Enteric microorganism markers highly related to anorexia actions of small-weight chickens
A technology of intestinal microbes and markers, which is applied in the direction of microbes, microbe-based methods, microbiological measurement/testing, etc., and can solve problems affecting economic benefits, obesity, and affecting normal egg production of hens
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Embodiment 1
[0032] 1) Long-term artificial difference selection was carried out with the white Roc chicken as the common ancestor, aiming at the height of body weight at 56 days old, to ensure that the feeding conditions of body weight and the feeding environment were consistent, so as to obtain the difference of a single trait, and selected 56 After one generation, the obtained chickens of the small body weight family have obvious symptoms of anorexia and emaciation, and the average body weight is only about one-tenth of the weight of the large body weight family. 5 hens each (1976±193g for large body weight roosters; 1598±166g for large body weight hens; 174±46g for small body weight roosters; 128±37g for small body weight hens). The DNA of the intestinal flora was extracted after the sample, and the specific steps were as follows: Microbial DNA extraction was carried out in strict accordance with the instructions of the product kit (TIANGEN DNA stool mini kit). After the microbial DNA ...
Embodiment 2
[0039] 1) Data set creation
[0040] Select the gut microbes with differences in the abundance obtained from the analysis of the small-weight chicken family and the large-weight chicken family, and remove redundant or irrelevant gut microbes; use 2 / 3 of the total number of samples as the training set, and 1 of the total number of samples / 3 as a verification set, import the data into R language software (v3.6.1), and use the randomforest package (v4.6) to construct a random forest model.
[0041] 2) Train the model and verify
[0042] Import the verification set into the constructed random forest model, and find that the prediction error rate is zero, indicating that the model is reliable. Export the important variables involved in model construction. It was found that the MeanDecreaseGini values of Rhodovulum bhavnagarense strains and Terrisporobacterglycolicus strains (influence values on the accuracy of model classification effects) were relatively large, respectively...
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