SSR analysis of 38 genotypes of soybean (Glycine Max (L.) Merr.) genetic diversity in India

Bisen, Anchal; Khare, D.; Nair, P. K. R.; Tripathi, Niraj

doi:10.1007/s12298-014-0269-8

Cited by 53 publications

(62 citation statements)

References 17 publications

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“…The PIC values ranged from 0.55 to 0.66. Various studies showed PIC values ranging from 0.199 to 0.87 (Wang et al, 2006;Hisano et al, 2007;Zhang et al, 2013;Kim et al, 2014;Bisen et al, 2015). The results of this study are in line with the findings of other studies.…”

Section: Introductionsupporting

confidence: 92%

“…Hipparagi et al (2017) analyzed 75 genotypes using 21 SSR markers and reported 60 alleles with an average of 2.85 alleles per locus. In another study, 38 soybean genotypes were analyzed using 16 SSR markers resulting in 51 alleles with an average of 2.22 alleles per locus (Bisen et al, 2015). In addition, Li et al (2008) reported 19.7 alleles per locus upon characterizing 1863 genotypes using 59 SSR markers, and a genetic diversity analysis of 205 Chinese landraces yielded 16.2 alleles per locus (Guan et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of SSR markers

2019

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In this study, we aimed to investigate the genetic diversity and polymorphism among 30 soybean genotypes maintained by the ARC using simple sequence repeat (SSR) markers. Soybean genotypes were characterized using 20 SSR primers. DNA was extracted using the standard cetyl trimethylammonium bromide method and amplified using PCR. Allele size was determined via comparison with a 100 base pair (bp) DNA ladder. Molecular data were analyzed, and a dendrogram and matrix were generated using GGT 2.0 software. A total of 216 alleles with an average of 10.8 alleles per locus were detected. The allele sizes ranged between 2 and 33 bp with an average of 18.7 bp. The polymorphic information content among genotypes varied from 0.85 (Satt001) to 0.75 (Satt43) with an average of 0.716, and heterozygosity ranged from 0.87 to 0.78 with an average of 0.7485. The most diverse genotypes were B 66 S 31, 69S 7, and R5-4-2 M, which indicated the efficiency of the SSR markers for the detection of genetic diversity. The results of the current study revealed the diversity among the soybean genotypes tested, which might aid breeders in the future in the selection of parents for breeding.

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Section: Introductionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of SSR markers

2019

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“…Hu et al (2014) performed association mapping of yield-related traits and SSR markers in wild soybean (Glycine soja Sieb.) and Bisen et al (2015) used SSR markers for diversity analysis of Indian soybean germplasm.…”

Section: Dna Markersmentioning

confidence: 99%

Molecular approaches for genetic improvement of seed quality and characterization of genetic diversity in soybean: a critical review

Tripathi

Khare

2016

Biotechnol Lett

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Soybean is an economically important leguminous crop. Genetic improvements of soybeans have focused on enhancement of seed and oil yield, development of varieties suited to different cropping systems, and breeding resistant/tolerant varieties for various biotic and abiotic stresses. Plant breeders have used conventional breeding techniques for the improvement of these traits in soybean. The conventional breeding process can be greatly accelerated through the application of molecular and genomic approaches. Molecular markers have proved to be a new tool in soybean breeding by enhancing selection efficiency in a rapid and time-bound manner. An overview of molecular approaches for the genetic improvement of soybean seed quality parameters, considering recent applications of marker-assisted selection and 'omics' research, is provided in this article.

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“…Marka ini juga dapat dimanfaatkan sebagai alternatif uji BUSS (Baru, Unik, Seragam, dan Stabil) dalam perlindungan varietas tanaman (Moeljopawiro, 2010). Banyak kelompok peneliti di berbagai negara telah memanfaatkan marka mikrosatelit dalam analisis dan pemetaan genetik kedelai (Diwan dan Cregan, 1997;Wang et al, 2005;Mulato et al, 2010;Tyagi dan Seti, 2011;Bisen et al, 2015). Di Indonesia, marka molekuler juga telah dimanfaatkan untuk karakterisasi kedelai (Arisetyaningsih et al, 2010;Wirnas et al, 2011;Wiradjaja, 2012).…”

Section: Pendahuluanunclassified

Analisis Keragaman Genetik Kedelai Introduksi Menggunakan Marka Mikrosatelit

Nugroho

Terryana²,

Reflinur³

et al. 2017

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ABSTRAKKedelai merupakan komoditas pangan penting selain padi dan jagung. Perakitan dan pengembangan varietas unggul berperan penting dalam meningkatkan produksi. Salah satu sumber daya genetik kedelai yang dapat digunakan dalam perakitan varietas unggul adalah varietas introduksi. Tujuan penelitian ini adalah untuk menganalisis keragaman genetik 35 kultivar kedelai introduksi yang berasal dari berbagai negara menggunakan 15 marka mikrosatelit. Penelitian dilakukan di laboratorium Biologi Molekuler BB Biogen, Januari-Maret 2016. Hasil analisis polymerase chain reaction (PCR) diberi skor data biner dan dianalisis menggunakan NTSYS dan power marker. Karakter morfologi spesifik setiap kultivar menetukan keragaman genetik. Korelasi positif signifikan diidentifikasi pada beberapa karakter morfologi yang bermanfaat dalam program pemuliaan dengan kombinasi karakter target. Sebanyak 189 alel berhasil dideteksi dengan kisaran 6-23 alel/lokus, rata-rata 12,6 alel/marka. Nilai PIC menunjukkan tingkat polimorfisme berkisar antara 0,76 (GmES1424) hingga 0,95 (Satt100) dengan rata-rata 0,86. Sebanyak 12 marka yang memiliki nilai PIC >0,80 menunjukkan kemampuan dalam mendiskriminasi kultivar kedelai. Frekuensi alel utama rata-rata 21% dengan nilai tertinggi 39% (Satt125) dan terendah 8% (Satt100). Lima marka SSR mampu mendiskriminasi genotipe heterozigot dengan nilai heterozigositas antara 0,41 (SoyF3H) hingga 0,82 (Satt333). Hasil analisis filogenetik menunjukkan 35 kultivar kedelai introduksi memisah menjadi dua klaster utama, masing-masing 13 dan 22 kultivar pada koefisien 0,82 berdasarkan latar belakang genetik. Marka mikrosatelit dan informasi keragaman genetik pada penelitian ini bermanfaat mengarahkan persilangan kedelai dengan memanfaatkan material genetik introduksi.Kata kunci: kedelai, kultivar introduksi, keragaman genetik, marka mikrosatelit ABSTRACT Soybean (Glycine max (L.) Meriil) is an important crop next to rice and corn. The development of improved variety are important to increase national soybean production. The introduced soybean varieties is one of genetic resources that can be used to create improved soybean varieties. The aim of this study was to analyze 35 introduced soybean cultivars using 15 microsatellite markers. The research was conducted in ICABIOGRAD Molecular Biology Laboratory, in January-March 2016. PCR analysis was scored as binary data and the collected data was analyzed using NTSYS and PowerMarker. Specific morphological characters from each soybean cultivar determine the genetic diversity. Significant positive correlations were identified among morphological characters which would be helpful to improve the desired character. The result showed that 189 alleles were detected with average of 12.6 alleles per marker. The polymorphism level (PIC) was 0.86 (0.76-0.95). There were 12 of total markers having PIC>0.80 indicating their robustness to discriminating soybean cultivars. The average major allele frequency was 21% and ranges from 8% (Satt100) to 39% (Satt125). Five SSRs were able to dist...

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SSR analysis of 38 genotypes of soybean (Glycine Max (L.) Merr.) genetic diversity in India

Cited by 53 publications

References 17 publications

Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of SSR markers

Genetic diversity analysis of soybean (Glycine max (L.) Merr.) genotypes making use of SSR markers

Molecular approaches for genetic improvement of seed quality and characterization of genetic diversity in soybean: a critical review

Analisis Keragaman Genetik Kedelai Introduksi Menggunakan Marka Mikrosatelit

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