scholarly journals Microsatellite markers-based characterisation of elephant grass (Pennisetum purpureum) harvested from selected locations in South-West Nigeria

2020 ◽  
Vol 37 (1) ◽  
pp. 38-45
Author(s):  
O.A. Okukenu ◽  
A.A. Olajide ◽  
P.A. Dele ◽  
M. Wheto ◽  
B.T. Akinyemi ◽  
...  

This study was carried out to characterise Pennisetum purpureum harvested from some selected locations in S outh-W estern Nigeria using microsatellite markers. Leaf parts of growing young elephant grass (Pennisetum purpureum) were harvested and immediately preserved in ethanol solution before DNA extraction. Two (2) SSR primers (CTM59 and Xtxp278) were used to assess genetic diversity in Pennisetum purpureum. The result shows that 72% of the molecular variations in the elephant grass exists within the population with 28% among the population; there were no unique characteristics among the Nine (9) populations. Nei genetic index ranged from 0.067 (lowest) observed between Isokan and Odeda populations to 0.158 (highest), between Ifedore and Ikoyi Populations. Morphological characterization showed moderate diversity with two major clusters and one minor cluster. Keyword: Elephant grass; cultivars; locations; markers

2017 ◽  
Vol 5 (1) ◽  
pp. 123-129 ◽  
Author(s):  
Sumita Nag ◽  
Jiban Mitra

Flax (Linum usitatissimum L.), stoods in position third, being the largest natural fibre crop and simultaneously one of the five preeminent oilseed crops in the world. SSR/microsatellite markers are extensively utilized for genetic diversity analysis and cultivar identification considering their myriad abundance, co-dominant inheritance, steep polymorphism, reproducibility, and comfort of assay by PCR. Ten microsatellites were amplified in 27 genotypes of Flax. The study was undertaken to assess the genetic diversity in flax and to select most diverse genotypes for future breeding program. Primer efficiency parameters were studied. The 10 SSR loci amplified a total of 41 alleles that were used for genetic analysis. Most primers have PIC value greater than 0.5 and the LU6 marker was highly polymorphic PIC = 0.95. Estimates of RP̅ were highest for the primer LU1 (0.68). The maximum MI was observed for the primer LU10 (3.56). The H and D ranged from 0.26 to 1.78 and 0.36 to 5.40, respectively. According to Spearman rank correlation, PIC and MI were most important parameters in assessing the efficiency of whole set of 10 SSR primers. Dendrogram was constructed using the genetic similarity coefficients using UPGMA. PCo-A was also performed in support. Genetic diversity in Flax was revealed at molecular level.


Euphytica ◽  
2018 ◽  
Vol 214 (10) ◽  
Author(s):  
Yolanda López ◽  
Aleksey Kurashev ◽  
Christine Chase ◽  
Maria Gallo ◽  
Lynn Sollenberger ◽  
...  

Crop Science ◽  
2012 ◽  
Vol 52 (4) ◽  
pp. 1776-1785 ◽  
Author(s):  
Ana Luisa Sousa Azevedo ◽  
Pricila Palla Costa ◽  
Juarez Campolina Machado ◽  
Marco Antonio Machado ◽  
Antônio Vander Pereira ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Huaying Wang ◽  
Baiming Yang ◽  
Huan Wang ◽  
Hongxing Xiao

AbstractMicrosatellites (simple sequence repeats, SSRs) are co-dominant nuclear markers that are widely used in population genetic studies. Population genetic parameters from different studies might be significantly influenced by differences in marker number. In our study, 265 sequences with polymorphic microsatellites were obtained from SLAF-seq data. Then, subpopulations containing different numbers (5, 6, 7,…, 15, 20, 25, 30, 35, 40) of markers were genotyped 10 times to investigate the impact of marker numbers on population genetic diversity results. Our results show that genotyping with less than 11 or 12 microsatellite markers lead to significant deviations in the population genetic diversity or genetic structure results. In order to provide markers for population genetic and conservation studies for Rhododendron, 26 SSR primers were designed and validated in three species.


Genetika ◽  
2020 ◽  
Vol 52 (3) ◽  
pp. 1161-1179
Author(s):  
Kaushik Panigrahi ◽  
Puranjaya Panigrahi ◽  
Ayesha Mohanty ◽  
Purandar Mandal ◽  
Basudeba Satapathy

SSR markers are considered to be the most ideal marker for genetic studies because they are multi-allelic, abundant, randomly and widely distributed throughout the genome, co-dominant that could differentiate plants with homozygous or heterozygous alleles, simple to assay, highly reliable, reproducible. Microsatellite markers are highly polymorphic and informative and could be successfully used for genome analysis in black gram & green gram. Microsatellite markers were used to evaluate genetic diversity in 17 indigenous cultivars of pulse crops (11 cultivars of green gram and 6 cultivars of black gram respectively). They are subjected to variability analysis with 26 microsatellite markers for identification efficient primers to conclude the nature of molecular diversity present among the pulses. The SSR primer G228 showed 63.63% of polymorphism followed by MB-SSR 238 (45.45%) and G006 (36.36%). The 12 microsatellite markers produced 15.90 % polymorphism with banding ranged up to 7 with an average of 2.3 polymorphic banding patterns per SSR primer. Similarly for black gram, three random microsatellite primers G006 (50%) and G166 and G204 (33.33%) revealed considerable DNA polymorphism. The 14 random SSR primers produced 8.33% of polymorphism with banding ranged up to three with an average of 1.28 polymorphic banding pattern per SSR primer. The Distinguish Power (D), Polymorphism Information Content (PIC) value and Marker Index (MI) values revealed some SSR primers like G006, G204 and G166 can alone amplified distinct banding pattern, where as a combination of (G228+G006), (G228+G304) for green gram and the combination (G006+G166) can be used for black gram for ascertaining genetic diversity at any stage of crop growth period for green gram or black gram. From the present study we can conclude that selective microsatellite markers are highly polymorphic, informative and easily reproducible, which can be successfully used either as single or with combination for molecular characterization of crop species belonging to Vigna species.


2018 ◽  
Vol 23 (1) ◽  
pp. 1
Author(s):  
Eslam Faid-Allah ◽  
E. Ghoneim ◽  
A. R. Elbetagy ◽  
M. El-Dabour

This study investigates genetic diversity and structure of native Egyptian cattle populations, called Baladi, as Saidi from Southern Egypt, Menufi from Mid-Delta and their F1 crosses with the French Tarentaise breed using DNA Microsatellite markers. A total of unrelated 97 individuals were genotyped utilizing eight SSR primers (ETH10, ETH225, BM1818, BM1824, BM2113, SPS115, TGLA53 and TGLA126). All utilized SSR were found to be polymorphic. The highest and lowest numbers of alleles detected were 16 and 6 at TGLA53 and SPS115 loci, respectively. Baladi-Tarentaise crosses (Bal-Tar) had the highest number of alleles over all. The PIC values of 7 loci were higher than 0.5, indicating high allelic variation of utilized markers. Estimated PIC values were up to 0.898, 0.866 and 0.873 for TGLA53 genotyped in Saidi, Menufi and Bal-Tar, respectively. Hobs values were lower than the expected ones in the native populations accompanied with positive values for Fis and significant deviation from HWE indicating inbreeding trend in native populations. Structure analysis indicated three ancestral genetic backgrounds. The native populations share two main backgrounds in almost equal percentages, while the Bal-Tar had the third one. The three populations showed low percentage of admixture. The studied Mediterranean cattle populations that belong to Egypt and France seem to have differentiated from each other with only little genetic exchange between the geographically isolated populations so local cattle is very similar.


2009 ◽  
Vol 17 (1) ◽  
pp. 82 ◽  
Author(s):  
Liang Hongwei ◽  
Li Zhong ◽  
Luo Xiangzhong ◽  
Wang Changzhong ◽  
Hu Guangfu ◽  
...  

Author(s):  
Mayara de Oliveira Lessa ◽  
Guilherme Quintela Calixto ◽  
Bruna Maria Emerenciano das Chagas ◽  
Emerson Moreira Aguiar ◽  
Marcus Antônio de Freitas Melo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document