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Rice Science ›› 2019, Vol. 26 ›› Issue (4): 239-247.DOI: 10.1016/j.rsci.2019.01.004

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  • 收稿日期:2018-11-14 接受日期:2019-01-14 出版日期:2019-07-28 发布日期:2019-04-04

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链接本文: http://www.ricesci.org/CN/10.1016/j.rsci.2019.01.004

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Supplemental Table 1 The list of drought tolerant and susceptible rice genotypes used for the assessment of genetic diversity.
No. Genotypes Eco Types Tolerance to stresses Other information
1 Swarna sub1 Shallow low land Tolerant to submergence and susceptible to drought Popular variety
2 IR64 sub1 Irrigated Tolerant to Submergence and susceptible to drought -
3 FR13A Shallow low land Tolerant to Submergence and susceptible to drought International submergence tolerance donor
4 CR143-2-2 Upland Drought Tolerance Drought tolerant check
5 N 22 Upland Drought Tolerance Drought and heat stress check
6 Brahamanakhi Upland/Medium land Drought Tolerance Landrace
7 Satyabhama Upland Drought Tolerance Released variety
8 IR 20 Irrigated Drought susceptible International Check
9 Nerica1 Upland/ Aerobic Drought Tolerance Suitable for Africa
10 Azucena Upland Drought Tolerance Tropical japonica
11 Curinga Upland Drought Tolerance Tropical japonica
12 MER20 Upland Drought Tolerance CSSLs/BC4F4 of O. meridionalis/ Curinga
13 RUF44 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
14 RUF16 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
15 RUF48 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
16 RUF13 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga

Supplemental Table 1 The list of drought tolerant and susceptible rice genotypes used for the assessment of genetic diversity.

No. Genotypes Eco Types Tolerance to stresses Other information
1 Swarna sub1 Shallow low land Tolerant to submergence and susceptible to drought Popular variety
2 IR64 sub1 Irrigated Tolerant to Submergence and susceptible to drought -
3 FR13A Shallow low land Tolerant to Submergence and susceptible to drought International submergence tolerance donor
4 CR143-2-2 Upland Drought Tolerance Drought tolerant check
5 N 22 Upland Drought Tolerance Drought and heat stress check
6 Brahamanakhi Upland/Medium land Drought Tolerance Landrace
7 Satyabhama Upland Drought Tolerance Released variety
8 IR 20 Irrigated Drought susceptible International Check
9 Nerica1 Upland/ Aerobic Drought Tolerance Suitable for Africa
10 Azucena Upland Drought Tolerance Tropical japonica
11 Curinga Upland Drought Tolerance Tropical japonica
12 MER20 Upland Drought Tolerance CSSLs/BC4F4 of O. meridionalis/ Curinga
13 RUF44 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
14 RUF16 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
15 RUF48 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
16 RUF13 Upland Drought Tolerance CSSLs /BC4F4 of O. rufipogon/ Curinga
Table 1 Number of alleles (Na), number of polymorphic alleles (Np), unique allele (Nu), low-frequency allele (Fla), high-frequency allele (Fha) and polymorphism information content (PIC) for 63 simple sequence repeats (SSRs) in 16 rice genotypes.
Marker Na Np Nu Fla Fha PIC Marker Na Np Nu Fla Fha PIC
RM315 2 2 0 1 1 0.49 RM596 1 0 0 0 1 0.00
RM472 2 2 1 0 1 0.12 RM512 1 0 0 0 1 0.00
RM302 1 0 0 0 1 0.00 RM179 1 0 0 0 1 0.00
RM431 2 2 0 1 1 0.34 RM277 1 0 0 0 2 0.75
RM212 2 2 0 0 2 0.75 RM313 1 0 0 0 1 0.00
RM543 2 2 0 0 2 0.68 RM83 1 0 0 0 1 0.00
RM259 2 2 0 1 1 0.53 RM101 2 2 0 1 1 0.53
RM488 2 2 1 0 1 0.12 RM309 2 2 0 0 2 0.75
RM521 2 2 0 0 2 0.75 RM28130 1 0 0 0 1 0.00
RM526 2 2 0 0 2 0.75 RM28050 1 0 0 0 1 0.00
RM555 1 0 0 0 1 0.00 RM28089 2 2 1 0 1 1.00
RM530 2 2 0 1 1 0.96 RM244 1 0 0 0 1 0.00
RM279 3 3 0 2 1 0.98 RM28067 1 0 0 0 1 0.00
RM416 1 0 0 0 1 0.00 RM28088 1 0 0 0 1 0.00
RM22 2 2 0 1 1 0.96 RM28099 1 0 0 0 1 0.00
RM16030 2 2 0 1 1 0.90 RM28078 1 0 0 0 1 0.00
RM60 1 0 0 0 1 0.00 RM3349 1 0 0 0 1 0.00
RM15780 1 0 0 0 1 0.00 RM28079 2 2 0 1 1 0.96
RM537 2 2 1 0 1 0.12 RM28082 1 0 0 0 1 0.00
RM252 3 3 0 0 3 0.86 RM28048 2 2 0 0 2 0.75
RM136 1 0 0 0 1 0.00 RM28069 1 0 0 0 1 0.00
RM527 1 0 0 0 1 0.00 RM28088 1 0 0 0 1 0.00
RM528 1 0 0 0 1 0.00 RM1261 2 2 0 1 1 0.96
RM5371 1 0 0 0 1 0.00 RM28075 1 0 0 0 1 0.00
RM541 2 2 1 0 1 1.00 RM28051 1 0 0 0 1 0.00
RM276 3 3 1 0 2 1.00 RM28050 1 0 0 0 1 0.00
RM210 3 3 0 1 2 0.34 RM12091 2 2 0 1 1 0.23
RM339 1 0 0 0 1 0.00 RM28090 1 0 0 0 1 0.00
RM337 2 2 0 0 2 0.61 RM28059 1 0 0 0 1 0.00
RM25 1 0 0 0 1 0.00 RM28095 1 0 0 0 1 0.00
RM464 2 2 0 0 2 0.00 Total 95 60 6 13 77 41.76
RM566 2 2 0 0 2 0.81 Mean 1.5 1.0 0.1 0.2 1.2 0.66
RM24390 1 0 0 0 1 0.00

Table 1 Number of alleles (Na), number of polymorphic alleles (Np), unique allele (Nu), low-frequency allele (Fla), high-frequency allele (Fha) and polymorphism information content (PIC) for 63 simple sequence repeats (SSRs) in 16 rice genotypes.

Marker Na Np Nu Fla Fha PIC Marker Na Np Nu Fla Fha PIC
RM315 2 2 0 1 1 0.49 RM596 1 0 0 0 1 0.00
RM472 2 2 1 0 1 0.12 RM512 1 0 0 0 1 0.00
RM302 1 0 0 0 1 0.00 RM179 1 0 0 0 1 0.00
RM431 2 2 0 1 1 0.34 RM277 1 0 0 0 2 0.75
RM212 2 2 0 0 2 0.75 RM313 1 0 0 0 1 0.00
RM543 2 2 0 0 2 0.68 RM83 1 0 0 0 1 0.00
RM259 2 2 0 1 1 0.53 RM101 2 2 0 1 1 0.53
RM488 2 2 1 0 1 0.12 RM309 2 2 0 0 2 0.75
RM521 2 2 0 0 2 0.75 RM28130 1 0 0 0 1 0.00
RM526 2 2 0 0 2 0.75 RM28050 1 0 0 0 1 0.00
RM555 1 0 0 0 1 0.00 RM28089 2 2 1 0 1 1.00
RM530 2 2 0 1 1 0.96 RM244 1 0 0 0 1 0.00
RM279 3 3 0 2 1 0.98 RM28067 1 0 0 0 1 0.00
RM416 1 0 0 0 1 0.00 RM28088 1 0 0 0 1 0.00
RM22 2 2 0 1 1 0.96 RM28099 1 0 0 0 1 0.00
RM16030 2 2 0 1 1 0.90 RM28078 1 0 0 0 1 0.00
RM60 1 0 0 0 1 0.00 RM3349 1 0 0 0 1 0.00
RM15780 1 0 0 0 1 0.00 RM28079 2 2 0 1 1 0.96
RM537 2 2 1 0 1 0.12 RM28082 1 0 0 0 1 0.00
RM252 3 3 0 0 3 0.86 RM28048 2 2 0 0 2 0.75
RM136 1 0 0 0 1 0.00 RM28069 1 0 0 0 1 0.00
RM527 1 0 0 0 1 0.00 RM28088 1 0 0 0 1 0.00
RM528 1 0 0 0 1 0.00 RM1261 2 2 0 1 1 0.96
RM5371 1 0 0 0 1 0.00 RM28075 1 0 0 0 1 0.00
RM541 2 2 1 0 1 1.00 RM28051 1 0 0 0 1 0.00
RM276 3 3 1 0 2 1.00 RM28050 1 0 0 0 1 0.00
RM210 3 3 0 1 2 0.34 RM12091 2 2 0 1 1 0.23
RM339 1 0 0 0 1 0.00 RM28090 1 0 0 0 1 0.00
RM337 2 2 0 0 2 0.61 RM28059 1 0 0 0 1 0.00
RM25 1 0 0 0 1 0.00 RM28095 1 0 0 0 1 0.00
RM464 2 2 0 0 2 0.00 Total 95 60 6 13 77 41.76
RM566 2 2 0 0 2 0.81 Mean 1.5 1.0 0.1 0.2 1.2 0.66
RM24390 1 0 0 0 1 0.00
Supplemental Table 2 List of microsatellite markers associated with drought-tolerant QTLs used for assessment of genetic diversity study.
Microsatellite marker Amp. range (bp) Markers positions (cM) Chr. QTLs Reference
RM315 120-133 165.0 1 qDTY1.1 Dixit et al, 2012
RM472 296-300 168.2-172.0 1 qDTY1.1 Venuprasad et al, 2012
RM431 296-250 178.3 1 qDTY1.1 Gimhani et al, 2016; Vikram et al, 2011; Kumar et al, 2014
RM212 136-150 163.1 1 qDTY1.1 Vikram et al, 2011
RM488 177-200 101 1 qDTY1.1 Kumar et al, 2014
RM555 223 20.3 2 qDTY2.2 Kumar et al, 2014
RM279 140-174 134 2 qDTY2.2 Sandhu et al, 2018
RM60 165 - 3 qDTF3.2 Vikram et al, 2011; Awasthi, 2014
RM22 180-194 7.2 3 qDTF3.2 Vikram et al, 2011; Awasthi, 2014
RM541 150-158 75.5 6 qDTY 6.2 Dixit et al, 2012
RM28048 80-93 - 12 qDTY12.1 Awasthi, 2014;Bernier et al, 2009
RM1261 160-167 61.6 12 qDTY12.1 Dixit et al, 2012

Supplemental Table 2 List of microsatellite markers associated with drought-tolerant QTLs used for assessment of genetic diversity study.

Microsatellite marker Amp. range (bp) Markers positions (cM) Chr. QTLs Reference
RM315 120-133 165.0 1 qDTY1.1 Dixit et al, 2012
RM472 296-300 168.2-172.0 1 qDTY1.1 Venuprasad et al, 2012
RM431 296-250 178.3 1 qDTY1.1 Gimhani et al, 2016; Vikram et al, 2011; Kumar et al, 2014
RM212 136-150 163.1 1 qDTY1.1 Vikram et al, 2011
RM488 177-200 101 1 qDTY1.1 Kumar et al, 2014
RM555 223 20.3 2 qDTY2.2 Kumar et al, 2014
RM279 140-174 134 2 qDTY2.2 Sandhu et al, 2018
RM60 165 - 3 qDTF3.2 Vikram et al, 2011; Awasthi, 2014
RM22 180-194 7.2 3 qDTF3.2 Vikram et al, 2011; Awasthi, 2014
RM541 150-158 75.5 6 qDTY 6.2 Dixit et al, 2012
RM28048 80-93 - 12 qDTY12.1 Awasthi, 2014;Bernier et al, 2009
RM1261 160-167 61.6 12 qDTY12.1 Dixit et al, 2012
Fig. 1. Two-dimensional plot (A) and three-dimensional plot (B) from the principal component analysis (PCA) for 16 rice genotypes based on 63 simple sequence repeat markers.

Fig. 1. Two-dimensional plot (A) and three-dimensional plot (B) from the principal component analysis (PCA) for 16 rice genotypes based on 63 simple sequence repeat markers.

Table 2 Genetic similarity coefficient among 16 rice genotypes.
Genotype Swarna-sub1 IR64-sub1 FR13A CR143-2-2 Bra Sat N22 Nerical IR20 Azucena Curinga MER20 RUF44 RUF16 RUF48
IR64-sub1 0.85
FR13A 0.79 0.80
CR143-2-2 0.73 0.83 0.75
Bra 0.77 0.78 0.75 0.78
Sat 0.79 0.90 0.78 0.93 0.82
N22 0.72 0.77 0.81 0.85 0.75 0.86
Nerical 0.78 0.84 0.77 0.86 0.81 0.93 0.87
IR20 0.73 0.74 0.68 0.76 0.73 0.82 0.77 0.83
Azucena 0.68 0.71 0.65 0.68 0.66 0.74 0.72 0.81 0.83
Curinga 0.65 0.68 0.66 0.65 0.63 0.71 0.73 0.76 0.76 0.86
MER20 0.61 0.64 0.63 0.62 0.62 0.67 0.69 0.73 0.75 0.84 0.96
RUF44 0.56 0.59 0.62 0.57 0.57 0.62 0.64 0.67 0.71 0.80 0.89 0.93
RUF16 0.54 0.56 0.59 0.58 0.54 0.59 0.65 0.64 0.68 0.77 0.82 0.86 0.87
RUF48 0.54 0.56 0.59 0.58 0.54 0.59 0.65 0.64 0.68 0.77 0.82 0.86 0.87 1.00
RUF13 0.56 0.57 0.58 0.57 0.55 0.58 0.62 0.61 0.65 0.73 0.78 0.82 0.83 0.96 0.96
Bra, Brahamanakhi; Sat, Satyabhama.

Table 2 Genetic similarity coefficient among 16 rice genotypes.

Genotype Swarna-sub1 IR64-sub1 FR13A CR143-2-2 Bra Sat N22 Nerical IR20 Azucena Curinga MER20 RUF44 RUF16 RUF48
IR64-sub1 0.85
FR13A 0.79 0.80
CR143-2-2 0.73 0.83 0.75
Bra 0.77 0.78 0.75 0.78
Sat 0.79 0.90 0.78 0.93 0.82
N22 0.72 0.77 0.81 0.85 0.75 0.86
Nerical 0.78 0.84 0.77 0.86 0.81 0.93 0.87
IR20 0.73 0.74 0.68 0.76 0.73 0.82 0.77 0.83
Azucena 0.68 0.71 0.65 0.68 0.66 0.74 0.72 0.81 0.83
Curinga 0.65 0.68 0.66 0.65 0.63 0.71 0.73 0.76 0.76 0.86
MER20 0.61 0.64 0.63 0.62 0.62 0.67 0.69 0.73 0.75 0.84 0.96
RUF44 0.56 0.59 0.62 0.57 0.57 0.62 0.64 0.67 0.71 0.80 0.89 0.93
RUF16 0.54 0.56 0.59 0.58 0.54 0.59 0.65 0.64 0.68 0.77 0.82 0.86 0.87
RUF48 0.54 0.56 0.59 0.58 0.54 0.59 0.65 0.64 0.68 0.77 0.82 0.86 0.87 1.00
RUF13 0.56 0.57 0.58 0.57 0.55 0.58 0.62 0.61 0.65 0.73 0.78 0.82 0.83 0.96 0.96
Bra, Brahamanakhi; Sat, Satyabhama.
Fig. 2. Unweighted pair-group method with arithmetic means (UPGMA) dendrogram for 16 rice genotypes based on genetic similarity by 63 simple sequence repeat markers.

Fig. 2. Unweighted pair-group method with arithmetic means (UPGMA) dendrogram for 16 rice genotypes based on genetic similarity by 63 simple sequence repeat markers.

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