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Melvin SD, Chaousis S, Finlayson K, Carroll AR, van de Merwe JP. Field-scale monitoring of green sea turtles (Chelonia mydas): Influence of site characteristics and capture technique on the blood metabolome. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2022; 44:101026. [PMID: 36191476 DOI: 10.1016/j.cbd.2022.101026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/23/2022] [Accepted: 09/24/2022] [Indexed: 01/27/2023]
Abstract
Given their threatened status, there is considerable interest in establishing monitoring techniques that can be used to evaluate the health of sea turtles in the wild. The present study represents a methodological contribution towards field-scale metabolomic assessment of sea turtles, by exploring differences in blood biochemistry associated with site characteristics and capture technique. We compared the metabolome of blood from animals at three locations (two coastal and one reefal), collected from turtles that were either resting or active, and sampled across multiple seasons at one location. Our results show clear differences in the metabolome of turtles from the three locations, some of which are likely attributable to differences in diet or forage quality and others which may reflect differences in other factors (e.g., occurrence of land-based contaminants or other biotic and/or abiotic stressors) between coastal and reefal sites. Our analysis also revealed the influence of capture technique on metabolite profiles, with numerous markers of physical exertion in animals captured while active that were absent in turtles sampled while resting. We observed a modest potential for temporal differences in the metabolome, but controlling for sampling time did not change the overall conclusions of our study. This suggests that temporal differences in the metabolome warrant consideration when designing studies to evaluate the status of sea turtles in the wild, but that site characteristics and capture technique are bigger drivers. However, sample size for this comparison was relatively small and further investigation of seasonal differences in the metabolome are warranted. Research exploring each of these factors more closely will further contribute towards achieving robust metabolomics analysis of sea turtles across large spatial and temporal scales.
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Affiliation(s)
- Steven D Melvin
- Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Queensland, Australia.
| | - Stephanie Chaousis
- Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Queensland, Australia
| | - Kimberly Finlayson
- Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Queensland, Australia
| | - Anthony R Carroll
- Griffith Institute for Drug Discovery, School of Environment and Science, Griffith University, Southport, QLD, Australia
| | - Jason P van de Merwe
- Australian Rivers Institute, School of Environment and Science, Griffith University, Southport, Queensland, Australia. https://twitter.com/@DrVanders
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2
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Sprigg C, Whitfield H, Burton E, Scholey D, Bedford MR, Brearley CA. Phytase dose-dependent response of kidney inositol phosphate levels in poultry. PLoS One 2022; 17:e0275742. [PMID: 36260560 PMCID: PMC9581429 DOI: 10.1371/journal.pone.0275742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 09/22/2022] [Indexed: 12/02/2022] Open
Abstract
Phytases, enzymes that degrade phytate present in feedstuffs, are widely added to the diets of monogastric animals. Many studies have correlated phytase addition with improved animal productivity and a subset of these have sought to correlate animal performance with phytase-mediated generation of inositol phosphates in different parts of the gastro-intestinal tract or with release of inositol or of phosphate, the absorbable products of phytate degradation. Remarkably, the effect of dietary phytase on tissue inositol phosphates has not been studied. The objective of this study was to determine effect of phytase supplementation on liver and kidney myo-inositol and myo-inositol phosphates in broiler chickens. For this, methods were developed to measure inositol phosphates in chicken tissues. The study comprised wheat/soy-based diets containing one of three levels of phytase (0, 500 and 6,000 FTU/kg of modified E. coli 6-phytase). Diets were provided to broilers for 21 D and on day 21 digesta were collected from the gizzard and ileum. Liver and kidney tissue were harvested. Myo-inositol and inositol phosphates were measured in diet, digesta, liver and kidney. Gizzard and ileal content inositol was increased progressively, and total inositol phosphates reduced progressively, by phytase supplementation. The predominant higher inositol phosphates detected in tissues, D-and/or L-Ins(3,4,5,6)P4 and Ins(1,3,4,5,6)P5, differed from those (D-and/or L-Ins(1,2,3,4)P4, D-and/or L-Ins(1,2,5,6)P4, Ins(1,2,3,4,6)P5, D-and/or L-Ins(1,2,3,4,5)P5 and D-and/or L-Ins(1,2,4,5,6)P5) generated from phytate (InsP6) degradation by E. coli 6-phytase or endogenous feed phytase, suggesting tissue inositol phosphates are not the result of direct absorption. Kidney inositol phosphates were reduced progressively by phytase supplementation. These data suggest that tissue inositol phosphate concentrations can be influenced by dietary phytase inclusion rate and that such effects are tissue specific, though the consequences for physiology of such changes have yet to be elucidated.
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Affiliation(s)
- Colleen Sprigg
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
| | - Hayley Whitfield
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
| | - Emily Burton
- School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Southwell, United Kingdom
| | - Dawn Scholey
- School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Southwell, United Kingdom
| | | | - Charles A. Brearley
- School of Biological Sciences, University of East Anglia, Norwich, United Kingdom
- * E-mail:
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3
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Ponsuksili S, Hadlich F, Perdomo-Sabogal A, Reyer H, Oster M, Trakooljul N, Iqbal MA, Schmucker S, Stefanski V, Roth C, Silva AC, Huber K, Sommerfeld V, Rodehutscord M, Wimmers K. The dynamics of molecular, immune and physiological features of the host and the gut microbiome, and their interactions before and after onset of laying in two hen strains. Poult Sci 2022; 102:102256. [PMID: 36335740 PMCID: PMC9640326 DOI: 10.1016/j.psj.2022.102256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
Aggregation of data, including deep sequencing of mRNA and miRNA data in jejunum mucosa, abundance of immune cells, metabolites, or hormones in blood, composition of microbiota in digesta and duodenal mucosa, and production traits collected along the lifespan, provides a comprehensive picture of lifelong adaptation processes. Here, respective data from two laying hen strains (Lohmann Brown-Classic (LB) and Lohmann LSL-Classic (LSL) collected at 10, 16, 24, 30, and 60 wk of age were analyzed. Data integration revealed strain- and stage-specific biosignatures, including elements indicative of molecular pathways discriminating the strains. Although the strains performed the same, they differed in the activity of immunological and metabolic functions and pathways and showed specific gut-microbiota-interactions in different production periods. The study shows that both strains employ different strategies to acquire and maintain their capabilities under high performance conditions, especially during the transition phase. Furthermore, the study demonstrates the capacity of such integrative analyses to elucidate molecular pathways that reflect functional biodiversity. The bioinformatic reduction of the multidimensional data provides good guidance for further manual review of the data.
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Affiliation(s)
- Siriluck Ponsuksili
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany,Corresponding author:
| | - Frieder Hadlich
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany
| | - Alvaro Perdomo-Sabogal
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany
| | - Henry Reyer
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany
| | - Michael Oster
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany
| | - Nares Trakooljul
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany
| | - Muhammad Arsalan Iqbal
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany
| | - Sonja Schmucker
- University of Hohenheim, Institute of Animal Science, 70599 Stuttgart, Germany,University Rostock, Faculty of Agricultural and Environmental Sciences, 18059 Rostock, Germany
| | - Volker Stefanski
- University of Hohenheim, Institute of Animal Science, 70599 Stuttgart, Germany
| | - Christoph Roth
- University of Hohenheim, Institute of Animal Science, 70599 Stuttgart, Germany
| | | | - Korinna Huber
- University of Hohenheim, Institute of Animal Science, 70599 Stuttgart, Germany
| | - Vera Sommerfeld
- University of Hohenheim, Institute of Animal Science, 70599 Stuttgart, Germany
| | - Markus Rodehutscord
- University of Hohenheim, Institute of Animal Science, 70599 Stuttgart, Germany
| | - Klaus Wimmers
- Research Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196 Dummerstorf, Germany,University Rostock, Faculty of Agricultural and Environmental Sciences, 18059 Rostock, Germany
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Lin J, Ge L, Mei X, Niu Y, Chen C, Hou S, Liu X. Integrated ONT Full-Length Transcriptome and Metabolism Reveal the Mechanism Affecting Ovulation in Muscovy Duck (Cairina moschata). Front Vet Sci 2022; 9:890979. [PMID: 35873698 PMCID: PMC9305713 DOI: 10.3389/fvets.2022.890979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Ovulation is a complicated physiological process that is regulated by a multitude of different pathways. In comparison to mammalian studies, there are few reports of ovulation in Muscovy ducks, and the molecular mechanism of ovarian development remained unclear. In order to identify candidate genes and metabolites related to Muscovy duck follicular ovulation, the study combined Oxford Nanopore Technologies (ONT) full-length transcriptome and metabolomics to analyze the differences in gene expression and metabolite accumulation in the ovaries between pre-ovulation (PO) and consecutive ovulation (CO) Muscovy ducks. 83 differentially accumulated metabolites (DAMs) were identified using metabolomics analysis, 33 of which are related to lipids. Combined with data from previous transcriptomic analyses found that DEGs and DAMs were particularly enriched in processes including the regulation of glycerophospholipid metabolism pathway, arachidonic acid metabolic pathway and the steroid biosynthetic pathway. In summary, the novel potential mechanisms that affect ovulation in Muscovy ducks may be related to lipid metabolism, and the findings provide new insights into the mechanisms of ovulation in waterfowl and will contribute to a better understanding of changes in the waterfowl ovarian development regulatory network.
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Affiliation(s)
- Junyuan Lin
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Liyan Ge
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Xiang Mei
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Yurui Niu
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Chu Chen
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Shuisheng Hou
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
- Ministry of Agriculture Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- *Correspondence: Shuisheng Hou
| | - Xiaolin Liu
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
- Xiaolin Liu
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Elsaid S, Rubin-Kahana DS, Kloiber S, Kennedy SH, Chavez S, Le Foll B. Neurochemical Alterations in Social Anxiety Disorder (SAD): A Systematic Review of Proton Magnetic Resonance Spectroscopic Studies. Int J Mol Sci 2022; 23:ijms23094754. [PMID: 35563145 PMCID: PMC9105768 DOI: 10.3390/ijms23094754] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/18/2022] [Accepted: 04/18/2022] [Indexed: 12/10/2022] Open
Abstract
(1) Objective: Considering that current knowledge of mechanisms involved in the molecular pathogenesis of Social Anxiety Disorder (SAD) is limited, we conducted a systematic review to evaluate cumulative data obtained by Proton Magnetic Resonance Spectroscopic (1H MRS) studies. (2) Methods: A computer-based literature search of Medline, EMBASE, PsycInfo, and ProQuest was performed. Only cross-sectional studies using 1H MRS techniques in participants with SAD and healthy controls (HCs) were selected. (3) Results: The search generated eight studies. The results indicated regional abnormalities in the ‘fear neurocircuitry’ in patients with SAD. The implicated regions included the anterior cingulate cortex (ACC), dorsomedial prefrontal cortex (dmPFC), dorsolateral prefrontal cortex (dlPFC), insula, occipital cortex (OC), as well as the subcortical regions, including the thalamus, caudate, and the putamen. (4) Conclusions: The evidence derived from eight studies suggests that possible pathophysiological mechanisms of SAD include impairments in the integrity and function of neurons and glial cells, including disturbances in energy metabolism, maintenance of phospholipid membranes, dysregulations of second messenger systems, and excitatory/inhibitory neurocircuitry. Conducting more cross-sectional studies with larger sample sizes is warranted given the limited evidence in this area of research.
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Affiliation(s)
- Sonja Elsaid
- Translational Addiction Research Laboratory, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5S 2S1, Canada; (S.E.); (D.S.R.-K.)
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (S.K.); (S.H.K.); (S.C.)
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
| | - Dafna S. Rubin-Kahana
- Translational Addiction Research Laboratory, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5S 2S1, Canada; (S.E.); (D.S.R.-K.)
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
| | - Stefan Kloiber
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (S.K.); (S.H.K.); (S.C.)
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Sidney H. Kennedy
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (S.K.); (S.H.K.); (S.C.)
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, ON M5B 1M4, Canada
- Li Ka Shing Knowledge Institute, Toronto, ON M5B 1T8, Canada
- Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada
- Homewood Research Institute, Guelph, ON N1E 6K9, Canada
| | - Sofia Chavez
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (S.K.); (S.H.K.); (S.C.)
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
| | - Bernard Le Foll
- Translational Addiction Research Laboratory, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5S 2S1, Canada; (S.E.); (D.S.R.-K.)
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; (S.K.); (S.H.K.); (S.C.)
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
- Departments of Family and Community Medicine, University of Toronto, Toronto, ON M5T 1R8, Canada
- Addictions Division, Centre for Addiction and Mental Health, Toronto, ON M6J 1H3, Canada
- Waypoint Research Institute, Waypoint Centre for Mental Health Care, Penetanguishene, ON L9M 1G3, Canada
- Correspondence: ; Tel.: +1-416-535-8501 (ext. 33111)
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6
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Iqbal MA, Reyer H, Oster M, Hadlich F, Trakooljul N, Perdomo-Sabogal A, Schmucker S, Stefanski V, Roth C, Camarinha Silva A, Huber K, Sommerfeld V, Rodehutscord M, Wimmers K, Ponsuksili S. Multi-Omics Reveals Different Strategies in the Immune and Metabolic Systems of High-Yielding Strains of Laying Hens. Front Genet 2022; 13:858232. [PMID: 35432452 PMCID: PMC9010826 DOI: 10.3389/fgene.2022.858232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/10/2022] [Indexed: 01/22/2023] Open
Abstract
Lohmann Brown (LB) and Lohmann Selected Leghorn (LSL) are two commercially important laying hen strains due to their high egg production and excellent commercial suitability. The present study integrated multiple data sets along the genotype-phenotype map to better understand how the genetic background of the two strains influences their molecular pathways. In total, 71 individuals were analyzed (LB, n = 36; LSL, n = 35). Data sets include gut miRNA and mRNA transcriptome data, microbiota composition, immune cells, inositol phosphate metabolites, minerals, and hormones from different organs of the two hen strains. All complex data sets were pre-processed, normalized, and compatible with the mixOmics platform. The most discriminant features between two laying strains included 20 miRNAs, 20 mRNAs, 16 immune cells, 10 microbes, 11 phenotypic traits, and 16 metabolites. The expression of specific miRNAs and the abundance of immune cell types were related to the enrichment of immune pathways in the LSL strain. In contrast, more microbial taxa specific to the LB strain were identified, and the abundance of certain microbes strongly correlated with host gut transcripts enriched in immunological and metabolic pathways. Our findings indicate that both strains employ distinct inherent strategies to acquire and maintain their immune and metabolic systems under high-performance conditions. In addition, the study provides a new perspective on a view of the functional biodiversity that emerges during strain selection and contributes to the understanding of the role of host–gut interaction, including immune phenotype, microbiota, gut transcriptome, and metabolome.
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Affiliation(s)
- Muhammad Arsalan Iqbal
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
| | - Henry Reyer
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
| | - Michael Oster
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
| | - Frieder Hadlich
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
| | - Nares Trakooljul
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
| | - Alvaro Perdomo-Sabogal
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
| | - Sonja Schmucker
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | - Volker Stefanski
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | - Christoph Roth
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | | | - Korinna Huber
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | - Vera Sommerfeld
- University of Hohenheim, Institute of Animal Science, Stuttgart, Germany
| | | | - Klaus Wimmers
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
- University Rostock, Faculty of Agricultural and Environmental Sciences, Rostock, Germany
| | - Siriluck Ponsuksili
- Research Institute for Farm Animal Biology, Institute of Genome Biology, Dummerstorf, Germany
- *Correspondence: Siriluck Ponsuksili,
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