Gut microbe-derived trimethylamine shapes circadian rhythms through the host receptor TAAR5

  1. Kala K Mahen
  2. William J Massey
  3. Danny Orabi
  4. Amanda L Brown
  5. Thomas C Jaramillo
  6. Amy Burrows
  7. Anthony J Horak
  8. Sumita Dutta
  9. Marko Mrdjen
  10. Nour Mouannes
  11. Venkateshwari Varadharajan
  12. Lucas J Osborne
  13. Xiayan Ye
  14. Dante M Yarbrough
  15. Treg Grubb
  16. Natalie Zajczenko
  17. Rachel Hohe
  18. Rakhee Banerjee
  19. Pranavi Linga
  20. Dev Laungani
  21. Adeline M Hajjar
  22. Naseer Sangwan
  23. Mohammed Dwidar
  24. Jennifer A Buffa
  25. Garth R Swanson
  26. Zeneng Wang
  27. Jonathan Mark Brown  Is a corresponding author
  1. Department of Cancer Biology, Cleveland Clinic, United States
  2. Center for Microbiome and Human Health, Cleveland Clinic, United States
  3. Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, United States
  4. Department of Inflammation and Immunity, Cleveland Clinic, United States
  5. Rodent Behavior Core, Cleveland Clinic, United States
  6. Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic, United States
  7. Microbial Sequencing & Analytics Core Facility, Cleveland Clinic, United States
  8. Department of Medicine, Medical University of South Carolina, United States
5 figures, 1 table and 2 additional files

Figures

Figure 1 with 2 supplements
The host trimethylamine receptor TAAR5 shapes tissue-specific circadian oscillations.

Male chow-fed wild-type (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were necropsied at 4-hr intervals to collect tissues including skeletal muscle (A), olfactory bulb (B), liver (C), or gonadal white adipose tissue (D). The relative gene expression for circadian (Bmal1, Clock, Nr1d1, Cry1, and Per2) and metabolism (Prdm16 and Ucp1) related genes was quantified by qPCR using the ΔΔ-CT method. Data shown represent the means ± SEM for n = 3–6 individual mice per group. Group differences were determined using cosinor analyses, and p-values are provided where there were statistically significant differences between Taar5+/+ and Taar5-/- mice. The complete cosinor statistical analysis for circadian data can be found in Supplementary file 1. *Significant differences between Taar5+/+ and Taar5-/- mice by Student’s t-tests within each ZT time point (p < 0.05).

Figure 1—figure supplement 1
Body weights across a 24-hr period in chow-fed male Taar5+/+ and Taar5-/- mice.

Male chow-fed wild-type (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were necropsied at 4-hr intervals, and body weight at necropsy was quantified. Data shown represent the means ± SEM for n = 3–6 individual mice per group. Group differences were tested using cosinor analyses, but no statistically significant differences were detected.

Figure 1—figure supplement 2
The host trimethylamine receptor TAAR5 shapes circadian oscillations in circulating hormones and cytokines.

Male chow-fed wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were necropsied at 4-hr intervals to collect plasma. (A) Plasma levels of metabolites in the metaorganismal trimethylamine N-oxide (TMAO) pathway were quantified using liquid chromatography–tandem mass spectrometry (LC–MS/MS). (B) Plasma metabolic hormones (insulin, C-peptide, glucagon, GLP-1, leptin, ghrelin, and peptide YY) and cytokine/chemokine (MCP-1, IL-6, and TNFα) levels were quantified using MesoScale Discovery multi-plex immunoassays as described in the Materials and methods. Data shown represent the means ± SEM for n = 3–6 individual mice per group. Group differences were determined using cosinor analyses, and p-values are provided where there were statistically significant differences between Taar5+/+ and Taar5-/- mice. The complete cosinor statistical analysis for circadian data can be found in Supplementary file 1. Significant differences between Taar5+/+ and Taar5-/- mice by Student’s t-tests within each ZT time point (*p < 0.05; **p < 0.01; ***p < 0.001; and ****p < 0.0005).

Figure 2 with 6 supplements
Mice lacking the host TMA receptor TAAR5 have altered olfactory and repetitive behaviors only at specific circadian time points.

Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were subjected to the olfactory cookie test (A) or the marble burying test (B). To examine circadian alterations in behavior, these tests were done in either the dark-light phase transition (ZT23–ZT1), mid light cycle (ZT5–ZT7), or early dark cycle (ZT13–ZT15). Data represent the mean ± SEM from n = 10–15 per group when male and female are separated (n = 25–27 when both sexes are combined), and statistically significant difference between Taar5+/+ and Taar5-/- mice are denoted by *p < 0.05 and **p < 0.01.

Figure 2—figure supplement 1
Olfactory discrimination of several odor stimuli is unaltered in Taar5-deficient mice.

Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were subjected to a battery of single stimulus olfactory discrimination tests to determine time to and time at each stimuli including (A) banana, (B) corn oil, (C) almond, (D) water, or (E) social odors as described in the Methods section. Data are shown for the entire cohort combining both sexes or divided into either male or female cohorts to examine sexual dimorphism in phenotype. Data represent the mean ± SEM from n = 10–15 per group when male and female are separated (n = 25–27 when both sexes are combined). No statistically significant alterations were found during this battery of tests.

Figure 2—figure supplement 2
Taar5-deficient mice exhibit specific alterations in social behaviors.

Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/) were subjected to a battery of social behavioral tests including (A) three-chamber preference test, (B) three-chamber social preference test, (C) three-chamber social novelty test, or (D) social interaction with a juvenile as described in the Methods section. Data are shown for the entire cohort combining both sexes or divided into either male or female cohorts to examine sexual dimorphism in phenotype. Data represent the mean ± SEM from n = 10–15 per group when male and female are separated (n = 25–27 when both sexes are combined). Significant differences between Taar5+/+ and Taar5-/- mice were determined by Student’s t-tests (*p < 0.05; **p < 0.01; ***p < 0.001; and ****p < 0.0005).

Figure 2—figure supplement 3
Taar5-deficient mice exhibit specific alterations in innate behavioral responses.

Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/) were subjected to a battery of innate behavioral tests including: (A) startle test, (B) forepaw grip strength, (C) hotplate sensitivity, (D) rotorod, and (E) nesting as described in the Methods section. Data are shown for the entire cohort combining both sexes or divided into either male or female cohorts to examine sexual dimorphism in phenotype. Data represent the mean ± SEM from n = 10–15 per group when male and female are separated (n = 25–27 when both sexes are combined). Significant differences between Taar5+/+ and Taar5-/- mice were determined by Student’s t-tests (*p < 0.05; **p < 0.01; and ***p < 0.001).

Figure 2—figure supplement 4
Impact of Taar5 deficiency on cognitive, depression, and anxiety-like behaviors.

Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/) were subjected to a battery of behavioral tests related to cognition, depression, and anxiety including: (A) cued fear conditioning, (B) elevated plus maze, (C) Y-maze, and (D) open field test as described in the Methods section. Data are shown for the entire cohort combining both sexes or divided into either male or female cohorts to examine sexual dimorphism in phenotype. Data represent the mean ± SEM from n = 9–10 per group when male and female are separated (n = 19–20 when both sexes are combined). Significant differences between Taar5+/+ and Taar5-/- mice were determined by Student’s t-tests (*p < 0.05).

Figure 2—figure supplement 5
Impact of Taar5 deficiency on Morris water maze performance.

Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/) were subjected to the Morris water maze as described in the Methods section. Data are shown for the entire cohort combining both sexes or divided into either male or female cohorts to examine sexual dimorphism in phenotype. Data represent the mean ± SEM from n = 10–15 per group when male and female are separated (n = 25–27 when both sexes are combined). Significant differences between Taar5+/+ and Taar5-/- mice were determined by Student’s t-tests (*p < 0.05; **p < 0.01; ***p < 0.001; and ****p < 0.0005).

Figure 2—figure supplement 6
Impact of Taar5 deficiency on systemic energy metabolism and gene expression in brown adipose tissue (BAT).

(A) Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/) were placed in individual cages for indirect calorimetry measured using the Oxymax CLAMS home cage system. After 2 days of equilibration, mice were maintained at thermoneutrality (30°C), room temperature (22°C), or cold stressed (4°C) over a 24-hr period at each temperature point. Oxygen consumption was quantified throughout these temperature transitions as described in the Methods section. (B) Male or female wild-type mice (Taar5+/+) or mice lacking the TMA receptor (Taar5-/) were necropsied at the beginning of the light cycle (ZT2) or the beginning of the dark cycle (ZT14) and subscapular brown adipose tissue (BAT) was harvested to examine gene. The relative gene expression for circadian genes (Bmal1l, Nr1d1, Cry1, and Per1) was quantified by qPCR using the ΔΔ-CT method. Data represent the mean ± SEM from n = 5–9 per group. Significant differences between Taar5+/+ and Taar5-/- mice were determined by Student’s t-tests within each individual time point (*p < 0.05).

Figure 3 with 2 supplements
The trimethylamine receptor TAAR5 shapes circadian oscillations in the gut microbiome.

Male chow-fed wild-type (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were necropsied at 4-hr intervals to collect cecum for microbiome composition analyses via sequencing the V4 region of the 16S rRNA (genus level changes are shown). (A) Canonical correspondence analysis (CCA) based beta diversity analyses show distinct microbiome compositions in Taar5+/+ and Taar5-/- mice. Statistical significance and beta dispersion were estimated using PERMANOVA. (B) The relative abundance of cecal microbiota in Taar5+/+ and Taar5-/- mice. Significantly altered cecal microbial genera in Taar5+/+ and Taar5-/- mice are shown at ZT2 (C), ZT6 (D), ZT10 (E), ZT14 (F), ZT18 (G), and ZT22 (H). ASVs that were significantly different in abundance (MetagenomeSeq with Benjamini–Hochberg false discovery rate (FDR) multiple test correction, adjusted p < 0.01). Data shown represent the means ± SD for n = 3–6 individual mice per group. Group differences were determined using ANOVA with Benjamini–Hochberg FDR multiple test correction, *adjusted p < 0.01.

Figure 3—figure supplement 1
TAAR5-deficient mice have altered circadian oscillations in the gut microbiome at the phylum level.

Male chow-fed wild-type (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were necropsied at 4-hr intervals to collect cecum for microbiome composition analyses via sequencing the V4 region of the 16S rRNA (phylum level changes are shown). Data shown represent the means ± SD for n = 3–6 individual mice per group. The relative abundance of cecal microbiota at the phylum level is shown, and group differences were determined using cosinor analyses. p-values are provided where there were statistically significant differences between Taar5+/+ and Taar5-/- mice.

Figure 3—figure supplement 2
TAAR5-deficient mice have altered circadian oscillations in the gut microbiome.

Male chow-fed wild-type (Taar5+/+) or mice lacking the TMA receptor (Taar5-/-) were necropsied at 4-hr intervals to collect cecum for microbiome composition analyses via sequencing the V4 region of the 16S rRNA (genus level changes are shown). The relative abundance of cecal microbiota at the genus level is shown, and group differences were determined using cosinor analyses. p-values are provided where there were statistically significant differences between Taar5+/+ and Taar5-/- mice. Data shown represent the means ± SD for n = 3–6 individual mice per group. Group differences were tested using cosinor analyses (key statistics represented here), and the complete cosinor statistical analysis for circadian data can be found in Supplementary file 1. *Significant differences are also shown between Taar5+/+ and Taar5-/- mice by Student’s t-tests within each ZT time point (p < 0.05).

Figure 4 with 2 supplements
Transplanting a defined synthetic microbial community with or without genetically deleted trimethylamine production capacity (ΔcutC) alters host circadian rhythms.

Germ-free C57Bl/6 mice (recipients) were gavaged with the core community (B. caccae, B. ovatus, B. thetaiotaomicron, C. aerofaciens, and E. rectale) with TMA producing wild-type (WT) C. sporogenes (produces TMAO) or C. sporogenes ΔcutC. Gnotobiotic mice were then necropsied at 4-hr intervals to collect tissues including plasma (A, C) and olfactory bulb (B). (A) Plasma levels of TMAO pathway metabolites (choline, L-carnitine, betaine, γ-butyrobetaine, trimethylamine (TMA), and trimethylamine N-oxide (TMAO)) were quantified by liquid chromatography–tandem mass spectrometry (LC–MS/MS). (B) PCR was performed on olfactory bulb to examine key circadian clock regulators. (C) Plasma levels of metabolic hormones (insulin, GLP-1, and leptin) and select cytokines including interleukins (IL-1β, IL-2, and IL-33) were measured as described in the Methods section. Data shown represent the means ± SEM for n = 5–6 individual mice per group. Differences between WT-cutC and ΔcutC groups were determined using cosinor analyses, and p-values are provided where there were statistically significant differences between groups for circadian statistics. The complete cosinor statistical analysis for circadian data can be found in Supplementary file 1. Significant differences between WT-cutC and ΔcutC groups were also analyzed by Student’s t-tests within each ZT time point (*p < 0.05 and **p < 0.01).

Figure 4—figure supplement 1
The oscillatory patterns of the TMAO-defined community are altered when cutC is genetically deleted.

Germ-free C57Bl/6 mice (recipients) were gavaged with the core community (B. caccae, B. ovatus, B. thetaiotaomicron, C. aerofaciens, and E. rectale) with TMA producing wild-type (WT) C. sporogenes (produces TMAO) or C. sporogenes ΔcutC. Gnotobiotic mice were then necropsied at 4-hr intervals to collect cecum for shotgun metagenomic sequencing. The total abundance is shown for each of the five bacteria represented in the defined community over the 24-hr circadian period. Differences between WT-cutC and ΔcutC groups were determined using cosinor analyses, and p-values are provided where there were statistically significant differences between groups for circadian statistics. The complete cosinor statistical analysis for circadian data can be found in Supplementary file 1. Significant differences between WT-cutC and ΔcutC groups were also analyzed by Student’s t-tests within each ZT time point (*p < 0.05 and **p < 0.01). Data shown represent the means ± SEM for n = 5–6 individual mice per group.

Figure 4—figure supplement 2
Mice lacking either gut microbial TMA production or host-driven TMA oxidation have altered circadian rhythms.

(A,B) Female germ-free C57Bl/6 mice (recipients) were gavaged with the core community (B. caccae, B. ovatus, B. thetaiotaomicron, C. aerofaciens, and E. rectale) with TMA producing wild-type (WT) C. sporogenes (produces TMAO) or C. sporogenes ΔcutC. Gnotobiotic mice were then necropsied at 4-hr intervals to collect tissues including subscapular brown adipose tissue (A) and plasma (B). Gene expression was quantified by qPCR and metabolite levels were quantified by LC–MS/MS as described in the Method section. Data for panels A and B were analyzed by cosinor analyses and representative p-values are shown; The complete statistical analysis for cosinor circadian metrics can be found in Supplementary file 1. (C) Female wild-type (Fmo3+/+) or flavin-containing monooxygenase 3 knockout (Fmo3-/-) mice were necropsied at ZT2 or ZT14, and TMAO levels were measured by LC–MS/MS and olfactory bulb circadian gene expression was quantified by qPCR. Data shown represent the means ± SEM for n = 4–6 individual mice per group. Significant differences between by Student’s t-tests within each ZT time point (*p < 0.05 and **p < 0.01).

Summary of findings.

Dietary choline is converted by gut microbial CutC/D into TMA, which signals through the host receptor TAAR5 or is converted to TMAO by hepatic FMO3. Loss of TAAR5 disrupts core circadian gene oscillations (particularly in the olfactory bulb), alters time-of-day regulation of cytokines, hormones, metabolites, and reveals time-dependent changes in innate and repetitive behaviors, alongside dysregulated oscillatory microbiome dynamics. Eliminating microbial cutC similarly rewires circadian oscillations in host immune and metabolic pathways, and microbial strains themselves exhibit altered rhythmicity depending on cutC status. Likewise, Fmo3⁻/⁻ mice display disturbed circadian gene rhythms, together defining a microbial TMA–TAAR5–FMO3 axis as a key regulator of circadian control, inflammation, and metabolic disease-relevant physiology.

Tables

Appendix 1—key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Strain, strain backgroundBacteroides thetaiotaomicronATCCVPI-5482
Strain, strain backgroundBacteroides caccaeATCCATCC 43185
Strain, strain backgroundBacteroides ovatusATCCATCC 8483
Strain, strain backgroundCollinsella aerofaciensATCCATCC 25986
Strain, strain backgroundEubacterium rectaleATCCATCC 33656
Strain, strain backgroundClostridium sporogenesATCCATCC 15579
Strain, strain backgroundClostridium sporogenes ΔcutCDr. Michael Fischbach at Stanford UniversityN/AMutant strain
Chemical compound, drugCholine chlorideSigma#C7017LC/MS standard
Chemical compound, drugCholine chloride (trimethyl-D₉, 98%)Cambridge Isotope Laboratories, Inc#DLM-549-MPT-PKLC/MS standard
Chemical compound, drugBetaineSigma#61962LC/MS standard
Chemical compound, drugN-(Carboxymethyl)-N,N,N-trimethyl-d9-ammonium
chloride
C/D/N Isotopes Inc#D-3352LC/MS standard
Chemical compound, drugL-Carnitine hydrochlorideSigma#94954LC/MS standard
Chemical compound, drugL-Carnitine-d3 HCl (N-methyl-d3)C/D/N Isotopes Inc#D-5069LC/MS standard
Chemical compound, drug(3-Carboxypropyl)trimethylammonium
chloride (butyrobetaine)
Sigma#403245LC/MS standard
Chemical compound, drugButyrobetaine-d9Wang et al., 2015NALC/MS standard
Chemical compound, drug5-Hydroxyindole-3-acetic acidSigma#H8876LC/MS standard
Chemical compound, drug5-Hydroxyindole-3-acetic-2,2-D2 AcidCDN Isotopes#D-1547LC/MS standard
Chemical compound, drugHippuric acidSigma#8206490100LC/MS standard
Chemical compound, drugN-Benzoyl-d5-glycineCDN Isotopes#D-5588LC/MS standard
Chemical compound, drug4-OH-Hippuric acidSanta Cruz Biotechnology#SC-277427LC/MS standard
Chemical compound, drug3-Hydroxyhippuric acidTRC#H943125LC/MS standard
Chemical compound, drug2-Hydroxyhippuric acidCarbosynth#FH240191601LC/MS standard
Chemical compound, drugIndole-3-propionic acidAlfa Aesar#L04877LC/MS standard
Chemical compound, drugIndole-3-propionic-2,2-D2 acidCDN Isotopes#D-7686LC/MS standard
Chemical compound, drugMethylindole-3-acetateSigma#I9770LC/MS standard
Chemical compound, drugDL-Indole-3-lactic acidChem-Impex#21729LC/MS standard
Chemical compound, drugPhenylacetic acidAldrich#P16621LC/MS standard
Chemical compound, drugPhenylacetic Acid-1,2-13C2Chem Cruz#SC-236371LC/MS standard
Chemical compound, drugDL-p-Hydrophenyllactic acidAldrich#H3253LC/MS standard
Chemical compound, drugIndoxyl-glucuronideAbcam#Ab146380LC/MS standard
Chemical compound, drugL-Tryptophan-2′,4′,5′,6′,7′-d5 (indole-d5)CDN Isotopes#D-1522LC/MS standard
Chemical compound, drugSerotoninSigma#H-9523LC/MS standard
Chemical compound, drugTryptamineAldrich#193747LC/MS standard
Chemical compound, drugTryptamine-α,α,β,β-D4 HClCDN Isotopes#D-1546LC/MS standard
Chemical compound, drug3-Indoleacetic acidAldrich#I3750LC/MS standard
Chemical compound, drugIndole-3-acetic-2,2-D2 acidCDN Isotopes#D-1709LC/MS standard
Chemical compound, drugSodium phenyl sulfateEnamine#EN300-1704008LC/MS standard
Chemical compound, drugTMAOSigma#317594LC/MS standard
Chemical compound, drugTrimethylamine N-oxide (D₉, 98%)Cambridge Isotope Laboratories, Inc#DLM-4779-1LC/MS standard
Chemical compound, drugPhenylacetyl-L-glutamineChem-Impex#16414LC/MS standard
Chemical compound, drugN-alpha-(phenyl-d5-acetyl)-L-glutamineCDN Isotopes#D-6900LC/MS standard
Chemical compound, drugPotassium p-tolyl sulfate P-cresol sulfate K-saltTCI#P2091LC/MS standard
Chemical compound, drugp-Cresol sulfate, potassium salt (D₇, 98%)Cambridge Isotope Laboratories, Inc#DLM-9786LC/MS standard
Chemical compound, drug3-Indoxyl sulfate potassium saltChem-Impex#21710LC/MS standard
Chemical compound, drug3-Indoxyl sulfate-d4 potassium saltTRC#I655102LC/MS standard
Chemical compound, drugPhenylacetylglycineBachem#4016439LC/MS standard
Chemical compound, drugtrans-3-Indoleacrylic acidAldrich#I3807LC/MS standard
Chemical compound, drug4-Ethylphenyl sulfate potassium saltTRC#E925865LC/MS standard
Chemical compound, drugTrimethylamine hydrochlorideSigma#41284LC/MS standard
Chemical compound, drugTrimethylamine:DCl (D₁₀, 98%)Cambridge Isotope Laboratories, Inc#DLM-1817-5LC/MS standard
Commercial assay, kitMonarch Total RNA Miniprep KitNew England BioLabs#T2010S
Commercial assay, kitV-Plex Cytokine Panel 1 Mouse KitMesoscale Discovery#K15245D
Commercial assay, kitV-Plex Pro-Inflammatory Panel 1 Mouse KitMesoscale Discovery#K15048D
Commercial assay, kitU-Plex Metabolic Combo Mouse KitMesoscale Discovery#K15297K
Commercial assay, kitUltra Sensitive Mouse Insulin ELISACrystal Chem Inc#90080
Commercial assay, kitDNeasy PowerSoil Pro KitQIAGEN#47014
Strain, strain backgroundGerm/free C57BL/6NTacTaconicStock #: B6-GF-F
Strain, strain backgroundC57BL/6JJackson#00664
Strain, strain backgroundC57BL/6J Taar5-/-This paperNACreated from ES cell clone 10675A-A8 and originated on the C57BL/6N background by Regeneron Pharmaceuticals, Inc
Strain, strain backgroundC57BL/6J Fmo3-/-Massey et al. (Attané et al., 2016)NA
Sequence-based reagentLacZ ForwardSigmaPCR primerCCAACGTGACCTATCCCATTAC
Sequence-based reagentLacZ ReverseSigmaPCR primerATCTTCCTGAGGCCGATACT
Sequence-based reagentBmal1 ForwardSigmaPCR primerCCAAGAAAGTATGGACACAGACAAA
Sequence-based reagentBmal1 ReverseSigmaPCR primerGCATTCTTGATCCTTCCTTGGT
Sequence-based reagentNr1d1 ForwardSigmaPCR primerATGCCAATCATGCATCAGGT
Sequence-based reagentNr1d1 ReverseSigmaPCR primerCCCATTGCTGTTAGGTTGGT
Sequence-based reagentPer1 ForwardSigmaPCR primerTGTCCTGGTTTCGAAGTGTG
Sequence-based reagentPer1 ReverseSigmaPCR primerTGTGTCAAGCAGGTTCAGG
Sequence-based reagentPer2 ForwardSigmaPCR primerGCTGACGCACACAAAGAACT
Sequence-based reagentPer2 ReverseSigmaPCR primerTAGCCTTCACCTGCTTCACG
Sequence-based reagentClock ForwardSigmaPCR primerAGGCACAGACATTATCGG
Sequence-based reagentClock ReverseSigmaPCR primerACCGTCTCATCAAGGGAC
Sequence-based reagentCry1 ForwardSigmaPCR primerTACTGGGAAACGCTGAACCC
Sequence-based reagentCry1 ReverseSigmaPCR primerACCCCAAGCTTGTTGCCTAA
Sequence-based reagentCry2 ForwardSigmaPCR primerGCTGGAAGCAGCCGAGGAACC
Sequence-based reagentCry2 ReverseSigmaPCR primerGGGCTTTGCTCACGGAGCGA
Sequence-based reagentPrdm16 ForwardSigmaPCR primerCAGCACGGTGAAGCCATTC
Sequence-based reagentPrdm16 ReverseSigmaPCR primerGCGTGCATCCGCTTGTG
Sequence-based reagentUcp1 ForwardSigmaPCR primerACTGCCACACCTCCAGTCATT
Sequence-based reagentUcp1 ReverseSigmaPCR primerCTTTGCCTCACTCAGGATTGG
Sequence-based reagentPemt ForwardSigmaPCR primerTGTGCTGTCCAGCTTCTATG
Sequence-based reagentPemt ReverseSigmaPCR primerGAAGGGAAATGTGGTCACTCT
Sequence-based reagentPdk4 ForwardSigmaPCR primerGTGCTCTCTGGTCCTCTGTG
Sequence-based reagentPdk4 ReverseSigmaPCR primerAGTCCAACGGACAAAACGGA
Sequence-based reagentFmo3 ForwardSigmaPCR primerCCCACATGCTTTGAGAGGAG
Sequence-based reagentFmo3 ReverseSigmaPCR primerGGAAGAGTTGGTGAAGACCG
Sequence-based reagentCycloA ForwardSigmaPCR primerGCGGCAGGTCCATCTACG
Sequence-based reagentCycloA ReverseSigmaPCR primerGCCATCCAGCCATTCAGTC
Sequence-based reagentGapdh ForwardSigmaPCR primerCCTCGTCCCGTAGACAAAATG
Sequence-based reagentGapdh ReverseSigmaPCR primerTGAAGGGGTCGTTGATGGC
Software, algorithmGraphPad Prismhttps://www.graphpad.com/Version 10.4.1Statistical analysis/figures
Software, algorithmDADA2https://benjjneb.github.io/dada2/Version 3.16Cosinor analysis
Software, algorithmmetagenomeSeqhttps://github.com/HCBravoLab/metagenomeSeq; Paulson, 2024Version: Release (3.20)Cosinor analysis
Software, algorithmDAtesthttps://github.com/Russel88/DAtest; Russel, 2022Version 2.8.0Cosinor analysis
Software, algorithmDAtesthttps://github.com/Russel88/DAtestVersion 2.8.0Cosinor analysis
Software, algorithmggplot2https://cran.r-project.org/web/packages/ggplot2/index.htmlVersion 3.5.1Cosinor analysis
Software, algorithmcosinorhttps://cran.r-project.org/web/packages/cosinor/index.htmlVersion 1.2.3Cosinor analysis
Software, algorithmcosinor2https://cran.r-project.org/web/packages/cosinor2/index.htmlVersion 0.2.1Cosinor analysis
Software, algorithmEthoVision XT15 (video tracking software)NoldusNABehavioral testing
OtherqScriptQuantaBio#95048-100Realtime PCR
OtherFast SYBR Green Master MixApplied Biosystems#4385612Realtime PCR
OtherNutter Butter CookiesNabiscoNABehavioral testing
OtherMarblesMoon Marble CompanyNABehavioral testing
OtherSR-LAB-Startle Response SystemSan Diego Instruments#2325-0400Behavioral testing
OtherElevated Plus MazeNationwide PlasticsNABehavioral testing
OtherY MazeNationwide PlasticsNABehavioral testing
OtherForepaw Grip Strength MeterColumbus Instruments#1027SMBehavioral testing
OtherRotamex-5Columbus Instruments#0254-8000Behavioral testing
OtherFear Conditioning ChambersMed Associates#VFC-008Behavioral testing
OtherHot PlateUgo Basile#35300Behavioral testing
OtherOxyMax Clams Home Cage SystemColumbus InstrumentsNABehavioral testing

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  1. Kala K Mahen
  2. William J Massey
  3. Danny Orabi
  4. Amanda L Brown
  5. Thomas C Jaramillo
  6. Amy Burrows
  7. Anthony J Horak
  8. Sumita Dutta
  9. Marko Mrdjen
  10. Nour Mouannes
  11. Venkateshwari Varadharajan
  12. Lucas J Osborne
  13. Xiayan Ye
  14. Dante M Yarbrough
  15. Treg Grubb
  16. Natalie Zajczenko
  17. Rachel Hohe
  18. Rakhee Banerjee
  19. Pranavi Linga
  20. Dev Laungani
  21. Adeline M Hajjar
  22. Naseer Sangwan
  23. Mohammed Dwidar
  24. Jennifer A Buffa
  25. Garth R Swanson
  26. Zeneng Wang
  27. Jonathan Mark Brown
(2026)
Gut microbe-derived trimethylamine shapes circadian rhythms through the host receptor TAAR5
eLife 14:RP107037.
https://doi.org/10.7554/eLife.107037.3