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dc.contributor.author
Rivera, Rocío Melissa  
dc.contributor.author
Goldkamp, Anna Katherine  
dc.contributor.author
Patel, Bhaumik Narendrabhai  
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Hagen, Darren Erich  
dc.contributor.author
Soto Moreno, Edgar Joel  
dc.contributor.author
Li, Yahan  
dc.contributor.author
Kim, Chris Nayoon  
dc.contributor.author
Miller, Cliff  
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Williams, Fred  
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Jannaman, Elizabeth  
dc.contributor.author
Xiao, Yao  
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Tribulo, Paula  
dc.contributor.author
Estrada-Cortés, Eliab  
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Brau Rodríguez, Astrid Roshealy  
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Hansen, Peter James  
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Wu, Zhoulin  
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Spinka, Christine Marie  
dc.contributor.author
Martin, Neal  
dc.contributor.author
Elsik, Christine G.  
dc.date.available
2023-11-15T19:02:51Z  
dc.date.issued
2022-12  
dc.identifier.citation
Rivera, Rocío Melissa; Goldkamp, Anna Katherine; Patel, Bhaumik Narendrabhai; Hagen, Darren Erich; Soto Moreno, Edgar Joel; et al.; Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses; Nature; Scientific Reports; 12; 1; 12-2022; 1-16  
dc.identifier.uri
http://hdl.handle.net/11336/218251  
dc.description.abstract
In vitro production (IVP) of embryos in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonography and/or maternal blood markers are useful to identify LOS. Bovine fetuses were generated by artificial insemination (control) or IVP. Fetal ultrasonographies were taken on gestation D55 (D55) and fetal collections performed on D56 or D105 (gestation in cattle ≈ D280). IVP fetuses weighing ≥ 97 percentile of the control weight were considered LOS. Ultrasonography results show that the product of six D55 measurements can be used to identify extreme cases of LOS. To determine whether maternal blood can be used to identify LOS, leukocyte mRNA from 23 females was sequenced. Unsupervised hierarchical clustering grouped the transcriptomes of the two females carrying the two largest LOS fetuses. Comparison of the leukocyte transcriptomes of these two females to the transcriptome of all other females identified several misregulated transcripts on gestation D55 and D105 with LOC783838 and PCDH1 being misregulated at both time-points. Together our data suggest that LOS is identifiable during pregnancy in cattle.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Nature  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
Large offspring  
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Maternal fetal communication  
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Transcriptome  
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Fetal development  
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Producción Animal y Lechería  
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Producción Animal y Lechería  
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CIENCIAS AGRÍCOLAS  
dc.title
Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-11-15T15:53:53Z  
dc.identifier.eissn
2045-2322  
dc.journal.volume
12  
dc.journal.number
1  
dc.journal.pagination
1-16  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Rivera, Rocío Melissa. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Goldkamp, Anna Katherine. Oklahoma State University; Estados Unidos  
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Fil: Patel, Bhaumik Narendrabhai. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Hagen, Darren Erich. Oklahoma State University; Estados Unidos  
dc.description.fil
Fil: Soto Moreno, Edgar Joel. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Li, Yahan. University of Missouri; Estados Unidos  
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Fil: Kim, Chris Nayoon. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Miller, Cliff. Green Hills Veterinary Clinic; Estados Unidos  
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Fil: Williams, Fred. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Jannaman, Elizabeth. University of Florida; Estados Unidos  
dc.description.fil
Fil: Xiao, Yao. University of Florida; Estados Unidos  
dc.description.fil
Fil: Tribulo, Paula. University of Florida; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Reproducción Animal; Argentina  
dc.description.fil
Fil: Estrada-Cortés, Eliab. University of Florida; Estados Unidos. Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias; México  
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Fil: Brau Rodríguez, Astrid Roshealy. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Hansen, Peter James. University of Florida; Estados Unidos  
dc.description.fil
Fil: Wu, Zhoulin. Chengdu University; China. University of Missouri; Estados Unidos  
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Fil: Spinka, Christine Marie. University of Missouri; Estados Unidos  
dc.description.fil
Fil: Martin, Neal. Martin Veterinary Services; Estados Unidos  
dc.description.fil
Fil: Elsik, Christine G.. University of Missouri; Estados Unidos  
dc.journal.title
Scientific Reports  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-022-14597-w  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-022-14597-w