Saulo Silva

Prof. Saulo Silva

University of Sao Paulo
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 February 2021 in Annual Review of Animal Biosciences
Verified
Journal Article
Closed access
SMSulaiman Matarneh
Sulaiman Matarneh
Saulo SilvaSaulo Silva
Saulo Silva
David GerrardDavid Gerrard
David Gerrard
Fresh meat quality is greatly determined through biochemical changes occurring in the muscle during its conversion to meat. These changes are key to imparting a unique set of characteristics on fresh meat, including its appearance, ability to retain moisture, and texture. Skeletal muscle is an extremely heterogeneous tissue composed of different types of fibers that have distinct contractile and metabolic properties. Fiber type composition determines the overall biochemical and functional properties of the muscle tissue and, subsequently, its quality as fresh meat. Therefore, changing muscle fiber profile in living animals through genetic selection or environmental factors has the potential to modulate fresh meat quality. We provide an overview of the biochemical processes responsible for the development of meat quality attributes and an overall understanding of the strong relationship between muscle fiber profile and meat quality in different meat species.

18 December 2015 in BMC Genomics
Verified
Journal Article
Open access
PDF file
PAPâmela Alexandre
Pâmela Alexandre
LKLisette J. A. Kogelman
Lisette J. A. Kogelman
Miguel HA SantanaMiguel HA Santana
Miguel HA Santana
DPDanielle Passarelli
Danielle Passarelli
LPLidia H. Pulz
Lidia H. Pulz
HFHeidge Fukumasu
Heidge Fukumasu
The selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify biological functions and regulatory genes associated with this phenotype. Eight genes were differentially expressed between high and low feed efficient animals (HFE and LFE, respectively). Co-expression analyses identified 34 gene modules of which 4 were strongly associated with FE traits. They were mainly enriched for inflammatory response or inflammation-related terms. We also identified 463 differentially co-expressed genes which were functionally enriched for immune response and lipid metabolism. A total of 8 key regulators of gene expression profiles affecting FE were found. The LFE animals had higher feed intake and increased subcutaneous and visceral fat deposition. In addition, LFE animals showed higher levels of serum cholesterol and liver injury biomarker GGT. Histopathology of the liver showed higher percentage of periportal inflammation with mononuclear infiltrate. Liver transcriptomic network analysis coupled with other results demonstrated that LFE animals present altered lipid metabolism and increased hepatic periportal lesions associated with an inflammatory response composed mainly by mononuclear cells. We are now focusing to identify the causes of increased liver lesions in LFE animals.

1 January 2014 in BMC Genetics
Verified
Journal Article
Open access
PDF file
Miguel HA SantanaMiguel HA Santana
Miguel HA Santana
YUYuri T Utsunomiya
Yuri T Utsunomiya
HNHaroldo Hr Neves
Haroldo Hr Neves
RGRodrigo da Costa Gomes
Rodrigo da Costa Gomes
JGJosé F Garcia
José F Garcia
José Bento Sterman FerrazJosé Bento Sterman Ferraz
José Bento Sterman Ferraz
Feed intake plays an important economic role in beef cattle, and is related with feed efficiency, weight gain and carcass traits. However, the phenotypes collected for dry matter intake and feed efficiency are scarce when compared with other measures such as weight gain and carcass traits. The use of genomic information can improve the power of inference of studies on these measures, identifying genomic regions that affect these phenotypes. This work performed the genome-wide association study (GWAS) for dry matter intake (DMI) and residual feed intake (RFI) of 720 Nellore cattle (Bos taurus indicus).

1 October 2015 in Meat Science
Verified
Journal Article
Closed access
JBJuliana Monteiro Balage
Juliana Monteiro Balage
Saulo SilvaSaulo Silva
Saulo Silva
CGCatarina Abdalla Gomide
Catarina Abdalla Gomide
MGMarina de Nadai Bonin Gomes
Marina de Nadai Bonin Gomes
AFAna Oliveira Lopes Figueira
Ana Oliveira Lopes Figueira


1 March 2020 in Meat Science
Verified
Journal Article
Closed access
AAA. Apaoblaza
A. Apaoblaza
SGS.D. Gerrard
S.D. Gerrard
SMSulaiman Matarneh
Sulaiman Matarneh
JWJ.C. Wicks
J.C. Wicks
LKL. Kirkpatrick
L. Kirkpatrick
David GerrardDavid Gerrard
David Gerrard