Proceedings

EPJ Data Science Highlight - Tracking gene flow in marine plant evolution

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Genetic flow network for the Cymodocea nodosa marine plant. © A. P. Masucci et al.

Physicists and biologists apply Big Data statistical tools to study marine plant evolution

A new method that could give a deeper insight into evolutional biology by tracing directionality in gene migration has just appeared in EPJ Data Science. Paolo Masucci from the Centre for Advanced Spatial Analysis, at University College of London, UK, and colleagues identified the segregation of genes that a marine plant underwent during its evolution. They found that the exchange of genes, or gene flow, between populations of a marine plant went westward from the Mediterranean to the Atlantic. This methodology could also be used to estimate the information flow in complex networks, including other biological or social networks.

The authors focused on a plant called Cymodocea nodosa, found in a marine area ranging from the East Mediterranean to the Iberian-African Atlantic coast. They relied on molecular markers to retrace the plant’s gene flow, among distinct plant populations that are distant geographically. The idea was to infer the evolutionary pathways from datasets obtained by sequencing the plant, made of portions of non-coding DNA, called microsatellites.

Previous population genetics methods did not allow us to infer the direction of migration with such molecular data. Their statistical analyses require complex computing power, limiting the ability to explore simple evolutionary scenarios.

The authors restricted their analysis of a microsatellite genetic-markers dataset to those found in restricted island areas, among samples collected from the Mediterranean to the Atlantic. The team then inferred the past history of the gene flow based on the geographical distribution of genetic variations.

Masucci and colleagues found that gene flow most likely occurred westward from the Mediterranean to the Atlantic. Dominant Mediterranean genetic variations penetrate into the nearest Atlantic sites, but the opposite is not true. Natural evidence and an independent cross analysis confirmed these findings.

Genetic flow directionality and geographical segregation in a Cymodocea nodosa genetic diversity network. A. P. Masucci, S. Arnaud-Haond, V. M. Eguíluz, E. Hernández-García and E. A. Serrão (2012), EPJ Data Science 1:11, DOI 10.1140/epjds11

This was our first experience of publishing with EPJ Web of Conferences. We contacted the publisher in the middle of September, just one month prior to the Conference, but everything went through smoothly. We have had published MNPS Proceedings with different publishers in the past, and would like to tell that the EPJ Web of Conferences team was probably the best, very quick, helpful and interactive. Typically, we were getting responses from EPJ Web of Conferences team within less than an hour and have had help at every production stage.
We are very thankful to Solange Guenot, Web of Conferences Publishing Editor, and Isabelle Houlbert, Web of Conferences Production Editor, for their support. These ladies are top-level professionals, who made a great contribution to the success of this issue. We are fully satisfied with the publication of the Conference Proceedings and are looking forward to further cooperation. The publication was very fast, easy and of high quality. My colleagues and I strongly recommend EPJ Web of Conferences to anyone, who is interested in quick high-quality publication of conference proceedings.

On behalf of the Organizing and Program Committees and Editorial Team of MNPS-2019, Dr. Alexey B. Nadykto, Moscow State Technological University “STANKIN”, Moscow, Russia. EPJ Web of Conferences vol. 224 (2019)

ISSN: 2100-014X (Electronic Edition)

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