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Zhu Y, Hamill RM, Mullen AM, Kelly AL, Gagaoua M. Molecular mechanisms contributing to the development of beef sensory texture and flavour traits and related biomarkers: Insights from early post-mortem muscle using label-free proteomics. J Proteomics 2023; 286:104953. [PMID: 37390894 DOI: 10.1016/j.jprot.2023.104953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/12/2023] [Accepted: 06/14/2023] [Indexed: 07/02/2023]
Abstract
Beef sensory quality comprises a suite of traits, each of which manifests its ultimate phenotype through interaction of muscle physiology with environment, both in vivo and post-mortem. Understanding variability in meat quality remains a persistent challenge, but omics studies to uncover biological connections between natural variability in proteome and phenotype could provide validation for exploratory studies and offer new insights. Multivariate analysis of proteome and meat quality data from Longissimus thoracis et lumborum muscle samples taken early post-mortem from 34 Limousin-sired bulls was conducted. Using for the first-time label-free shotgun proteomics combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS), 85 proteins were found to be related with tenderness, chewiness, stringiness and flavour sensory traits. The putative biomarkers were classified in five interconnected biological pathways; i) muscle contraction, ii) energy metabolism, iii) heat shock proteins, iv) oxidative stress, v) regulation of cellular processes and binding. Among the proteins, PHKA1 and STBD1 correlated with all four traits, as did the GO biological process 'generation of precursor metabolites and energy'. Optimal regression models explained a high level (58-71%) of phenotypic variability with proteomic data for each quality trait. The results of this study propose several regression equations and biomarkers to explain the variability of multiple beef eating quality traits. Thanks to annotation and network analyses, they further suggest protein interactions and mechanisms underpinning the physiological processes regulating these key quality traits. SIGNIFICANCE: The proteomic profiles of animals with divergent quality profiles have been compared in numerous studies; however, a wide range of phenotypic variation is required to better understand the mechanisms underpinning the complex biological pathways correlated with beef quality and protein interactions. We used multivariate regression analyses and bioinformatics to analyse shotgun proteomics data to decipher the molecular signatures involved in beef texture and flavour variations with a focus on multiple quality traits. We developed multiple regression equations to explain beef texture and flavour. Additionally, potential candidate biomarkers correlated with multiple beef quality traits are suggested, which could have utility as indicators of beef overall sensory quality. This study explained the biological process responsible for determining key quality traits such as tenderness, chewiness, stringiness, and flavour in beef, which will provide support for future beef proteomics studies.
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Affiliation(s)
- Yao Zhu
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, D15KN3K Dublin 15, Ireland; School of Food and Nutritional Sciences, University College Cork, Cork T12 K8AF, Ireland
| | - Ruth M Hamill
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, D15KN3K Dublin 15, Ireland.
| | - Anne Maria Mullen
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, D15KN3K Dublin 15, Ireland
| | - Alan L Kelly
- School of Food and Nutritional Sciences, University College Cork, Cork T12 K8AF, Ireland
| | - Mohammed Gagaoua
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, D15KN3K Dublin 15, Ireland; PEGASE, INRAE, Institut Agro, 35590 Saint-Gilles, France.
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Lamri M, Della Malva A, Djenane D, Albenzio M, Gagaoua M. First insights into the dynamic protein changes in goat Semitendinosus muscle during the post-mortem period using high-throughput proteomics. Meat Sci 2023; 202:109207. [PMID: 37150067 DOI: 10.1016/j.meatsci.2023.109207] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/02/2023] [Accepted: 04/26/2023] [Indexed: 05/09/2023]
Abstract
Proteomics plays a key and insightful role in meat research in the post-genomic era. This study aimed to unveil using a shotgun proteomics approach the temporal dynamic changes in early post-mortem proteome of goat Semitendinosus muscle. Therefore, the evolution and comparison of the muscle proteome over three post-mortem times (1, 8, and 24 h) was assessed. The temporal proteomics profiling quantified 748 proteins, from which 174 were differentially abundant (DAPs): n = 55 between 1 h versus 8 h, n = 52 between 8 h versus 24 h, and n = 154 between 1 h versus 24 h. The DAPs belong to myriad interconnected pathways. Binding, transport and calcium homeostasis, as well as muscle contraction and structure, exhibited an equivalent contribution during post-mortem, demonstrating their central role. Catalytic, metabolism and ATP metabolic process, and proteolysis were active pathways from the first hours of animal bleeding. Conversely, oxidative stress, response to hypoxia and cell redox homeostasis along chaperones and heat shock proteins accounted for the large proportion of the biochemical processes, more importantly after 8 h post-mortem. Overall, the conversion of muscle into meat is largely orchestrated by energy production as well as mitochondrial metabolism and homeostasis through calcium and permeability transition regulation. The study further evidenced the role of ribosomal proteins in goat post-mortem muscle, signifying that several proteins experiencing changes during storage, also undergo splicing modifications, which is for instance a mechanism known for mitochondrial proteins. Overall, temporal proteomics profiling of early post-mortem muscle proteome offers an unparalleled view of the sophisticated post-mortem biochemical and proteolytic events associated with goat meat quality determination.
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Affiliation(s)
- Melisa Lamri
- Laboratoire de Qualité et Sécurité des Aliments, Université Mouloud Mammeri, Tizi-Ouzou 15000, Algeria
| | - Antonella Della Malva
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, 71121 Foggia, Italy
| | - Djamel Djenane
- Laboratoire de Qualité et Sécurité des Aliments, Université Mouloud Mammeri, Tizi-Ouzou 15000, Algeria
| | - Marzia Albenzio
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, 71121 Foggia, Italy
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Lizano-Fallas V, Carrasco del Amor A, Cristobal S. Prediction of Molecular Initiating Events for Adverse Outcome Pathways Using High-Throughput Identification of Chemical Targets. TOXICS 2023; 11:189. [PMID: 36851063 PMCID: PMC9965981 DOI: 10.3390/toxics11020189] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
The impact of exposure to multiple chemicals raises concerns for human and environmental health. The adverse outcome pathway method offers a framework to support mechanism-based assessment in environmental health starting by describing which mechanisms are triggered upon interaction with different stressors. The identification of the molecular initiating event and the molecular interaction between a chemical and a protein target is still a challenge for the development of adverse outcome pathways. The cellular response to chemical exposure studied with omics could not directly identify the protein targets. However, recent mass spectrometry-based methods are offering a proteome-wide identification of protein targets interacting with s but unrevealing a molecular initiating event from a set of targets is still dependent on available knowledge. Here, we directly coupled the target identification findings from the proteome integral solubility alteration assay with an analytical hierarchy process for the prediction of a prioritized molecular initiating event. We demonstrate the applicability of this combination of methodologies with a test compound (TCDD), and it could be further studied and integrated into AOPs. From the eight protein targets identified by the proteome integral solubility alteration assay after analyzing 2824 human hepatic proteins, the analytical hierarchy process can select the most suitable protein for an AOP. Our combined method solves the missing links between high-throughput target identification and prediction of the molecular initiating event. We anticipate its utility to decipher new molecular initiating events and support more sustainable methodologies to gain time and resources in chemical assessment.
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Affiliation(s)
- Veronica Lizano-Fallas
- Department of Biomedical and Clinical Sciences, Cell Biology, Faculty of Medicine, Linköping University, 581 85 Linköping, Sweden
| | - Ana Carrasco del Amor
- Department of Biomedical and Clinical Sciences, Cell Biology, Faculty of Medicine, Linköping University, 581 85 Linköping, Sweden
| | - Susana Cristobal
- Department of Biomedical and Clinical Sciences, Cell Biology, Faculty of Medicine, Linköping University, 581 85 Linköping, Sweden
- Ikerbasque, Basque Foundation for Sciences, Department of Physiology, Faculty of Medicine, and Nursing, University of the Basque Country (UPV/EHU), 489 40 Leioa, Spain
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Application of proteomic to investigate the different degrees of meat tenderness in Nellore breed. J Proteomics 2021; 248:104331. [PMID: 34303863 DOI: 10.1016/j.jprot.2021.104331] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 06/02/2021] [Accepted: 07/11/2021] [Indexed: 12/23/2022]
Abstract
This study describes the association between meat tenderness and abundance of soluble muscle proteins in Nellore bulls (Bos indicus) using a proteomic approach. We evaluated shear force (SF) of Longissimus thoracis muscle 24 h after slaughter and selected three experimental groups of animals with moderately tender (TE; SF = 3.9 ± 0.7 kg), moderately tough (TO; SF = 5.6 ± 0.7 kg) and very tough meat (TO+; SF = 7.9 ± 1.4 kg). Proteome was investigated by two-dimensional electrophoresis (2D-PAGE) in combination with electrospray ionization-tandem mass spectrometry (ESI-MS/MS). The metabolic proteins triosephosphate isomerase (TPI1) and phosphoglucomutase 1 (PGM1), the structural protein profilin 1 (PFN1), and cytosol aminopeptidase (LAP3) were up-regulated (P < 0.05) in the TE meat group when compared to the TO and TO+ groups. Actin structural proteins (ACTA1, ACTB, and ACTG1), the oxidative stress protein peroxiredoxin (PRDX6, PRDX2, PRDX1, and PARK7), heat shock protein isoforms, and co-chaperones (CDC37 and STIP1) were up-regulated (P < 0.05) in the TO and TO+ meat groups. In addition, we also identified proteins PFN1, LAP3, PRDX1, PRDX2, HSPD1, and ARHGDIA to be associated with beef tenderness. The results reported herein demonstrated that meat tenderness in Nellore cattle depends on the modulation and expression of a set of proteins involved in different biological pathways. SIGNIFICANCE: The manuscript entitled "Application of proteomic to investigate the different degrees of meat tenderness in Nellore breed" describes a classical proteomics work using two-dimensional gel electrophoresis (2D-PAGE), followed by mass spectrometry coupled to electrospray ionization ion trap (ESI-MS/MS) in order to understand the biochemical engineering involved in the process of meat tenderness. We evaluated shear force (SF) of Longissimus thoracis muscle samples of Nellore cattle (n = 90) and select three experimental groups of animals with moderately tender (TE; SF = 3.9 ± 0.7), moderately tough (TO; SF = 5.6 ± 0.7) and very tough meat (TO+; SF = 7.9 ± 1.4). The proteomic approach allowed observing that meat tenderness is influenced by structural proteins (ACTA1, ACTG1, ACTB, MYL1 and PFN1), co-chaperones (CDC37 and STIP1), heat shock proteins (HSP90AA1, HSP90AB1, HSPD1, HSPA1L, HSPA1A and HSPB1), regulatory protein (ARHGDIA), metabolic proteins (TPI1 and PGM1) and oxidative stress proteins (PRDX1, PRDX2, PRDX6, PARK7). Our results suggest that meat tenderness in Nellore depends on the modulation and expression of a set of proteins involved in different biological pathways.
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Briggs RK, Christensen RC, Quarnberg SM, Legako JF, Raymond RC, MacNeil MD, Thornton KJ. Relationship Between Meat Quality, Carcass Characteristics, and Protein Abundance of HSPβ1, HSPA, and DJ1 in Beef Longissimus thoracis Pre-Rigor or After 14 Days’ Aging. MEAT AND MUSCLE BIOLOGY 2021. [DOI: 10.22175/mmb.11685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
This study evaluated associations of heat shock proteins (HSP) and an oxidative stress protein, protein deglycase (DJ1), with beef quality and tenderness. Samples from the longissimus thoracis (N = 99) were collected pre-rigor (day 0) and after 14-d aging. Warner-Bratzler shear force (WBSF), myofibrillar fragmentation index (MFI), and a trained sensory panel were used to determine meat quality. Protein abundance of DJ1 and 2 HSP—HSPβ1 and HSPA—were assessed. Regression analyses demonstrated that DJ1 abundance after 14 d of aging is a predictor of WBSF (P < 0.001), MFI (P = 0.02), and sensory panel tenderness (P < 0.001). Abundance of HSPβ1 after 14 d of aging is also a predictor of MFI (P = 0.03). Additionally, abundance of both HSPβ1 and DJ1 pre-rigor are predictors of juiciness (P < 0.05). Abundance of HSPβ1 pre-rigor was correlated with WBSF (R = 0.67), sensory panel tenderness (R = −0.44), juiciness (R = −0.30), and umami (R = −0.20). Abundance of DJ1 pre-rigor was also correlated with WBSF (R = 0.72), sensory panel tenderness (R = −0.44), juiciness (R = − 0.24), and umami (R = −0.31). After 14-d aging, HSP β 1 abundance was cor- related with WBSF (R = 0.66), sensory panel tenderness (R = −0.34), juiciness (R = −0.34), umami (R = −0.33), and brown/ roasted (R = −0.30). Abundance of DJ1 after 14-d aging was also correlated with WBSF (R = 0.68), sensory panel tenderness (R = −0.41), juiciness (R = −0.21), and umami (R = −0.28). These results demonstrate that abundance of HSPβ1 and DJ1 both pre-rigor and after 14 d of aging are correlated with meat tenderness and end-product quality as assessed by a trained sensory panel. Regression analyses further reveal that abundance of DJ1 and HSPβ1 after 14 d of aging is causative in development of beef tenderness and juiciness, respectively. Taken together, these results suggest that abundance of DJ1 is a predictor of tenderness, whereas abundance of HSPβ1 is related to meat quality but cannot be used to predict tenderness.
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Affiliation(s)
- Reganne K. Briggs
- Utah State University Department of Animal, Dairy and Veterinary Sciences
| | | | | | | | | | | | - Kara J. Thornton
- Utah State University Department of Animal, Dairy and Veterinary Sciences
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Zhu Y, Gagaoua M, Mullen AM, Viala D, Rai DK, Kelly AL, Sheehan D, Hamill RM. Shotgun proteomics for the preliminary identification of biomarkers of beef sensory tenderness, juiciness and chewiness from plasma and muscle of young Limousin-sired bulls. Meat Sci 2021; 176:108488. [DOI: 10.1016/j.meatsci.2021.108488] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 02/27/2021] [Accepted: 03/02/2021] [Indexed: 12/22/2022]
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Gagaoua M, Troy D, Mullen AM. The Extent and Rate of the Appearance of the Major 110 and 30 kDa Proteolytic Fragments during Post-Mortem Aging of Beef Depend on the Glycolysing Rate of the Muscle and Aging Time: An LC-MS/MS Approach to Decipher Their Proteome and Associated Pathways. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:602-614. [PMID: 33377770 DOI: 10.1021/acs.jafc.0c06485] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Post-mortem (p-m) muscle undergoes a myriad of complex physical and biochemical changes prior to its conversion to meat, which are influential on proteolysis and hence tenderization. A more in-depth understanding of the mechanisms underpinning these dynamics is a key to consistently providing tender beef. Using an LC-MS/MS approach, with state-of-art mass spectrometry Q Exactive HF-X, the proteome and associated pathways contributing to the appearance of the proteolytic breakdown products appearing over 14 days p-m, at two important molecular weights (110 and 30 kDa) on 1D SDS-PAGE gels, have been investigated in beef longissimus thoracis et lumborum muscles exhibiting four rates of pH decline differentiated on the basis of time at pH 6 (fast glycolysing, <3 h; medium, 3-5 h; slow, 5-8 h; and very slow, 8+ h). Both 110 and 30 kDa bands appeared during aging and increased in intensity as a function of p-m time in a pH decline-dependent manner. The 110 kDa band appeared as early as 3 h p-m and displayed an incremental increase in all groups through to 14 days p-m. From 2 days p-m, this increase in abundance during aging was significantly (P < 0.001) influenced by the glycolytic rate: fast > or = medium > slow > very slow. The day 2 p-m appearance of the 30 kDa band was most evident for the fast glycolysing muscle with little or no evidence of appearance in slow and very slow. For days 7 and 14 p-m, the strength of appearance was dependent on glycolysing groups fast > medium > or = slow > very slow. LC-MS/MS analysis yielded a total of 22 unique proteins for the 110 kDa fragment and 13 for the 30 kDa, with 4 common proteins related to both the actin and fibrinogen complex. The Gene Ontology analysis revealed that a myriad of biological pathways are influential with many related to proteins involved primarily in muscle contraction and structure. Other pathways of interest include energy metabolism, apoptotic mitochondrial changes, calcium and ion transport, and so on. Interestingly, most of the proteins composing the fragments were so far identified as biomarkers of beef tenderness and other quality traits.
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Affiliation(s)
- Mohammed Gagaoua
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Declan Troy
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Anne Maria Mullen
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
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Purslow PP, Gagaoua M, Warner RD. Insights on meat quality from combining traditional studies and proteomics. Meat Sci 2020; 174:108423. [PMID: 33422773 DOI: 10.1016/j.meatsci.2020.108423] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/23/2020] [Accepted: 12/28/2020] [Indexed: 12/16/2022]
Abstract
Following a century of major discoveries on the mechanisms determining meat colour and tenderness using traditional scientific methods, further research into complex and interactive factors contributing to variations in meat quality is increasingly being based on data-driven "omics" approaches such as proteomics. Using two recent meta-analyses of proteomics studies on beef colour and tenderness, this review examines how knowledge of the mechanisms and factors underlying variations in these meat qualities can be both confirmed and extended by data-driven approaches. While proteomics seems to overlook some sources of variations in beef toughness, it highlights the role of post-mortem energy metabolism in setting the conditions for development of meat colour and tenderness, and also points to the complex interplay of energy metabolism, calcium regulation and mitochondrial metabolism. In using proteomics as a future tool for explaining variations in meat quality, the need for confirmation by further hypothesis-driven experimental studies of post-hoc explanations of why certain proteins are biomarkers of beef quality in data-driven studies is emphasised.
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Affiliation(s)
- Peter P Purslow
- Tandil Centre for Veterinary Investigation (CIVETAN), National University of Central Buenos Aires Province, Tandil B7001BBO, Argentina; School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia.
| | - Mohammed Gagaoua
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Robyn D Warner
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia
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Gagaoua M, Bonnet M, Picard B. Protein Array-Based Approach to Evaluate Biomarkers of Beef Tenderness and Marbling in Cows: Understanding of the Underlying Mechanisms and Prediction. Foods 2020; 9:foods9091180. [PMID: 32858893 PMCID: PMC7554754 DOI: 10.3390/foods9091180] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 12/14/2022] Open
Abstract
This study evaluated the potential of a panel of 20 protein biomarkers, quantified by Reverse Phase Protein Array (RPPA), to explain and predict two important meat quality traits, these being beef tenderness assessed by Warner-Bratzler shear force (WBSF) and the intramuscular fat (IMF) content (also termed marbling), in a large database of 188 Protected Designation of Origin (PDO) Maine-Anjou cows. Thus, the main objective was to move forward in the progression of biomarker-discovery for beef qualities by evaluating, at the same time for the two quality traits, a list of candidate proteins so far identified by proteomics and belonging to five interconnected biological pathways: (i) energy metabolic enzymes, (ii) heat shock proteins (HSPs), (iii) oxidative stress, (iv) structural proteins and (v) cell death and protein binding. Therefore, three statistical approaches were applied, these being Pearson correlations, unsupervised learning for the clustering of WBSF and IMF into quality classes, and Partial Least Squares regressions (PLS-R) to relate the phenotypes with the 20 biomarkers. Irrespective of the statistical method and quality trait, seven biomarkers were related with both WBSF and IMF, including three small HSPs (CRYAB, HSP20 and HSP27), two metabolic enzymes from the oxidative pathway (MDH1: Malate dehydrogenase and ALDH1A1: Retinal dehydrogenase 1), the structural protein MYH1 (Myosin heavy chain-IIx) and the multifunctional protein FHL1 (four and a half LIM domains 1). Further, three more proteins were retained for tenderness whatever the statistical method, among which two were structural proteins (MYL1: Myosin light chain 1/3 and TNNT1: Troponin T, slow skeletal muscle) and one was glycolytic enzyme (ENO3: β-enolase 3). For IMF, two proteins were, in this trial, specific for marbling whatever the statistical method: TRIM72 (Tripartite motif protein 72, negative) and PRDX6 (Peroxiredoxin 6, positive). From the 20 proteins, this trial allowed us to qualify 10 and 9 proteins respectively as strongly related with beef tenderness and marbling in PDO Maine-Anjou cows.
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Bonnet M, Soulat J, Bons J, Léger S, De Koning L, Carapito C, Picard B. Quantification of biomarkers for beef meat qualities using a combination of Parallel Reaction Monitoring- and antibody-based proteomics. Food Chem 2020; 317:126376. [DOI: 10.1016/j.foodchem.2020.126376] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 01/31/2020] [Accepted: 02/08/2020] [Indexed: 12/24/2022]
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Picard B, Gagaoua M. Meta-proteomics for the discovery of protein biomarkers of beef tenderness: An overview of integrated studies. Food Res Int 2020; 127:108739. [DOI: 10.1016/j.foodres.2019.108739] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 09/29/2019] [Accepted: 10/02/2019] [Indexed: 01/14/2023]
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12
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One-step recovery of latex papain from Carica papaya using three phase partitioning and its use as milk-clotting and meat-tenderizing agent. Int J Biol Macromol 2019; 146:798-810. [PMID: 31726142 DOI: 10.1016/j.ijbiomac.2019.10.048] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/02/2019] [Accepted: 10/04/2019] [Indexed: 01/29/2023]
Abstract
Three Phase Partitioning (TPP) system as an elegant non-chromatographic and bulk separation method was successfully applied for the extraction and recovery of papain from the latex of Carica papaya. The optimized parameters of TPP allowed achieving a purification fold of 11.45 and activity recovery of 134% with 40% (NH4)2SO4, 1.0:0.75 ratio of crude extract: t-BuOH at pH and temperature of 6.0 and 25 °C, respectively. The recovered papain had a molecular weight of 23.2 kDa and revealed maximum activity at pH 6.0 and temperature of 50 °C. The maximum values of Km and Vmax parameters were 10.83 mg mL-1 and 33.33 U mL-1, respectively. The protease with 4 isoforms was stable at 40-80 °C and a pH range of 6.0-7.5 against numerous metal ions and none of them inactivated the recovered protease. Moreover, 10 mM Ca2+ improved 2-folds the activity and half-life of the protease at temperatures from 30 to 50 °C. The milk-clotting activity tests revealed high stability of latex papain at storage, namely at -20 °C compared to 4 °C and 25 °C for up than 5 weeks. As a meat tenderizing agent, it showed promising role under different treatments by improving the texture of tough meat. The findings indicated that one-step TPP system is a simple, quick, economical and very attractive process for fast recovery of latex papain compared to other proposed protocols.
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13
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Carvalho EB, Gionbelli MP, Rodrigues RTS, Bonilha SFM, Newbold CJ, Guimarães SEF, Silva W, Verardo LL, Silva FF, Detmann E, Duarte MS. Differentially expressed mRNAs, proteins and miRNAs associated to energy metabolism in skeletal muscle of beef cattle identified for low and high residual feed intake. BMC Genomics 2019; 20:501. [PMID: 31208329 PMCID: PMC6580615 DOI: 10.1186/s12864-019-5890-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 06/07/2019] [Indexed: 12/19/2022] Open
Abstract
Background Feed efficiency is one of the most important parameters that affect beef production costs. The energy metabolism of skeletal muscle greatly contributes to variations in feed efficiency. However, information regarding differences in proteins involved in the energy metabolism of the skeletal muscle in beef cattle divergently identified for feed efficiency is scarce. In this study, we aimed to investigate energy metabolism of skeletal muscle of Nellore beef cattle, identified for low and high residual feed intake using a proteomics approach. We further assessed the expression of candidate microRNAs as a one of the possible mechanisms controlling the biosynthesis of the proteins involved in energy metabolism that were differentially abundant between high and low residual feed intake animals. Results A greater abundance of 14–3-3 protein epsilon (P = 0.01) was observed in skeletal muscle of residual feed intake (RFI) high animals (RFI-High). Conversely, a greater abundance of Heat Shock Protein Beta 1 (P < 0.01) was observed in the skeletal muscle of RFI-Low cattle. A greater mRNA expression of YWHAE, which encodes the 14–3-3 protein epsilon, was also observed in the skeletal muscle of RFI-High animals (P = 0.01). A lower mRNA expression of HSPB1, which encodes the Heat Shock Protein Beta 1, was observed in the skeletal muscle of RFI-High animals (P = 0.01). The miR-665 was identified as a potential regulator of the 14–3-3 protein epsilon, and its expression was greater in RFI-Low animals (P < .001). A greater expression of miR-34a (P = 0.01) and miR-2899 (P < .001) was observed in the skeletal muscle of RFI-High animals, as both miRNAs were identified as potential regulators of HSPB1 expression. Conclusion Our results show that Nellore cattle divergently identified for feed efficiency by RFI present changes in the abundance of proteins involved in energy expenditure in skeletal muscle. Moreover, our data point towards that miR-665, miR34a and miR-2899 are likely involved in controlling both 14-3-3 epsilon and HSPB1 proteins identified as differentially abundant in the skeletal muscle of RFI-High and RFI-Low Nellore cattle. Electronic supplementary material The online version of this article (10.1186/s12864-019-5890-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Elisa B Carvalho
- Department of Animal Science, Universidade Federal de Lavras, Lavras, MG, Brazil.,Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Mateus P Gionbelli
- Department of Animal Science, Universidade Federal de Lavras, Lavras, MG, Brazil
| | - Rafael T S Rodrigues
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.,Department of Veterinary Sciences, Universidade Federal do Vale do São Francisco, Petrolina, PE, Brazil
| | - Sarah F M Bonilha
- Centro APTA Bovinos de Corte, Instituto de Zootecnia, Sertãozinho, SP, Brazil
| | | | - Simone E F Guimarães
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Walmir Silva
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Lucas L Verardo
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, MG, Brazil
| | - Fabyano F Silva
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Edenio Detmann
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Marcio S Duarte
- Department of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
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14
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What if? Mouse proteomics after gene inactivation. J Proteomics 2019; 199:102-122. [DOI: 10.1016/j.jprot.2019.03.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 03/09/2019] [Accepted: 03/10/2019] [Indexed: 12/17/2022]
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15
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Influence of oxidative damage to proteins on meat tenderness using a proteomics approach. Meat Sci 2019; 148:64-71. [DOI: 10.1016/j.meatsci.2018.08.016] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 08/22/2018] [Accepted: 08/23/2018] [Indexed: 12/29/2022]
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16
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Oliván M, González J, Bassols A, Díaz F, Carreras R, Mainau E, Arroyo L, Peña R, Potes Y, Coto-Montes A, Hollung K, Velarde A. Effect of sex and RYR1 gene mutation on the muscle proteomic profile and main physiological biomarkers in pigs at slaughter. Meat Sci 2018; 141:81-90. [DOI: 10.1016/j.meatsci.2018.03.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 03/21/2018] [Accepted: 03/22/2018] [Indexed: 12/21/2022]
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Picard B, Gagaoua M, Al-Jammas M, De Koning L, Valais A, Bonnet M. Beef tenderness and intramuscular fat proteomic biomarkers: muscle type effect. PeerJ 2018; 6:e4891. [PMID: 29892502 PMCID: PMC5994332 DOI: 10.7717/peerj.4891] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 05/14/2018] [Indexed: 12/22/2022] Open
Abstract
Tenderness and intramuscular fat content are key attributes for beef sensory qualities. Recently some proteomic analysis revealed several proteins which are considered as good biomarkers of these quality traits. This study focuses on the analysis of 20 of these proteins representative of several biological functions: muscle structure and ultrastructure, muscle energetic metabolism, cellular stress and apoptosis. The relative abundance of the proteins was measured by Reverse Phase Protein Array (RPPA) in five muscles known to have different tenderness and intramuscular lipid contents: Longissimus thoracis (LT), Semimembranosus (SM), Rectus abdominis (RA), Triceps brachii (TB) and Semitendinosus (ST). The main results showed a muscle type effect on 16 among the 20 analyzed proteins. They revealed differences in protein abundance depending on the contractile and metabolic properties of the muscles. The RA muscle was the most different by 11 proteins differentially abundant comparatively to the four other muscles. Among these 11 proteins, six were less abundant namely enolase 3 (ENO3), phosphoglucomutase 1 (PGK1), aldolase (ALDOA), myosin heavy chain IIX (MyHC-IIX), fast myosin light chain 1 (MLC1F), triosephosphate isomerase 1 (TPI1) and five more abundant: Heat shock protein (HSP27, HSP70-1A1, αB-crystallin (CRYAB), troponin T slow (TNNT1), and aldolase dehydrogenase 1 (ALDH1A1). Four proteins: HSP40, four and a half LIM domains protein 1 (FHL1), glycogen phosphorylase B (PYGB) and malate dehydrogenase (MDH1) showed the same abundance whatever the muscle. The correlations observed between the 20 proteins in all the five muscles were used to construct a correlation network. The proteins the most connected with the others were in the following order MyHC-IIX, CRYAB, TPI1, PGK1, ALDH1A1, HSP27 and TNNT1. This knowledge is important for understanding the biological functions related to beef tenderness and intramuscular fat content.
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Affiliation(s)
- Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Mohammed Gagaoua
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Marwa Al-Jammas
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Leanne De Koning
- Institut Curie Centre de Recherche, Université de recherche PSL, Plateforme RPPA, Paris, France
| | - Albéric Valais
- S.I.C.A. Rouge des Prés, Domaines des rues, Chenillé-Champteussé, France
| | - Muriel Bonnet
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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Malheiros JM, Enríquez-Valencia CE, da Silva Duran BO, de Paula TG, Curi RA, de Vasconcelos Silva JAI, Dal-Pai-Silva M, de Oliveira HN, Chardulo LAL. Association of CAST2, HSP90AA1, DNAJA1 and HSPB1 genes with meat tenderness in Nellore cattle. Meat Sci 2018; 138:49-52. [DOI: 10.1016/j.meatsci.2018.01.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 12/04/2017] [Accepted: 01/04/2018] [Indexed: 11/16/2022]
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19
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Kammoun M, Picard B, Astruc T, Gagaoua M, Aubert D, Bonnet M, Blanquet V, Cassar-Malek I. The Invalidation of HspB1 Gene in Mouse Alters the Ultrastructural Phenotype of Muscles. PLoS One 2016; 11:e0158644. [PMID: 27512988 PMCID: PMC4981447 DOI: 10.1371/journal.pone.0158644] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 06/20/2016] [Indexed: 12/30/2022] Open
Abstract
Even though abundance of Hsp27 is the highest in skeletal muscle, the relationships between the expression of HspB1 (encoding Hsp27) and muscle characteristics are not fully understood. In this study, we have analysed the effect of Hsp27 inactivation on mouse development and phenotype. We generated a mouse strain devoid of Hsp27 protein by homologous recombination of the HspB1 gene. The HspB1-/- mouse was viable and fertile, showing neither apparent morphological nor anatomical alterations. We detected a gender dimorphism with marked effects in males, a lower body weight (P < 0.05) with no obvious changes in the growth rate, and a lower plasma lipids profile (cholesterol, HDL and triglycerides, 0.001 < P< 0.05). The muscle structure of the animals was examined by optical microscopy and transmission electron microscopy. Not any differences in the characteristics of muscle fibres (contractile and metabolic type, shape, perimeter, cross-sectional area) were detected except a trend for a higher proportion of small fibres. Different myosin heavy chains electrophoretic profiles were observed in the HspB1-/- mouse especially the presence of an additional isoform. Electron microscopy revealed ultrastructural abnormalities in the myofibrillar structure of the HspB1-/- mouse mutant mice (e.g. destructured myofibrils and higher gaps between myofibrils) especially in the m. Soleus. Combined with our previous data, these findings suggest that Hsp27 could directly impact the organization of muscle cytoskeleton at the molecular and ultrastructural levels.
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Affiliation(s)
- Malek Kammoun
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
| | - Brigitte Picard
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
| | - Thierry Astruc
- INRA, UR0370 Qualité des Produits Animaux, F-63122, Saint-Genès-Champanelle, France
| | - Mohammed Gagaoua
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Equipe Maquav, INATAA, Université Frères Mentouri Constantine, Constantine, Algeria
| | - Denise Aubert
- Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, Université Lyon 1, CNRS, INRA, École Normale Supérieure de Lyon, F-69364, Lyon, France
| | - Muriel Bonnet
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
| | | | - Isabelle Cassar-Malek
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
- * E-mail:
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