SSR loci survey of technical hemp cultivars: The optimization of a cost-effective analyses to study genetic variability

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43918061" target="_blank" >RIV/62156489:43210/20:43918061 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/26784246:_____/20:N0000035

Výsledek na webu

<a href="https://doi.org/10.1016/j.plantsci.2020.110551" target="_blank" >https://doi.org/10.1016/j.plantsci.2020.110551</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.plantsci.2020.110551" target="_blank" >10.1016/j.plantsci.2020.110551</a>

Jazyk výsledku

angličtina

Název v původním jazyce

SSR loci survey of technical hemp cultivars: The optimization of a cost-effective analyses to study genetic variability

Popis výsledku v původním jazyce

Our study aimed to optimize a selection of a suitable combination of SSRs (Simple Sequence Repeats) for determination of technical Cannabis cultivars and genetic variability level. We used sequences of 23 published SSR families (107 alleles) and amplified them in 28 cultivars. One of the alleles possesses no selective information (SSR family CAN1660) due to its presence in every single tested cultivar. We excluded it, together with another 11 least informative alleles. After data filtration, we used 96 alleles to do recursive sub-sampling of random alleles&apos; sets. We found a minimal set of 8 alleles (in three different combinations) to distinguish 28 analyzed cultivars from each other. Our results contribute to saving resources and to reduce the performance time of the molecular analysis.

Název v anglickém jazyce

SSR loci survey of technical hemp cultivars: The optimization of a cost-effective analyses to study genetic variability

Popis výsledku anglicky

Our study aimed to optimize a selection of a suitable combination of SSRs (Simple Sequence Repeats) for determination of technical Cannabis cultivars and genetic variability level. We used sequences of 23 published SSR families (107 alleles) and amplified them in 28 cultivars. One of the alleles possesses no selective information (SSR family CAN1660) due to its presence in every single tested cultivar. We excluded it, together with another 11 least informative alleles. After data filtration, we used 96 alleles to do recursive sub-sampling of random alleles&apos; sets. We found a minimal set of 8 alleles (in three different combinations) to distinguish 28 analyzed cultivars from each other. Our results contribute to saving resources and to reduce the performance time of the molecular analysis.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Plant Science

ISSN

0168-9452

e-ISSN

—

Svazek periodika

298

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

7

Strana od-do

110551

Kód UT WoS článku

000557874400008

EID výsledku v databázi Scopus

2-s2.0-85087302533