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In our study, 4064 putative SSRs markers have been identified from ~54.6 Mb of BES, giving a density of one SSR per every ~13.4 kb of the flax genome, compared to an earlier study of mining SSRs from ESTs in which one SSR per 16.5 kb was reported [ 89].
Mining SSRs from ESTs is becoming popular for SSR development.
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aTransposable element; bRetroelement To enlarge the pool of SSRs in peanut, BES sequences were used for mining SSRs.
A total of 9,517 unique genome survey sequences (GSS) were used for mining SSRs.
Thus, EST sequences are indeed an excellent resource for mining SSRs in date palm.
After removing short or redundant sequences, BES sequences were used for mining SSRs using the MISA search module [ 53, 54].
A study to mine SSRs in silico from 22298 EST sequences of eucalypts revealed that primers could be designed for 1244 microsatellites, of which 182 were selected for characterization based on polymorphism status among species (Grattapaglia et al. [2014]).
The gene sequences were used to mine SSRs in SSR identification tool [ 30].
A total of 28,889 EST sequences were used to mine SSRs with the cutoff of repeat number ≥ 5 for dinucleotide SSRs, ≥ 4 for trinucleotide SSRs, and ≥ 3 for tetra-, pentand and hexanucleotide SSRs.
We thus mined SSRs in the qRgls2 region based on the B73 reference genome and identified 826 single/low-copy SSRs.
Unlike the previous reports, all types of characterized candidate genes including transporter, transcription factor, antioxidant, DNA/RNA modifying which showed differential regulation under salinity stress in rice were selected from published literature and their sequence were used to mine SSR loci.
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