Affiliation:
1. Southern Federal University; Agricultural Research Center “Donskoy”
2. Southern Federal University
3. Agricultural Research Center “Donskoy”
Abstract
Rice is an important grain crop known for its ability to grow in flooded soil.
Sometimes rice plants resist weeds and herbicides’ application ineffectively
and unprofitably. The varieties that have flood-resistant genes can help solve this problem, so the study of DNA markers is of great importance. Floodresistant loci contain the Sub1 gene, which is activated under anaerobic
conditions. The locus contains three similar genes Sub1A, Sub1B, Sub1C, but
only the gene Sub1A improves resistance to such conditions. The purpose
of the study is to find the most effective Sub1A marker for identifying
genes for tolerance to prolonged flooding in domestic hybrid rice samples
as a natural method of weed control. As donors there have been used foreign
varieties (Inbara-3, BR-11, TDK-1, IR-64, CR-1009, Swarna), and Russian
varieties (Novator, Magnat, Stepnyak, Bakhus, Komandor, Kuban-3, Boyarin,
Kontakt) as recipient forms. From the populations of F5-F9 generations, there
have been selected 96 early maturing hybrids. To identify the gene in hybrid
plants, three sets of locus-specific primers, the most widely used according
to the literature, were used: Sub1A(1F1R), Sub1A(2F2R), and Sub1A(3F3R).The
region amplicon Sub1A(1F1R) was found in 17 samples among 96 studied
hybrids, the region amplicon Sub1A(2F2R) was found in 17 samples, and
the Sub1A(3F3R) primer has initiated nonspecific amplification and did
not allow the identification of genotypes. To further verify the phenotypic
expression of the introduced locus, the morpho-physiological response of all
hybrid rice lines under flooding conditions was analyzed. Under flooding
conditions, the number of germinated rice seeds in the parental lines
(Novator, Boyarin and Stepnyak) decreased, as well as in hybrids that did
not inherit the locus according to molecular genetic analysis. As a result, it
is recommended to carry out analysis using two markers to improve efficiency
Publisher
Federal State Budgetary Educational Institution of Higher Education «Moscow Pedagogical State University» (MPGU)