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UPGMA based cluster analysis with the Dice similarity coefficient was used with optimization and position tolerance both set at 1%. Isolates were clustered using an 85% similarity cut-off.
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Common variants (CV) analysis and SNP based cluster analysis proposed by James Silva et.al [ 36], with minor modification, were used separately to identify nsSNPs and their associated candidate genes for maize drought tolerance.
The model based clustering analysis reveal an optimal number of 8 clusters (BIC = 152192.4) with an ellipsoidal distribution with equal volume, shape and variable orientation.
To study the population structure within the Kerguelen Archipelago further, we conducted an individual-based cluster analysis with the program Instruct [ 19].
The Swedish nomenclature was used and based on cluster analysis with the group method with 1 % band tolerance and 1 % optimisation settings.
Hierarchical cluster analysis with mean linkage function (hclust function in base R) was used to cluster the samples by expression profiles.
Three categories could be identified based on cluster analysis: 1) silent genes or those with low expression levels (some points may silent); 2) genes expressed only under specific conditions; 3) genes with high expression levels for all the experimental conditions.
We based the cluster analysis on food variables.
They were subdivided further based on cluster analysis.
Table 1 and Figure 8 show that populations might lose more diversity than breeders would expect when such a decision is based on a cluster analysis performed only with seven generations.
Besides, we carried out a clustering analysis with Admixture v1.23, which calculates maximum likelihood estimates of individual ancestries based on data provided by multiple loci43,44.
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