The developmental changes of fecal microbial composition and diversity in emu (Dromaius novaehallandiae) at early growth stages

The early postnatal period plays a crucial role in the establishment and maturation of the gut microbiome in avian hosts, significantly influencing their metabolic processes and overall health. This study was carried out to characterize the ontogenetic development of fecal microbiota in emus (<i>Dromaius novaehollandiae</i>) during critical early growth stages from days 7 to 28 post-hatch using 16S rRNA gene sequencing. The results indicated that rank abundance and rarefaction curves confirmed adequate sequencing depth for capturing microbial diversity across all age groups. The dominant phyla of fecal microbiota in emus included <i>Firmicutes</i>, <i>Proteobacteria</i>, and <i>Bacteroidetes</i>, with successional shifts observed at order, family, and genus levels. As emus advanced in age, fecal microbiota underwent significant changes in microbial community, diversity, and function. The <i>α</i>-diversity indices (Observed species, Shannon, PD whole tree, Chao1, and ACE) in the feces of emus peaked significantly at d 21 (<i>p</i> < 0.05). The <i>β</i>-diversity analysis revealed significant structural differences in microbial communities between different ages, particularly between d14 and d7, d21 vs. d7, and d14 vs. d28 (<i>p</i> < 0.05). Linear discriminant analysis Effect Size (LEfSe) identified 26 discriminative biomarkers with stage-specific enrichments, including <i>Turicibacter</i> (d7/d28), <i>Erysipelotrichaceae</i> (d7/d14), <i>Bacteroidetes</i> (d21), and <i>Corynebacteriaceae</i> as well as <i>Actinobacteria</i> (d28). T-test validation confirmed significant temporal variations in phylum (<i>Firmicutes</i>, <i>Actinobacteria</i>, and <i>Bacteroidetes</i>) and genus-level abundances (e.g., <i>Bacteroides</i> and <i>Lactobacillus</i>) in the feces of emus (<i>p</i> < 0.05). PICRUSt functional prediction indicated age-dependent metabolic pathway enrichment, including amino and nucleotide sugar metabolism (d7), oxidative phosphorylation (d14), ABC transporters and cysteine metabolism (d21), and genetic information processing pathways (d28). These results demonstrated dynamic, stage-specific restructuring of the fecal microbiota and its metabolic potential during early development in emus. This research presented the initial longitudinal assessment of fecal microbiota development in emus throughout their crucial early developmental stage, revealing age-dependent alterations in microbial composition and metabolic activity that could guide enhanced nutritional and health approaches for ratites.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2026-01-12
DOI
https://doi.org/10.3389/fmicb.2025.1744168
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The developmental changes of fecal microbial composition and diversity in emu (Dromaius novaehallandiae) at early growth stages

Yucheng Yin, Shuhan Pan, Huihua Zhang, Leru Deng et al.
Frontiers in Microbiology
Gut microbiota and health
article

The developmental changes of fecal microbial composition and diversity in emu (Dromaius novaehallandiae) at early growth stages

Yucheng Yin, Shuhan Pan, Huihua Zhang, Leru Deng, Xueyan Wei, Xinyi Chen, Wenling Huang, Cui Zhu
article en

Abstract

The early postnatal period plays a crucial role in the establishment and maturation of the gut microbiome in avian hosts, significantly influencing their metabolic processes and overall health. This study was carried out to characterize the ontogenetic development of fecal microbiota in emus (<i>Dromaius novaehollandiae</i>) during critical early growth stages from days 7 to 28 post-hatch using 16S rRNA gene sequencing. The results indicated that rank abundance and rarefaction curves confirmed adequate sequencing depth for capturing microbial diversity across all age groups. The dominant phyla of fecal microbiota in emus included <i>Firmicutes</i>, <i>Proteobacteria</i>, and <i>Bacteroidetes</i>, with successional shifts observed at order, family, and genus levels. As emus advanced in age, fecal microbiota underwent significant changes in microbial community, diversity, and function. The <i>α</i>-diversity indices (Observed species, Shannon, PD whole tree, Chao1, and ACE) in the feces of emus peaked significantly at d 21 (<i>p</i> < 0.05). The <i>β</i>-diversity analysis revealed significant structural differences in microbial communities between different ages, particularly between d14 and d7, d21 vs. d7, and d14 vs. d28 (<i>p</i> < 0.05). Linear discriminant analysis Effect Size (LEfSe) identified 26 discriminative biomarkers with stage-specific enrichments, including <i>Turicibacter</i> (d7/d28), <i>Erysipelotrichaceae</i> (d7/d14), <i>Bacteroidetes</i> (d21), and <i>Corynebacteriaceae</i> as well as <i>Actinobacteria</i> (d28). T-test validation confirmed significant temporal variations in phylum (<i>Firmicutes</i>, <i>Actinobacteria</i>, and <i>Bacteroidetes</i>) and genus-level abundances (e.g., <i>Bacteroides</i> and <i>Lactobacillus</i>) in the feces of emus (<i>p</i> < 0.05). PICRUSt functional prediction indicated age-dependent metabolic pathway enrichment, including amino and nucleotide sugar metabolism (d7), oxidative phosphorylation (d14), ABC transporters and cysteine metabolism (d21), and genetic information processing pathways (d28). These results demonstrated dynamic, stage-specific restructuring of the fecal microbiota and its metabolic potential during early development in emus. This research presented the initial longitudinal assessment of fecal microbiota development in emus throughout their crucial early developmental stage, revealing age-dependent alterations in microbial composition and metabolic activity that could guide enhanced nutritional and health approaches for ratites.

Frontiers in MicrobiologyVol. 16
Foshan University (CN)
Reduced inequalities
Openalex Percentile: Top 91%
Gut microbiota and health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.