Literature DB >> 30169713

Transcriptome changes provide genetic insights into the effects of rearing systems on chicken welfare and product quality.

Hai Xiang1,2, Siyu Chen2,3, Hui Zhang2, Xu Zhu2, Dan Wang2, Huagui Liu4, Jikun Wang5, Tao Yin2, Langqing Liu2, Minghua Kong2, Jian Zhang4, Hua Li1, Xingbo Zhao1,2.   

Abstract

Farm animals raised under free-range (FR) systems are assumed to have improved welfare and higher-quality products that are better to eat than intensively reared animals. However, the modulations are limited in scientific investigations. In this study, we compared 2 rearing systems (FR and cage) and their effects on chickens, including production performance, product quality, body condition, physiological indicators, and gene expression. By using a match-mismatch design in which each treatment was transferred to the other treatment during the last period of the experiment, we aimed to understand the influence of current and former rearing conditions and the ability of individuals to adapt to the current environment. The results indicated that the FR system led to better chicken welfare (e.g., gait score, feather condition, and physiological indicators, P < 0.05) and contributed to higher product quality (P < 0.05), although it resulted in poorer production performance (P < 0.05) and foot pad condition (P < 0.05) than that of the cage rearing system. Additionally, the FR system triggered a series of inner changes and genetic responses in chickens, such as the upregulation of calcium and GnRH signaling, actin and cytoskeleton regulations, immune functions, and developmental processes, and the downregulation of pathological regulations (q-value < 0.05 for all gene ontology terms and P < 0.05 for all Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways). In conclusion, rearing systems alter chicken gene expression patterns, which provide a genetic basis for the adaptability to rearing environments and ultimately affects chicken welfare and products.

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Year:  2018        PMID: 30169713      PMCID: PMC6247852          DOI: 10.1093/jas/sky314

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  31 in total

1.  The humoral immune response and the productivity of laying hens kept on the ground or in cages.

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2.  Keeping laying hens in furnished cages and an aviary housing system enhances their bone stability.

Authors:  M Leyendecker; H Hamann; J Hartung; J Kamphues; U Neumann; C Sürie; O Distl
Journal:  Br Poult Sci       Date:  2005-10       Impact factor: 2.095

3.  Limb bone strength and movement in laying hens from different housing systems.

Authors:  T G Knowles; D M Broom
Journal:  Vet Rec       Date:  1990-04-14       Impact factor: 2.695

4.  Fatty acid composition of meat and estimated indices of lipid metabolism in different poultry genotypes reared under organic system.

Authors:  A Dal Bosco; C Mugnai; S Ruggeri; S Mattioli; C Castellini
Journal:  Poult Sci       Date:  2012-08       Impact factor: 3.352

5.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

6.  High stocking density alters bone-related calcium and phosphorus metabolism by changing intestinal absorption in broiler chickens.

Authors:  Z W Sun; Q H Fan; X X Wang; Y M Guo; H J Wang; X Dong
Journal:  Poult Sci       Date:  2018-01-01       Impact factor: 3.352

7.  Different oxidative status and expression of calcium channel components in stress-induced dysfunctional chicken muscle.

Authors:  T Xing; X Zhao; P Wang; H Chen; X Xu; G Zhou
Journal:  J Anim Sci       Date:  2017-04       Impact factor: 3.159

8.  Comparison of meat quality characteristics and oxidative stability between conventional and free-range chickens.

Authors:  A Funaro; V Cardenia; M Petracci; S Rimini; M T Rodriguez-Estrada; C Cavani
Journal:  Poult Sci       Date:  2014-06       Impact factor: 3.352

9.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

10.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

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  3 in total

1.  Transcriptome changes underlie alterations in behavioral traits in different types of chicken.

Authors:  Siyu Chen; Chao Yan; Hai Xiang; Jinlong Xiao; Jian Liu; Hui Zhang; Jikun Wang; Hao Liu; Xiben Zhang; Maojun Ou; Zelin Chen; Weibo Li; Simon P Turner; Xingbo Zhao
Journal:  J Anim Sci       Date:  2020-06-01       Impact factor: 3.159

2.  Removal of roosters alters the domestic phenotype and microbial and genetic profile of hens.

Authors:  Hai Xiang; Siyu Chen; Hui Zhang; Xu Zhu; Dan Wang; Huagui Liu; Jikun Wang; Tao Yin; Langqing Liu; Minghua Kong; Jian Zhang; Hua Li; Simon Turner; Xingbo Zhao
Journal:  Sci China Life Sci       Date:  2021-02-04       Impact factor: 6.038

3.  Genome-wide transcriptome profiling reveals the mechanisms underlying muscle group-specific phenotypic changes under different raising systems in ducks.

Authors:  Shenqiang Hu; Lumin Cheng; Jiwen Wang; Liang Li; Hua He; Bo Hu; Xufang Ren; Jiwei Hu
Journal:  Poult Sci       Date:  2020-09-23       Impact factor: 3.352

  3 in total

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