Identification of promoter sequences in the eukaryotic genome, by computer methods, is an important task of bioinformatics. However, this problem has not been solved since the best algorithms have a false positive probability of 10−3–10−4 per nucleotide. As a result of full genome analysis, there may be more false positives than annotated gene promoters. The probability of a false positive should be reduced to 10−6–10−8 to reduce the number of false positives and increase the reliability of the prediction. The method for multi alignment of the promoter sequences was developed. Then, mathematical methods were developed for calculation of the statistically important classes of the promoter sequences. Five promoter classes, from the rice genome, were created. We developed promoter classes to search for potential promoter sequences in the rice genome with a false positive number less than 10−8 per nucleotide. Five classes of promoter sequences contain 1740, 222, 199, 167 and 130 promoters, respectively. A total of 145,277 potential promoter sequences (PPSs) were identified. Of these, 18,563 are promoters of known genes, 87,233 PPSs intersect with transposable elements, and 37,390 PPSs were found in previously unannotated sequences. The number of false positives for a randomly mixed rice genome is less than 10−8 per nucleotide. The method developed for detecting PPSs was compared with some previously used approaches. The developed mathematical method can be used to search for genes, transposable elements, and transcript start sites in eukaryotic genomes.
The plant response to stresses includes changes in starch metabolism regulated by a complex catalytic network, in which plastidic starch phosphorylase PHO1a is one of the key players. In this study, we used the CRISPR-Cas9 system to edit the PHO1a gene in four potato (Solanum tuberosum L.) cultivars, which resulted in the introduction of a radical mutation, G261V, into the PHO1a functional domain. The mutants had altered morphology and differed from wild-type plants in starch content in the roots and leaves. Exposure to cold stress revealed the differential response of parental and transgenic plants in terms of starch content and the expression of genes coding for β-amylases, amylase inhibitors, and stress-responsive MADS-domain transcription factors. These results suggest that the G261V mutation causes changes in the functional activity of PHO1a, which in turn affect the coordinated operation of starch catabolism enzymes both under normal and cold stress conditions, possibly through differential expression of MADS-domain transcription factors. Our results highlight a critical regulatory role of PHO1a in starch metabolism, root and shoot development, and stress response in potatoes.
The work studied the effect of low molecular weight chitosan hydrolyzate on the growth and development of phytopathogens Botrytis cinerea, Fusarium solani, Alternaria solani. Chitosan hydrolyzate, when added to potato-glucose agar, inhibits the growth of mycelium in vitro of Botrytis cinerea, Fusarium solani, Alternaria solani. Treatment with chitosan hydrolyzate suppresses the development of fusarium on tomato leaves and the development of gray rot on fruits. Further studies of chitosan hydrolyzate effect mechanisms on plants can expand the scope of its application.
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