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Construction method and prediction method of woody plant leaf phenotypic characteristics and photosynthetic characteristics prediction model based on DNA methylation level

A technology for leaf phenotype and photosynthetic characteristics, which is applied in the field of biological information and can solve the problems of huge data volume, high research cost, and poor result accuracy.

Inactive Publication Date: 2019-07-02
BEIJING FORESTRY UNIVERSITY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the research is still in the qualitative analysis, and there is a lack of quantitative research on DNA methylation analysis
At the same time, the current research on DNA methylation of forest plants relies on the scanning of DNA methylation of the whole genome, the research cost is high, and the large amount of data leads to poor accuracy of results

Method used

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  • Construction method and prediction method of woody plant leaf phenotypic characteristics and photosynthetic characteristics prediction model based on DNA methylation level
  • Construction method and prediction method of woody plant leaf phenotypic characteristics and photosynthetic characteristics prediction model based on DNA methylation level
  • Construction method and prediction method of woody plant leaf phenotypic characteristics and photosynthetic characteristics prediction model based on DNA methylation level

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Experimental program
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Effect test

Embodiment 1

[0203] The following is an example of 235 individuals of Populus microphylla collected across the country.

[0204] Collection of experimental data:

[0205] Using the enzyme-digested fragment A disclosed in Variation in genomic methylation in natural populations of Populus simonii is associated with leaf shape and photosynthetic traits (Journal of Experimental Botany, Vol.67, No.3pp.723-737, 2016) published by Dong Ci et al. The methylation data were calculated to obtain the methylation level of individual DNA genomes of 235 Populus lobata samples, and the results are shown in Table 1 (CC means Chicheng County: Chicheng County, ZJK: Zhangjiakou FX: Shaanxi Fu County; LY: LinyouCounty Linyou County; LX :Langao County,LC:Luochuan County,GQ:Gaoling Count; HZ:Huzhu County,XH:Xinghai County; W:Dulan County,MY:Menyuan County County, SX: Song County, YC: Yichuan County, JL: ZhongningCounty, NM: Baotou City, NW: Ningwu County, TRT: Taoranting Park). At the same time, a portable las...

Embodiment 2

[0220] The relationship between DNA methylation level and leaf phenotype characteristics and photosynthetic characteristics of Populus microphylla.

[0221] To explore the effect of DNA methylation levels on phenotypic traits (leaf shape factor, leaf area, and net photosynthetic rate), we analyzed the numerical values ​​of marginal utility.

[0222] In the first type of poplar samples, the DNA methylation levels of enzyme digestion combinations H31E3, H60E3, H63E10, H44E4, H80E2, H65E5, H63E11 and H60E2 had a significant marginal effect on leaf area (such as Figure 7-1 ). Leaf area decreased with the increase of DNA methylation levels of enzyme digestion combinations H60E3, H44E4 and H60E2, and increased with the increase of DNA methylation levels of H31E3, H63E10, H80E2, H65E5 and H63E11. In the second type of poplar samples, the marginal effect of the DNA methylation levels of enzyme digestion combinations H80E13, H60E2, H82E5, H60E15, H63E11, H86E7, H80E9, H86E16, H65E6 a...

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Abstract

The invention provides a construction method and a prediction method of a woody plant leaf trait and photosynthetic characteristic model based on the DNA methylation level, and belongs to the technical field of biological analysis. The present invention selects important characteristic variables that reflect geographical location differences based on random forests, obtains seven leaf characteristic variables by screening, determines the optimal number of clusters, and uses the improved FCM clustering algorithm to obtain each group of clustered leaf samples; according to the correlation between variables The importance of the enzyme cut combination obtained from the gradient boosting tree is used to obtain the important enzyme cut combination in each group of clustered leaf samples; the DNA methylation level of the enzyme cut combination is used as a regression variable, and the LS is constructed based on the Gaussian radial basis function ‑SVM regression prediction model; input DNA methylation levels of important enzyme cleavage combinations to accurately predict leaf shape factor, leaf area and net photosynthetic rate. The method is used to predict the phenotypic characteristics and photosynthetic characteristics of woody plants, and simultaneously screen woody plant individuals with excellent traits.

Description

technical field [0001] The invention belongs to the field of biological information, and in particular relates to a construction method and a prediction method of a woody plant leaf phenotype characteristic and photosynthetic characteristic prediction model based on DNA methylation level. Background technique [0002] DNA methylation most commonly occurs at the fifth carbon atom of cytosine within a dinucleotide and is an important epigenetic modification. DNA methylation represses the expression of transposable elements, pseudogenes, repetitive sequences and individual genes, and plays a key role in many biological processes such as gene expression, embryonic development, cell proliferation, differentiation and chromosome stability. In plants, DNA methylation occurs at CG, CHG, CHH sites (H stands for bases other than guanine), and in higher plant cells, methylated cytosine can account for up to the total 50% of the number of cytosines. DNA methylation controls plant grow...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G16B40/20
CPCG16B40/00G06F18/2113G06F18/23213G06F18/2411
Inventor 张晓宇胡梦瑶吉心悦宋跃朋张德强
Owner BEIJING FORESTRY UNIVERSITY
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