scholarly journals Genetic diversity in Jatropha species from different regions of Brazil based on morphological characters and inters-simple sequence repeat (ISSR) molecular markers

2015 ◽  
Vol 14 (25) ◽  
pp. 2066-2079 ◽  
Author(s):  
Silva Rosa Pazeto Mariana ◽  
Helena Uneda Trevisoli Sandra ◽  
Arcenio Pimentel Correa Aretha ◽  
Formice Vianna Viviane ◽  
Carvalho Leite Daniel ◽  
...  
Author(s):  
P. Saikia ◽  
B. Neog ◽  
N. Gogoi ◽  
D. Baruah

Background: Joha Rice are aromatic rice landraces, having small to medium grain size, indigenous to Assam, India. Due to the introduction of high yielding hybrid varieties, many endemic rice landraces including Joha Rice, are in a verge of extinction, as these can only be conserved and maintained by repetitive cultivation. As there is a conflict of local names for these landraces, many landraces with similar morphological characters have been reported from various parts. Simple sequence repeat (SSR) markers with longer perfect repeats have earlier proved successful and essential in studying the genetic diversity among rice cultivars. The present study is aimed to evaluate the genetic relationship among fifteen (15) aromatic Joha rice landraces endemic to Upper Brahmaputra Valley, Assam.Methods: In the present investigation, different landraces of Joha rice were surveyed during 2016-2019. 15 landraces were selected, based on their morphological characters and local data. The collected germplasm of Joha rice was grown in the experimental plots and DNA from young, healthy leaves were isolated which were further used for determination of genetic diversity using SSR markers. Thirty-eight SSR markers were used to evaluate the genetic relationship among the fifteen aromatic rice landraces.Result: A total of 110 polymorphic alleles were detected by 34 markers across all the landraces, with an average of 3.25 per locus. The Polymorphic Information Content (PIC) ranged from 0.24 to 0.83, with an average of 0.5 for each marker. The marker RM154, RM454 and RM489 produced maximum six alleles showing PIC value of 0.82, 0.82 and 0.83, indicating a high polymorphism. UPGMA cluster analysis using Jaccard’s similarity index produced a dendrogram clustering the rice landraces in three major groups and five subgroups. Group II, which consisted of five sub-groups and 12 landraces, showed diverse genotypes. These landraces showed significant genetic similarities. 


2019 ◽  
Author(s):  
Nnamdi Ifechukwude Chidi ◽  
Adedotun Adeyinka Adekunle ◽  
Temitope Oluwaseun Samuel ◽  
Emmanuel Ifechukwude Eziashi ◽  
David Okeh Igwe

Abstract Background Improving oil palm in Nigeria for food security and subsequent export requires a better understanding of the genetic diversity among oil palm progenies tolerant and susceptible to Fusarium wilt disease. In view of the limitations of the orthodox method used in screening this disease, and the advantages of molecular markers, fourteen (14) Inter-simple sequence repeat (ISSR) DNA markers were applied to evaluate the genetic diversity, population structure and cluster resolutions of alleles responsible for tolerance of 560 Elaeis guineensis Jacq palms representing 8 different progenies distributed across NigeriaResults The amplification product revealed a moderately high level of genetic diversity with a total of 46 alleles identified, resulting in an average of 4.9091 alleles per locus detected between the oil palm progenies. Polymorphic information content (PIC) values varied between 0.3706-0.7861, with a mean value of 0.6829. The genetic diversity values ranged from 0.4063-0.8125 with a mean of 0.7216, while the major allele frequency ranged from 0.2500- 0.7500 with a mean value of 0.3750. Shannon's information index (I), Nei's gene diversity (H), and the effective number of alleles (Ne) had values of 0.6931, 0.5000, and 2.000, respectively. The genetic diversity was highest in progeny 3023, and lowest in progeny 4189. Mean values of the total gene diversity (Ht), gene diversity within the population (Hs) of the progenies, coefficient of gene differentiation among the progenies (Gst) and level of gene flow (Nm) were 0.4899, 0.3520, 0.2815 and 1.2764, respectively. The dendrogram clustered the progenies into six major clusters, while Principal Component Analysis (PCA) grouped the progenies into five clusters. PCA further identified the coordinate positions of tolerant and susceptible alleles of oil palm progeniesConclusion This study confirmed the identification of the coordinate positions of tolerant alleles in the gene loci, which could be exploited by breeders to developing tolerant oil palm seedlings.


2021 ◽  
Vol 22 (9) ◽  
Author(s):  
Evy Nasrika ◽  
Amin Retnoningsih

Abstract. Nasrika E, Retnonongsih A. 2021. Inter Simple Sequence Repeat molecular markers to reveal the genetic diversity of superior durian of Gunungpati, Semarang, Indonesia. Biodiversitas 22: 4054-4059. Kalimantan is the center of many tropical fruits, including durian. One of the edible durians and favorited by many is Durio zibethinus, which has many superior varieties. Almost all regions in Indonesia have superior durian varieties; for example, superior durian Gunungpati from Gunungpati Sub-district, the center for producing durian in Semarang City, Central Java, Indonesia. ISSR analysis was carried out to reveal the genetic diversity of the superior durian Gunungpati. DNA isolation of 16 superior durians used the modified CTAB method. The genomic DNA was amplified using 10 ISSR primers and then electrophoresed using 2% agarose gel. Data were analyzed using NTSYS PC version 2.02. The resulting allele has a relative size of 220 bp-1800 bp, with 87.9% are polymorphic. The similarity coefficient of 16 varieties was ranged between 0.54-0.88. All the superior durian varieties examined were different accessions so that each variety has the potential to be registered as a new variety of superior Indonesian durian. Specific alleles are found in G1, G3, G7, G8, and G13, which can be an identity of these varieties.


Genome ◽  
2005 ◽  
Vol 48 (2) ◽  
pp. 257-272 ◽  
Author(s):  
B Tar'an ◽  
C Zhang ◽  
T Warkentin ◽  
A Tullu ◽  
A Vandenberg

Random amplified polymorphic DNA, simple sequence repeat, and inter-simple sequence repeat markers were used to estimate the genetic relations among 65 pea varieties (Pisum sativum L.) and 21 accessions from wild Pisum subspecies (subsp.) abyssinicum, asiaticum, elatius, transcaucasicum, and var. arvense. Fifty-one of these varieties are currently available for growers in western Canada. Nei and Li's genetic similarity (GS) estimates calculated using the marker data showed that pair-wise comparison values among the 65 varieties ranged from 0.34 to 1.00. GS analysis on varieties grouped according to their originating breeding programs demonstrated that different levels of diversity were maintained at different breeding programs. Unweighted pair-group method arithmetic average cluster analysis and principal coordinate analysis on the marker-based GS grouped the cultivated varieties separately from the wild accessions. The majority of the food and feed varieties were grouped separately from the silage and specialty varieties, regardless of the originating breeding programs. The analysis also revealed some genetically distinct varieties such as Croma, CDC Handel, 1096M-8, and CDC Acer. The relations among the cultivated varieties, as revealed by molecular-marker-based GS, were not significantly correlated with those based on the agronomic characters, suggesting that the 2 systems give different estimates of genetic relations among the varieties. However, on a smaller scale, a consistent subcluster of genotypes was identified on the basis of agronomic characters and their marker-based GS. Furthermore, a number of variety-specific markers were identified in the current study, which could be useful for variety identification. Breeding strategies to maintain or enhance the genetic diversity of future varieties are proposed.Key words: Pisum sativum, molecular markers, genetic relationships, cluster analysis.


2019 ◽  
Vol 51 (5) ◽  
Author(s):  
Huifang Cao ◽  
Qiang Lin ◽  
Peiwang Li ◽  
Jingzhen Chen ◽  
Changzhu Li ◽  
...  

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