Abstract:The development of expressed sequence tag-derived simple sequence repeats (EST-SSRs) provided a useful tool for investigating plant genetic diversity. In the present study, 22 polymorphic EST-SSRs from grain soybean were identified and used to assess the genetic diversity in 48 vegetable soybean accessions. Among the 22 EST-SSR loci, tri-nucleotides were the most abundant repeats, accounting for 50.00% of the total motifs. GAA was the most common motif among tri-nucleotide repeats, with a frequency of 18.18%. … Show more
“…By virtue of their reproducibility, multi-allelic nature, co-dominant inheritance, relative abundance, and good genome coverage (Powell et al, 1996), SSR markers have been largely applied to genetic diversity studies (Gupta and Varshney, 2000;Chen et al, 2011;Zhang et al, 2013) and used in a variety of applications related to pears, demonstrating their adaptability for Pyrus (Yamamoto et al, 2002;Bao et al, 2007;Katayama et al, 2007;Yao et al, 2010;Cao et al, 2012). SSR loci consist of randomly repeated DNA regions with motif lengths of one to six base pairs (bp) and are spread throughout the genome (Tóth et al, 2000).…”
A total of 8375 genic simple sequence repeat (SSR) loci were discovered from a unigene set assembled from 116 282 transcriptomic unigenes in this study. Dinucleotide repeat motifs were the most common with a frequency of 65.11%, followed by trinucleotide (32.81%). A total of 4100 primer pairs were designed from the SSR loci. Of these, 343 primer pairs (repeat length ≥15 bp) were synthesized with an M13 tail and tested for stable amplification and polymorphism in four Pyrus accessions. After the preliminary test, 104 polymorphic genic SSR markers were developed; dinucleotide and trinucleotide repeats represented 97.11% (101) of these. Twenty-eight polymorphic genic SSR markers were selected randomly to further validate genetic diversity among 28 Pyrus accessions. These markers displayed a high level of polymorphism. The number of alleles at these SSR loci ranged from 2 to 17, with a mean of 9.43 alleles per locus, and the polymorphism information content (PIC) values ranged from 0.26 to 0.91. The UPGMA (unweighted pair-group method with arithmetic average) cluster analysis grouped the 28 Pyrus accessions into two groups: Oriental pears and Occidental pears, which are congruent to the traditional taxonomy, demonstrating their effectiveness in analyzing Pyrus phylogenetic relationships, enriching rare Pyrus EST-SSR resources, and confirming the potential value of a pear transcriptome database for the development of new SSR markers.
“…By virtue of their reproducibility, multi-allelic nature, co-dominant inheritance, relative abundance, and good genome coverage (Powell et al, 1996), SSR markers have been largely applied to genetic diversity studies (Gupta and Varshney, 2000;Chen et al, 2011;Zhang et al, 2013) and used in a variety of applications related to pears, demonstrating their adaptability for Pyrus (Yamamoto et al, 2002;Bao et al, 2007;Katayama et al, 2007;Yao et al, 2010;Cao et al, 2012). SSR loci consist of randomly repeated DNA regions with motif lengths of one to six base pairs (bp) and are spread throughout the genome (Tóth et al, 2000).…”
A total of 8375 genic simple sequence repeat (SSR) loci were discovered from a unigene set assembled from 116 282 transcriptomic unigenes in this study. Dinucleotide repeat motifs were the most common with a frequency of 65.11%, followed by trinucleotide (32.81%). A total of 4100 primer pairs were designed from the SSR loci. Of these, 343 primer pairs (repeat length ≥15 bp) were synthesized with an M13 tail and tested for stable amplification and polymorphism in four Pyrus accessions. After the preliminary test, 104 polymorphic genic SSR markers were developed; dinucleotide and trinucleotide repeats represented 97.11% (101) of these. Twenty-eight polymorphic genic SSR markers were selected randomly to further validate genetic diversity among 28 Pyrus accessions. These markers displayed a high level of polymorphism. The number of alleles at these SSR loci ranged from 2 to 17, with a mean of 9.43 alleles per locus, and the polymorphism information content (PIC) values ranged from 0.26 to 0.91. The UPGMA (unweighted pair-group method with arithmetic average) cluster analysis grouped the 28 Pyrus accessions into two groups: Oriental pears and Occidental pears, which are congruent to the traditional taxonomy, demonstrating their effectiveness in analyzing Pyrus phylogenetic relationships, enriching rare Pyrus EST-SSR resources, and confirming the potential value of a pear transcriptome database for the development of new SSR markers.
“…Selaras dengan jumlah alel yang tinggi, nilai PIC mencerminkan tingkat polimorfisme (Tasliah et al, 2013). Diversitas gen total kedelai introduksi yang berasal dari negara subtropik (Amerika Serikat, Jepang, Swedia, Rusia, dan Kanada) juga lebih tinggi daripada diversitas gen koleksi kedelai gabungan dari negara di Asia maupun Amerika (Zhang et al, 2013;Kumawat et al, 2015).…”
“…Terdapat lima marka SSR yang mampu mendiskriminasi genotipe heterozigot dengan nilai heterozigositas berkisar antara 0,41 (SoyF3H) hingga 0,82 (Satt333). Sebegai tanaman yang menyerbuk sendiri, kedelai cenderung memiliki heterisigositas rendah, namun koleksi kedelai yang berasal dari berbagai negara ini, termasuk kedelai lokal Jepang dan Amerika Serikat, sangat mungkin memiliki tingkat heterozigositas yang tinggi secara fenotipik tetapi tidak terlihat akibat pengaruh lingkungan (Zhang et al, 2013).…”
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...
“…This process, which Harlan [19] called genetic erosion, appears because of the replacement of diverse indigenous populations with modern, new, uniform cultivars and hybrids, and it causes a considerable threat to the production of food and hence the survival of humans. A narrow genetic base has been identified in most soybean germplasm studies [20,21]. However, Hahn and Würschum [22] noted that the genetic base of middle European genotypes was not as narrow as expected because of the unsystematic phenotype selection.…”
The potential of soybean for food, feed, and pharmaceutical industry arises from the composition of its seed. Since European countries import 95% of the annual demand for soybean grains, meal, and oil, causing an enormous trade deficit, the governments in Europe had started to introduce additional incentives to stimulate soybean cropping. To rebalance the sources of soybean supply in the future, production must be followed by continuous research to create varieties that would make European soybean more appealing to the processing industry and profitable enough to satisfy European farmers. This chapter is giving an overview of the European soybean seed quality research and an insight into soybean seed quality progress made at the Agricultural Institute Osijek, Croatia. The studies presented are mainly considering maturity groups suitable for growing in almost all European regions. The most important traits of soybean seed quality discussed are protein content and amino acid composition, oil content and fatty acid composition, soluble sugars, and isoflavones. Defining quality traits facilitates the parental selection in breeding programs aiming to improve the added value properties of final soybean products and enables the exchange of materials between different breeding and research institutions to introduce diversity, which is a prerequisite for genetic advance.
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