Evidence map›Paper›PMID 27139888›Full record

ArticleMicrobiologyOpen2016

Cecal microbiota of Tibetan Chickens from five geographic regions were determined by 16S rRNA sequencing.

Xueyan Zhou, Xiaosong Jiang, Chaowu Yang, Bingcun Ma, Changwei Lei, Changwen Xu, Anyun Zhang, Xin Yang, Qi Xiong, Peng Zhang and 3 more

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xueyan ZhouAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Xiaosong JiangInstitute of Poultry Science, Academy of Sichuan Animal Husbandry Research, Chengdu, China.
Chaowu YangInstitute of Poultry Science, Academy of Sichuan Animal Husbandry Research, Chengdu, China.
Bingcun MaAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Changwei LeiAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Changwen XuAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Anyun ZhangAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Xin YangAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Qi XiongAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Peng ZhangAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Shuai MenAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Rong XiangAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China.
Hongning WangAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-resources and Eco-environment, Ministry of Education, "985 Project" Science Innovative Platform for Resource and Environment Protection of Southwestern China, College of Life Sciences, Sichuan University, Chengdu, China. whongning@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tibetan Chickens should have unique gastrointestinal microbiota because of their particular habitats. Thus, the aim of this study was to investigate the cecal microbiota of Tibetan Chickens from five typical high-altitude regions of China. Lohmann egg-laying hens (LMs) and Daheng broiler chickens (DHs) were chosen as controls. The cecal bacterial populations of Tibetan Chickens were surveyed by high-throughput sequencing (HTS) of the bacterial 16S rRNA hypervariable region V3-V4 (16S rRNAV3-V4) combined with community-fingerprinting analysis of the 16S rRNA gene based on polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE). The results revealed that the majority of cecal microbiota differed between the Tibetan Chicken and LM/DH. The microbial communities in the cecum were composed of 16 phyla, 28 classes, 36 orders, 57 families, 101 genera, and 189 species. Represented phyla were Bacteroidetes (>47%), Firmicutes (>18.8%), Spirochaetae (>0.3%), and Proteobacteria (>0.4%). Bacteroides and the RC9 gut group were the two most abundant genera. There were relatively more Christensenellaceae, Subdoligranulum, Spirochaeta, and Treponema in Tibetan Chickens, whereas there were more Phascolarctobacterium, Faecalibacterium, Megamonas, and Desulfovibrio in LMs and DHs. The cecal microbiota of Tibetan Chicken have slightly diverged due to exposure to different geographic environments. Differences in the intestinal bacterial communities of Tibetan Chicken and LM/DH were noted.

Indexed as

AnimalsBacteriaBase SequenceCecumChickensChinaDenaturing Gradient Gel ElectrophoresisGastrointestinal MicrobiomeGeographyHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionRNA, Ribosomal, 16SSequence Analysis, RNATibetRNA, Ribosomal, 16SCecal microbiotaDaheng broiler chickensDGGEhigh-throughput sequencingLohmann egg-laying hensTibetan Chicken

Identifiers

PMID27139888
PMCPMC5061713

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.