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Node-based measures of connectivity in genetic networks

Erin l. Koen [et al.] - Nama Orang;

At-site environmental conditions can have strong influences on genetic connectivity, and in particular on the immigration and settlement phases of dispersal. However, at-site processes are rarely explored in landscape genetic analyses. Networks can facilitate the study of at-site processes, where network nodes are used to model site-level effects. We used simulated genetic networks to compare and contrast the performance of 7 node-based (as opposed to edgebased) genetic connectivity metrics. We simulated increasing node connectivity by varying migration in two ways:
we increased the number of migrants moving between a focal node and a set number of recipient nodes, and we
increased the number of recipient nodes receiving a set number of migrants. We found that two metrics in particular,
the average edge weight and the average inverse edge weight, varied linearly with simulated connectivity. Conversely,
node degree was not a good measure of connectivity. We demonstrated the use of average inverse edge
weight to describe the influence of at-site habitat characteristics on genetic connectivity of 653 American martens
(Martes americana) in Ontario, Canada. We found that highly connected nodes had high habitat quality for marten
(deep snow and high proportions of coniferous and mature forest) and were farther from the range edge. We recommend
the use of node-based genetic connectivity metrics, in particular, average edge weight or average inverse edge
weight, to model the influences of at-site habitat conditions on the immigration and settlement phases of dispersal.

Keywords: American marten, edge weight, genetic network, landscape genetics, Martes americana, nodes

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Judul Seri: Molecular Ecology Resources
No. Panggil: -
Penerbit: : John Wiley & Sons, Ltd.., 2016
Deskripsi Fisik: Molecular Ecology Resources (2016) 16, 69–79
Bahasa: English
ISBN/ISSN: doi: 10.1111/1755-09
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: BIOLOGI
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Wati/Agus

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FULL TEXT:Node-based measures of connectivity in genetic networks

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