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. 2020 Jul 27;11:706. doi: 10.3389/fgene.2020.00706

TABLE 3.

Performance comparison between SSRMMD and other two software programs for developing candidate polymorphic SSRs.

Organism Rice (∼0.39 Gb)
Cotton (∼2.29 Gb)
Wheat (∼14.23 Gb)
Software SSRMMD GMATA CandiSSRc SSRMMD GMATA CandiSSR SSRMMD GMATA CandiSSRd
Total number of SSRa 111,960 111,905 111,905 384,488 384,400 384,400 1,345,128 1,343,831 1,331,146
Number of candidate marker 68,242 34,667 8,230 292,307 166,813 16,315 572,023 477,531 129,461
Candidate marker rate (%) 60.95 30.98 7.35 76.02 43.40 4.24 42.53 35.54 9.73
Number of monomorphic SSR 50,895 22,865 0 259,972 135,821 0 364,279 225,287 0
Number of polymorphic SSR 17,347 11,802 8,230 32,335 30,992 16,315 207,744 252,244 129,461
Polymorphic rate (%) 15.49 10.55 7.35 8.41 8.06 4.24 15.44 18.77 9.73
Time (min:s)b 6:08 16:15 8,117:37 30:30 119:06 1,746:23 184:55 6,363:45 118,953:53

Note. SSRMMD, Simple Sequence Repeat Molecular Marker Developer; SSR, simple sequence repeat. aTotal number of SSR referred to Zhenshan97 (rice), TM1 (cotton), and CS (wheat). bBecause GMATA could not simultaneously mine different types of motifs in one task, it was multiply performed to identify SSRs, and then the time was added. cBecause CandiSSR could not normally calculate chromosome 8 of rice (the program stopped at the BLAST stage), the results of CandiSSR did not include chromosome 8. dBecause CandiSSR spent numerous time to mine polymorphic SSRs of wheat, we only selected chromosome 5D (closest to the total SSR density of wheat) to estimate the number of polymorphic SSRs.