Expression of fibroblast growth factor 22 (FGF22) and its receptor, FGFR1B, during development and regression of bovine corpus luteum

Castilho, A. C. S.; Dalanezi, Felipe Morales; Franchi, F; Price, Christopher A.; Ferreira, João Carlos Pinheiro; Trevisol, Eduardo; Buratini, J.

doi:10.1016/j.theriogenology.2018.09.024

Cited by 7 publications

(5 citation statements)

References 28 publications

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“…This common region observed in 90% of the studied population is a gene-rich region containing 62 annotated genes. Several genes associated with male and female reproductive traits were identified, including THEG ( Nayernia et al, 1999 ; Mannan et al, 2003 ), FGF22 ( Castilho et al, 2017 ; 2019 ), KISS1R ( D’Occhio et al, 2020 ; Singh et al, 2020 ), and ARID3A ( Yang et al, 2018 ). Furthermore, genes linked to the immune system such as AZU1 ( Xu et al, 2018 ; Verardo et al, 2021 ) and ELANE ( Cassatella et al, 2019 ; Verardo et al, 2021 ) were also identified.…”

Section: Discussionmentioning

confidence: 99%

Detection and characterization of copy number variation in three differentially-selected Nellore cattle populations

Benfica,

Brito,

do Bem

et al. 2024

Front. Genet.

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Introduction: Nellore cattle (Bos taurus indicus) is the main beef cattle breed raised in Brazil. This breed is well adapted to tropical conditions and, more recently, has experienced intensive genetic selection for multiple performance traits. Over the past 43 years, an experimental breeding program has been developed in the Institute of Animal Science (IZ, Sertaozinho, SP, Brazil), which resulted in three differentially-selected lines known as Nellore Control (NeC), Nellore Selection (NeS), and Nellore Traditional (NeT). The primary goal of this selection experiment was to determine the response to selection for yearling weight (YW) and residual feed intake (RFI) on Nellore cattle. The main objectives of this study were to: 1) identify copy number variation (CNVs) in Nellore cattle from three selection lines; 2) identify and characterize CNV regions (CNVR) on these three lines; and 3) perform functional enrichment analyses of the CNVR identified.Results: A total of 14,914 unique CNVs and 1,884 CNVRs were identified when considering all lines as a single population. The CNVRs were non-uniformly distributed across the chromosomes of the three selection lines included in the study. The NeT line had the highest number of CNVRs (n = 1,493), followed by the NeS (n = 823) and NeC (n = 482) lines. The CNVRs covered 23,449,890 bp (0.94%), 40,175,556 bp (1.61%), and 63,212,273 bp (2.54%) of the genome of the NeC, NeS, and NeT lines, respectively. Two CNVRs were commonly identified between the three lines, and six, two, and four exclusive regions were identified for NeC, NeS, and NeT, respectively. All the exclusive regions overlap with important genes, such as SMARCD3, SLC15A1, and MAPK1. Key biological processes associated with the candidate genes were identified, including pathways related to growth and metabolism.Conclusion: This study revealed large variability in CNVs and CNVRs across three Nellore lines differentially selected for YW and RFI. Gene annotation and gene ontology analyses of the exclusive CNVRs to each line revealed specific genes and biological processes involved in the expression of growth and feed efficiency traits. These findings contribute to the understanding of the genetic mechanisms underlying the phenotypic differences among the three Nellore selection lines.

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Section: Discussionmentioning

confidence: 99%

Detection and characterization of copy number variation in three differentially-selected Nellore cattle populations

Benfica,

Brito,

do Bem

et al. 2024

Front. Genet.

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“…Several genes affect egg yolk resilience. FGF22 selectively promotes excitatory presynaptic differentiation and participated in follicular development and luteal differentiation ( Castilho et al, 2019 ). RNF126 plays a role in different physiological processes dependent or independent of E3 ligase activity ( Xu et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…It regulates cholesterol biosynthesis by regulating 3-hydroxy-3-methylglutaryl-CoA reductase and the low-density lipoprotein receptor, which are involved in cholesterol biosynthesis ( Medina et al, 2011 ). In addition, FGF22, located on GGA28, is a fibroblast growth factor that regulates follicular and luteal development ( Castilho et al, 2019 ), whereas RNF126 is a ring domain-containing protein involved in proteasome-mediated ubiquitin-dependent protein catabolism ( Xu et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of candidate genomic regions for thermogelled egg yolk traits based on a genome-wide association study

Zhang¹,

Li²,

Ma³

et al. 2023

Poultry Science

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“…La señalización a través de este gen (F2RL-1) media la citogénesis in vitro de las células endoteliales y promueve la vasodilatación y permeabilidad microvascular, pasos fundamentales de la angiogénesis. Se ha observado la sobreexpresión del gen F2RL-1 que explican en parte los cambios de crecimiento de los vasos sanguíneos de las células de la teca, y la invasión de las células de granulosa murales después de la ruptura folicular (24) .…”

Section: Rutaunclassified

Análisis in silico de la expresión génica en células de granulosa de folículos preovulatorios en dos especies de bovinos

Berdugo

Tarazona-Morales

Echeverry-Zuluaga

et al. 2022

Rev. Mex. Cienc. Pecu.

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Los búfalos y vacunos son dos especies de bovinos con gran parecido en su fisiología reproductiva, pero a la vez con gran diferencia en sus parámetros reproductivos. El objetivo del presente trabajo es comparar la expresión génica en células de granulosa de folículos preovulatorios de estas dos especies, basados en información disponible en la literatura, los repositorios de transcriptomas existentes y en el análisis funcional usando Ingenuity Pathway Analysis. Sólo se encontraron dos estudios independientes en los que se comparan búfalos y vacunos en cuanto a la expresión génica en células de la granulosa de folículos preovulatorios. Se analizaron los datos de expresión de forma independiente y combinada. Se encontró que, entre búfalos y vacunos, prácticamente no hay correspondencia entre los procesos evaluados, ni en las vías canónicas, ni en los reguladores corriente arriba, solamente se encuentra alguna correspondencia entre las redes y aspectos fisiológicos de cada proceso. Se concluye que cada especie tiene forma diferente de realizar el mismo proceso y que debe investigarse cada evento de acuerdo con las necesidades de los investigadores.

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Expression of fibroblast growth factor 22 (FGF22) and its receptor, FGFR1B, during development and regression of bovine corpus luteum

Cited by 7 publications

References 28 publications

Detection and characterization of copy number variation in three differentially-selected Nellore cattle populations

Detection and characterization of copy number variation in three differentially-selected Nellore cattle populations

Identification of candidate genomic regions for thermogelled egg yolk traits based on a genome-wide association study

Análisis in silico de la expresión génica en células de granulosa de folículos preovulatorios en dos especies de bovinos

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