scholarly journals The Development of the Genic SSR Markers for Analysis of Genetic Diversity in Gooseberry Cultivars

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1050
Author(s):  
Elena O. Vidyagina ◽  
Vadim G. Lebedev ◽  
Natalya M. Subbotina ◽  
Ella I. Treschevskaya ◽  
Tatyana N. Lebedeva ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Marker Assisted Selection ◽  
Flavonoid Biosynthesis ◽  
Phenotypic Traits ◽  
Modern Approach ◽  
Genic Ssr ◽  
Small Fruit ◽  
Interspecies Hybrids ◽  
Different Origins

Gooseberry is one of the most promising and underrated small fruit crops. There is a need to improve and genotype the existing cultivars, and this work requires the use of new efficient DNA marking techniques. Marker-assisted selection (MAS) is a modern approach for work with genetic resources. However, the genetic determinants of key qualitative traits are poorly studied. Therefore, we developed SSR markers located in flavonoid biosynthesis genes that can affect the resistance of plants to biotic and abiotic stresses to study the genetic diversity of gooseberry cultivars grown in the Russian Federation and varying in genetic and geographical origin. We have genotyped 22 gooseberry cultivars using a set of 19 of our original microsatellite markers and two neutral previously published ones. A total of 53 alleles were found. Nine of the 21 analyzed loci were polymorphic. The most polymorphic loci of flavonoid biosynthesis were found in the DFR gene (RucDFR1-2, RucDFR1-3, RucDFR2-1), their mean PIC (polymorphism information content) being 0.65, comparable to the PIC values of neutral markers. Our set of gene-targeted SSR markers showed that most of all the studied gooseberry cultivars differed in origin, based on which they were divided into three groups: European cultivars, Russian cultivars, and interspecies hybrids. Thus, the polymorphic markers can be used for cultivar identification and certification as well as for the marker-assisted selection of gooseberry plants having different origins and phenotypic traits.

scholarly journals Marker-assisted Backcrossing for Identification of Salt Tolerant Rice Lines

2013 ◽  
Vol 2 (2) ◽  
pp. 1-8 ◽  
Author(s):  
M Moniruzzaman ◽  
MS Islam ◽  
JA Rashid ◽  
SN Begum ◽  
MM Islam
Keyword(s):  
Genetic Diversity ◽  
Salt Tolerance ◽  
Ssr Markers ◽  
Marker Assisted Selection ◽  
Genetic Maps ◽  
Salt Tolerant ◽  
High Yielding Variety ◽  
Marker Assisted Backcrossing ◽  
Tolerant Genotype ◽  
New Cultivars

SSR or microsatellite markers are proved to be ideal for making genetic maps, assisting selection and studying genetic diversity in germplasm. SSR markers are playing important role to identify gene for salt tolerance that can be helpful for plant breeders to develop new cultivars. The experiment was conducted during the period from July 2009 to November 2010 in the experimental field and Biotechnology Laboratory of Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh to identify salt tolerant rice line of BC1F1 progenies of Binadhan-5 x FL-478 using SSR markers. Salt tolerant genotype, FL-478 was crossed with high yielding variety, Binadhan-5. Randomly selected 40 BC1F1 progenies along with their two parents (Binadhan-5, FL-478 and F1) were genotyped with microsatellite or SSR markers for identification of salt tolerant rice lines. Parental polymorphism survey was assayed by 10 SSR markers and three polymorphic SSR markers viz., RM 336, RM 510, and RM 585 were selected to evaluate BC1F1 rice lines for salt tolerance. In respect of Primer RM 336, 11 lines were found as salt tolerant and 25 lines were heterozygous and 3 lines were susceptible. Primer RM 510 identified two tolerant, 14 heterozygous and 22 susceptible lines. And primer RM 585 identified 4 lines as tolerant and 35 lines as susceptible. Thus, these markers could be efficiently used in tagging salt tolerant genes, in marker-assisted selection and quantitative trait loci (QTL) mapping. The selected BC1F1 could be used for developing BC2F1 and BC2F2 and mapping genes for salinity tolerance. DOI: http://dx.doi.org/10.3329/ijarit.v2i2.14008 Int. J. Agril. Res. Innov. & Tech. 2 (2): 1-8, December, 2012

Assessing heat stress tolerance and genetic diversity among exotic and Indian wheat genotypes using simple sequence repeats and agro-physiological traits

2015 ◽  
Vol 15 (3) ◽  
pp. 208-220 ◽  
Author(s):  
K. T. Ramya ◽  
Neelu Jain ◽  
Nikita Gandhi ◽  
Ajay Arora ◽  
P. K. Singh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Heat Stress ◽  
Stress Tolerance ◽  
Ssr Markers ◽  
Agronomic Traits ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Phenotypic Traits ◽  
Heat Stress Tolerance ◽  
Simple Sequence

Genetic diversity and relationship of 92 bread wheat (Triticum aestivum L.) genotypes from India and exotic collections were examined using simple sequence repeat (SSR) markers and phenotypic traits to identify new sources of diversity that could accelerate the development of improved wheat varieties better suited to meet the challenges posed by heat stress in India. Genetic diversity assessed by using 82 SSR markers was compared with diversity evaluated using five physiological and six agronomic traits under the heat stress condition. A total of 248 alleles were detected, with a range of two to eight alleles per locus. The average polymorphic information content value was 0.37, with a range of 0.04 (cfd9) to 0.68 (wmc339). The heat susceptibility index was determined for grain yield per spike, and the genotypes were grouped into four categories. Two dendrograms that were constructed based on phenotypic and molecular analysis using UPGMA (unweighted pair group method with arithmetic mean) were found to be topologically different. Genotypes characterized as highly heat tolerant were distributed among all the SSR-based cluster groups. This implies that the genetic basis of heat stress tolerance in these genotypes is different, thereby enabling wheat breeders to combine these diverse sources of genetic variability to improve heat tolerance in their breeding programmes.

scholarly journals Genetic variability in trait-specific rice germplasm groups based on coefficient of parentage, SSR markers and fertility restoration

2014 ◽  
Vol 13 (1) ◽  
pp. 56-67
Author(s):  
Pawan Khera ◽  
Akhilesh Kumar Singh ◽  
Rahul Priyadarshi ◽  
Durga Khandekar ◽  
Rajani K Allu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Hybrid Rice ◽  
Fertility Restoration ◽  
Phenotypic Traits ◽  
Rice Breeding ◽  
Coefficient Of Parentage ◽  
Rice Germplasm ◽  
Cms Line ◽  
The Mean

To maximize heterosis, it is important to understand the genetic diversity of germplasm and associate useful phenotypic traits such as fertility restoration for hybrid rice breeding. The objectives of the present study were to characterize genetic diversity within a set of rice germplasm groups using coefficient of parentage (COP) values and 58 simple sequence repeat (SSR) markers for 124 genotypes having different attributes such as resistance/tolerance to various biotic and abiotic stresses. These lines were also used for identifying prospective restorers and maintainers for wild abortive-cytoplasmic male sterile (CMS) line. The mean COP value for all the lines was 0.11, indicating that the genotypes do not share common ancestry. The SSR analysis generated a total of 268 alleles with an average of 4.62 alleles per locus. The mean polymorphism information content value was 0.53, indicating that the markers selected were highly polymorphic. Grouping based on COP analysis revealed three major clusters pertaining to the indica, tropical japonica and japonica lines. A similar grouping pattern with some variation was also observed for the SSR markers. Fertility restoration phenotype based on the test cross of the 124 genotypes with a CMS line helped identify 23 maintainers, 58 restorers and 43 genotypes as either partial maintainers or partial restorers. This study demonstrates that COP analysis along with molecular marker analysis might encourage better organization of germplasm diversity and its use in hybrid rice breeding. Potential restorers identified in the study can be used for breeding high-yielding stress-tolerant medium-duration rice hybrids, while maintainers would prove useful for developing new rice CMS lines.

scholarly journals Genetic Diversity of Paeonia rockii (Flare Tree Peony) Germplasm Accessions Revealed by Phenotypic Traits, EST-SSR Markers and Chloroplast DNA Sequences

Forests ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 672
Author(s):  
Xin Guo ◽  
Fangyun Cheng ◽  
Yuan Zhong
Keyword(s):  
Genetic Diversity ◽  
Chloroplast Dna ◽  
Ssr Markers ◽  
Dna Sequences ◽  
Genetic Background ◽  
Background Information ◽  
Phenotypic Traits ◽  
Tree Peony ◽  
Chloroplast Dna Sequences ◽  
Paeonia Rockii

Research Highlights: This study, based on the first collection of cultivated Paeonia rockii (flare tree peony, FTP) germplasm across the main distribution area by our breeding desires, comprehensively evaluates these accessions by using phenotypic traits, expressed sequence tag (EST)-simple sequence repeat (SSR) markers and chloroplast DNA sequences (cpDNA). The results show that these accessions collected selectively by us can represent the genetic background information of FTP as a germplasm of tree crops. Background and Objectives: FTP has high cultural, ornamental and medicinal value traditionally, as well as recently presenting a significance as an emerging edible oil with high α-linolenic acid contents in the seeds. The objectives of this study are to reveal the characteristics of the genetic diversity of FTP, as well as to provide scientific suggestions for the utilization of tree peony breeding and the conservation of germplasm resource. Materials and Methods: Based on the phenotypic traits, EST-SSR markers and chloroplast DNA sequence variation, we studied the diversity of a newly established population of 282 FTP accessions that were collected and propagated by ourselves in our breeding project in recent years. Results: (1) There was an abundant variation in phenotype of the accessions, and the phenotypic variation was evenly distributed within the population, without significant hierarchical structure, (2) the EST-SSR data showed that these 282 accessions had relatively high genetic diversity, in which a total of 185 alleles were detected in 34 pairs of primers. The 282 accessions were divided into three distinct groups, and (3) the chloroplast DNA sequences (cpDNA) data indicated that these accessions had a higher genetic diversity than the population level and a lower genetic diversity than the species level of wild P. rockii, and the existing spatial genetic structure of these accessions can be divided into two branches. Conclusions: From the results of the three analyses, we found that these accessions can fully reflect the genetic background information of FTP germplasm resources, so their protection and utilization will be of great significance for genetic improvement of woody peonies.

Analysis of genetic diversity and population structure in Saharan maize (Zea mays L.) populations using phenotypic traits and SSR markers

2018 ◽  
Vol 66 (1) ◽  
pp. 243-257 ◽  
Author(s):  
Nawel Belalia ◽  
Antonio Lupini ◽  
Abderrahmane Djemel ◽  
Abdelkader Morsli ◽  
Antonio Mauceri ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Zea Mays ◽  
Population Structure ◽  
Ssr Markers ◽  
Zea Mays L ◽  
Phenotypic Traits

scholarly journals Genetic diversity and population structure of Gerbera delavayi Franch. revealed by newly developed genic-SSR markers

2016 ◽  
Author(s):  
Wei Zheng ◽  
Xiaodan Xu
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Habitat Fragmentation ◽  
Genetic Differentiation ◽  
Ssr Markers ◽  
Southwest China ◽  
Perennial Herb ◽  
Genetic Barrier ◽  
Genic Ssr ◽  
Wild Resources

Background: Gerbera delavayi Franch., a perennial herb native to southwest China, is of important and special value in textile and culture. Its abaxial leaves have a layer of soft fibers, which can be manually peeled, twisted into a yarn, and applied in textiles for hand-made clothes. The particular craftsmanship, unique all over the world, is a part of the intangible cultural heritage in Yunnan and Sichuan Province. To date, the wild species has become endangered because its leaves are excessively harvested for textile applications. Estimating the genetic variation of plant species is crucial for plant conservation and breeding. So, the aim of this study was to (1) provide an accurate outline of the genetic diversity and population structure of G. delavayi and (2) propose targeted conservation strategies for these wild resources. Methods: Simple sequence repeats (SSR) markers were developed from the G. delavayi transcriptome for its genetic analysis. A total of 5,179 genic-SSR markers were identified and 350 primer pairs were selected for PCR validation. After primary screening , 19 polymorphic and neutral primer pairs were used to analyze the genetic diversity and population structure of nine wild fireweed populations (a total of 204 individuals) collected from Southwest China. Results: Moderate genetic diversity (allelic richness (Ar)=3.436, Shannon’s information index (I)=0.789 , observed heterozygosity (Ho)=0.304 , and expected heterozygosity (He)=0.415) and moderate differentiation (FST=0.110, P=0.000) were found among nine populations. The lowest genetic diversity (Ar=2.351, I=0.497, Ho=0.178, and He=0.284) and highest inbreeding (inbreeding coefficient (FIS)=0.365) were both detected within the isolated population PE. Furthermore, high genetic differentiation, limited gene flow, and clear genetic barrier were detected between PE and other populations, showing the significant effects of habitat fragmentation on the genetic differentiation of these G. delavayi populations. Conclusions: Our results showed that human overexploitation has led to moderate genetic diversity in G.delavayi populations. Furthermore, habitat fragmentation has resulted in clear genetic barrier and high differentiation between the isolated and concentrated populations. Upon the genetic features of wild G. delavayi populations, we proposed several strategies for protecting and utilizing the current wild resources.

scholarly journals Genetic Diversity and Population Structure of 93 Rice Cultivars (Lines) (Oryza Sativa Xian Group) in Qinba in China by 3 Types of Genetic Markers

2021 ◽  
Author(s):  
Yu Zhang ◽  
Yewen Wang ◽  
Peijiang Li ◽  
Yuexing Wang ◽  
Shimao Zheng ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variation ◽  
Genetic Markers ◽  
Ssr Markers ◽  
Diversity Index ◽  
Indica Rice ◽  
Mantel Test ◽  
Phenotypic Traits ◽  
Phenotypic Analysis

Abstract Background: The Qinba region is the transition region between Indica and Japonica varieties in China. It has a long history of Indica rice planting of more than 7000 years and is also a planting area for fine-quality Indica rice. The aims of this study are to explore different genetic markers applied to the analysis population structure, genetic diversity, selection and optimization of molecular markers of Indica rice, thus providing more information for the protection and utilization on germplasm resources of Indica rice. Methods: 15 phenotypic traits, a core set of 48 SSR markers as well as SNPs data obtained by genotyping-by-sequencing (GBS, NlaIII and MseI digestion, referred to as SNPs-NlaIII and SNPs-MseI, respectively) for this panel of 93 samples using the Illumina HiSeq2000 sequencing platform, were employed to explore the genetic diversity and population structure of 93 samples.Results: The average of coefficient of variation (CV) and diversity index (He) were 29.72% and 1.83 ranging from 3.07% to 137.43%, and from 1.45 to 2.03, respectively. The correlation coefficient between 15 phenotypic traits ranged from 0.984 to -0.604. The first four PCs accounted for 70.693% phenotypic variation based on phenotypic analysis. A total of 379 alleles were obtained using SSR markers, encompassing an average of 8.0 alleles per primer. Polymorphic bands (PPB) and polymorphism information content (PIC) was 88.65% and 0.77, respectively. The Mantel test showed that the correlation between the genetic distance matrix based on SNPs-NlaIII and SNPs-MseI was the largest (R2=0.88), and that based on 15 phenotypic traits and SSR was the smallest (R2=0.09). The 93 samples could be clustered into two subgroups by 3 types of genetic markers. Molecular variance analysis revealed that the genetic variation was 2% among populations and 98% within populations (the Nm was 0.16), Tajima’s D value was 1.66, the FST between the two populations was 0.61 based on 72,824 SNPs. Conclusions: The population genetic variation explained by SNPs was larger than that explained by SSRs. The gene flow of 93 samples used in this study was larger than that of naturally self-pollinated crops, which may be caused by long-term breeding selection of Indica rice in the Qinba region. The genetic structure of the 93 samples was simple and lacked rare alleles.

Revealing Genetic Diversity, Population Structure and Cultivar-Specific SSR Alleles in Pistachio Using SSR Markers

2021 ◽  
Author(s):  
Harun Karcı ◽  
Aibibula Paizila ◽  
Murat Güney ◽  
Mederbek Zhaanbaev ◽  
Salih Kafkas
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Large Scale ◽  
Germplasm Collection ◽  
Mean Value ◽  
Group Method ◽  
Arithmetic Average ◽  
Genic Ssr ◽  
Pair Group ◽  
Average Analysis

Abstract Pistachio (Pistacia vera L.) is the only cultivated species in Pistacia genus and one of the most important nut crop in terms of production. Pistachio cultivars have significant level of variation in their phenotypic appearance and productivity. Understanding the genetic diversity between pistachio cultivars could facilitate breeding programs. Simple sequence repeat (SSR) markers are powerful tools in genetic diversity and germplasm collection studies. However, published information about the characterization of large scale pistachio cultivar germplasm with adequate number of SSR markers is limited. In this study, sixty-six pistachio cultivars and genotypes originated from six different countries were characterized and fingerprinted by 74 genomic and 18 genic SSR markers. SSR analysis identified 576 alleles for all 66 cultivars and genotypes. The number of alleles per locus ranged from 2 to 20 (CUPOhBa1592) alleles with a mean value of six alleles per locus. The polymorphism information content (PIC) values ranged from 0.07 (CUPVEST2939) to 0.87 (CUPSiOh2460) with a mean PIC value of 0.58. The pistachio cultivars and genotypes were divided into five clusters according to Structure and UPGMA (Unweighted Pair Group Method with Arithmetic Average) analysis. Total of 61 cultivar specific alleles were detected in 34 cultivars, among them three primers (CUPOhBa1592, CUPBaPa1606 and CUPOhBa2127) produced more than four cultivar-specific loci therefore very promising for cultivar identification, fingerprinting and breeding studies in pistachio.

scholarly journals Genetic Diversity and Population Structure of 93 Rice Cultivars (Lines) (Oryza Sativa Xian Group) in Qinba in China By 3 Types of Genetic Markers

2022 ◽  
Author(s):  
Yu Zhang ◽  
Qiaoqiao He ◽  
Xixi Zhou ◽  
Yewen Wang ◽  
Peijiang Li ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variation ◽  
Genetic Markers ◽  
Ssr Markers ◽  
Diversity Index ◽  
Indica Rice ◽  
Mantel Test ◽  
Phenotypic Traits ◽  
Phenotypic Analysis

Abstract Background: The Qinba region is the transition region between Indica and Japonica varieties in China. It has a long history of Indica rice planting of more than 7000 years and is also a planting area for fine-quality Indica rice. The aims of this study are to explore different genetic markers applied to the analysis population structure, genetic diversity, selection and optimization of molecular markers of Indica rice, thus providing more information for the protection and utilization on germplasm resources of Indica rice. Methods: 15 phenotypic traits, a core set of 48 SSR markers as well as SNPs data obtained by genotyping-by-sequencing (GBS, NlaIII and MseI digestion, referred to as SNPs-NlaIII and SNPs-MseI, respectively) for this panel of 93 samples using the Illumina HiSeq2000 sequencing platform, were employed to explore the genetic diversity and population structure of 93 samples.Results: The average of coefficient of variation (CV) and diversity index (He) were 29.72% and 1.83 ranging from 3.07% to 137.43%, and from 1.45 to 2.03, respectively. The correlation coefficient between 15 phenotypic traits ranged from 0.984 to -0.604. The first four PCs accounted for 70.693% phenotypic variation based on phenotypic analysis. A total of 379 alleles were obtained using SSR markers, encompassing an average of 8.0 alleles per primer. Polymorphic bands (PPB) and polymorphism information content (PIC) was 88.65% and 0.77, respectively. The Mantel test showed that the correlation between the genetic distance matrix based on SNPs-NlaIII and SNPs-MseI was the largest (R2=0.88), and that based on 15 phenotypic traits and SSR was the smallest (R2=0.09). The 93 samples could be clustered into two subgroups by 3 types of genetic markers. Molecular variance analysis revealed that the genetic variation was 2% among populations and 98% within populations (the Nm was 0.16), Tajima’s D value was 1.66, the FST between the two populations was 0.61 based on 72,824 SNPs. Conclusions: The population genetic variation explained by SNPs was larger than that explained by SSRs. The gene flow of 93 samples used in this study was larger than that of naturally self-pollinated crops, which may be caused by long-term breeding selection of Indica rice in the Qinba region. The genetic structure of the 93 samples was simple and lacked rare alleles.

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