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Article

Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests

1
Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany
2
Department of Animal Breeding and Genetics, University of Agriculture Faisalabad, 38000 Faisalabad, Pakistan
3
Center for Integrated Breeding Research (CiBreed), Albrecht-Thaer-Weg 3, Georg-August University, 37075 Göttingen, Germany
4
H&N International, 27472 Cuxhaven, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2020, 11(4), 464; https://doi.org/10.3390/genes11040464
Submission received: 16 March 2020 / Revised: 8 April 2020 / Accepted: 21 April 2020 / Published: 24 April 2020
(This article belongs to the Special Issue Genetics and Genomics Applied to Livestock Production)

Abstract

In today’s chicken egg industry, maintaining the strength of eggshells in longer laying cycles is pivotal for improving the persistency of egg laying. Eggshell development and mineralization underlie a complex regulatory interplay of various proteins and signaling cascades involving multiple organ systems. Understanding the regulatory mechanisms influencing this dynamic trait over time is imperative, yet scarce. To investigate the temporal changes in the signaling cascades, we considered eggshell strength at two different time points during the egg production cycle and studied the genotype–phenotype associations by employing the Random Forests algorithm on chicken genotypic data. For the analysis of corresponding genes, we adopted a well established systems biology approach to delineate gene regulatory pathways and master regulators underlying this important trait. Our results indicate that, while some of the master regulators (Slc22a1 and Sox11) and pathways are common at different laying stages of chicken, others (e.g., Scn11a, St8sia2, or the TGF- β pathway) represent age-specific functions. Overall, our results provide: (i) significant insights into age-specific and common molecular mechanisms underlying the regulation of eggshell strength; and (ii) new breeding targets to improve the eggshell quality during the later stages of the chicken production cycle.
Keywords: eggshell strength; chicken; Random Forests; feature selection; master regulators; over-represented pathways eggshell strength; chicken; Random Forests; feature selection; master regulators; over-represented pathways
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MDPI and ACS Style

Ramzan, F.; Klees, S.; Schmitt, A.O.; Cavero, D.; Gültas, M. Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests. Genes 2020, 11, 464. https://doi.org/10.3390/genes11040464

AMA Style

Ramzan F, Klees S, Schmitt AO, Cavero D, Gültas M. Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests. Genes. 2020; 11(4):464. https://doi.org/10.3390/genes11040464

Chicago/Turabian Style

Ramzan, Faisal, Selina Klees, Armin Otto Schmitt, David Cavero, and Mehmet Gültas. 2020. "Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests" Genes 11, no. 4: 464. https://doi.org/10.3390/genes11040464

APA Style

Ramzan, F., Klees, S., Schmitt, A. O., Cavero, D., & Gültas, M. (2020). Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests. Genes, 11(4), 464. https://doi.org/10.3390/genes11040464

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