ArticleAnimals : an open access journal from MDPI2020
Comparative Transcriptomic Analysis of the Pituitary Gland between Cattle Breeds Differing in Growth: Yunling Cattle and Leiqiong Cattle.
Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution.Animals : an open access journal from MDPI · 2026Review
- Sequence-based genome-wide association study reveals genetic and metabolic mechanisms underlying feed efficiency-related traits in beef cattle.Journal of animal science and biotechnology · 2026Article
- Cloning and Transcriptional Activity Analysis of the BovineAnimals : an open access journal from MDPI · 2025Article
- Deciphering the Population Characteristics of Leiqiong Cattle Using Whole-Genome Sequencing Data.Animals : an open access journal from MDPI · 2025Article
- Genomic evidence of improved fertility and adaptation in Iranian domestic sheep attributed to introgression from Asiatic Mouflon and urial.Scientific reports · 2025Article
- Current status of transcriptome sequencing technology in ruminants.Frontiers in veterinary science · 2025Review
- Insights into Adaption and Growth Evolution: Genome-Wide Copy Number Variation Analysis in Chinese Hainan Yellow Cattle Using Whole-Genome Re-Sequencing Data.International journal of molecular sciences · 2024Article
- Chromosome-level genome assembly and annotation of the Yunling cattle with PacBio and Hi-C sequencing data.Scientific data · 2024Article
- Genome-wide association and functional genomic analyses for body conformation traits in North American Holstein cattle.Frontiers in genetics · 2024Article
- Whole-genome resequencing reveals genetic diversity, differentiation, and selection signatures of yak breeds/populations in southwestern China.Frontiers in genetics · 2024Article
- Integrated Analysis of Transcriptome and Metabolome Profiles in the Longissimus Dorsi Muscle of Buffalo and Cattle.Current issues in molecular biology · 2023Article
- Expression profile and bioinformatics analysis of circRNA and its associated ceRNA networks in longissimus dorsi from Lufeng cattle and Leiqiong cattle.BMC genomics · 2023Article
- The Association between Gut Microbiome Diversity and Composition and Heat Tolerance in Cattle.Microorganisms · 2022Article
- Genome-Wide Association Study and Selective Sweep Analysis Reveal the Genetic Architecture of Body Weights in a Chicken FFrontiers in veterinary science · 2022Article
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8 authors at 1 institution in 1 country.
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Abstract
The hypothalamic-pituitary-thyroid (HPT) axis hormones regulate the growth and development of ruminants, and the pituitary gland plays a decisive role in this process. In order to identify pivotal genes in the pituitary gland that could affect the growth of cattle by regulating the secretion of hormones, we detected the content of six HPT hormones related to growth in the plasma of two cattle breeds (Yunling and Leiqiong cattle, both also known as the zebu cattle) with great differences in growth and compared the transcriptome data of their pituitary glands. Our study found that the contents of GH, IGF, TSH, thyroxine, triiodothyronine, and insulin were significantly different between the two breeds, which was the main cause of the difference in growth; 175 genes were identified as differentially expressed genes (DEGs). Functional association analyses revealed that DEGs were mainly involved in the process of transcription and signal transduction. Combining the enrichment analysis and protein interaction analysis, eight DEGs were predicted to control the growth of cattle by affecting the expression of growth-related hormones in the pituitary gland. In summary, our results suggested that
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.