Literature DB >> 22665272

Sampling in landscape genomics.

Stéphanie Manel1, Cécile H Albert, Nigel G Yoccoz.   

Abstract

Landscape genomics, based on the sampling of individuals genotyped for a large number of markers, may lead to the identification of regions of the genome correlated to selection pressures caused by the environment. In this chapter, we discuss sampling strategies to be used in a landscape genomics approach. We suggest that designs based on model-based stratification using the climatic and/or biological spaces are in general more efficient than designs based on the geographic space. More work is needed to identify designs that allow disentangling environmental selection pressures versus other processes such as range expansions or hierarchical population structure.

Mesh:

Year:  2012        PMID: 22665272     DOI: 10.1007/978-1-61779-870-2_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Sampling strategy optimization to increase statistical power in landscape genomics: A simulation-based approach.

Authors:  Oliver Selmoni; Elia Vajana; Annie Guillaume; Estelle Rochat; Stéphane Joost
Journal:  Mol Ecol Resour       Date:  2019-10-21       Impact factor: 7.090

Review 2.  A Critical Assessment of the Congruency between Environmental DNA and Palaeoecology for the Biodiversity Monitoring and Palaeoenvironmental Reconstruction.

Authors:  Shahnawaz Hassan; Zulaykha Khurshid; Bikram Singh Bali; Bashir Ah Ganai; R Z Sayyed; Peter Poczai; Muzafar Zaman
Journal:  Int J Environ Res Public Health       Date:  2022-08-01       Impact factor: 4.614

  2 in total

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