Abstract:The purpose of this study was to detect expression of genes related to egg production in Taiwan Country chickens by suppression subtractive hybridization. Liver samples of mRNA extraction from two Taiwan Country chicken strains (L2 and B), originated from the same population but with very distinct egg production rates after long-term selection for egg and meat production respectively. Two-way subtraction was performed. The hepatic cDNA from the low egg production chickens (B) was subtracted from the hepatic cD… Show more
“…In this process, the hypothalamus produces gonadotropin-releasing hormone-I (GnRH-I) which triggers pituitary gland (adenohypophysis) to release FSH and LH, and stimulates the secretion of estradiol (E2) and progesterone (P4) in ovary while ovulation 19 . Hitherto, several studies have focused to uncover the molecular mechanism associated with egg production performance in chicken 10,20,21 . However, the differential gene expression and key pathways mediating the egg production process across hypothalamic-pituitary-ovarian (HPO) axis are yet to be uncovered.…”
The hypothalamic-pituitary-ovarian (HPO) axis regulates the breeding process cycle of laying hens. However, the key regulatory genes of the HPO axis and pathways that drive chicken egg laying performance remain elusive. A total of 856 Chinese Luhua chicken was raised and the highest two hundred and the lowest two hundred chicken egg production were considered as high egg production (HEP) and low egg production (LEP) according to the total egg number at 300 days of age, respectively. RNA-seq sequencing (RNA-Seq) was conducted to explore the chicken transcriptome from the hypothalamus, pituitary gland and ovary tissue of 6 Chinese Luhua chicken with 3 high and low-rate egg production. In total, 76.09 Gb RNA-seq sequences were generated from 15 libraries with an average of 5.07 Gb for each library. Further analysis showed that 414, 356 and 10 differentially expressed genes (DEGs) were identified in pituitary gland, ovary and hypothalamus between HEP and LEP chickens, respectively. In pituitary gland, DEGs were involve in regulation of cellular glucose homeostasis, Ras protein signal transduction, negative regulation of hormone secretion. In Ovary DEGs were mainly involved in embryonic organ development, regulation of canonical Wnt signaling, response to peptide hormone. Our study identified DEGs that regulate mTOR signaling pathway, Jak-STAT signaling pathway, Tryptophan metabolism and PI3K-Akt signaling pathways at HPO-axis in laying hens. These important data contribute to improve our understanding of reproductive biology of chicken and isolating effective molecular markers that can be used for genetic selection in Chinese domestic Luhua chicken. Traditional breeding strategies aimed to improve the chicken egg production are based on long term selection of egg number and laying rate, which are often laborious and time consuming 1. For practical breeding, quality chickens were primitively produced by indigenous chicken breeds, which are generally low egg production and slowly-growing with poor feed conversion. In certain regions of the world, there is a growing demand for slow-growing and colour-feathered quality chickens. Among them, the 'Label Rouge' in France and 'Three Yellow' in China are two famous examples. In terms of nutrition and management of chickens, rapid genetic selection can improve economic efficiency. Currently, the breeding for quality chickens in China is characterized with crossbreeding between native breeds and highly-selected lines with relatively high egg production or rapid growth rate.
“…In this process, the hypothalamus produces gonadotropin-releasing hormone-I (GnRH-I) which triggers pituitary gland (adenohypophysis) to release FSH and LH, and stimulates the secretion of estradiol (E2) and progesterone (P4) in ovary while ovulation 19 . Hitherto, several studies have focused to uncover the molecular mechanism associated with egg production performance in chicken 10,20,21 . However, the differential gene expression and key pathways mediating the egg production process across hypothalamic-pituitary-ovarian (HPO) axis are yet to be uncovered.…”
The hypothalamic-pituitary-ovarian (HPO) axis regulates the breeding process cycle of laying hens. However, the key regulatory genes of the HPO axis and pathways that drive chicken egg laying performance remain elusive. A total of 856 Chinese Luhua chicken was raised and the highest two hundred and the lowest two hundred chicken egg production were considered as high egg production (HEP) and low egg production (LEP) according to the total egg number at 300 days of age, respectively. RNA-seq sequencing (RNA-Seq) was conducted to explore the chicken transcriptome from the hypothalamus, pituitary gland and ovary tissue of 6 Chinese Luhua chicken with 3 high and low-rate egg production. In total, 76.09 Gb RNA-seq sequences were generated from 15 libraries with an average of 5.07 Gb for each library. Further analysis showed that 414, 356 and 10 differentially expressed genes (DEGs) were identified in pituitary gland, ovary and hypothalamus between HEP and LEP chickens, respectively. In pituitary gland, DEGs were involve in regulation of cellular glucose homeostasis, Ras protein signal transduction, negative regulation of hormone secretion. In Ovary DEGs were mainly involved in embryonic organ development, regulation of canonical Wnt signaling, response to peptide hormone. Our study identified DEGs that regulate mTOR signaling pathway, Jak-STAT signaling pathway, Tryptophan metabolism and PI3K-Akt signaling pathways at HPO-axis in laying hens. These important data contribute to improve our understanding of reproductive biology of chicken and isolating effective molecular markers that can be used for genetic selection in Chinese domestic Luhua chicken. Traditional breeding strategies aimed to improve the chicken egg production are based on long term selection of egg number and laying rate, which are often laborious and time consuming 1. For practical breeding, quality chickens were primitively produced by indigenous chicken breeds, which are generally low egg production and slowly-growing with poor feed conversion. In certain regions of the world, there is a growing demand for slow-growing and colour-feathered quality chickens. Among them, the 'Label Rouge' in France and 'Three Yellow' in China are two famous examples. In terms of nutrition and management of chickens, rapid genetic selection can improve economic efficiency. Currently, the breeding for quality chickens in China is characterized with crossbreeding between native breeds and highly-selected lines with relatively high egg production or rapid growth rate.
“…Choi et al (2006) identified two SNPs in the uncoupling protein gene which are associated with daily percent lay. Ding et al (2008) showed that the expression of apoB and PURH genes in liver changed after selection for egg production. In order to identify more DNA markers that are associated with egg production in chickens, the present study selected chicken BMPR-IB as a candidate gene to characterize its polymorphisms and analyze their associations with egg production.…”
Egg production traits are economically important both for egg-laying and broiler lines of chicken. In sheep, the Q249R mutation in BMPR-IB is associated with ovulation rate. The present study cloned a partial chicken BMPR-IB fragment which contained the corresponding ovine Q249R mutation, including partial exon 6 and exon 7 and full-length intron 6. Five nucleotide changes were identified by alignment of the fragment amplified from Jining Bairi and Zang chickens. Among these nucleotide substitutions, the C/T transition at the base position of 35 and the A/G transition at the base position of 287 were found to be highly polymorphic, and named as SNPs C35T and A287G, respectively. For the SNP C35T, 331 hens of a synthetic broiler line were genotyped by a PCR-SSCP approach and allele C was found to be dominant. For the SNP A287G, 604 birds from the synthetic broiler line, a commercial egg-laying line, as well as three Chinese indigenous chicken breeds were genotyped by a PCR-RFLP technique. The associations of these two SNPs with egg production traits in the broiler line were analyzed. The results indicated that both the C35T and the A287G SNPs were not associated with egg production at 33wks and from 33wks to 42 wks (p>0.1), whereas the SNP A287G was associated with egg production from 47 to 56 wks (p<0.05). The dominance genetic effects on this latter trait and on egg production from 33 to 42 wks were significant (p<0.05).
“…Management and feeding practices in the starter, grower and/or developer phases can alter the body weight gain, growth curve, early egg weight and sexual maturity of the pullets and consequently egg production. Furthermore, advances in genetic selection make today's pullets quite different from those of only a few years ago (Flock, 1998;Jackson, 2006;Ding et al, 2008). Therefore, information on feeding programs for egg-type pullets to point of lay is still required to today's or improved pullets achieve an adequate sexual maturity in terms of body size at first egg, weight of the first egg and days to first egg, and subsequently the production characteristics of laying hens (Zhong et al, 2007;Sungu, 2007).…”
In this study, canonical correlation analysis (CCA) was applied to estimate the relationship between three different sexual maturity traits (X set: days to first egg (DFE), weight of the first egg (WFE), body weight at first egg (BWFE)) and level of nutrient intake (Y set: energy (EI) and protein intake (PI)) or the egg production traits at two different periods (Z set: number of egg (NE 1 and NE T ) and weight of egg (WE 1 and WE T ) from 22 to 25 (W first ) and 22 to 33 wk of age (W all ), respectively), which were measured from 64 egg-type pullets (Isa Brown) manipulated for time of access to energy and protein sources to onset of egg production. Partial CCA (PCCA) was used to eliminate the contribution of differences in the levels of nutrient intake to canonical variables for X and Z sets at the first production period. Estimated canonical correlation coefficients between X set and Y set (0.429, p = 0.042), X set and Z set (0.390, p = 0.007 for W first ) and within Z set (between W first and W all ; 0.780, p<0.001), and partial canonical correlation coefficient between X set and Z set (0.415, p = 0.009) were significant. Canonical weights and loadings from CCA indicated that the BWFE had the largest contribution compared to the DFE and WFE to variation of egg number produced at two different periods. The results from PCCA indicated that the contribution of PI and EI to the degree of the correlation between canonical variables for X and Z sets were unfavourable. In conclusion, the effect of body weight at sexual maturity upon the availability of nutrients can have a higher contribution to variation of egg production in pullets if the contribution of differences in nutrient intakes to onset of egg production were eliminated.
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