Показать сокращенную информацию

Oreshkova, N. V.
Bondar, E. I.
Putintseva, Yu. A.
Sharov, V. V.
Kuzmin, D. A.
Krutovsky, K. V.
2020-01-20T07:56:58Z
2020-01-20T07:56:58Z
2019-04
Oreshkova, N. V. Development of nuclear microsatellite markers with long (tri-, tetra-, penta-and hexanucleotide) motifs for three larch species based on the de novowhole genome sequencing of Siberian larch (Larix sibiricaLedeb.) [Текст] / N. V. Oreshkova, E. I. Bondar, Yu. A. Putintseva, V. V. Sharov, D. A. Kuzmin, K. V. Krutovsky // Russian Journal of Genetics. — 2019. — Т. 55 (№ 4). — С. 444-450
10227954
https://link.springer.com/article/10.1134/S1022795419040094
https://elib.sfu-kras.ru/handle/2311/129304
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.
Siberian larch (Larix sibirica Ledeb.) is one of the major boreal tree species in Eurasia and has a considerable economic and ecological value. Despite that importance, the development and use of microsatellite markers in this species remain limited. Microsatellite markers are considered to be a valuable tool for estimation of population diversity and structure. Availability of a draft reference assembly of the Siberian larch genome allowed us to identify 1015 microsatellite loci or simple sequence repeats (SSRs) with tri-, tetra-, penta-, and hexanucleotide motifs. For 60 of them PCR primers were designed and tested for amplification in L. sibirica and for their within-genus transferability to L. gmelinii (Rupr.) Rupr. and L. cajanderi Mayr. Here, we present a set of 14 reliable and polymorphic new nuclear SSR markers that can be used for further population genetic studies, breeding programs, and timber origin identification.
conifers genetic diversity heterozygosity Larix larch microsatellite markers SSR whole genome sequencing
Development of nuclear microsatellite markers with long (tri-, tetra-, penta-and hexanucleotide) motifs for three larch species based on the de novowhole genome sequencing of Siberian larch (Larix sibiricaLedeb.)
Journal Article
Journal Article Preprint
444-450
34.15.23
2020-01-20T07:56:58Z
10.1134/S1022795419040094
Институт космических и информационных технологий
Кафедра высокопроизводительных вычислений
Russian Journal of Genetics
Q4
Q4


Файлы в этом документе

Thumbnail

Данный элемент включен в следующие коллекции

Показать сокращенную информацию