uniform, and pairwise distances became much smaller. Phylogenetic trees show that topologies can be different after removing conserved blocks, particularly when there are several poorly resolved nodes. Strong support was found for the grouping of animals and fungi but not for the position of more basal eukaryotes. The use of a computerized method such as the one presented here reduces to a certain extent the necessity of manually editing multiple alignments, makes the automation of phylogenetic analysis of large data sets feasible, and facilitates the reproduction of the final alignment by other researchers.
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                Author and article information

                Contributors
                michael@jeltsch.org
                Journal
                Angiogenesis
                Angiogenesis
                Angiogenesis
                Springer Netherlands (Dordrecht )
                0969-6970
                1573-7209
                5 April 2023
                5 April 2023
                2023
                : 26
                : 3
                : 437-461
                Affiliations
                [1 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, , University of Helsinki, ; Biocenter 2, (Viikinkaari 5E), P.O. Box. 56, 00790 Helsinki, Finland
                [2 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Individualized Drug Therapy Research Program, Faculty of Medicine, , University of Helsinki, ; Helsinki, Finland
                [3 ]GRID grid.452042.5, ISNI 0000 0004 0442 6391, Wihuri Research Institute, ; Helsinki, Finland
                [4 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Helsinki One Health, , University of Helsinki, ; Helsinki, Finland
                Author information
                http://orcid.org/0000-0001-5485-7040
                http://orcid.org/0000-0002-3826-7582
                http://orcid.org/0000-0003-2890-7790
                Article
                9874
                10.1007/s10456-023-09874-9
                10328876
                37017884
                ea7ec9e4-51a9-4fec-99b7-b6179c2e5b58
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 January 2023
                : 17 March 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004212, Päivikki ja Sakari Sohlbergin Säätiö;
                Funded by: FundRef http://dx.doi.org/10.13039/501100013165, Otto A. Malm Lahjoitusrahasto;
                Funded by: Finnish National Agency for Education (EDUFI)
                Funded by: Finnish Pharmaceutical Society
                Funded by: FundRef http://dx.doi.org/10.13039/501100009708, Novo Nordisk Fonden;
                Award ID: 21036
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002341, Academy of Finland;
                Award ID: 337120
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100007417, Paulon Säätiö;
                Funded by: Einar and Karin Stroem Foundation for Medical Research
                Funded by: University of Helsinki including Helsinki University Central Hospital
                Categories
                Original Paper
                Custom metadata
                © Springer Nature B.V. 2023

                Human biology
                vegf,pdgf,phylogeny,vegf-c,vascular biology,evolution
                Human biology
                vegf, pdgf, phylogeny, vegf-c, vascular biology, evolution

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