High vs. low egg cuticle quality
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB32460 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR3322700.fastq.gz | Fastqsanger.gz | |||
| ERR3322700_1.fastq.gz | Fastqsanger.gz | |||
| ERR3322700_2.fastq.gz | Fastqsanger.gz | |||
| ERR3322710.fastq.gz | Fastqsanger.gz | |||
| ERR3322710_1.fastq.gz | Fastqsanger.gz |
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Project description:NGS gene expression analysis in the shell gland of hens laying eggs differing in cuticle deposition
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Project description:The egg production cycle of broiler breeder hens is comparatively shorter than laying hens, and as they age, their egg production and eggshell quality decline. The eggshell formation occurs in the shell glands, which are influenced by several factors, including aging. The objectives of the study were to 1) identify differentially expressed genes (DEGs) and biological pathways in the shell glands (young vs aged) and 2) determine the age-associated changes in eggshell quality. The shell glands tissues were collected from broiler breeder hens at peak-lay (35 weeks of age; termed as “young”) and late-lay phases (50 weeks of age; termed as “aged”) (n=30/group) at 10-15 hours post-ovulation (unclassified egg present in the shell glands). To delineate the genes and biological pathways associated with eggshell biomineralization, total RNAs extracted from the shell glands of young and aged hens (n=6/group) were analyzed using RNA sequencing and validated using real-time PCR. The ultrastructure quality of eggshells (n=10 eggs/group) was analyzed using a Scanning Electron Microscope (SEM), and the elemental composition of eggshells was measured using SEM-Energy Dispersive Spectrometry, and their variability was confirmed by t-test in RStudio. Eggshell strength, thickness, palisade layer, and mammillary width were significantly higher in the young, while mammillary knobs were wider in aged hens (p<0.05). The sulfur and potassium levels in eggshells were higher in young hens than aged ones. Although the young group had a higher calcium concentration in the eggshells, the difference was statistically insignificant (p>0.05). RNA-Seq data identified highly upregulated genes specific to eggshell biomineralization, such as SPP1 (binds to hydroxyapatite), OTOP2 (maintains high conc. of cytosolic Ca2+), PKD2 (helps in releasing Ca2+), SLC22A15 (transports organic ions), and STAB2 (binds to gram-positive and gram-negative bacteria). The DEGs showed significant enrichment for biological pathways (SLC6A6, KCNK7, UCP3, SCNN1A, PKD2, OTOP2) associated with the transport of monoatomic and inorganic cations across the cell membrane, molecular functions related to the transport of potassium ions and the activity of monoatomic cation channels (KCNK7, PKD2, OTOP2), and the cellular components involved in the luminal side of the endoplasmic reticulum membrane (CALR, PKD2). These findings suggest that the aging process downregulates the transcriptomes of the shell glands, negatively impacting the transportation of ions required for eggshell formation, resulting in poor eggshell quality.
2025-05-12 | GSE296109 | GEO
Project description:Uterine transcriptome of hens laying hard or weak-shell eggs
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Project description:Ovaries transcriptomic profiling between of egg of three high number of laying eggs (HEN) and three low number of laying eggs (LEN) in Longyan Shan-ma duck at 71 weeks were sequenced using Illumina Hiseq 2500 technology.
2023-01-01 | GSE143651 | GEO
Project description:The aim of this study was to assess the impact of oocyte competence on subsequent fertility. Based on knowledge already accessible in mammals and on bioinformatics tools including the chicken genome sequence, we focused on the expression of genes involved in the processes of fertilization and of early embryo development. The study was performed using two complementary approaches: a descriptive study of standard laying hens and then a differential study performed with hens from experimental lines expressing broad variations of achieved fertility (approximately 20 per cent). A differential kinetic study is performed on INRA lines selected on the basis of their fertility potential in purpose of hopefully access gene markers of fertility performance. Keywords: oocyte competence, fertility
2008-03-01 | GSE10231 | GEO
Project description:We used a transcriptomic approach based on the comparison of the expression between the liver of sexually mature hens versus pre-laying pullets to better appreciate which hepatic proteases and antiproteases are specifically expressed in relation to vitellogenesis. Using a 20K chicken oligoarray corresponding to 12 595 different chicken genes, a total of 582 genes were shown to be over-expressed in the liver at sexual maturity of hens (1.2 to 67 fold- difference). Most of the top ten over-expressed genes are known components of egg yolk or of the perivitelline membrane. The combination of different bioinformatic tools reveals 12 proteases and 3 antiproteases amongst the over-expressed genes, including many predicted proteins with yet unknown functions.
2012-04-01 | GSE35595 | GEO
Project description:Purpose: With the advent of Next-generation sequencing (NGS), several novel genes/proteins and cellular pathways in wide variety of tissues has been discovered. The aim of this study are to perform uterine transcriptome profiling (RNA-seq) to determine differently expressed genes in laying and non-laying hens and to further validate the expression of candidate genes using real-time quantitative reverse transcription polymerase chain reaction (qRT–PCR) in laying, non-laying and molting hens. Methods: Uterine mRNA profiles of 35-60 weeks-old laying and non-laying hens, three each, were generated with NextSeq 500 sequencer in single-end mode with a read length of 1x76 bp. Raw sequencing reads were cleaned and trimmmed with Prinseq tool and good reads were aligned against the chicken reference gemone (Galgal 5.0) in Array Studio. Differential gene expression analysis was performed by the DESeq2 algorithm as implemented in Array Studio. The genes with at least two-fold change (FC) and Benjamini and Hochberg q-value < 0.05 were called differentially expressed. Results: Using an optimized data analysis workflow, we mapped about 32 million reads from layers and 28 million reads from non-layers to the chicken genome. A total of 19,152 gene transcripts were annotated from Ensembl alignment which represents 50.24% of the chicken genome assembly. Differential gene expression analysis showed 616 were differentially expressed between layer and non-layer hens. 229 DEGs were significantly up-regulated and 286 were significantly down-regulated in the laying hens when compared to the non-laying hens. Twelve candiate genes, linked to calcium remodeling, were identified by gene function analysis and validated using qPCR. MEPE, CALCB, OTOP2, STC2 and ATP2C2 were confirmed to be highly expressed in laying hens as compared to molting and non-laying hens. RNA-seq and qPCR data for relative gene expression were highly correlated (R2 =0.99). Conclusions: Our study reports the expression of four novel genes that are speculated to transport calcium ions across the uterine epithellium for eggshell mineralization. These genes can be used as quantitative basis of selecting hens with an improved eggshell quality.
2018-12-06 | GSE114103 | GEO
Project description:Purpose: With the advent of Next-generation sequencing (NGS), several novel genes/proteins and cellular pathways in wide varitey of tissues has discovered. The aim of this study are to perform transcriptome profiling (RNA-seq) of magnum to determine differently expressed genes in laying and non-laying hens and to further validate the expression of candidate genes using real-time quantitative reverse transcription polymerase chain reaction (qRT–PCR) in laying, non-laying and molting hens. Methods: Magnum mRNA profiles of 35-60 weeks-old laying and non-laying hens, three each, were generated with NextSeq 500 sequencer in single-end mode with a read length of 1x76 bp. Raw sequencing reads were cleaned and trimmmed with Prinseq tool and good reads were aligned against the chicken reference gemone (Galgal 5.0) in Array Studio. Differential gene expression analysis was performed by the DESeq2 algorithm as implemented in Array Studio. The genes with at least three-fold change (FC) and Benjamini and Hochberg q-value < 0.05 were called differentially expressed. Results: Using an optimized data analysis workflow, we mapped about 30.5 million reads from layers and 33.4 million reads from non-layers to the chicken genome. A total of 19,152 gene transcripts were annotated from Ensembl alignment which represents 50.24% of the chicken genome assembly. Differential gene expression analysis showed 540 were differentially expressed between layer and non-layer hens. 152 DEGs were significantly up-regulated and 388 were significantly down-regulated in the laying hens when compared to the non-laying hens. Conclusions: Our study reports the expression of several pre-discovered and many novel genes that may be involved in the transport of precurosor molecules for biosynthesis and secretion of the egg-white proteins in the magnum. These genes can be used as quantitative basis of selecting hens with an improved egg quality.
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Project description:Maternal investment directly shapes early developmental conditions and therefore has long-term fitness consequences for the offspring. In oviparous species prenatal maternal investment is fixed at the time of laying. To ensure the best survival chances for most of their offspring, females must equip their eggs with the resources required to perform well under various circumstances, yet the actual mechanisms remain unknown. Here we describe the blue tit egg albumen and yolk proteome and evaluate its potential to mediate maternal effects. We show that variation in egg composition (proteins, lipids, carotenoids) primarily depends on laying order, female age and paternity (within- versus extra-pair) and that the investment in the egg proteome is functionally biased among eggs. Our results suggest that maternal effects on egg composition result from both passive and active (partly compensatory) mechanisms, and that the between- and within-clutch variation in egg composition creates diverse biochemical environments for embryonic development.
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