2022
DOI: 10.1016/j.tpb.2022.08.002
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Theoretical analysis of principal components in an umbrella model of intraspecific evolution

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Cited by 3 publications
(3 citation statements)
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“…Diversities of alpha and beta were calculated by the core-diversity plugin in QIIME2 such as observed operational taxonomic units (OTUs), Chao1, Shannon, and Faith's to evaluate samples inside microbial diversity. Then, it was estimated through principal coordinate analysis [ 27 ], nonmetric multidimensional scaling [ 28 ], Qiime2 β analysis [ 29 ] and principal component analysis [ 30 ] to explore microbiota variation between two yak groups as per the previous study [ 31 ]. To reveal the distinguished different microbiota between group C and group S, the methods of LEfSe and DEseq2 were piloted [ 32 , 33 ].…”
Section: Methodsmentioning
confidence: 99%
“…Diversities of alpha and beta were calculated by the core-diversity plugin in QIIME2 such as observed operational taxonomic units (OTUs), Chao1, Shannon, and Faith's to evaluate samples inside microbial diversity. Then, it was estimated through principal coordinate analysis [ 27 ], nonmetric multidimensional scaling [ 28 ], Qiime2 β analysis [ 29 ] and principal component analysis [ 30 ] to explore microbiota variation between two yak groups as per the previous study [ 31 ]. To reveal the distinguished different microbiota between group C and group S, the methods of LEfSe and DEseq2 were piloted [ 32 , 33 ].…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, WZS and XXB pigs could be classified into two clusters in relation to history differentiation approximately at 100 Kya and at 60 Kya, separately; Meishan pigs might experience divergence before 1000 Kya as the individuals were dispersive during 1000 Kya; Duroc and LW pigs did not display apparent divergence (Figure 2A,D). The geographic distances were further supported by principal component analysis (PCA) and population structure based on an Admixture model [42]. In detail, the PCA plot differentiated the 152 individuals into five geographic groups (Figure 2B).…”
Section: Effective Population Sizementioning
confidence: 74%
“…The geographic distances were further supported by principal component analysis (PCA) and population structure based on an Admixture model [ 42 ]. In detail, the PCA plot differentiated the 152 individuals into five geographic groups ( Figure 2 B).…”
Section: Resultsmentioning
confidence: 99%