Special Issue "Tools for Population and Evolutionary Genetics"

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Population and Evolutionary Genetics and Genomics".

Deadline for manuscript submissions: 31 July 2019

Special Issue Editors

Guest Editor
Dr. David Alvarez-Ponce

University of Nevada, Reno
Website | E-Mail
Interests: Molecular Evolution; Comparative Genomics; Bioinformatics.
Guest Editor
Dr. Julie M. Allen

University of Nevada, Reno
Website | E-Mail
Interests: Co-evolution; Phylogenomics; Bioinformatics
Guest Editor
Dr. Won C. Yim

University of Nevada, Reno
Website | E-Mail
Interests: Genomics; Comparative genomics; Crop genetics; Bioinformatics
Guest Editor
Dr. Marco Fondi

Università degli Studi di Firenze
Website | E-Mail
Interests: Systems Biology; Evolutionary Genomics; Metabolic Modelling

Special Issue Information

Dear Colleagues,

In recent years, the development of next generation sequencing techniques has fueled an explosion in the pace at which genomic data sets are generated, while dramatically decreasing the costs of genome sequencing. Comparison of these datasets can uncover remarkable information about the evolution of organisms. The availability of datasets of ever-increasing size and complexity has resulted in a growing need for computational tools that allow their effective and efficient analysis.

This special issue focuses on tools for population and evolutionary genetics, including, but not limited to, bioinformatics approaches, and computational tools, algorithms and resources. We welcome submissions of reviews, research articles, and short communications. We also encourage the submission of manuscripts describing new tools, in the form of “concept papers”.

Dr. David Alvarez-Ponce
Dr. Julie M. Allen
Dr. Won C. Yim
Dr. Marco Fondi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Bioinformatics
  • Comparative Genomics
  • Population genomics
  • Phylogenomics
  • Evolution

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

1)     Title: Selection among alternative scenarios of human evolution by simulated genetic gradients

Authors: Catarina Branco, Miguel Arenas *

Affiliation: Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain

Abstract: Selecting among alternative scenarios of human evolution is nowadays a common methodology to investigate the history of our species. This strategy is usually based on computer simulations of genetic data under different evolutionary scenarios followed by a fitting of the simulated data with the real data. A recent trend in the investigation of ancestral evolutionary processes of modern humans is the application of genetic gradients as a measure of fitting, since evolutionary processes such as range expansions, range contractions and population admixture (among others) can lead to different genetic gradients. In addition, this strategy allows the analysis of the genetic causes of the observed genetic gradients. Here we review recent findings on the selection among alternative scenarios of human evolution based on simulated genetic gradients, including pros and cons. First, we describe common methodologies to simulate genetic gradients and apply them to select among alternative scenarios of human evolution. Next, we review previous studies on the influence of range expansions, population admixture, last glacial period and migration with long-distance dispersal on genetic gradients for some regions of the world. Finally we discuss this analytical approach, including technical limitations, required improvements and advices. Although here we focus on human evolution, this approach could be extended to study other species.

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