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Reynolds LP, Dahlen CR, Ward AK, Crouse MS, Borowicz PP, Davila-Ruiz BJ, Kanjanaruch C, Bochantin KA, McLean KJ, McCarthy KL, Menezes ACB, Diniz WJS, Cushman RA, Caton JS. Role of the placenta in developmental programming: Observations from models using large animals. Anim Reprod Sci 2023; 257:107322. [PMID: 37696224 PMCID: PMC10591737 DOI: 10.1016/j.anireprosci.2023.107322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/14/2023] [Accepted: 08/23/2023] [Indexed: 09/13/2023]
Abstract
Developmental programming, which proposes that "insults" or "stressors" during intrauterine or postnatal development can have not only immediate but also long-term consequences for healthy and productivity, has emerged as a major biological principle, and based on studies in many animal species also seems to be a universal phenomenon. In eutherians, the placenta appears to be programmed during its development, which has consequences for fetal growth and development throughout pregnancy, and likewise has long-term consequences for postnatal development, leading to programming of organ function of the offspring even into adulthood. This review summarizes our current understanding of the placenta's role in developmental programming, the mechanisms involved, and the challenges remaining.
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Affiliation(s)
- L P Reynolds
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA.
| | - C R Dahlen
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - A K Ward
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - M S Crouse
- Nutrition, Growth, and Physiology Research Unit, USDA/Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166, USA
| | - P P Borowicz
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - B J Davila-Ruiz
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - C Kanjanaruch
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - K A Bochantin
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - K J McLean
- Department of Animal Science, University of Tennessee Knoxville, Knoxville, TN 37996-4500, USA
| | - K L McCarthy
- Department of Animal Science, University of Nebraska Lincoln, Lincoln, NE 68583-0908, USA
| | - A C B Menezes
- Department of Animal Science, South Dakota State University, Brookings, SD 57006, USA
| | - W J S Diniz
- Department of Animal Sciences, Auburn University, Auburn, AL 36832, USA
| | - R A Cushman
- Nutrition, Growth, and Physiology Research Unit, USDA/Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933-0166, USA
| | - J S Caton
- Center for Nutrition and Pregnancy, and Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
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Abstract
Technological advancements in recent years have promoted a marked progress in understanding the genetic basis of phenotypes. In line with these advances, genomics has changed the paradigm of biological questions in full genome-wide scale (genome-wide), revealing an explosion of data and opening up many possibilities. On the other hand, the vast amount of information that has been generated points the challenges that must be overcome for storage (Moore's law) and processing of biological information. In this context, bioinformatics and computational biology have sought to overcome such challenges. This review presents an overview of bioinformatics and its use in the analysis of biological data, exploring approaches, emerging methodologies, and tools that can give biological meaning to the data generated.
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Affiliation(s)
- W J S Diniz
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, SP, Brasil
| | - F Canduri
- Departamento de Química e Física Molecular, Instituto de Química de São Carlos, Universidade de São Paulo, São Carlos, SP, Brasil
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Oliveira PSN, Tizioto PC, Oliveira GB, Cesar ASM, Diniz WJS, Lima AOD, Reecy JM, Coutinho LL, Regitano LCA. 0340 Differentially expressed miRNAs in skeletal muscle related to feed efficiency in Nellore cattle. J Anim Sci 2016. [DOI: 10.2527/jam2016-0340] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Afonso J, Tizioto PC, Oliveira PSN, Diniz WJS, Lima AOD, Souza MMD, Rocha MIP, Silva JVD, Buss CE, Gromboni CF, Mourão GB, Nogueira AR, Coutinho LL, Regitano LCA. 0903 Differentially expressed genes in genetically divergent Nellore steers for calcium content in the Longissimus dorsi muscle. J Anim Sci 2016. [DOI: 10.2527/jam2016-0903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Oliveira PSN, Cesar ASM, Oliveira GB, Tizioto PC, Poleti MD, Diniz WJS, Lima AOD, Reecy JM, Coutinho LL, Regitano LCA. 0341 miRNAs related to fatty acids composition in Nellore cattle. J Anim Sci 2016. [DOI: 10.2527/jam2016-0341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Lima AOD, Oliveira PSN, Tizioto PC, Somavilla AL, Diniz WJS, Silva JVD, Andrade SCS, Boschiero C, Cesar ASM, Souza MM, Rocha MIP, Afonso J, Buss CE, Mudadu MA, Mourao GB, Coutinho LL, Regitano LCA. 0318 PRUNE2 gene has a potential effect on residual feed intake in Nellore cattle. J Anim Sci 2016. [DOI: 10.2527/jam2016-0318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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de Oliveira PSN, Tizioto PC, Malago W, do Nascimento ML, Cesar ASM, Diniz WJS, de Souza MM, Lanna DPD, Tullio RR, Mourão GB, de A Mudadu M, Coutinho LL, de A Regitano LC. A single nucleotide polymorphism in NEUROD1 is associated with production traits in Nelore beef cattle. Genet Mol Res 2016; 15:gmr8161. [PMID: 27420997 DOI: 10.4238/gmr.15028161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Feed efficiency and carcass characteristics are late-measured traits. The detection of molecular markers associated with them can help breeding programs to select animals early in life, and to predict breeding values with high accuracy. The objective of this study was to identify polymorphisms in the functional and positional candidate gene NEUROD1 (neurogenic differentiation 1), and investigate their associations with production traits in reference families of Nelore cattle. A total of 585 steers were used, from 34 sires chosen to represent the variability of this breed. By sequencing 14 animals with extreme residual feed intake (RFI) values, seven single nucleotide polymorphisms (SNPs) in NEUROD1 were identified. The investigation of marker effects on the target traits RFI, backfat thickness (BFT), ribeye area (REA), average body weight (ABW), and metabolic body weight (MBW) was performed with a mixed model using the restricted maximum likelihood method. SNP1062, which changes cytosine for guanine, had no significant association with RFI or REA. However, we found an additive effect on ABW (P ≤ 0.05) and MBW (P ≤ 0.05), with an estimated allele substitution effect of -1.59 and -0.93 kg0.75, respectively. A dominant effect of this SNP for BFT was also found (P ≤ 0.010). Our results are the first that identify NEUROD1 as a candidate that affects BFT, ABW, and MBW. Once confirmed, the inclusion of this SNP in dense panels may improve the accuracy of genomic selection for these traits in Nelore beef cattle as this SNP is not currently represented on SNP chips.
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Affiliation(s)
| | - P C Tizioto
- Embrapa Pecuária Sudeste, São Carlos, SP, Brasil
| | - W Malago
- Embrapa Pecuária Sudeste, São Carlos, SP, Brasil
| | - M L do Nascimento
- Departamento de Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | - A S M Cesar
- Departamento de Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | - W J S Diniz
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, SP, Brasil
| | - M M de Souza
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, SP, Brasil
| | - D P D Lanna
- Departamento de Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | - R R Tullio
- Embrapa Pecuária Sudeste, São Carlos, SP, Brasil
| | - G B Mourão
- Departamento de Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | | | - L L Coutinho
- Departamento de Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
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