Comprehensive Identification of the Bovine KLF Gene Family and Its Functional Regulation in Muscle Development: Insights from Single-Nuclei Transcriptomics.
Saved in:
| Title: | Comprehensive Identification of the Bovine KLF Gene Family and Its Functional Regulation in Muscle Development: Insights from Single-Nuclei Transcriptomics. |
|---|---|
| Authors: | Ma, Fengying, Zhou, Le, Guo, Lili, Chang, Chencheng, Dan, Dan, Bao, Yanchun, Han, Guiting, Gu, Mingjuan, Zhu, Lin, Na, Risu, Shi, Caixia, Zhang, Jiaxin, Zhang, Wenguang |
| Source: | Animals (2076-2615); Oct2025, Vol. 15 Issue 19, p2930, 18p |
| Subject Terms: | MUSCLE growth, KRUPPEL-like factors, RNA sequencing, ANIMAL breeding, BEEF industry, BOS, HEREDITY, TRANSCRIPTOMES |
| Abstract: | Simple Summary: Beef production is important for global food security. Understanding the genetic factors that control muscle growth and meat quality in cattle is key to improving breeding strategies. This study focused on a family of genes called KLF transcription factors, which are known to be master regulators of growth and metabolism. We systematically identified 14 KLF genes in the cattle genome. Using advanced single-nuclei RNA sequencing technology, we mapped the activity of these genes across different cell types (such as muscle fibers, fat cells, and immune cells) in the muscle tissue of two cattle breeds: Angus (beef breed) and Holstein (dairy breed). We discovered that the activity of these KLF genes varies greatly between cell types and between breeds. Using a machine learning approach, we identified KLF6, KLF9, KLF10, and KLF12 as key genes that may drive the differences in muscle development between the two breeds. Our findings provide valuable genetic targets for future breeding programs aimed at enhancing beef quality and yield. The Krüppel-like factor (KLF) family of transcription regulators plays pivotal roles in adipogenesis, myogenesis, and metabolism. While comprehensively studied in humans and mice, its characterization in cattle remains limited, especially within the skeletal muscle niche. This study aimed to systematically characterize the KLF family in Bos taurus and elucidate its role in breed-specific muscular development. We employed an integrated approach of comparative genomics and single-nucleus RNA sequencing (snRNA-seq) on longissimus dorsi muscle from Angus (ANG, beef breed) and Holstein (HST, dairy breed) cattle. Phylogenomic analysis identified 14 KLF genes, revealing evolutionary conservation and potential functional divergence. snRNA-seq delineated 11 distinct cell populations and uncovered cell-type-specific expression patterns of KLFs. Further machine learning based analysis pinpointed KLF6, KLF9, KLF10, and KLF12 as key global drivers of transcriptional differences between breeds, while KLF6 was identified as a major cell-type-specific contributor in lymphatic endothelial cells. Our work provides a foundational resource for understanding the KLF family in cattle and identifies promising candidate genes for improving meat production traits through molecular breeding. [ABSTRACT FROM AUTHOR] |
| Copyright of Animals (2076-2615) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Biomedical Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&db=pmc&term=2076-2615[TA]+AND+2930[PG]+AND+2025[PDAT] Name: FREE - PubMed Central (ISSN based link) Category: fullText Text: Full Text Icon: https://imageserver.ebscohost.com/NetImages/iconPdf.gif MouseOverText: Check this PubMed for the article full text. – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edm&genre=article&issn=20762615&ISBN=&volume=15&issue=19&date=20251001&spage=2930&pages=2930-2947&title=Animals (2076-2615)&atitle=Comprehensive%20Identification%20of%20the%20Bovine%20KLF%20Gene%20Family%20and%20Its%20Functional%20Regulation%20in%20Muscle%20Development%3A%20Insights%20from%20Single-Nuclei%20Transcriptomics.&aulast=Ma%2C%20Fengying&id=DOI:10.3390/ani15192930 Name: Full Text Finder Category: fullText Text: Full Text Finder Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif MouseOverText: Full Text Finder – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Ma%20F Name: ISI Category: fullText Text: Nájsť tento článok vo Web of Science Icon: https://imagesrvr.epnet.com/ls/20docs.gif MouseOverText: Nájsť tento článok vo Web of Science |
|---|---|
| Header | DbId: edm DbLabel: Biomedical Index An: 188685029 RelevancyScore: 1060 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.49194335938 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Comprehensive Identification of the Bovine KLF Gene Family and Its Functional Regulation in Muscle Development: Insights from Single-Nuclei Transcriptomics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Fengying%22">Ma, Fengying</searchLink><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Le%22">Zhou, Le</searchLink><br /><searchLink fieldCode="AR" term="%22Guo%2C+Lili%22">Guo, Lili</searchLink><br /><searchLink fieldCode="AR" term="%22Chang%2C+Chencheng%22">Chang, Chencheng</searchLink><br /><searchLink fieldCode="AR" term="%22Dan%2C+Dan%22">Dan, Dan</searchLink><br /><searchLink fieldCode="AR" term="%22Bao%2C+Yanchun%22">Bao, Yanchun</searchLink><br /><searchLink fieldCode="AR" term="%22Han%2C+Guiting%22">Han, Guiting</searchLink><br /><searchLink fieldCode="AR" term="%22Gu%2C+Mingjuan%22">Gu, Mingjuan</searchLink><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Lin%22">Zhu, Lin</searchLink><br /><searchLink fieldCode="AR" term="%22Na%2C+Risu%22">Na, Risu</searchLink><br /><searchLink fieldCode="AR" term="%22Shi%2C+Caixia%22">Shi, Caixia</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiaxin%22">Zhang, Jiaxin</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Wenguang%22">Zhang, Wenguang</searchLink> – Name: TitleSource Label: Source Group: Src Data: Animals (2076-2615); Oct2025, Vol. 15 Issue 19, p2930, 18p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22MUSCLE+growth%22">MUSCLE growth</searchLink><br /><searchLink fieldCode="DE" term="%22KRUPPEL-like+factors%22">KRUPPEL-like factors</searchLink><br /><searchLink fieldCode="DE" term="%22RNA+sequencing%22">RNA sequencing</searchLink><br /><searchLink fieldCode="DE" term="%22ANIMAL+breeding%22">ANIMAL breeding</searchLink><br /><searchLink fieldCode="DE" term="%22BEEF+industry%22">BEEF industry</searchLink><br /><searchLink fieldCode="DE" term="%22BOS%22">BOS</searchLink><br /><searchLink fieldCode="DE" term="%22HEREDITY%22">HEREDITY</searchLink><br /><searchLink fieldCode="DE" term="%22TRANSCRIPTOMES%22">TRANSCRIPTOMES</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Simple Summary: Beef production is important for global food security. Understanding the genetic factors that control muscle growth and meat quality in cattle is key to improving breeding strategies. This study focused on a family of genes called KLF transcription factors, which are known to be master regulators of growth and metabolism. We systematically identified 14 KLF genes in the cattle genome. Using advanced single-nuclei RNA sequencing technology, we mapped the activity of these genes across different cell types (such as muscle fibers, fat cells, and immune cells) in the muscle tissue of two cattle breeds: Angus (beef breed) and Holstein (dairy breed). We discovered that the activity of these KLF genes varies greatly between cell types and between breeds. Using a machine learning approach, we identified KLF6, KLF9, KLF10, and KLF12 as key genes that may drive the differences in muscle development between the two breeds. Our findings provide valuable genetic targets for future breeding programs aimed at enhancing beef quality and yield. The Krüppel-like factor (KLF) family of transcription regulators plays pivotal roles in adipogenesis, myogenesis, and metabolism. While comprehensively studied in humans and mice, its characterization in cattle remains limited, especially within the skeletal muscle niche. This study aimed to systematically characterize the KLF family in Bos taurus and elucidate its role in breed-specific muscular development. We employed an integrated approach of comparative genomics and single-nucleus RNA sequencing (snRNA-seq) on longissimus dorsi muscle from Angus (ANG, beef breed) and Holstein (HST, dairy breed) cattle. Phylogenomic analysis identified 14 KLF genes, revealing evolutionary conservation and potential functional divergence. snRNA-seq delineated 11 distinct cell populations and uncovered cell-type-specific expression patterns of KLFs. Further machine learning based analysis pinpointed KLF6, KLF9, KLF10, and KLF12 as key global drivers of transcriptional differences between breeds, while KLF6 was identified as a major cell-type-specific contributor in lymphatic endothelial cells. Our work provides a foundational resource for understanding the KLF family in cattle and identifies promising candidate genes for improving meat production traits through molecular breeding. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Animals (2076-2615) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edm&AN=188685029 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/ani15192930 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 2930 Subjects: – SubjectFull: MUSCLE growth Type: general – SubjectFull: KRUPPEL-like factors Type: general – SubjectFull: RNA sequencing Type: general – SubjectFull: ANIMAL breeding Type: general – SubjectFull: BEEF industry Type: general – SubjectFull: BOS Type: general – SubjectFull: HEREDITY Type: general – SubjectFull: TRANSCRIPTOMES Type: general Titles: – TitleFull: Comprehensive Identification of the Bovine KLF Gene Family and Its Functional Regulation in Muscle Development: Insights from Single-Nuclei Transcriptomics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Fengying – PersonEntity: Name: NameFull: Zhou, Le – PersonEntity: Name: NameFull: Guo, Lili – PersonEntity: Name: NameFull: Chang, Chencheng – PersonEntity: Name: NameFull: Dan, Dan – PersonEntity: Name: NameFull: Bao, Yanchun – PersonEntity: Name: NameFull: Han, Guiting – PersonEntity: Name: NameFull: Gu, Mingjuan – PersonEntity: Name: NameFull: Zhu, Lin – PersonEntity: Name: NameFull: Na, Risu – PersonEntity: Name: NameFull: Shi, Caixia – PersonEntity: Name: NameFull: Zhang, Jiaxin – PersonEntity: Name: NameFull: Zhang, Wenguang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20762615 Numbering: – Type: volume Value: 15 – Type: issue Value: 19 Titles: – TitleFull: Animals (2076-2615) Type: main |
| ResultId | 1 |
Full Text Finder
Nájsť tento článok vo Web of Science