Nitrate and Inhibition of Ruminal Methanogenesis : Microbial Ecology, Obstacles, and Opportunities for Lowering Methane Emissions from Ruminant Livestock

Acknowledgments CY was supported by a scholarship from the China Scholarship Council. IC was supported by the SRUC International Engagement Strategy Fund. The nitrate project was funded by EBLEX, a Division of the Agriculture and Horticulture Development Board. RINH and SRUC are funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government.Peer reviewedPublisher PD

Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle

The Rowett Institute of Nutrition and Health and SRUC are funded by the Rural and Environment Science and Analytical Services Division (RESAS) of the Scottish Government. The project was supported by DEFRA and DA funded Agricultural Greenhouse Gas Inventory Research Platform. Our thanks are due to the excellent support staff at the SRUC Beef Research Centre, Edinburgh, also to Graham Horgan of BioSS, Aberdeen, for conducting multivariate analysis.Peer reviewedPublisher PD

The Claims Culture: A Taxonomy of Industry Attitudes

This paper presents an analysis of a familiar aspect of construction industry culture that we have dubbed 'the claims culture'. This is a culture of contract administration that lays a strong emphasis on the planning and management of claims. The principal elements of the analysis are two sets of distinctions. The first comprises economic and occupational orders, referring to two kinds of control that are exercised over the construction process; predicated respectively on economic ownership and occupational competence. The second refers to contrasting attitudes towards relationships and problem solving within these orders: respectively 'distributive' and 'integrative'. The concepts of economic and occupational order entail further sub-categories. The various attitudes associated with these categories and sub-categories are described. They are assessed as to their consequences for change initiatives in the industry

Identification of Complex Rumen Microbiome Interaction Within Diverse Functional Niches as Mechanisms Affecting the Variation of Methane Emissions in Bovine

A network analysis including relative abundances of all ruminal microbial genera (archaea, bacteria, fungi, and protists) and their genes was performed to improve our understanding of how the interactions within the ruminal microbiome affects methane emissions (CH 4). Metagenomics and CH 4 data were available from 63 bovines of a two-breed rotational cross, offered two basal diets. Co-abundance network analysis revealed 10 clusters of functional niches. The most abundant hydrogenotrophic Methanobacteriales with key microbial genes involved in methanogenesis occupied a different functional niche (i.e., "methanogenesis" cluster) than methylotrophic Methanomassiliicoccales (Candidatus Methanomethylophylus) and acetogens ( Blautia). Fungi and protists clustered together and other plant fiber degraders like Fibrobacter occupied a seperate cluster. A Partial Least Squares analysis approach to predict CH 4 variation in each cluster showed the methanogenesis cluster had the best prediction ability (57.3%). However, the most important explanatory variables in this cluster were genes involved in complex carbohydrate degradation, metabolism of sugars and amino acids and Candidatus Azobacteroides carrying nitrogen fixation genes, but not methanogenic archaea and their genes. The cluster containing Fibrobacter, isolated from other microorganisms, was positively associated with CH 4 and explained 49.8% of its variability, showing fermentative advantages compared to other bacteria and fungi in providing substrates (e.g., formate) for methanogenesis. In other clusters, genes with enhancing effect on CH 4 were related to lactate and butyrate ( Butyrivibrio and Pseudobutyrivibrio) production and simple amino acids metabolism. In comparison, ruminal genes negatively related to CH 4 were involved in carbohydrate degradation via lactate and succinate and synthesis of more complex amino acids by γ-Proteobacteria. When analyzing low- and high-methane emitters data in separate networks, competition between methanogens in the methanogenesis cluster was uncovered by a broader diversity of methanogens involved in the three methanogenesis pathways and larger interactions within and between communities in low compared to high emitters. Generally, our results suggest that differences in CH 4 are mainly explained by other microbial communities and their activities rather than being only methanogens-driven. Our study provides insight into the interactions of the rumen microbial communities and their genes by uncovering functional niches affecting CH 4, which will benefit the development of efficient CH 4 mitigation strategies

Reducing arthritis fatigue impact: Two-year randomised controlled trial of cognitive behavioural approaches by rheumatology teams (RAFT)

© Author(s) (or their employer(s)) 2019. Objectives To see if a group course delivered by rheumatology teams using cognitive-behavioural approaches, plus usual care, reduced RA fatigue impact more than usual care alone. Methods Multicentre, 2-year randomised controlled trial in RA adults (fatigue severity>6/10, no recent major medication changes). RAFT (Reducing Arthritis Fatigue: Clinical Teams using CB approaches) comprises seven sessions, codelivered by pairs of trained rheumatology occupational therapists/nurses. Usual care was Arthritis Research UK fatigue booklet. Primary 26-week outcome fatigue impact (Bristol RA Fatigue Effect Numerical Rating Scale, BRAF-NRS 0-10). Intention-to-treat regression analysis adjusted for baseline scores and centre. Results 308/333 randomised patients completed 26 week data (156/175 RAFT, 152/158 Control). Mean baseline variables were similar. At 26 weeks, the adjusted difference between arms for fatigue impact change favoured RAFT (BRAF-NRS Effect-0.59, 95% CI -1.11 to -0.06), BRAF Multidimensional Questionnaire (MDQ) Total-3.42 (95% CI -6.44 to -0.39), Living with Fatigue-1.19 (95% CI -2.17 to -0.21), Emotional Fatigue-0.91 (95% CI -1.58 to -0.23); RA Self-Efficacy (RASE, +3.05, 95% CI 0.43 to 5.66) (14 secondary outcomes unchanged). Effects persisted at 2 years: BRAF-NRS Effect-0.49 (95% CI-0.83 to -0.14), BRAF MDQ Total-2.98 (95% CI-5.39 to -0.57), Living with Fatigue-0.93 (95% CI-1.75 to -0.10), Emotional Fatigue-0.90 (95% CI-1.44, to -0.37); BRAF-NRS Coping +0.42 (95% CI 0.08 to 0.77) (relevance of fatigue impact improvement uncertain). RAFT satisfaction: 89% scored ≥ 8/10 vs 54% controls rating usual care booklet (

Three Novel Pigmentation Mutants Generated by Genome-Wide Random ENU Mutagenesis in the Mouse

Three mutant mice with pigmentation phenotypes were recovered from a genomewide random mouse chemical mutagenesis study. White toes (Whto; MGI:1861986), Belly spot and white toes (Bswt; MGI:2152776) and Dark footpads 2 (Dfp2; MGI:1861991) were identified following visual inspection of progeny from a male exposed to the point mutagen ethylnitrosourea (ENU). In order to rapidly localize the causative mutations, genome-wide linkage scans were performed on pooled DNA samples from backcross animals for each mutant line. Whto was mapped to proximal mouse chromosome (Mmu) 7 between Cen (the centromere) and D7Mit112 (8.0 cM from the centromere), Bswt was mapped to centric Mmul between D1Mit214 (32.1 cM) and D1Mit480 (32.8 cM) and Dfp2 was mapped to proximalMmu4 between Cen and D4Mit18 (5.2 cM). Whto, Bswt and Dfp2 may provide novel starting points in furthering the elucidation of genetic and biochemical pathways relevant to pigmentation and associated biological processes

The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle

Abstract Background The emergence and spread of antimicrobial resistance is the most urgent current threat to human and animal health. An improved understanding of the abundance of antimicrobial resistance genes and genes associated with microbial colonisation and pathogenicity in the animal gut will have a major role in reducing the contribution of animal production to this problem. Here, the influence of diet on the ruminal resistome and abundance of pathogenicity genes was assessed in ruminal digesta samples taken from 50 antibiotic-free beef cattle, comprising four cattle breeds receiving two diets containing different proportions of concentrate. Results Two hundred and four genes associated with antimicrobial resistance (AMR), colonisation, communication or pathogenicity functions were identified from 4966 metagenomic genes using KEGG identification. Both the diversity and abundance of these genes were higher in concentrate-fed animals. Chloramphenicol and microcin resistance genes were dominant in samples from forage-fed animals (P < 0.001), while aminoglycoside and streptomycin resistances were enriched in concentrate-fed animals. The concentrate-based diet also increased the relative abundance of Proteobacteria, which includes many animal and zoonotic pathogens. A high ratio of Proteobacteria to (Firmicutes + Bacteroidetes) was confirmed as a good indicator for rumen dysbiosis, with eight cases all from concentrate-fed animals. Finally, network analysis demonstrated that the resistance/pathogenicity genes are potentially useful as biomarkers for health risk assessment of the ruminal microbiome. Conclusions Diet has important effects on the complement of AMR genes in the rumen microbial community, with potential implications for human and animal health

Group cognitive–behavioural programme to reduce the impact of rheumatoid arthritis fatigue: The RAFT RCT with economic and qualitative evaluations

BACKGROUND: Fatigue is a major problem in rheumatoid arthritis (RA). There is evidence for the clinical effectiveness of cognitive-behavioural therapy (CBT) delivered by clinical psychologists, but few rheumatology units have psychologists. OBJECTIVES: To compare the clinical effectiveness and cost-effectiveness of a group CBT programme for RA fatigue [named RAFT, i.e. Reducing Arthritis Fatigue by clinical Teams using cognitive-behavioural (CB) approaches], delivered by the rheumatology team in addition to usual care (intervention), with usual care alone (control); and to evaluate tutors' experiences of the RAFT programme. DESIGN: A randomised controlled trial. Central trials unit computerised randomisation in four consecutive cohorts within each of the seven centres. A nested qualitative evaluation was undertaken. SETTING: Seven hospital rheumatology units in England and Wales. PARTICIPANTS: Adults with RA and fatigue severity of ≥ 6 [out of 10, as measured by the Bristol Rheumatoid Arthritis Fatigue Numerical Rating Scale (BRAF-NRS)] who had no recent changes in major RA medication/glucocorticoids. INTERVENTIONS: RAFT - group CBT programme delivered by rheumatology tutor pairs (nurses/occupational therapists). Usual care - brief discussion of a RA fatigue self-management booklet with the research nurse. MAIN OUTCOME MEASURES: Primary - fatigue impact (as measured by the BRAF-NRS) at 26 weeks. Secondary - fatigue severity/coping (as measured by the BRAF-NRS); broader fatigue impact [as measured by the Bristol Rheumatoid Arthritis Fatigue Multidimensional Questionnaire (BRAF-MDQ)]; self-reported clinical status; quality of life; mood; self-efficacy; and satisfaction. All data were collected at weeks 0, 6, 26, 52, 78 and 104. In addition, fatigue data were collected at weeks 10 and 18. The intention-to-treat analysis conducted was blind to treatment allocation, and adjusted for baseline scores and centre. Cost-effectiveness was explored through the intervention and RA-related health and social care costs, allowing the calculation of quality-adjusted life-years (QALYs) with the EuroQol-5 Dimensions, five-level version (EQ-5D-5L). Tutor and focus group interviews were analysed using inductive thematic analysis. RESULTS: A total of 308 out of 333 patients completed 26 weeks (RAFT, n/N = 156/175; control, n/N = 152/158). At 26 weeks, the mean BRAF-NRS impact was reduced for the RAFT programme (-1.36 units; p

Models and metaphors: complexity theory and through-life management in the built environment

Complexity thinking may have both modelling and metaphorical applications in the through-life management of the built environment. These two distinct approaches are examined and compared. In the first instance, some of the sources of complexity in the design, construction and maintenance of the built environment are identified. The metaphorical use of complexity in management thinking and its application in the built environment are briefly examined. This is followed by an exploration of modelling techniques relevant to built environment concerns. Non-linear and complex mathematical techniques such as fuzzy logic, cellular automata and attractors, may be applicable to their analysis. Existing software tools are identified and examples of successful built environment applications of complexity modelling are given. Some issues that arise include the definition of phenomena in a mathematically usable way, the functionality of available software and the possibility of going beyond representational modelling. Further questions arising from the application of complexity thinking are discussed, including the possibilities for confusion that arise from the use of metaphor. The metaphor of a 'commentary machine' is suggested as a possible way forward and it is suggested that an appropriate linguistic analysis can in certain situations reduce perceived complexity