Additional file 2 of Integrative lipidomic and genomic analysis identifies key lipids for wooden breast in chickens

Additional file 2: Fig. S1. Phenotypic distribution and genomic differentiation between the two broiler lines. Fig. S2. Illustration of endomysium thickness measurement. Fig. S3. Volcano plot of Line × WB interaction effects across 1,003 lipid species. Fig. S4. Hierarchical clustering of trend-associated lipids. Fig. S5. Global sample clustering. Fig. S6. WGCNA network topology analysis. Fig. S7. MM versus GS scatter plots. Fig. S8. Evaluation of statistical power and consistency of lipid alterations across WB scores. Fig. S9. Abundance of 25 candidate lipids across WB scores. Fig. S10. Differential expression of candidate genes. Fig. S11. Manhattan plots of lipid class and subclass abundance traits highlighting the chromosome 6 candidate locus. Fig. S12. Correlation matrix between the nine prioritized lipids and lipid class/subclass traits associated with the chromosome 6 candidate locus. Fig. S13. Validation of seven lipid biomarkers in the independent cohort. Fig. S14. Expression validation of candidate genes in the independent cohort. Fig. S15. Original uncropped Western blot images for MAPK8 and GAPDH.

Authors

Institutions

Publication Details

Journal
Figshare
Published
2026-11-03
DOI
https://doi.org/10.6084/m9.figshare.34894498
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additional file 2 of Integrative lipidomic and genomic analysis identifies key lipids for wooden breast in chickens

RanRan Liu, Mengjie Wang, Xiaochun Ma, Yaoyao Tang et al.
Figshare
Genetic and phenotypic traits in livestock
article

Additional file 2 of Integrative lipidomic and genomic analysis identifies key lipids for wooden breast in chickens

RanRan Liu, Mengjie Wang, Xiaochun Ma, Yaoyao Tang, Haohan Zhang, Yanru Chen, Yingying Pei, Lu Bai, Zhiqing Li, Jie Wen, Guiping Zhao
article en

Abstract

Additional file 2: Fig. S1. Phenotypic distribution and genomic differentiation between the two broiler lines. Fig. S2. Illustration of endomysium thickness measurement. Fig. S3. Volcano plot of Line × WB interaction effects across 1,003 lipid species. Fig. S4. Hierarchical clustering of trend-associated lipids. Fig. S5. Global sample clustering. Fig. S6. WGCNA network topology analysis. Fig. S7. MM versus GS scatter plots. Fig. S8. Evaluation of statistical power and consistency of lipid alterations across WB scores. Fig. S9. Abundance of 25 candidate lipids across WB scores. Fig. S10. Differential expression of candidate genes. Fig. S11. Manhattan plots of lipid class and subclass abundance traits highlighting the chromosome 6 candidate locus. Fig. S12. Correlation matrix between the nine prioritized lipids and lipid class/subclass traits associated with the chromosome 6 candidate locus. Fig. S13. Validation of seven lipid biomarkers in the independent cohort. Fig. S14. Expression validation of candidate genes in the independent cohort. Fig. S15. Original uncropped Western blot images for MAPK8 and GAPDH.

Figshare
South China Agricultural University (CN), Chinese Academy of Agricultural Sciences (CN), Jilin Agricultural University (CN)
Openalex Percentile: Top 16%
Genetic and phenotypic traits in livestock
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon