Polizel Guilherme Henrique Gebim, Diniz Wellison J S, Cesar Aline Silva Mello, Ramírez-Zamudio German D, Cánovas Angela, Dias Evandro Fernando Ferreira, Fernandes Arícia Christofaro, Prati Barbara Carolina Teixeira, Furlan Édison, Pombo Gabriela do Vale, Santana Miguel Henrique de Almeida
Department of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, SP, 13635-900, Brazil.
Department of Animal Sciences, College of Agriculture, Auburn University, Auburn, AL, 36849, USA.
BMC Genomics. 2025 Apr 10;26(1):359. doi: 10.1186/s12864-025-11545-6.
This study assessed the long-term metabolic effects of prenatal nutrition in Nelore bulls through an integrated analysis of metabolome and microbiome data to elucidate the interconnected host-microbe metabolic pathways. To this end, a total of 126 cows were assigned to three supplementation strategies during pregnancy: NP (control)- only mineral supplementation; PP- protein-energy supplementation during the last trimester; and FP- protein-energy supplementation throughout pregnancy. At the end of the finishing phase, blood, fecal, and ruminal fluid samples were collected from 63 male offspring. The plasma underwent targeted metabolomics analysis, and fecal and ruminal fluid samples were used to perform 16 S rRNA gene sequencing. Metabolite and ASV (amplicon sequence variant) co-abundance networks were constructed for each treatment using the weighted gene correlation network analysis (WGCNA) framework. Significant modules (p ≤ 0.1) were selected for over-representation analyses to assess the metabolic pathways underlying the metabolome (MetaboAnalyst 6.0) and the microbiome (MicrobiomeProfiler). To explore the metabolome-metagenome interplay, correlation analyses between host metabolome and microbiome were performed. Additionally, a holistic integration of metabolic pathways was performed (MicrobiomeAnalyst 2.0).
A total of one and two metabolite modules associated with the NP and FP were identified, respectively. Regarding fecal microbiome, three, one, and two modules for the NP, PP, and FP were identified, respectively. The rumen microbiome demonstrated two modules correlated with each of the groups under study. Metabolite and microbiome enrichment analyses revealed the main metabolic pathways associated with lipid and protein metabolism, and regulatory mechanisms. The correlation analyses performed between the host metabolome and fecal ASVs revealed 13 and 12 significant correlations for NP and FP, respectively. Regarding the rumen, 16 and 17 significant correlations were found for NP and FP, respectively. The NP holistic analysis was mainly associated with amino acid and methane metabolism. Glycerophospholipid and polyunsaturated fatty acid metabolism were over-represented in the FP group.
Prenatal nutrition significantly affected the plasma metabolome, fecal microbiome, and ruminal fluid microbiome of Nelore bulls, providing insights into key pathways in protein, lipid, and methane metabolism. These findings offer novel discoveries about the molecular mechanisms underlying the effects of prenatal nutrition.
Not applicable.
本研究通过对代谢组和微生物组数据进行综合分析,评估了内洛尔公牛产前营养的长期代谢影响,以阐明宿主-微生物相互关联的代谢途径。为此,在怀孕期间将总共126头母牛分配到三种补充策略:NP(对照)——仅补充矿物质;PP——在妊娠最后三个月补充蛋白质-能量;FP——在整个孕期补充蛋白质-能量。在育肥阶段结束时,从63头雄性后代中采集血液、粪便和瘤胃液样本。对血浆进行靶向代谢组学分析,粪便和瘤胃液样本用于进行16S rRNA基因测序。使用加权基因共表达网络分析(WGCNA)框架为每种处理构建代谢物和ASV(扩增子序列变体)共丰度网络。选择显著模块(p≤0.1)进行过表达分析,以评估代谢组(MetaboAnalyst 6.0)和微生物组(MicrobiomeProfiler)潜在的代谢途径。为了探索代谢组-宏基因组的相互作用,对宿主代谢组和微生物组之间进行了相关性分析。此外,还进行了代谢途径的整体整合(MicrobiomeAnalyst 2.0)。
分别鉴定出与NP和FP相关的一个和两个代谢物模块。关于粪便微生物组,分别为NP、PP和FP鉴定出三个、一个和两个模块。瘤胃微生物组显示与所研究的每个组相关的两个模块。代谢物和微生物组富集分析揭示了与脂质和蛋白质代谢以及调节机制相关的主要代谢途径。在宿主代谢组和粪便ASV之间进行的相关性分析显示,NP和FP分别有13个和12个显著相关性。关于瘤胃,NP和FP分别发现16个和17个显著相关性。NP的整体分析主要与氨基酸和甲烷代谢相关。甘油磷脂和多不饱和脂肪酸代谢在FP组中过度表达。
产前营养显著影响内洛尔公牛的血浆代谢组、粪便微生物组和瘤胃液微生物组,为蛋白质、脂质和甲烷代谢的关键途径提供了见解。这些发现为产前营养影响的分子机制提供了新的发现。
不适用。