Vladimir Khachumov

Vladimir Khachumov

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Vladimir Khachumov

Southern Federal University, Rostov-on-Don, 344090, Russian Federation

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2021 in Gene
Verified
Journal Article
Closed access
KAKirill Azarin
Kirill Azarin
AUAlexander Usatov
Alexander Usatov
MMMaksim Makarenko
Maksim Makarenko
VKVladimir Khachumov
Vladimir Khachumov
VGVera Gavrilova
Vera Gavrilova

9 November 2022 in Environmental Research
Verified
Journal Article
Closed access
KAKirill Azarin
Kirill Azarin
AUAlexander Usatov
Alexander Usatov
Tatiana MinkinaTatiana Minkina
Tatiana Minkina
NDNadezhda Duplii
Nadezhda Duplii
AKAlexandra Kasyanova
Alexandra Kasyanova
Vishnu D. RajputVishnu D. Rajput
Vishnu D. Rajput

1 January 2016 in Indian Journal Of Genetics and Plant Breeding
Verified
Journal Article
Closed access
PDF file
AUA. V. Usatov
A. V. Usatov
Pavel KostylevPavel Kostylev
Pavel Kostylev
KAKirill Azarin
Kirill Azarin
NMN. V. Markin
N. V. Markin
MMM. S. Makarenko
M. S. Makarenko
MBM. Yu. Bibov
M. Yu. Bibov

7 April 2020 in Grain Economy of Russia
Verified
Journal Article
Open access
PDF file
VKV. A. Khachumov
V. A. Khachumov
IKIgor V. Kornienko
Igor V. Kornienko
AUAlexander Usatov
Alexander Usatov
Оценка стабильности ДНК-содержащих растительных образцов, хранившихся в условиях ускоренной деградации ДНК

1 January 2018 in American Journal of Biochemistry and Biotechnology
Verified
Journal Article
Open access
PDF file
KAKirill Azarin
Kirill Azarin
MMMaxim Makarenko
Maxim Makarenko
AUAlexander Usatov
Alexander Usatov
VKVladimir Khachumov
Vladimir Khachumov
AKAlexey Kovalevich
Alexey Kovalevich
VGVera Gavrilova
Vera Gavrilova
The complete chloroplast genomes of sunflower fertile line HA89 and isonuclear CMS lines with four different cytoplasmic backgrounds (PET1, PET2, ANN2 and MAX) were sequenced. A total of 451 polymorphic sites, with including 58 SSRs, 317 SNPs and 76 microindels were revealed between the fertile and CMS cytotypes. Among the alloplasmic male-sterile lines, cpDNA of CMS-MAX had the largest number of polymorphisms. The lowest number of polymorphic sites was revealed in CMS-PET1. Like as CMS-PET1, CMS-PET2 was obtained as a result of interspecific crossing between H. petiolaris and cultivated sunflower H. annuus. Nevertheless, the number of INDELs and SNPs in CMS-PET2 chloroplast genome was more than 4-fold and 6.5-fold higher than that in cpDNA of CMS-PET1. The average frequency of SNPs and INDELs in the non-genic regions and genic regions were 0.0062 and 0.0046, respectively. Increased mutation rates were found in the psbM-rpoB, rps16 intron, atpA-psbD, rps4-ndhJ and ndhc-atpE non-coding regions, as well as in the rpoC2, atpA, rbcL, ndhF and ycf1 genes. In addition to short insertions and deletions ranging from 1 to 5 bp, the relatively long INDELs (14-24 bp) unique for each CMS line were found. These insertions and deletions may be of use for PCR differentiation of the CMS lines due to differences in the amplicons length.

1 January 2020 in American Journal of Biochemistry and Biotechnology
Verified
Journal Article
Open access
PDF file
KAKhachumov Vladimir Arturovich
Khachumov Vladimir Arturovich
UVUsatov Alexander Vyacheslavovich
Usatov Alexander Vyacheslavovich
AVAzarin Kirill Vitalievich
Azarin Kirill Vitalievich
MVMarkin Nikolay Victorovich
Markin Nikolay Victorovich
GAGavrilova Vera Alekseevna
Gavrilova Vera Alekseevna
GIGorbachenko Fedor Ivanovich
Gorbachenko Fedor Ivanovich
SSR analysis of chloroplast and mitochondrial genomes of cultivar lines and wild species of sunflower (Helianthus L.) were completed. The polymorphism of 18 microsatellite loci of the chloroplast and mitochondrial genomes was investigated. Based on the obtained data was constructed dendrogram showing the genetic diversity of chloroplast and mitochondrial genomes of sunflowers. The studied species were clustered into annual and perennial. This set of novel polymorphic SSR markers can be useful for breeders and molecular biologists for the genetic diversity analysis, lines identification and improve breeding.