Developing rumen mimicry process for biological ammonia synthesis

Adeniyi, Adewale George; Bello, Ibrahim; Mukaila, Taofeek; Monono, Ewumbua; Hammed, Ademola Monsur

doi:10.1007/s00449-023-02880-7

Cited by 6 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ammonium (NH4+) is thus produced by microorganisms, and if in excess, it is excreted into the environment as nutrients for uptake by plants or as feedstock for further nitrification [ 91 ]. HABs have been implicated in converting ~50% of ruminal dietary protein to ammonia [ 92 , 93 , 94 ].…”

Section: Biological Ammonia Productionmentioning

confidence: 99%

Trends in Biological Ammonia Production

Adeniyi

Bello

Mukaila

et al. 2023

BioTech

Self Cite

View full text Add to dashboard Cite

Food production heavily depends on ammonia-containing fertilizers to improve crop yield and profitability. However, ammonia production is challenged by huge energy demands and the release of ~2% of global CO2. To mitigate this challenge, many research efforts have been made to develop bioprocessing technologies to make biological ammonia. This review presents three different biological approaches that drive the biochemical mechanisms to convert nitrogen gas, bioresources, or waste to bio-ammonia. The use of advanced technologies—enzyme immobilization and microbial bioengineering—enhanced bio-ammonia production. This review also highlighted some challenges and research gaps that require researchers’ attention for bio-ammonia to be industrially pragmatic.

show abstract

Section: Biological Ammonia Productionmentioning

confidence: 99%

Trends in Biological Ammonia Production

Adeniyi

Bello

Mukaila

et al. 2023

BioTech

Self Cite

View full text Add to dashboard Cite

show abstract

“…Briefly, rumen microbiota produces certain types of enzymes that are involved in dietary protein degradation into smaller peptides and amino acids [ 2 ]. The non-protein nitrogenous part of the dietary protein such as ammonia and urea are utilized by these microorganisms for their growth, resulting in microbial protein contribution to overall protein nutrition [ 3 ]. Moreover, protein is a costly nutrient, and dietary concentration can have a direct influence on ruminants, particularly sheep performance as well as economic returns.…”

Section: Introductionmentioning

confidence: 99%

Effects of Dietary Protein Levels on Sheep Gut Metabolite Profiles during the Lactating Stage

Ali,

Ni,

Khan

et al. 2023

Animals

View full text Add to dashboard Cite

Diet-associated characteristics such as dietary protein levels can modulate the gut’s primary or secondary metabolites, leading to effects on the productive performance and overall health of animals. Whereas fecal metabolite changes are closely associated with gut metabolome, this study aimed to see changes in the rumen metabolite profile of lactating ewes fed different dietary protein levels. For this, eighteen lactating ewes (approximately 2 years old, averaging 38.52 ± 1.57 kg in their initial body weight) were divided into three groups (n = 6 ewes/group) by following the complete randomized design, and each group was assigned to one of three low-protein (D_I), medium-protein (D_m), and high-protein (D_h) diets containing 8.58%, 10.34%, and 13.93% crude protein contents on a dry basis, respectively. The fecal samples were subjected to untargeted metabolomics using ultra-performance liquid chromatography (UPLC). The metabolomes of the sheep fed to the high-protein-diet group were distinguished as per principal-component analysis from the medium- and low-protein diets. Fecal metabolite concentrations as well as their patterns were changed by feeding different dietary protein levels. The discriminating metabolites between groups of nursing sheep fed different protein levels were identified using partial least-squares discriminant analysis. The pathway enrichment revealed that dietary protein levels mainly influenced the metabolism-associated pathways (n = 63 and 39 in positive as well as negative ionic modes, respectively) followed by protein (n = 15 and 8 in positive as well as negative ionic modes, respectively) and amino-acid (n = 14 and 7 in positive as well as negative ionic modes, respectively) synthesis. Multivariate and univariate analyses showed comparative changes in the fecal concentrations of metabolites in both positive and negative ionic modes. Major changes were observed in protein metabolism, organic-acid biosynthesis, and fatty-acid oxidation. Pairwise analysis and PCA reveal a higher degree of aggregation within the D-h group than all other pairs. In both the PCA and PLS-DA plots, the comparative separation among the D_h/D_m, D_h/D_I, and D_m/D_I groups was superior in positive as well as negative ionic modes, which indicated that sheep fed higher protein levels had alterations in the levels of the metabolites. These metabolic findings provide insights into potentiated biomarker changes in the metabolism influenced by dietary protein levels. The target identification may further increase our knowledge of sheep gut metabolome, particularly regarding how dietary protein levels influence the molecular mechanisms of nutritional metabolism, growth performance, and milk synthesis of sheep.

show abstract