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Effects of Different Ambient Temperatures on Caecal Microbial Composition in Broilers Cover

Effects of Different Ambient Temperatures on Caecal Microbial Composition in Broilers

Polish Journal of Microbiology
Volume 70 (2021): Issue 1 (March 2021)
By: YUTING YANG,  XING LI,  ZHENHUI CAO,  YINGING QIAO,  QIUYE LIN,  JIANPING LIU,  ZHIYONG ZHAO,  QINGCONG AN,  CHUNYONG ZHANG,  HONGFU ZHANG and  HONGBIN PAN  
Open Access
|Mar 2021

Figures & Tables

Fig. 1.

The relative mRNA expression level of heat shock proteins and inflammation-related genes in the liver of chickens. Different uppercase and lowercase letters indicate the significance of difference at p < 0.01 and p < 0.05, respectively. The same letters indicate no significant difference.

Fig. 2.

Composition of the dominant microbiome at the phylum level. Different uppercase and lowercase letters indicate significant differences at p < 0.01 and p < 0.05, respectively. The same letters indicate no significant difference.

Fig. 3.

Composition of the dominant microbiome at the genus level. Different uppercase and lowercase letters indicate significant differences at p < 0.01 and p < 0.05, respectively. The same letters indicate no significant difference.

Fig. 4.

The effects of ambient temperatures on the caecal microbial communities. Principal component analysis (PCA) of the abundance profiling of microbes based on OTUs.

Fig. 5.

LEfSe identified the most differentially abundant microbiota between HC, MC, and LC groups.

Fig. 6.

KEGG enrichment analyses of the caecal microbial taxa from the HC, MC, and LC groups at the L3 hierarchy.

List of primer sequences for qPCR_

GeneForward primer (5’→3’)Reverse primer (5’→3’)Gene accession number
ACTBCTCGGCTGTGGTGGTGAACCATCTATGAAGGCTACGCAB495648
Hsp70TGGTGGGAATGGTGGTGTTACATCTGCTCCTGTTGGATGTCAMH422508.1
Hsp90CAGCAGCAGTATCATCTTCATCCCTGTCCTCTGGCTTTAGTTTNM001109785.1
NF-kB1AGTTCAGGATGCACCAAGAGTAGTCAACGCAGGACCTAAAGAGGAF000241
NF-KB2TGACGGTGGGATAGGTCTTGTCTGCCTGGATGGGATTGACTAU00111
IL-6CCTAGAAGGAAATGAGAATGCCTATCGTTTATGGAGAAGACCGTGAGAJ309540
TNF-αGCTTACTTCCCTTCTTCTCCTCTACATCTGACCCATCCCXM015284187

Library diversity of the 16S rRNA genes from the chicken cecum1_

Group IDHCMCLC
OTUs292 ± 22.70297 ± 42.57271 ± 52.59
Chao1334.06 ± 22.72ab351.67 ± 44.98a316.75 ± 45.95b
Observed species289.16 ± 22.77294.25 ± 42.11267.66 ± 53.71
Shannon4.93 ± 0.434.62 ± 0.644.83 ± 1.01
Simpson0.91 ± 0.030.86 ± 0.050.89 ± 0.11
PD whole tree17.32 ± 1.1817.83 ± 2.1116.64 ± 2.88
Good’s Coverage0.9983 ± 0.00010.9981 ± 0.00020.9983 ± 0.0002
DOI: https://doi.org/10.33073/pjm-2021-001 | Journal eISSN: 2544-4646 | Journal ISSN: 1733-1331
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Language: English
Page range: 33 - 43
Submitted on: Sep 26, 2020
|
Accepted on: Dec 27, 2020
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Published on: Mar 19, 2021
Published by: Polish Society of Microbiologists
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
broiler,
temperature,
16S rRNA sequencing,
caecal microbial composition,
KEGG pathway
Related subjects:
Life sciences,
Microbiology and virology

© 2021 YUTING YANG, XING LI, ZHENHUI CAO, YINGING QIAO, QIUYE LIN, JIANPING LIU, ZHIYONG ZHAO, QINGCONG AN, CHUNYONG ZHANG, HONGFU ZHANG, HONGBIN PAN, published by Polish Society of Microbiologists
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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