Development, characterization, functional annotation and validation of genomic and genic-SSR markers using de novo next generation sequencing in Melia dubia Cav.

被引:0
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作者
Dhavala Annapurna
Rekha Ravindranath Warrier
Arkalgud Nagaraja Arunkumar
Rajan Aparna
Chigatagere Nagaraj Sreedevi
Geeta Joshi
机构
[1] Genetics and Tree Improvement Division,
[2] Institute of Wood Science and Technology,undefined
[3] Institute of Forest Genetics and Tree Breeding,undefined
[4] Indian Council of Forestry Research and Education,undefined
来源
3 Biotech | 2021年 / 11卷
关键词
NGS; Genomic; Genic SSR; Genetic diversity; Wood stiffness;
D O I
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学科分类号
摘要
Melia dubia Cav. (Meliaceae), a fast-growing tropical tree finds use in plywood, pulp and high-value solid wood products. To increase its productivity, we must essentially capture genetic diversity and identify genotypes with superior wood properties. This study aimed to develop novel microsatellite markers from genomic data and validate the markers in M. dubia. Direct Seq-to-SSR approach was adopted and using an in-house Perl script, 426,390 SSR markers identified. For validation, selected 151 markers, of which 50 were genomic markers chosen randomly, and 101 were genic markers identified through BLAST2GO. Amplification was observed in all loci, and 81.4% generated high-quality, reproducible amplicons of the expected size. Out of 50 genomic markers, we used ten highly polymorphic markers to assess genetic diversity among 75 genotypes from three populations. One hundred fourteen alleles were recorded, with a moderate level of diversity and a positive fixation index. Twenty-nine genic markers representing 13 enzymes showing polymorphism for wood stiffness were selected for diversity assessment of 24 genotypes (12 genotypes each with high and low-stress wave velocity). The product size ranged from 87 to 279, covering the majority of the genome. Cluster and structure analysis segregated ~ 80% of the genotypes based on the trait. This is the first report of the development of genic markers from a genomic survey and has proved efficient in differentiating genotypes based on the trait. The markers developed in this study will be useful for genetic mapping, diversity estimation, marker-assisted selection for desired traits and breeding for wood traits in M. dubia.
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