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PCoA plot analysis for dissimilarity.

Figshare 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yu Sang Choi (22656230), Yu Jeong Roh (14295511), Ji Eun Kim (403026), Hee Jin Song (14295514), Ayun Seol (14295505), Su Jeong Lim (22656233), Su Ha Wang (22656236), Ji Eun Sung (8040404), Ye Eun Ryu (22656239), Ye Ryeong Kim (22656242), Hyun Su Park (6163211), Hong Joo Son (6585203), Yu Jin Kim (804271), Eun Sang Jung (22656245), Sunho Park (2275411), Dae Youn Hwang (766634)

Summary

Researchers performed principal coordinates analysis using both unweighted and weighted UniFrac distances to assess dissimilarity in fecal bacterial communities between wild-type and leptin-knockout mice following microplastic administration, revealing distinct clustering patterns based on obesity status and microplastic treatment.

Models

(a) Unweighted unifrac. (b) Weighted unifrac. The PCoA focused on fecal bacterial communities using the principle components in WT and Lep KO mice. The spatial distance measure indicates the degree of similarity of bacterial taxa in the fecal sample. Abbreviations: PCoA; Principal Coordinates Analysis, WT; wild type, Lep KO; leptin knockout, MP; microplastics.

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