The effect of cysteamine hydrochloride and nitrate supplementation on in-vitro and in-vivo methane production and productivity of cattle

Sun, Yukun; Yan, Xiaogang; Ban, Zhibin; Yang, Huaming; Hegarty, R. S.; Zhao, Yongqiang

doi:10.1016/j.anifeedsci.2017.03.016

Cited by 26 publications

(25 citation statements)

References 33 publications

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“…The nitrogen (purity 99.99%) was passed into the incubation flask from the bottom at the speed of 200mL/min. Methane was carried by nitrogen into an AGM10 sensor (Sensors Europe GmbH, Erkrath, FRG) and the concentration of methane was measured and recorded every 6min [26]. The fermentation was terminated by placing flasks on ice.…”

Section: Methodsmentioning

confidence: 99%

“…For all the parameters, data was analyzed by the R-Studio software (version 7.2). Methane production was up to the approach of Sun et al [26]. A one-way analysis of variance (ANOVA) was carried out late in each bioassay to compare selected taxonomic groups (abundant phyla or genera), bacterial community indices observed OTUs or methane production indices.…”

Section: Methodsmentioning

confidence: 99%

“…However, in such cases, methane production could only be detected either at specific time points or at the final time point, and therefore, did not reveal the overall fermentation status well. Sun et al [26] used a new real-time in vitro fermentation system to determine the methane production time course when they studied the effect of cysteamine hydrochloride and nitrate supplementation on methane production and productivity in cattle. This system makes it possible to determine a more subtle fermentation state.…”

Section: Introductionmentioning

confidence: 99%

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Effect of different forage-to-concentrate ratios on ruminal bacterial structure and real-time methane production in sheep

Teng

Lang

et al. 2019

PLoS ONE

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Emission from ruminants has become one of the largest sources of anthropogenic methane emission in China. The structure of the rumen flora has a significant effect on methane production. To establish a more accurate prediction model for methane production, the rumen flora should be one of the most important parameters. The objective of the present study was to investigate the relationship among changes in rumen flora, nutrient levels, and methane production in sheep fed with the diets of different forage-to-concentration ratios, as well as to screen for significantly different dominant genera. Nine rumen-cannulated hybrid sheep were separated into three groups and fed three diets with forage-to-concentration ratios of 50:50, 70:30, and 90:10. Three proportions of the diets were fed according to a 3 × 3 incomplete Latin square, design during three periods of 15d each. The ruminal fluid was collected for real-time polymerase chain reaction (real-time PCR), high-throughput sequencing and in vitro rumen fermentation in a new real-time fermentation system wit. Twenty-two genera were screened, the abundance of which varied linearly with forage-to-concentration ratios and methane production. In addition, during the 12-hour in vitro fermentation, the appearance of peak concentration was delayed by 26-27min with the different structure of rumen bacteria. The fiber-degrading bacteria were positively correlated with this phenomenon, but starch-degrading and protein-degrading bacteria were negative correlated. These results would facilitate macro-control of rumen microorganisms and better management of diets for improved nutrition in ruminants. In addition, our findings would help in screening bacterial genera that are highly correlated with methane production.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of different forage-to-concentrate ratios on ruminal bacterial structure and real-time methane production in sheep

Teng

Lang

et al. 2019

PLoS ONE

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“…Animal and management . A total of 36 one-day-old Avian chickens (Hunan Shuncheng Industrial Co. Ltd., Hunan, China) were randomly split into three open-circuit calorimetry chambers ( Sun et al 2017 ) in a commercial chicken farm. One chamber was for the high-temperature treatment (HC), the second one for the medium temperature treatment (MC), and the third one for the low temperature treatment (LC).…”

Section: Methodsmentioning

confidence: 99%

Effects of Different Ambient Temperatures on Caecal Microbial Composition in Broilers

Yang

Cao

et al. 2021

Polish Journal of Microbiology

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Short-term or acute temperature stress affect the immune responses and alters the gut microbiota of broilers, but the influences of long-term temperature stress on stress biomarkers and the intestinal microbiota remains largely unknown. Therefore, we examined the effect of three long-term ambient temperatures (high (HC), medium (MC), and low (LC) temperature groups) on the gene expression of broilers’ heat shock proteins (Hsps) and inflammation – related genes, as well as the caecal microbial composition. The results revealed that Hsp70 and Hsp90 levels in HC group significantly increased, and levels of Hsp70, Hsp90, IL-6, TNF-α, and NFKB1 in LC group were significantly higher than in MC group (p < 0.05). In comparison with the MC group, the proportion of Firmicutes increased in HC and LC groups, while that of Bacteroidetes decreased in LC group at phylum level (p < 0.05). At genus level, the proportion of Escherichia/Shigella, Phascolarctobacterium, Parabacteroides, and Enterococcus increased in HC group; the fraction of Faecalibacterium was higher in LC group; and the percentage of Barnesiella and Alistipes decreased in both HC and LC groups (p < 0.05). Functional analysis based on communities’ phylogenetic investigation revealed that the pathways involved in environmental information processing and metabolism were enriched in the HC group. Those involved in cellular processes and signaling, metabolism, and gene regulation were enriched in LC group. Hence, we conclude that the long-term temperature stress can greatly alter the intestinal microbial communities in broilers and may further affect the host’s immunity and health.

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“…The nitrogen (purity 99.99%) was passed into the incubation flask from the bottom at the speed of 200 mL/min. Methane was carried by nitrogen into an AGM10 sensor (Sensors Europe GmbH, Erkrath, FRG) and the concentration of methane was measured and recorded every 6 min [26]. The fermentation was terminated by placing flasks on ice.…”

Section: Methodsmentioning

confidence: 99%

Effect of different forage-to-concentrate ratios on the structure of rumen bacteria and its relationship with nutrition levels and real-time methane production in sheep

Teng

Lang

et al. 2019

Preprint

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18Emission from ruminants has become the largest source of anthropogenic emission of 19 methane in China. The structure of the rumen flora has a significant effect on methane 20 production. To establish a more accurate prediction model for methane production, the rumen 21 flora should be one of the most important parameters. The objective of the present study was 22 to investigate the relationship among changes in rumen flora, nutrient levels, and methane 23 production in sheep fed with the diets of different forage-to-concentration ratios, as well as to 24 screen for significantly different dominant genera. Nine rumen-cannulated hybrid sheep were 25 separated into three groups and fed three diets with forage-to-concentration ratios of 50:50, 26 70:30, and 90:10. Three proportions of the diets were fed according to a 3 × 3 incomplete 27 Latin square, design during three periods of 15 d each. The ruminal fluid was collected for 28 real-time qPCR, high-throughput sequencing and in vitro rumen fermentation in a new 29 real-time fermentation system wit. Twenty-two genera were screened, the abundance of 30 which varied linearly with forage-to-concentration ratios and methane production. In 31 addition, during the 12-hour in vitro fermentation, the appearance of peak concentration was 32 delayed by 26-27 min with the different structure of rumen bacteria. The fiber-degrading 33 bacteria were positively correlated with this phenomenon, but starch-degrading and 34 protein-degrading bacteria were negative correlated. These results would facilitate 35 macro-control of rumen microorganisms and better management of diets for improved 36 nutrition in ruminants. In addition, our findings would help in screening bacterial genera that 37 are highly correlated with methane production. 38 Keywords: greenhouse gas, high-throughput sequencing, ruminant, rumen bacteria, rumen 3 39 fermentation 40 Introduction 41 Of the total methane emission in China, the emission from ruminants was estimated to 42 be approximately 17%, turning them into the largest anthropogenic source of methane 43 emission [1]. The emission of methane associated with agriculture is expected to see a 44 significant increase. Therefore, new strategies were needed for reducing the emission and 45 improving livestock productivity, which had been extensively studied and reviewed [2]. 46 Rumen is the main site of methane production [3], which provided a habitat for a 47 variety of microbes, including numerous species of bacteria, archaea, viruses, protozoa and 48 fungi [4]. In the anaerobic environment of the rumen, several organic compounds present 49 could eventually be decomposed into methane by a number of microorganisms [5]. The 50 composition of ruminal microbiome was affected by different factors, such as age, breed, 51 general well-being of the animal, its location as well as administration of feed and antibiotics 52 [6-8]. Furthermore, feedstuffs were the main factors regulating the composition and 53 functional patterns of ruminal microbiome [9-11]. Among t...

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The effect of cysteamine hydrochloride and nitrate supplementation on in-vitro and in-vivo methane production and productivity of cattle

Cited by 26 publications

References 33 publications

Effect of different forage-to-concentrate ratios on ruminal bacterial structure and real-time methane production in sheep

Effect of different forage-to-concentrate ratios on ruminal bacterial structure and real-time methane production in sheep

Effects of Different Ambient Temperatures on Caecal Microbial Composition in Broilers

Effect of different forage-to-concentrate ratios on the structure of rumen bacteria and its relationship with nutrition levels and real-time methane production in sheep

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