A kind of codonplant system for plant exogenous gene modification and modification method thereof
A technology of exogenous genes and plants, applied in the field of genetic engineering, can solve problems such as insufficient translation of organisms
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Embodiment 1
[0052] A CodonPlant system for plant exogenous genetic modification, such as figure 1 As shown, it includes an input module, a processing module, and an output module; wherein, the input module is used for the user to input the gene sequence, codon usage frequency sorting table and the number of groups n (n >= 2 integer); the processing module is used to receive the input The codon information content and the codon usage frequency sorting table information content are effectively processed according to the group number n input by the user, and corresponding results are output through the output module.
[0053] The input module includes a sequence module, a codon usage frequency sorting table module, and a population number module. The sequence that can be input by the sequence module must be a multiple of three, and the input sequence is divided into triplets and sent to the processing module; the codon usage frequency The input format of the sorting table module is that syno...
Embodiment 2
[0147] Adopt the CodonPlant system for plant exogenous gene transformation of embodiment, carry out specific plant exogenous gene transformation, process is as follows:
[0148] The first step: input the NADH dehydrogenase original gene sequence of Bacillus thuringiensis bacteria (the sequence is shown in SEQ ID NO.1.)
[0149] Step 2: According to the sequence, 20 synonymous sequences (ie, different nucleotide sequences with the same protein) were randomly synthesized, numbered [0] to [19], and the corresponding sequences were shown in SEQ ID NO.2-21.
[0150] Step 3: Use roulette to randomly select 2 of these 20 entries. For example, the expected value of No. [0] is 0.2476, and the expected value of No. [3] is 0.2489. As parents, take half of the two sequences and perform cross-recombination to obtain a new sequence named new_seq, and carry out 5% of the new sequence. After the random synonymous mutation, scan the specific site in it again, perform fixed-point random mutati...
Embodiment 3
[0162] The method is the same as in Example 2, with the original sequence of cry9Aa-0 as shown in SEQ ID NO.24 (input sequence) for genetic modification, and the optimized sequence after 100 generations is shown in SEQ ID NO.25 (output result), Table 2 It is a comparison of the results before and after 100 generations.
[0163] Table 2 Comparison of results before and after 100 generations
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[0169] It can be seen from Table 2 that after the sequence was optimized for 100 generations, the expression level of the sequence increased significantly.
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