Genetic Diversity of Soybean Nodulating Sinorhizobium Strains from Different Areas in P. R. China Based on Phenotypic and Genetic Markers

1998 ◽  
pp. 592-592
Author(s):  
X. T. Qin ◽  
P. W. Whitty ◽  
X. X. Zhang ◽  
J. C. Zhou ◽  
F. D. Li ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Markers

scholarly journals Genetic diversity of Plasmodium vivax clinical isolates from southern Pakistan using pvcsp and pvmsp1 genetic markers

2013 ◽  
Vol 12 (1) ◽  
pp. 16 ◽  
Author(s):  
Afsheen Raza ◽  
Najia K Ghanchi ◽  
Ali M Thaver ◽  
Sana Jafri ◽  
Mohammad A Beg
Keyword(s):  
Genetic Diversity ◽  
Plasmodium Vivax ◽  
Genetic Markers ◽  
Clinical Isolates

scholarly journals Informational-Statistical Aspects of Genetic Diversity in Tsigai and Tsurcana Ecotypes from Romania

2017 ◽  
Vol 74 (2) ◽  
pp. 127
Author(s):  
Gheorghe HRINCĂ
Keyword(s):  
Genetic Diversity ◽  
Genetic Markers ◽  
Genetic Variants ◽  
Point Of View ◽  
Habitat Conditions ◽  
Sheep Breeds ◽  
Allelic Distribution ◽  
Biochemical Genetic ◽  
Genetic Structures ◽  
Genetic Diversity Level

The main objective of this paper is to measure the relationships between the ecotypes belonging to the Tigai and Tsurcana breeds of Romania and to quantify the genetic diversity within them from the informational statistics point of view, depending on the relief forms of the biotope in which they live, using the genetic variants of some selective genetic markers. The researches were carried out on ecotypes of the most ubiquitous sheep breeds in Romania, Tsigai and Tsurcana whose biotopes are circumscribed by more relief forms: plain, hilly, sub-mountainous and mountainous. The sheep were electrophoretically typified at the determinant loci of haemoglobin and transferrin. Using the allelic frequencies of the haemoglobin and transferrin systems that have been processed by concepts of informational statistics, the differentiation / similarity degree among ecotypes within the two breeds was quantified by the genetic distance (D) and the informational correlation coefficient (Rx,y), as well as the diversity level (d) of the genetic structures of these ecotypes on the basis of informational energy (e). Also, the heterozygosity degree (Ht) at the Hb and Tf loci was calculated in relation to the genetic diversity level. The paper analyzes the causes of genetic similarities and differentiations among the ecotypes of these two breeds at the level of the two biochemical-genetic loci: allelic distribution of haemoglobin and transferrin, altitude of relief forms, habitat conditions etc. The benefits of such studies are also presented for the improvement, breeding and conservation of the ecotypes of these two sheep breeds from Romania.

scholarly journals GENETIC DIVERSITY IN PUMMELO (CITRUS MAXIMA [BURM.] MERRILL), CITRON (C. MEDICA L.), AND TRIFOLIATE ORANGE (PONCIRUS TRIFOLIATA [L.] RAF) EVALUATED USING RFLPS

HortScience ◽  
1992 ◽  
Vol 27 (6) ◽  
pp. 624b-624
Author(s):  
Mikeal L. Roose ◽  
Claire T. Federici ◽  
Gregory P. Copenhaver
Keyword(s):  
Genetic Diversity ◽  
Disease Resistance ◽  
Genetic Markers ◽  
Biological Species ◽  
Poncirus Trifoliata ◽  
Trifoliate Orange ◽  
Citrus Germplasm ◽  
Citrus Maxima ◽  
Novel Alleles ◽  
Citrus Variety

To assess genetic diversity in the UC Riverside Citrus Variety Collection, all accessions of pummelo (59), citron (24), and trifoliate orange (48) were studied for RFLP variation using 11-18 cDNA probes that had previously been shown to reveal polymorphism in a broad range of citrus germplasm. Inheritance studies have shown that these probes hybridize to at least 20 loci. The taxa studied are believed to represent biological species rather than hybrids. Citrons were nearly monomorphic and most appeared homozygous at all of the loci studied. Pummelos were very polymorphic and highly heterozygous. Trifoliate orange, an important source of disease resistance in rootstock breeding, was nearly monomorphic but moderately heterozygous (17% of loci). Most accessions of trifoliate orange have evidently differentiated only by mutation. One multilocus probe separated trifoliate orange accessions into 3 groups. Two new trifoliate orange accessions had novel alleles at some loci. The use of genetic markers to recognize hybrid accessions classified as members of species will be discussed.

Application of molecular markers in parental selection in soybean

2008 ◽  
Vol 56 (4) ◽  
pp. 393-398 ◽  
Author(s):  
A. Sudaric ◽  
M. Vrataric ◽  
I. Rajcan ◽  
T. Duvnjak ◽  
M. Volenik
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Genetic Markers ◽  
Genetic Relationships ◽  
Field Trials ◽  
Agronomic Performance ◽  
Phenotypic Data ◽  
Parental Selection ◽  
Soybean Germplasm ◽  
Diversity Assessment

The rate of genetic gain in the quantity and quality of soybean grain depends considerably on the genetic diversity of the selected parental components. Genetic diversity assessment is a crucial aspect of breeding that maximizes genetic improvement. The objectives of this study were to evaluate the genetic diversity of the selected soybean germplasm using genetic markers, as well as to compare the effectiveness of breeding procedures with and without the use of genetic markers in parental selection. The genetic relationships within the selected soybean germplasm were estimated using 14 simple sequence repeats (SSRs). The agronomic performance (grain yield, protein and oil content in the grain) of the parental components and derived lines was determined in field trials. Based on SSR marker data and phenotypic data, an association was found between the agronomic performance of the derived lines and the genetic distance between the parental lines. Crosses between more diverse parents resulted in derived lines with greater values for grain yield and grain quality compared with the parents than crosses between similar parents. The results indicated the usefulness of genetic marker information in parental selection, contributing to breeding efficiency.

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.

scholarly journals An identification tool for the Australian weedy Sporobolus species based on random amplified polymorphic DNA (RAPD) profiles

2005 ◽  
Vol 56 (2) ◽  
pp. 157 ◽  
Author(s):  
Sangita Shrestha ◽  
Stephen W. Adkins ◽  
Glenn C. Graham ◽  
Donald S. Loch
Keyword(s):  
Genetic Diversity ◽  
Genetic Markers ◽  
Native Species ◽  
Random Amplified Polymorphic Dna ◽  
Data Matrix ◽  
High Genetic Diversity ◽  
Considerable Difficulty ◽  
Major Cluster ◽  
Weedy Species ◽  
Species Specific

Based on morphological features alone, there is considerable difficulty in identifying the 5 most economically damaging weed species of Sporobolus [viz. S. pyramidalis P. Beauv., S. natalensis (Steud.) Dur and Schinz, S. fertilis (Steud.) Clayton, S. africanus (Poir.) Robyns and Tourney, and S. jacquemontii Kunth.] found in Australia. A polymerase chain reaction (PCR)-based random amplified of polymorphic DNA (RAPD) technique was used to create a series of genetic markers that could positively identify the 5 major weeds from the other less damaging weedy and native Sporobolus species. In the initial RAPD profiling experiment, using arbitrarily selected primers and involving 12 species of Sporobolus, 12 genetic markers were found that, when used in combination, could consistently identify the 5 weedy species from all others. Of these 12 markers, the most diagnostic were UBC51490 for S. pyramidalis and S. natalensis; UBC43310, 2000, 2100 for S. fertilis and S. africanus; and OPA20850 and UBC43470 for S. jacquemontii. Species-specific markers could be found only for S. jacquemontii. In an effort to understand why there was difficulty in obtaining species-specific markers for some of the weedy species, a RAPD data matrix was created using 40 RAPD products. These 40 products amplified by 6 random primers from 45 individuals belonging to 12 species, were then subjected to numerical taxonomy and multivariate system (NTSYS pc version 1.70) analysis. The RAPD similarity matrix generated from the analysis indicated that S. pyramidalis was genetically more similar to S. natalensis than to other species of the ‘S. indicus complex’. Similarly, S. jacquemontii was more similar to S. pyramidalis, and S. fertilis was more similar to S. africanus than to other species of the complex. Sporobolus pyramidalis, S. jacquemontii, S. africanus, and S. creber exhibited a low within-species genetic diversity, whereas high genetic diversity was observed within S. natalensis, S. fertilis, S. sessilis, S. elongates, and S. laxus. Cluster analysis placed all of the introduced species (major and minor weedy species) into one major cluster, with S. pyramidalis and S. natalensis in one distinct subcluster and S. fertilis and S. africanus in another. The native species formed separate clusters in the phenograms. The close genetic similarity of S. pyramidalis to S. natalensis, and S. fertilis to S. africanus may explain the difficulty in obtaining RAPD species-specific markers. The importance of these results will be within the Australian dairy and beef industries and will aid in the development of integrated management strategy for these weeds.

scholarly journals Variasi Genetik Itik Bayang Berbasis Marka Mikrosatelit Pada Lokus AY287 dan Lokus AY283

2017 ◽  
Vol 11 (2) ◽  
pp. 91 ◽  
Author(s):  
Rusfidra Rusfidra ◽  
Y. Heryandi ◽  
Jamsari Jamsari ◽  
E. Y. Rahman
Keyword(s):  
Genetic Diversity ◽  
Microsatellite Markers ◽  
Key Words ◽  
Genetic Markers ◽  
Microsatellite Loci ◽  
Gel Electrophoresis ◽  
Genetic Resource ◽  
Allele Frequencies ◽  
Blood Samples

West Sumatera Province has poultry genetic resource of local duck that potential in supply<br />eggs and duck meat. Bayang duck was set by Indonesian Agricultural Ministry in 2012 as national livestock breeds in Indonesia. Microsatellite markers are widely used as a genetic identifier because of their abundant existence, co-dominant and high polymorphic. The purpose of this study was to determine the genetic diversity of Bayang ducks based on two microsatellite loci which include AY287 and AY283. DNA substances used in the study were blood samples from 24 Bayang duck in Pesisir Selatan Regency. The isolated DNA genom from 24 blood samples of Bayang duck could be detected by gel electrophoresis. Results showed that AY287 locus has 6 alleles; allele A (108 bp), allele B (142 bp), allele C (183 bp), allele D (227 bp), allele E (272 bp) and allele F (340 bp). Both allele E and F were specific genetic markers of Bayang duck. Alleles frequencies of the AY287 locus were as follow: allele C (26,93%), allele D (19,24%), allele A (15,38%), allele B (15,38%), allele E (15,38%) and allele F (7,69%). The AY283 locus has 6 alleles consisted of allele A (230 bp), allele B (320 bp), allele C (345 bp), allele D (390 bp), allele E (450 bp) and allele F (500 bp). Allele frequencies of this marker were allele B (20,51%), allele D (20,51%), allele E (20,51%), allele A (15,39%), allele C (15,39%), and allele F (7,69%), respectively. Our finding suggest that two microsatellite markers, AY287 and AY283, were polymorphic in Bayang duck population.<br />Key words: Bayang duck, microsatellite, AY283, AY287

Sign in / Sign up

Export Citation Format

Share Document