Current approaches in spatial genetics

V. Montano; A. Eriksson; A. Manica; Y. Moodley

doi:10.1007/978-3-642-38212-3_14

Current approaches in spatial genetics

V. Montano^*, A. Eriksson, A. Manica, Y. Moodley

^*Corresponding author for this work

School of Biology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Spatial and landscape genetics have been recently undergone rapid advancement, although their theoretical development can be dated back to the origin of theoretical population genetics. The extent at which the spatial distribution of a population influences the short- and long-term population dynamics can be investigated by the application of several genetic and statistical approaches. In the present chapter, we offer a perspective on the different aims in spatial and landscape genetic researches and the tools to achieve them, reviewing some of the most important software that have been implemented to date.

Original language	English
Title of host publication	Evolutionary Biology
Subtitle of host publication	Exobiology and Evolutionary Mechanisms
Publisher	Springer-Verlag
Pages	217-229
Number of pages	13
ISBN (Electronic)	9783642382123
ISBN (Print)	9783642382116
DOIs	https://doi.org/10.1007/978-3-642-38212-3_14
Publication status	Published - 1 Jan 2013

Access to Document

10.1007/978-3-642-38212-3_14

Cite this

@inbook{d39e19e9608b48b88a9f1a844f40640f,

title = "Current approaches in spatial genetics",

abstract = "Spatial and landscape genetics have been recently undergone rapid advancement, although their theoretical development can be dated back to the origin of theoretical population genetics. The extent at which the spatial distribution of a population influences the short- and long-term population dynamics can be investigated by the application of several genetic and statistical approaches. In the present chapter, we offer a perspective on the different aims in spatial and landscape genetic researches and the tools to achieve them, reviewing some of the most important software that have been implemented to date.",

author = "V. Montano and A. Eriksson and A. Manica and Y. Moodley",

year = "2013",

month = jan,

day = "1",

doi = "10.1007/978-3-642-38212-3_14",

language = "English",

isbn = "9783642382116",

pages = "217--229",

booktitle = "Evolutionary Biology",

publisher = "Springer-Verlag",

address = "Germany",

}

TY - CHAP

T1 - Current approaches in spatial genetics

AU - Montano, V.

AU - Eriksson, A.

AU - Manica, A.

AU - Moodley, Y.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Spatial and landscape genetics have been recently undergone rapid advancement, although their theoretical development can be dated back to the origin of theoretical population genetics. The extent at which the spatial distribution of a population influences the short- and long-term population dynamics can be investigated by the application of several genetic and statistical approaches. In the present chapter, we offer a perspective on the different aims in spatial and landscape genetic researches and the tools to achieve them, reviewing some of the most important software that have been implemented to date.

AB - Spatial and landscape genetics have been recently undergone rapid advancement, although their theoretical development can be dated back to the origin of theoretical population genetics. The extent at which the spatial distribution of a population influences the short- and long-term population dynamics can be investigated by the application of several genetic and statistical approaches. In the present chapter, we offer a perspective on the different aims in spatial and landscape genetic researches and the tools to achieve them, reviewing some of the most important software that have been implemented to date.

UR - http://www.scopus.com/inward/record.url?scp=84948109344&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-38212-3_14

DO - 10.1007/978-3-642-38212-3_14

M3 - Chapter

AN - SCOPUS:84948109344

SN - 9783642382116

SP - 217

EP - 229

BT - Evolutionary Biology

PB - Springer-Verlag

ER -

Current approaches in spatial genetics

Abstract

Access to Document

Other files and links

Fingerprint

Cite this