Skip navigation
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBleidorn, Christoph-
dc.date.accessioned2021-04-22T06:06:07Z-
dc.date.available2021-04-22T06:06:07Z-
dc.date.issued2017-
dc.identifier.isbn978-3-319-54064-1-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/285-
dc.descriptionDuring my time at German universities, I was heavily involved in teaching bachelor and master level students. This included lectures, seminars and practical courses. While the field of molecular phylogenetics changed while moving into the postgenomic era, so did my courses. Besides the introduction of phylogenetic methods (e.g. maximum parsi- mony, maximum likelihood), I realized that more and more background knowledge became of major importance to carry out phylogenetic analyses. This includes knowl- edge about genomics, sequencing techniques as well as bioinformatic approaches to handle sequence data before the actual phylogenetic analysis starts. With this book I want to give a concise overview of all major steps of a phylogenomic analyses, as well as some insights into recent advantages in the field of genomics. This book is mainly addressed to undergraduate and graduate biology students, but also postdocs newly moving to the field of phylogenomics might use it as a first overview. The chapters are written in a concise way and focus more on explaining the idea behind methods, instead of deeply digging into the algorithmic or technical background. However, I tried always to refer to the appropriate specific literature to get deeper insights into any method (or study) of interest. Furthermore, I specified widely used and important software for every step of the phylogenetic analysis. When possible, I mention several alternatives. The name of software or scripts is always written in all caps, irrespective of the original way a name is written. This book does not include instructions on how to use this software, as in most cases detailed descriptions are available in the manual. As already noted, this book is mainly addressed to biology students. Working in the field of phylogenomics needs good to excellent (bio)informatic skills. Unfortunately, in the curriculum of many bachelor and master programmes, bioinformatics are not taught. However, several inter- national courses teaching programming skills for (evolutionary) biologists take place regularly (e.g. Cold Spring Harbor Course «Programming for Biology»; Programming for Evolutionary Biology in Leipzig), and many excellent online tutorials are available. As such I can only strongly suggest to any student interested in this field to get used to work with Linux/Unix command lines and to acquire at least basic knowledge into (scripting) languages like Python, Perl or R. I would like to thank several colleagues who commented on earlier versions of the here published chapters. In alphabetical order, they are Maite Aguado, Marie-Theres Gansauge, Michael Gerth, Iker Irisarri, Lars Podsiadlowski and Alexander Suh. I am grateful that Eva Nowack provided a picture of the enigmatic Paulinella. Moreover, I want to thank Lars Vogt, Christoph Held and Andreas Schmidt-Rhaesa for introducing me into the theoretical and practical world of molecular phylogenetics. The above- mentioned university courses, which helped me to develop the outline and content of this book, were taught at the Free University of Berlin, University of Potsdam and University of Leipzig (in collaboration with Matthias Meyer from the Max Planck Institute for Evolutionary Anthropology). I would like to thank the department heads Thomas Bartolomaeus, Ralph Tiedemann and Martin Schlegel who gave me complete freedom in filling these courses with life.en_US
dc.description.abstractAll life on earth shares a common ancestor, and the aim of phylogenetic systematics is to reconstruct the tree or network of life. Shortly after the availability of the first pro- tein sequences, molecular phylogenetic approaches were developed to understand the evolutionary relationships between proteins (or genes). It became clear that gene trees will also help to unravel the phylogeny of species. The introduction of Sanger sequenc- ing and polymerase chain reaction (PCR) paved the way that genetic approaches became available across the scientific community and contributed to the rise of molec- ular phylogenetics. At the end of the 1990s, results from single-gene studies challenged the century-old textbook view of evolutionary relationships of many groups (e.g. ani- mals, plants). Fierce discussions regarding the validity of these results led to important methodological advances, and, nowadays, molecular phylogenies are broadly accepted to represent organismal relationships in textbooks. In the mid-2000s, the way of sequencing has been revolutionized, leading to a huge drop in its costs, and unprece- dented amounts of sequence data became affordable for every type of study and also for non-model organisms. This development transformed the field of molecular phy- logenetics to phylogenomics, where genome-scale data (genomes, transcriptomes) can be exploited. The term phylogenomics was already coined in 1998 by Jonathan Eisen (also known under his twitter handle @phylogenomics), who outlined the importance of phylogenetic methods for the annotation of genes without relying on direct (time consuming) functional studies. This underlines how deeply embedded phylogenetic methods are in the field of genomicsen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectPhylogenomicsen_US
dc.subjectgenomicsen_US
dc.titlePhylogenomicsen_US
dc.title.alternativeAn Introductionen_US
dc.typeBooken_US
Appears in Collections:ARTS & SCIENCE

Files in This Item:
File Description SizeFormat 
2017_Book_Phylogenomics.pdf5.94 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.