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Adekoya AA, Adeola O. Comparison of standardized ileal digestibility of amino acids in faba beans and field peas in broiler chickens and pigs. J Anim Sci 2023; 101:skad167. [PMID: 37226574 PMCID: PMC10276638 DOI: 10.1093/jas/skad167] [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: 03/16/2023] [Accepted: 05/18/2023] [Indexed: 05/26/2023] Open
Abstract
An experiment, using the same set of five diets was conducted to determine and compare the standardized ileal digestibility (SID) of amino acids (AA) in faba beans and three cultivars of field peas in broiler chickens and pigs. Four test diets were prepared to contain faba beans, DS-Admiral field peas, Hampton field peas, or 4010 field peas as the sole source of nitrogen. A nitrogen-free diet (NFD), as the fifth diet, was prepared to estimate the basal endogenous losses of AA to determine the SID of AA in the test ingredients. A total of 416 male broiler chickens with an initial body weight (BW) of 951 ± 111 g were allotted to five diets in a randomized complete block design with BW as a blocking factor on day 21 posthatching. There were 8 replicate cages with 10 birds per cage for diets containing test ingredients and 12 birds per cage for NFD. All birds were allowed ad-libitum access to feed for 5 days. On day 26 posthatching, all birds were euthanized by CO2 asphyxiation and digesta contents were collected from the distal two-thirds of the ileum. Twenty barrows with an initial BW of 30.2 ± 1.58 kg, surgically fitted with T-cannulas in the distal ileum, were divided into four blocks according to BW and each block was assigned to a 5 × 2 incomplete Latin Square design that consisted of five dietary treatments and two experimental periods. For each experimental period, there was a 5-day adaptation period followed by a 2-day collection of ileal digesta samples. The data were analyzed as a 2 × 4 factorial treatment arrangement with the effect of species (i.e., broiler chickens and pigs) and test diets (i.e., four test ingredients). For broiler chickens, the SID of Lys in faba beans, DS-Admiral field peas, and Hampton field peas were above 90% but in 4010 field peas, it was 85.1%. The SID of Lys in faba beans, DS-Admiral field peas, and Hampton field peas for pigs was above 80% but was 78.9% in 4010 field peas. The respective SID of Met in faba beans, DS-Admiral field peas, Hampton field peas, and 4010 field peas were 84.1%, 87.3%, 89.8%, and 72.1% for broiler chickens, and 71.5%, 80.4%, 81.8%, and 68.1% for pigs. The SID of AA in 4010 field peas was the least (P < 0.05) for chickens, but in pigs, it was comparable with faba beans. In conclusion, the SID of AA in faba beans and field peas was greater in broiler chickens compared with pigs and there was a cultivar effect.
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Affiliation(s)
| | - Olayiwola Adeola
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA
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Scharff LB, Saltenis VLR, Jensen PE, Baekelandt A, Burgess AJ, Burow M, Ceriotti A, Cohan J, Geu‐Flores F, Halkier BA, Haslam RP, Inzé D, Klein Lankhorst R, Murchie EH, Napier JA, Nacry P, Parry MAJ, Santino A, Scarano A, Sparvoli F, Wilhelm R, Pribil M. Prospects to improve the nutritional quality of crops. Food Energy Secur 2021. [DOI: 10.1002/fes3.327] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Lars B. Scharff
- Department of Plant and Environmental Sciences Copenhagen Plant Science Centre University of Copenhagen Frederiksberg Denmark
| | - Vandasue L. R. Saltenis
- Department of Plant and Environmental Sciences Copenhagen Plant Science Centre University of Copenhagen Frederiksberg Denmark
| | - Poul Erik Jensen
- Department of Food Science University of Copenhagen Frederiksberg Denmark
| | - Alexandra Baekelandt
- Department of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium
- VIB Center for Plant Systems Biology Ghent Belgium
| | | | - Meike Burow
- DynaMo Center Copenhagen Plant Science Centre Department of Plant and Environmental Sciences University of Copenhagen Frederiksberg Denmark
| | - Aldo Ceriotti
- Institute of Agricultural Biology and Biotechnology National Research Council (CNR) Milan Italy
| | | | - Fernando Geu‐Flores
- Department of Plant and Environmental Sciences Copenhagen Plant Science Centre University of Copenhagen Frederiksberg Denmark
| | - Barbara Ann Halkier
- DynaMo Center Copenhagen Plant Science Centre Department of Plant and Environmental Sciences University of Copenhagen Frederiksberg Denmark
| | | | - Dirk Inzé
- Department of Plant Biotechnology and Bioinformatics Ghent University Ghent Belgium
| | - René Klein Lankhorst
- Wageningen Plant Research Wageningen University & Research Wageningen The Netherlands
| | - Erik H. Murchie
- School of Biosciences University of Nottingham Loughborough UK
| | | | - Philippe Nacry
- BPMPUniv MontpellierINRAECNRSMontpellier SupAgro Montpellier France
| | | | - Angelo Santino
- Institute of Sciences of Food Production (ISPA) National Research Council (CNR) Lecce Italy
| | - Aurelia Scarano
- Institute of Sciences of Food Production (ISPA) National Research Council (CNR) Lecce Italy
| | - Francesca Sparvoli
- DynaMo Center Copenhagen Plant Science Centre Department of Plant and Environmental Sciences University of Copenhagen Frederiksberg Denmark
| | - Ralf Wilhelm
- Institute for Biosafety in Plant Biotechnology Julius Kühn‐Institut – Federal Research Centre for Cultivated Plants Quedlinburg Germany
| | - Mathias Pribil
- Department of Plant and Environmental Sciences Copenhagen Plant Science Centre University of Copenhagen Frederiksberg Denmark
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3
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Li MM, Hanigan MD. A revised representation of ruminal pH and digestive reparameterization of the Molly cow model. J Dairy Sci 2020; 103:11285-11299. [PMID: 33041031 DOI: 10.3168/jds.2020-18372] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 08/02/2020] [Indexed: 12/18/2022]
Abstract
Ruminal pH is a critical factor to regulate nutrient degradation and fermentation. However, it has been poorly predicted in the Molly cow model, and recent improvements in the representation of nitrogen cycling across the rumen wall altered some of the modeled responses to feed nutrients, resulting in some model bias. The objectives of this study were to further improve the representation of pH and to refit parameters related to ruminal metabolism and nutrient digestion in the model to resolve this bias, and to use the improved model to estimate nitrogen and energy fluxes with varying rumen-degradable protein (RDP; 40 vs. 60%) and ruminally degraded starch (RDSt; 50 vs. 75%). A meta data set containing 284 peer reviewed studies with 1,223 treatment means was used to derive parameter estimates for ruminal metabolism and nutrient digestions. Refitting the parameters significantly improved the accuracy and precision of the model predictions for ruminal nutrient outflow [acid detergent fiber (ADF), neutral detergent fiber (NDF), total N, microbial N, nonammonia N, and nonammonia nonmicrobial N], ammonia and blood urea concentrations, and fecal nutrient outflow (protein, ADF, and NDF). The prediction error for body weight was decreased from 19.3 to 6.2% with decreased mean bias (from 76.0 to 11.5%) and slope bias (from 17.2 to 7.7%), primarily due to improved representations of ruminal dry matter and liquid pool size. Adding ammonia concentration as a driver to the pH equation increased the precision of predicted ruminal pH and, thereby, the precision of predicted volatile fatty acid (VFA) concentrations, due to improved representation of pH regulation of VFA production rates. Although minor mean and slope bias were observed for ruminal pH and VFA concentrations, the concordance correlation coefficients indicated that much of the observed variation in these variables remains unexplained. Overall, the biological functions of nutrient degradation and digestion appear to be represented without bias. Simulated results indicated that decreasing RDP and RDSt proportions in an isonitrogenous and isocaloric diet can slightly improve N efficiency, and increasing RDSt proportions can increase energy efficiency.
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Affiliation(s)
- Meng M Li
- Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061
| | - Mark D Hanigan
- Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061.
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4
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Kreplak J, Madoui MA, Cápal P, Novák P, Labadie K, Aubert G, Bayer PE, Gali KK, Syme RA, Main D, Klein A, Bérard A, Vrbová I, Fournier C, d'Agata L, Belser C, Berrabah W, Toegelová H, Milec Z, Vrána J, Lee H, Kougbeadjo A, Térézol M, Huneau C, Turo CJ, Mohellibi N, Neumann P, Falque M, Gallardo K, McGee R, Tar'an B, Bendahmane A, Aury JM, Batley J, Le Paslier MC, Ellis N, Warkentin TD, Coyne CJ, Salse J, Edwards D, Lichtenzveig J, Macas J, Doležel J, Wincker P, Burstin J. A reference genome for pea provides insight into legume genome evolution. Nat Genet 2019; 51:1411-1422. [PMID: 31477930 DOI: 10.1038/s41588-019-0480-1] [Citation(s) in RCA: 230] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 07/10/2019] [Indexed: 02/03/2023]
Abstract
We report the first annotated chromosome-level reference genome assembly for pea, Gregor Mendel's original genetic model. Phylogenetics and paleogenomics show genomic rearrangements across legumes and suggest a major role for repetitive elements in pea genome evolution. Compared to other sequenced Leguminosae genomes, the pea genome shows intense gene dynamics, most likely associated with genome size expansion when the Fabeae diverged from its sister tribes. During Pisum evolution, translocation and transposition differentially occurred across lineages. This reference sequence will accelerate our understanding of the molecular basis of agronomically important traits and support crop improvement.
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Affiliation(s)
- Jonathan Kreplak
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Mohammed-Amin Madoui
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, Evry, France
| | - Petr Cápal
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Petr Novák
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Karine Labadie
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Grégoire Aubert
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Philipp E Bayer
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | - Krishna K Gali
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Robert A Syme
- Centre for Crop and Disease Management, Curtin University, Bentley, Western Australia, Australia
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA, USA
| | - Anthony Klein
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Aurélie Bérard
- Etude du Polymorphisme des Génomes Végétaux, INRA, Université Paris-Saclay, Evry, France
| | - Iva Vrbová
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Cyril Fournier
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Leo d'Agata
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Caroline Belser
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Wahiba Berrabah
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Helena Toegelová
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Zbyněk Milec
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Jan Vrána
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - HueyTyng Lee
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Ayité Kougbeadjo
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Morgane Térézol
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Cécile Huneau
- UMR 1095 Génétique, Diversité, Ecophysiologie des Céréales, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Chala J Turo
- Centre for Crop and Disease Management, School of Molecular and Life Science, Curtin University, Bentley, Western Australia, Australia
| | | | - Pavel Neumann
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Matthieu Falque
- GQE-Le Moulon, INRA, University of Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Karine Gallardo
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | - Rebecca McGee
- USDA Agricultural Research Service, Pullman, WA, USA
| | - Bunyamin Tar'an
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Abdelhafid Bendahmane
- Institute of Plant Sciences Paris-Saclay, INRA, CNRS, University of Paris-Sud, University of Evry, University Paris-Diderot, Sorbonne Paris-Cite, University of Paris-Saclay, Orsay, France
| | - Jean-Marc Aury
- Genoscope, Institut François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jacqueline Batley
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | | | - Noel Ellis
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Thomas D Warkentin
- Crop Development Centre/Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | | | - Jérome Salse
- UMR 1095 Génétique, Diversité, Ecophysiologie des Céréales, INRA, Université Clermont Auvergne, Clermont-Ferrand, France
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | - Judith Lichtenzveig
- School of Agriculture and Environment, University of Western Australia, Perth, Western Australia, Australia
| | - Jiří Macas
- Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, Czech Republic
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, Evry, France
| | - Judith Burstin
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.
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Linares-García L, Repo-Carrasco-Valencia R, Glorio Paulet P, Schoenlechner R. Development of gluten-free and egg-free pasta based on quinoa (Chenopdium quinoa Willd) with addition of lupine flour, vegetable proteins and the oxidizing enzyme POx. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-019-03320-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Li MM, Titgemeyer EC, Hanigan MD. A revised representation of urea and ammonia nitrogen recycling and use in the Molly cow model. J Dairy Sci 2019; 102:5109-5129. [PMID: 30904308 DOI: 10.3168/jds.2018-15947] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 01/27/2019] [Indexed: 01/21/2023]
Abstract
Accurately predicting nitrogen (N) digestion, absorption, and metabolism will allow formulation of diets that more closely match true animal needs from a broad range of feeds, thereby allowing efficiency of N utilization and profit to be maximized. The objectives of this study were to advance representations of N recycling between blood and the gut and urinary N excretion in the Molly cow model. The current work includes enhancements (1) representing ammonia passage to the small intestine; (2) deriving parameters defining urea synthesis and ruminal urea entry rates; (3) adding representations of intestinal urea entry, microbial protein synthesis in the hindgut, and fecal urea-N excretion; and (4) altering existing urinary N excretion equations to scale with body weight and adding purine derivatives as a component of urinary N excretion. After the modifications, prediction errors for ruminal outflows of total N, microbial N, and nonammonia, nonmicrobial N were 29.8, 32.3, and 26.2% of the respective observed mean values. Prediction errors of each were approximately 7 percentage units lower than the corresponding values before model modifications and fitting due primarily to decreased slope bias. The revised model predicted ruminal ammonia and blood urea concentrations with substantially decreased overall error and reductions in slope and mean bias. Prediction errors for gut urea-N entry were decreased from 70.5 to 26.7%, which was also a substantial improvement. Adding purine derivatives to urinary N predictions improved the accuracy of predictions of urinary N output. However, urinary urea-N excretion remains poorly predicted with 69.0% prediction errors, due mostly to overestimated urea-N entry rates. Adding representations of undigested microbial nucleic acids, microbial protein synthesized in the hindgut, and urea-N excretion in feces decreased prediction errors for fecal N excretion from 21.1 to 17.1%. The revised model predicts that urea-N entry into blood accounts for approximately 64% of dietary N intake, of which 64% is recycled to the gut lumen. Between 48 and 67% of the urea recycled to the gut flows into the rumen largely depending on diet, which accounts for 29 to 54% of total ruminal ammonia production, and 65 to 76% of this ammonia-N is captured in microbial protein, which represents 17% of N intake. Based on model simulations, feeding a diet with moderately low crude protein and high rumen-undegradable protein could increase apparent ruminal N efficiency by 20%.
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Affiliation(s)
- Meng M Li
- Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061
| | - E C Titgemeyer
- Department of Animal Sciences and Industry, Kansas State University, Manhattan 66506-1600
| | - Mark D Hanigan
- Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061.
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Witten S, Grashorn MA, Aulrich K. Precaecal digestibility of crude protein and amino acids of a field bean ( Vicia faba L.) and a field pea ( Pisum sativum L.) variety for broilers. Anim Feed Sci Technol 2018. [DOI: 10.1016/j.anifeedsci.2018.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Ribeiro IC, Leclercq CC, Simões N, Toureiro A, Duarte I, Freire JB, Chaves MM, Renaut J, Pinheiro C. Identification of chickpea seed proteins resistant to simulated in vitro human digestion. J Proteomics 2017; 169:143-152. [PMID: 28634118 DOI: 10.1016/j.jprot.2017.06.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/20/2017] [Accepted: 06/12/2017] [Indexed: 12/30/2022]
Abstract
Proteins and peptides able to resist gastrointestinal digestion and reach the intestinal mucosa have the potential to influence human health. Chickpea (Cicer arietinum L.) seed proteins are able to resist cooking (86.9% total protein) and/or in vitro simulated human digestion (15.9% total protein resists soaking, cooking and digestion with pepsin and pancreatin). To identify and characterize proteins resisting digestion we made use of different MS methodologies. The efficiency of several proteases (trypsin, AspN, chymotrypsin and LysC) was tested, and two technologies were employed (MALDI-MS/MS and LC-nESI-MS/MS). Digestion with trypsin and AspN were most successful for the identification of seed proteins. When analyzed by MALDI- MS/MS, trypsin allowed the identification of at least one protein in 60% of the polypeptide bands, while AspN allows the identification in 48%. The use of LC-nESI-MS/MS, allowed the identification of much more proteins/polypeptides from digested seeds (232 vs 17 using trypsin). The majority of the proteins found to be able to resist simulated digestion were members of the 7S vicilin and 11S legumin seed storage protein classes, which are reported to contain bio-active functions. In addition, we have found proteins that had not yet been described as potentially able to cause an impact on human health. SIGNIFICANCE This is the first proteomic study to analyze the effect of processing and simulated human gastrointestinal digestion on the proteome of chickpea seed. Chickpea is reported to have anti-nutritional effects as well as nutraceutical properties, so the identification and characterization of the proteins able to resist digestion is crucial to understand the targets underlying such properties.
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Affiliation(s)
- I C Ribeiro
- Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa, Av. da República, EAN, 2781-901 Oeiras, Portugal
| | - C C Leclercq
- Luxembourg Institute of Science and Technology, 5, Avenue des Hauts-Forneaux, L-4362 Esch/Alzette, Luxembourg
| | - N Simões
- INIAV, Elvas, Apartado 6, 7350-951 Elvas, Portugal
| | - A Toureiro
- INIAV, Elvas, Apartado 6, 7350-951 Elvas, Portugal
| | - I Duarte
- INIAV, Elvas, Apartado 6, 7350-951 Elvas, Portugal
| | - J B Freire
- LEAF, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - M M Chaves
- Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa, Av. da República, EAN, 2781-901 Oeiras, Portugal
| | - J Renaut
- Luxembourg Institute of Science and Technology, 5, Avenue des Hauts-Forneaux, L-4362 Esch/Alzette, Luxembourg
| | - C Pinheiro
- Instituto de Tecnologia Química e Biológica, Universidade NOVA de Lisboa, Av. da República, EAN, 2781-901 Oeiras, Portugal; DCV - Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
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9
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Nitrogen and amino acid ileal and faecal digestibility of rabbit feeds predicted by an in vitro method. Anim Feed Sci Technol 2016. [DOI: 10.1016/j.anifeedsci.2016.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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10
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Masey O’Neill H, Rademacher M, Mueller-Harvey I, Stringano E, Kightley S, Wiseman J. Standardised ileal digestibility of crude protein and amino acids of UK-grown peas and faba beans by broilers. Anim Feed Sci Technol 2012. [DOI: 10.1016/j.anifeedsci.2012.05.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Henry MA, Nikolopoulou D, Alexis MN. In vitro effect of peas, Pisum pisum, and chickpeas, Cicer arietinum, on the immune system of gilthead seabream, Sparus aurata. In Vitro Cell Dev Biol Anim 2012; 48:407-12. [PMID: 22752638 DOI: 10.1007/s11626-012-9528-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2012] [Accepted: 06/14/2012] [Indexed: 11/25/2022]
Abstract
The future for a sustainable aquaculture relies on the formulation of feed including alternatives to fish meal and fish oil that do not impair fish growth and that improve fish health status. Grain legumes such as field peas and chickpeas offer good sources of proteins, carbohydrates, fibers, vitamins, and minerals. The effect of peas and chickpeas on the immune system of seabream was assessed in vitro in order to detect any potential immunosuppressing problem. Peas was determined to be a better fishmeal alternative than chickpeas as they induced higher respiratory burst measured by the nitro blue tetrazolium assay and primed the Phorbol 12-myristate 13-acetate (PMA)-stimulated intracellular respiratory burst whereas chickpeas neither directly stimulated respiratory burst nor primed it. However, when the intra- and extracellular respiratory burst activities were taken into account, high concentrations of peas inhibited the zymosan- and PMA-triggered chemiluminescence. This apparent reduction of the production of reactive oxygen species may reflect in fact the antioxidant activity of legumes. This, together with the absence of effect on the phagocytosis activity, suggested that peas are not immunosuppressing gilthead seabream. Further in vivo studies preferably comporting a bacterial challenge will have to ascertain the absence of immunosuppressing effect of these legumes.
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Affiliation(s)
- M A Henry
- Institute of Aquaculture, Laboratory of Fish Nutrition and Pathology, Hellenic Centre for Marine Research, Agios Kosmas, Helliniko, Athens, Greece.
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Montoya CA, Leterme P. Effect of particle size on the digestible energy content of field pea (Pisum sativum L.) in growing pigs. Anim Feed Sci Technol 2011. [DOI: 10.1016/j.anifeedsci.2011.06.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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13
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Bourgeois M, Jacquin F, Cassecuelle F, Savois V, Belghazi M, Aubert G, Quillien L, Huart M, Marget P, Burstin J. A PQL (protein quantity loci) analysis of mature pea seed proteins identifies loci determining seed protein composition. Proteomics 2011; 11:1581-94. [PMID: 21433288 DOI: 10.1002/pmic.201000687] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2010] [Revised: 01/10/2011] [Accepted: 01/29/2011] [Indexed: 12/20/2022]
Abstract
Legume seeds are a major source of dietary proteins for humans and animals. Deciphering the genetic control of their accumulation is thus of primary significance towards their improvement. At first, we analysed the genetic variability of the pea seed proteome of three genotypes over 3 years of cultivation. This revealed that seed protein composition variability was under predominant genetic control, with as much as 60% of the spots varying quantitatively among the three genotypes. Then, by combining proteomic and quantitative trait loci (QTL) mapping approaches, we uncovered the genetic architecture of seed proteome variability. Protein quantity loci (PQL) were searched for 525 spots detected on 2-D gels obtained for 157 recombinant inbred lines. Most protein quantity loci mapped in clusters, suggesting that the accumulation of the major storage protein families was under the control of a limited number of loci. While convicilin accumulation was mainly under the control of cis-regulatory regions, vicilins and legumins were controlled by both cis- and trans-regulatory regions. Some loci controlled both seed protein composition and protein content and a locus on LGIIa appears to be a major regulator of protein composition and of protein in vitro digestibility.
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Dietary starch source influences in growing goats: the intestinal losses of endogenous nitrogen and amino acids. Br J Nutr 2010; 103:1755-61. [DOI: 10.1017/s0007114510000115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Four goats (20 (SD2·5) kg) fitted with ruminal, duodenal and ileal cannulae were used in a 4 × 4 Latin square design to estimate the effects of a dietary starch source on the duodenal and ileal flows of endogenous N (EN) and endogenous amino acids (EAA) in growing goats. Goats were fed total mixed rations containing four starch sources (mainly from maize (MR), wheat (WR), paddy (PR) and sorghum (SR) treatments). There were no significant (P>0·05) effects of the dietary starch source on the intestinal flows of EN and EAA. The duodenal flows of EN were 2·40, 2·39, 2·18 and 1·56 g/d for the MR, WR, PR and SR treatments, respectively, as determined by the difference method, and the duodenal flows of EAA were 10·76, 11·29, 10·95 and 10·96 g/d by estimation with the amino acid profile method. The flows of EN and EAA at the ileum were 1·17, 1·12, 1·01, 0·70 and 4·87, 4·95, 4·94, 4·99 g/d, respectively, as estimated by the water-soluble method. The average intestinal reabsorption of EN and EAA was 57·5 %, and the endogenous Leu by the MR treatment was significantly (P < 0·05) lower than that of the other three treatments. The present results indicate that losses of endogenous protein in the intestine were not affected by the dietary starch source.
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Zhou C, Tan Z, Pan Y, Tang S, Sun Z, Han X, Wang M. Comparison of different methods for determination of the duodenal and ileal flows of endogenous nitrogen and amino acids in growing goats. Arch Anim Nutr 2009; 63:479-90. [DOI: 10.1080/17450390903169211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Gabriel I, Lessire M, Juin H, Burstin J, Duc G, Quillien L, Thibault J, Leconte M, Hallouis J, Ganier P, Mézière N, Sève B. Variation in seed protein digestion of different pea (Pisum sativum L.) genotypes by cecectomized broiler chickens: 1. Endogenous amino acid losses, true digestibility and in vitro hydrolysis of proteins. Livest Sci 2008. [DOI: 10.1016/j.livsci.2007.04.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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