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Understanding Transcriptomic and Serological Differences between Forced Molting and Natural Molting in Laying Hens.
- Source :
-
Genes [Genes (Basel)] 2021 Dec 29; Vol. 13 (1). Date of Electronic Publication: 2021 Dec 29. - Publication Year :
- 2021
-
Abstract
- Molting is natural adaptation to climate change in all birds, including chickens. Forced molting (FM) can rejuvenate and reactivate the reproductive potential of aged hens, but the effect of natural molting (NM) on older chickens is not clear. To explore why FM has a dramatically different effect on chickens compared with NM, the transcriptome analyses of the hypothalamus and ovary in forced molted and natural molted hens at two periods with feathers fallen and regrown were performed. Additionally, each experimental chicken was tested for serological indices. The results of serological indices showed that growth hormone, thyroid stimulating hormone, and thyroxine levels were significantly higher ( p < 0.05) in forced molted hens than in natural molted hens, and calcitonin concentrations were lower in the forced molted than in the natural molted hens. Furthermore, the transcriptomic analysis revealed a large number of genes related to disease resistance and anti-aging in the two different FM and NM periods. These regulatory genes and serological indices promote reproductive function during FM. This study systematically revealed the transcriptomic and serological differences between FM and NM, which could broaden our understanding of aging, rejuvenation, egg production, and welfare issues related to FM in chickens.
- Subjects :
- Aging
Animals
Avian Proteins genetics
Chickens
Feathers growth & development
Feathers metabolism
Female
Gene Expression Profiling
Hypothalamus growth & development
Ovary growth & development
Avian Proteins metabolism
Gene Expression Regulation, Developmental
Hormones blood
Hypothalamus metabolism
Molting physiology
Ovary metabolism
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 2073-4425
- Volume :
- 13
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Genes
- Publication Type :
- Academic Journal
- Accession number :
- 35052428
- Full Text :
- https://doi.org/10.3390/genes13010089