A Single-Cell Assessment of Intramuscular and Subcutaneous Adipose Tissue in Beef Cattle
Mollie M. Green,
Hunter R. Ford,
Alexandra P. Tegeler,
Oscar J. Benitez,
Bradley J. Johnson and
Clarissa Strieder-Barboza ()
Additional contact information
Mollie M. Green: Department of Veterinary Sciences, Texas Tech University, Lubbock, TX 79409, USA
Hunter R. Ford: Department of Veterinary Sciences, Texas Tech University, Lubbock, TX 79409, USA
Alexandra P. Tegeler: Department of Veterinary Sciences, Texas Tech University, Lubbock, TX 79409, USA
Oscar J. Benitez: Department of Veterinary Sciences, Texas Tech University, Lubbock, TX 79409, USA
Bradley J. Johnson: Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409, USA
Clarissa Strieder-Barboza: Department of Veterinary Sciences, Texas Tech University, Lubbock, TX 79409, USA
Agriculture, 2025, vol. 15, issue 14, 1-16
Abstract:
Deposition of intramuscular fat (IM), also known as marbling, is the deciding factor of beef quality grade in the U.S. Defining molecular mechanisms underlying the differential deposition of adipose tissue in distinct anatomical areas in beef cattle is key to the development of strategies for marbling enhancement while limiting the accumulation of excessive subcutaneous adipose tissue (SAT). The objective of this exploratory study was to define the IM and SAT transcriptional heterogeneity at the whole tissue and single-nuclei levels in beef steers. Longissimus dorsi muscle samples (9–11th rib) were collected from two finished beef steers at harvest to dissect matched IM and adjacent SAT (backfat). Total RNA from IM and SAT was isolated and sequenced in an Illumina NovaSeq 6000. Nuclei from the same samples were isolated by dounce homogenization, libraries generated with 10× Genomics, and sequenced in an Illumina NovaSeq 6000, followed by analysis via Cell Ranger pipeline and Seurat in RStudio (v4.3.2) By the expression of signature marker genes, single-nuclei RNA sequencing (snRNAseq) analysis identified mature adipocytes (AD; ADIPOQ , LEP ), adipose stromal and progenitor cells (ASPC; PDGFRA ), endothelial cells (EC; VWF , PECAM1 ), smooth muscle cells (SMC; NOTCH3 , MYL9 ) and immune cells (IMC; CD163 , MRC1 ). We detected six cell clusters in SAT and nine in IM. Across IM and SAT, AD was the most abundant cell type, followed by ASPC, SMC, and IMC. In SAT, AD made up 50% of the cellular population, followed by ASPC (31%), EC (14%), IMC (1%), and SMC (4%). In IM depot, AD made up 23% of the cellular population, followed by ASPC at 19% of the population, EC at 28%, IMC at 7% and SMC at 12%. The abundance of ASPC and AD was lower in IM vs. SAT, while IMC was increased, suggesting a potential involvement of immune cells on IM deposition. Accordingly, both bulk RNAseq and snRNAseq analyses identified activated pathways of inflammation and metabolic function in IM. These results demonstrate distinct transcriptional cellular heterogeneity between SAT and IM depots in beef steers, which may underly the mechanisms by which fat deposits in each depot. The identification of depot-specific cell populations in IM and SAT via snRNAseq analysis has the potential to reveal target genes for the modulation of fat deposition in beef cattle.
Keywords: single-cell; transcriptome; beef cattle; marbling; adipose tissue; fat; meat quality (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2077-0472/15/14/1545/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/14/1545/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:14:p:1545-:d:1704529
Access Statistics for this article
Agriculture is currently edited by Ms. Leda Xuan
More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().