Assessment of diversity and population structure of mango (Mangifera indica L.) germplasm based on microsatellite (SSR) markers

Razak, Shahril Ab; Azman, Nor Helwa Ezzah Nor; Ismail, Siti Norhayati; Yusof, Muhammad Fairuz Mohd; Ariffin, Muhammad Afiq Tajol; Sabdin, Zul Helmey Mohamad; Hassan, Muhamad Hafiz Muhamad; Nasir, Khairun Hisam; Sani, Mohd Asrul; Abdullah, Norzihan

doi:10.21475/ajcs.19.13.02.p1594

Cited by 11 publications

(8 citation statements)

References 32 publications

(39 reference statements)

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“…The PIC value also indicates the level of allele variation (Surapaneni et al 2013). The value is higher than the previous studies conducted by Razak et al (2019), Begum et al (2014), andAzam et al (2019), but lower than the value obtained by Ravishankar et al (2011). The difference in PIC values can be associated with differences in microsatellite allele profiles, the number of accessions studied, varieties, and locations (Surapaneni et al 2013).…”

Section: Microsatellite Analysiscontrasting

confidence: 57%

Microsatellites to reveal genetic diversity and to distinguish four mangoes of Tegal District, Central Java, Indonesia

et al. 2021

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Abstract. Hidayat A, Rahayu ES, Abdullah M, Retnoningsih A. 2021. Microsatellites to reveal genetic diversity and to distinguish four mangoes of Tegal District, Central Java, Indonesia. Biodiversitas 22: 3467-3473. The Wirasangka mango is Tegal District’s flora of identity, which requires recognition, and its existence deserves to be preserved. However, based on the morphology of the fruit, most of the people of Tegal still have difficulty distinguishing the wirasangka mango from other mangoes. Molecular markers are needed to ascertain the differences between these mango varieties. Microsatellite DNA is a repeating DNA of stable DNA markers with high repeatability and polymorphism. This study analyzes the level of genetic diversity and microsatellite alleles that can differentiate four mangoes from Tegal District, Central Java, Indonesia, i.e. wirasangka, tengkueh, golek, and okyong. Eleven accessions of six locations in Tegal District were analyzed using ten microsatellite loci. The microsatellite amplification result was separated using electrophoresis in 6% polyacrylamide gel and then visualized with silver dye. A total of 35 microsatellite alleles were found measuring 100-1000 bp, ranging from 1-7 alleles for each locus. The average polymorphism information content (PIC) of 0.54 indicates that genetic diversity is relatively high and informative. Therefore, the microsatellite alleles can be used to differentiate mango varieties. The specific allele characteristic of wirasangka mango accession is locus AJ63516, with an allele size of 600-700bp.

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Section: Microsatellite Analysiscontrasting

confidence: 57%

Microsatellites to reveal genetic diversity and to distinguish four mangoes of Tegal District, Central Java, Indonesia

et al. 2021

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“…While the lowest (one) numbers of amplified bands was recorded in MillHR20a and AJ635178 (Table 2). The results are in agreement with previous reports based on SSR markers developed for Mangifera indica to evaluate mango varieties in India [18,32,33], China [14,34], Indonesia [35], Pakistan [3,36], Maxico [37] and Japan [13].…”

Section: Discussionsupporting

confidence: 93%

SSR Markers-Based DNA Fingerprinting for Varietal Identification in Mango Cultivars

Iqbal,

Ashraf,

Kashif

et al. 2024

Preprint

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Mango (Mangifera indica L.) is an allotetraploid (2n = 4X= 40) drupe fruit and has high nutritional value belongs to genus Mangifera and family Anacardiaceae. Mango cultivars are used with worldwide acceptance to pharmacological, ethnomedical, and phytochemical industries. Assessment of the genetic distinctiveness of a cultivar through morphological descriptors is an important tool for both the registration and the protection. New mango genotypes have been improved using valuable diverse germplasm resources to ensure food security. DNA fingerprinting based simple sequence repeats (SSR)-markers have been the most broadly used, effective and accurate in evaluation of genetic characterization of a cultivar. Molecular breeding is an effective source of genetic gain after improvement of fruit trees using marker assisted genomic selection. Total genomic DNA (gDNA) was generated using CTAB method from each cultivar. The most effective 50 hyper-variable SSR markers were selected. Highly specific DNA fingerprints were identified in the candidate line ‘Azeem Chaunsa’ compared with three standard cultivars using SSR-PCR. An agglomerative hierarchical clustering method was used to construct dendrogram based on the UPGMA clustering method. Cultivar identification diagram (CID) was constructed to evaluate association among standard cultivars and Azeem Chaunsa. Our results showed that SSR markers could efficiently assess genetic diversity in mango. The genetic similarity coefficients were recorded between the cultivars of mango ranged from 0.49 to 0.67. CID results concluded that cultivar ‘Azeem Chaunsa’ varied significantly from the check cultivar, Sindhri (46.2%), S.B Chaunsa (45%) and Sufaid Chaunsa (46.7%). The results obtained in this study will orient cultivar identification strategies for a successful future.

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“…studies have been reported on the application of different molecular markers with different mango genotypes for genetic diversity analyses such as RAPD (Schnell et al 1995;López-Valenzuela et al 1997;Kumar et al 2001;Karihaloo et al 2003;Rahman et al 2007;Mansour et al 2008;Díaz-Matallana et al 2009;Mansour et al 2014;Ahmedand, Mohamed 2015;Rashed, Maklad 2016;Galal et al 2017;El-Sayed et al 2018;He et al 2021), AFLP (Kashkush et al 2001;Yamanaka et al 2006;Zhang et al 2014;Wang et al 2015;Dang, Chen 2017) and SSR (Duval et al 2005;Honsho et al 2005;Singh et al 2012;Tsai et al 2013;Azmat et al 2016;Lal et al 2017;Ajayi et al 2019;Razak et al 2019;Yamanaka et al 2019). The start codon targeted (SCoT) polymorphism is a simple and effective gene targeted marker technique based on the conserved region surrounding the translation codon ATG (Collard, Mackill 2009).…”

Section: Methodsmentioning

confidence: 99%

Molecular evaluation of selected mango genotypes grown in Egypt using SCoT and ISSR markers

Ghounim¹,

Mustafa²,

Hmmam³

2022

Hortic. Sci.

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The mango (Mangifera indica L.) is a common tropical and subtropical fruit and the second main fruit crop in Egypt. In this work, start codon targeted (SCoT) and inter simple sequence repeat (ISSR) markers were employed to study the genetic relationship among twenty-three mango genotypes grown under the El-Giza district conditions. These genotypes consist of four newly introduced cultivars, six new progenies and thirteen closely related mango cultivars which were included as cultivar references for the best definition. Based on the overall SCoT and ISSR data, a total of 52 bands were generated (18 for SCoT and 34 for ISSR) with a total polymorphic percentage equal to 53.84% (44.44% for SCoT and 58.82% for ISSR). Based on the whole set of SCoT and ISSR marker data, the genetic similarity coefficients ranged from 80 to 97% with a mean equal to 88.5% and the ﬁrst two principal axes explained about 31% of the total genetic variation among the mango accessions. The SCoT and ISSR data revealed that the four newly introduced mango genotypes, namely ‘Aya’, ‘Kasturi’, ‘Maya’ and ‘Omer’, are novel genetic resources based on their genetic profiles, which can be used for future breeding programmes in Egypt.

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Assessment of diversity and population structure of mango (Mangifera indica L.) germplasm based on microsatellite (SSR) markers

Cited by 11 publications

References 32 publications

Microsatellites to reveal genetic diversity and to distinguish four mangoes of Tegal District, Central Java, Indonesia

Microsatellites to reveal genetic diversity and to distinguish four mangoes of Tegal District, Central Java, Indonesia

SSR Markers-Based DNA Fingerprinting for Varietal Identification in Mango Cultivars

Molecular evaluation of selected mango genotypes grown in Egypt using SCoT and ISSR markers

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