9 research outputs found
Bulletin municipal officiel de la ville de Paris. Délibérations des assemblées de la Ville de Paris et du Département de la Seine. Conseil municipal de Paris
11 janvier 19621962/01/11 (A81,N17)
Additional file 4: Table S4. of The rumen microbial metagenome associated with high methane production in cattle
KEGG dataset in order of the ratio of gene abundance, high:low emitters. (XLSX 443 kb
Additional file 3: Table S3. of The rumen microbial metagenome associated with high methane production in cattle
KEGG dataset in order of average gene abundance. (XLSX 1400 kb
Additional file 1: Figure S1. of The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle
Relative abundance (%) of 20 groups of functional genes representing 204 selected genes (number of animals, n = 50 samples). The sum of the relative abundance (%) of genes grouping within the same function is shown in this figure. Figure S2A. Total abundance of 204 selected genes based on diet treatments (n = 50). *P value < 0.05. Figure S2B. Shannon index diversity of 204 selected genes based on diet treatments (n = 50). *P value < 0.05, °P value < 0.1. Figure S3. Canonical Variate analysis (CVA) on the structure of 204 genes selected based on breed, age, weight, Proteobacteria ratio, FCR and methane grouping (n = 50). Figure S4. Factors explaining the significant differences observed for Proteobacteria ratio (n = 50). Figure S5. Microbial community composition at the phylum level (n = 50). Table S1. Characteristics of the cattle used in the experiment. Table S2. Groups of AMR genes significantly correlated with abundance of the Proteobacteria phylum and Proteobacteria ratio. Table S3. The relative abundance of AMR genes. Table S4, Proteobacteria populations strongly correlated with the Proteobacteria ratio. Table S5. Functional genes significantly correlated with Proteobacteria ratio (PLS). Table S6. Cluster distribution of functional genes significantly different between diets. (DOCX 60 kb
Additional file 6: Figure S1. of The rumen microbial metagenome associated with high methane production in cattle
KEGG pathways associated with methane metabolism. Highlighted EC gene numbers are those genes that differed significantly between high and low emitting cattle. Red â genes that had higher abundance in high emitters; blue - genes that had lower abundance in high emitters. (DOC 22 kb
Additional file 5: Table S5. of The rumen microbial metagenome associated with high methane production in cattle
Gene abundance of genes of pyruvate metabolism in low and high methane steers. (DOCX 14 kb
Distribution of methane emissions and archaea:bacteria ratios within breed type and diet.
<p>The box plot shows the large variation and range of methane emissions (per day or per kg DMI = dry matter intake) and archaea:bacteria ratios within crossbred breed type (AA = Aberdeen Angus sired, LIM = Limousin sired) and diet (CON = concentrate based diet, FOR = forage based diet). The total number of animals in the 2 × 2 factorial design experiment was 68.</p
Heatmap of the relative abundance of microbial genes associated with methane emissions as identified in the partial least squares analysis.
<p>The relative abundance of microbial genes (blue = low to yellow = high) changed depending on methane emissions (g/kg DMI) for the animals selected for low and high methane emissions within breed type and diet. The labels on the horizontal axis indicate the crossbred breed type (AA = Aberdeen Angus sired, LIM = Limousin sired), diet (CON = concentrate based diet, FOR = forage based diet) and the amount of methane emissions (g/kg DMI).</p
Host genetic effects on methane emissions and relative microbial abundance.
<p>Host genetic effects were estimated by least squares means (± standard errors, different letters above bars indicate significant different estimates) of sire progeny groups (AA = Aberdeen Angus sired, LIM = Limousin sired) adjusted for diet, respiration chamber and randomized block effects. Relative microbial abundance was calculated as archaea:bacteria ratio.</p