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Short Note

Development of Simple Sequence Repeats (SSR) Markers in Setaria italica (Poaceae) and Cross-Amplification in Related Species

Department of Life Sciences, Institute of Biodiversity, National Cheng Kung University, Tainan 70101, Taiwan
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2011, 12(11), 7835-7845; https://doi.org/10.3390/ijms12117835
Submission received: 14 October 2011 / Revised: 28 October 2011 / Accepted: 4 November 2011 / Published: 11 November 2011

Abstract

:
Foxtail millet is one of the world’s oldest cultivated crops. It has been adopted as a model organism for providing a deeper understanding of plant biology. In this study, 45 simple sequence repeats (SSR) markers of Setaria italica were developed. These markers showing polymorphism were screened in 223 samples from 12 foxtail millet populations around Taiwan. The most common dinucleotide and trinucleotide repeat motifs are AC/TG (84.21%) and CAT (46.15%). The average number of alleles (Na), the average heterozygosities observed (Ho) and expected (He) are 3.73, 0.714, 0.587, respectively. In addition, 24 SSR markers had shown transferability to six related Poaceae species. These new markers provide tools for examining genetic relatedness among foxtail millet populations and other related species. It is suitable for germplasm management and protection in Poaceae.

1. Introduction

Foxtail millet (Setaria italica (L.) P. Beauv) is an old cereal consumed by people in Euraisa, Americas, Africa and Australia. It has also been an important crop for the indigenous tribes of Taiwan for thousands of years. It is able to endure droughts and grows quickly; therefore, the indigenous people cultivate foxtail millet instead of rice. Though several researches have used a few millet strains from Taiwan, little is known about the genetic diversity in hundreds of local landraces scattered throughout Taiwan [1,2].
With a relatively small genome (515 Mb), the diploid foxtail millet has been adopted as model organism for providing deep understanding of the plant biology [3]. The importance of this species is rising since the project of its genome draft has been conducted by the Joint Genome Institute (JGI) of the US Department of Energy [4]. Compared to other familiar model systems, such as Arabidopsis (Arabidopsis thaliana), rice, or maize, large amounts of the genetic information were provided as an important resource for the research community. However, insufficient genetic resources of Setaria italica distributed around the world have been studied.
Several molecular markers in foxtail millets have been utilized including RFLP [1,3], RAPD [5], AFLP [6], and simple sequence repeats (SSR) [7,8]. These researches mainly focused on the species origin and the genetic map construction; no studies were conducted to assess the genetic diversity of the varying landraces in Taiwan.
Microsatellite, which is also called simple sequence repeats (SSR), are tandem repeat sequences of 1–6 base pairs of DNA. It has been proven to be useful in genetic diversity studies because of its high polymorphism, high variation, with abundant information and convenience; thus it is widely employed in many species [914]. Broadening the genetic base is regarded as a major task in species where inbreeding works have resulted in the decline of genetic diversity [15]. Several SSR markers have been developed by Jia et al. [78], as no one can ensure if novel SSR markers provide benefits or not. Reports have demonstrated that tetranucleotides are typically easier to be genotyped than di- and tri-nucleotide repeat SSRs [16]. To distinctly quantify the genetic variation among varying foxtail millets landraces in Taiwan, more SSR loci need to be developed.
In the present study, we report the identification of different types of SSR loci within representative landraces of foxtail millet by examining their polymorphism and cross-amplification in a further six related Poaceae species.

2. Results and Discussion

2.1. Microsatellite Loci Isolation

A total number of 570 genomic sequences from the RAPD-enriched library and 158 genomic sequences downloaded from the GenBank were screened for SSRs. In these sequences, 134 SSR among the 570 sequences and 16 SSR from the 158 GenBank sequences were found. A total of 150 SSR primer pairs were designed successfully by PRIMER3. Forty-five out of 150 SSR markers showed polymorphism among seven millets strains (NCKU.S.I.P1001, NCKU.S.I.P2001, NCKU.S.I.P3001, NCKU.S.I.P4001, NCKU.S.I.P5001, NCKU.S.I.P6001, NCKU.S.I.P7001) (Table 1).

2.2. Characterization of Microsatellite Loci

Among these 45 SSRs, 19 contained dinucleotide repeats, and 26 contained trinucleotide. The most common dinucleotide repeats motif was AC/TG (84.21%). CAT was the most common trinucleotide repeat motif in foxtail millet (46.15%). However, according to research of EST-SSR markers of foxtail millet, the most common repeat motifs were TC/AG [7] and CAG/TCT [8]. The most common repeats in wheat are CA or TG, also GA [17] or GT repeats [18]. In other monocot crops such as barley, wheat, maize, sorghum and rice, the most common trinucleotide repeats were CCG/GGC or AAC/TTG [19]. The differences may be caused by different genomes being tested or our use of different SSR isolation strategies with varying affinities.

2.3. Genetic Characterization of Microsatellite Loci

Forty-five SSRs were PCR amplified in 223 samples from 12 collection sites to assess the diversity of foxtail millet in Taiwan. Characterizations of these loci are summarized in Table 2. The average number of alleles (Na) ranged from 1 to 8, with an average of 3.73. The average observed heterozygosities (Ho) ranged from 0 to 0.886 with an average of 0.714. The expected heterozygosities (He) ranged from 0 to 0.813, with an average of 0.587. No linkage disequilibrium was observed from pairwise comparisons of loci. 32 SSR loci significantly deviated from Hardy-Weinberg equilibrium (HW) (Table 2 and Table 1S), which were assumed to be a result of long time isolation of the foxtail millet population in Taiwan. GenBank (BLASTX) searches indicated that three SSR loci among the 45 SSR markers, including SITM 15, SITM34 and SITM59 have putative function at E values less than 10−05 (Table 1).

2.3. Cross-Amplification of SSR Loci in Related Poaceae Species

Cross-species amplification with the 45 SSR primers obtained from Setaria italica were applied to six other related species (N = 18), including Hygroryza aristata (Retz.) Nees (Asian watergrass), Setaria plicata (Lamk.) T cooke (Small palm grass), Microstegium vimineum (Trin.) A camus (Flexible sasa grass), Oplimenus compositus (L.) P. Beauv (Armgrass), Cynodon dactylon (L.) Pers (Bermuda Grass), and Setaria verticillata (L.) P. Beauv (Hooked Bristlegrass). Finally, 24 primers could yield PCR products in the other Poaceae species, indicating transferability of the markers (53%) (Table 3).

3. Experimental Section

3.1. Samples Collection

A total of 223 samples of Setaria italica were collected from 12 sites in Taiwan. Six Poaceae species each with 3 samples were collected for cross-species amplification. All samples of the tested materials were listed in Table 4. Genomic DNA was isolated from leaf tissue of each individual using a DNeasy Plant Mini Kit (Qiagen, Hilden, Germany).

3.2. Development and Screening of SSR Markers

The strategies in this study are based on PCR isolation of microsatellite arrays (PIMA), which began with an enriched pool of small DNA fragments amplified using RAPD primers [20]. PCR amplification was performed in 20 μL volume containing 20 ng of genomic DNA, 0.2 mM of dNTPs, 2 mM MgCl2, 0.2 U Go-Taq polymerase (Promega, Madison, Wisconsin, USA), and 5 pmol of one RAPD primers. Five-hundred RAPD primers were used to construct randomly amplified fragments library (MDBIO, Piscataway, New Jersey, USA). Reactions were run on an MyCyclerTM Thermal Cycler (BIO-RAD, Benicia, California, USA) using the following conditions: 3 min of denaturation at 94 °C, followed by 45 cycles at 94 °C for 1 min, annealing temperature specific to each primer for 1 min, extension at 72 °C for 2 min, and a final extension at 72 °C for 5 min. Amplification products were analyzed in the electropHoresis (2% agarose gel using 100-bp ladder molecular size standard) (Geneaid, Taipei, Taiwan) to evaluate the allele size through ethidium bromide staining. The amplified DNA fragments with the size of 200–2000 bp were extracted using the Gel Extraction kit (Geneaid, Taipei, Taiwan). DNA fragments were ligated into a p-GEM-T Easy Vector following the manufacturer’s instruction and the plasmids were transformed into Escherichia coli cells (Promega, Madison, Wisconsin, USA). Each clone was screened using repeat-specific primers including (AC)5, (AG)5, (AT)5, (CG)5, (CT)5 and (GT)5 and 2 vector primers including forward M13 (5′-dGTTTTCCCAGTCACGAC-3′) and reverse M13 (5′-dGTTTTCCCAGTCACGAC-3′) primers. The conditions of colony-PCR are 3 min at 94 °C, followed by 45 cycles at 94 °C for 1 min, annealing at 53 °C for 1 min, 2 min at 72 °C, and 5 min at 72 °C. In positive clones, a DNA fragment which contains a SSR appears as a band on the gel. Plasmid DNA of positive clones was purified using the Plasmid Miniprep Kit (BioKit, Miaoli, Taiwan). Ten μL of plasmid DNA with a concentration of 100 ng/μL was used in each sequencing reaction. DNA sequencing in both directions of the insert DNA was conducted using an Applied Biosystems 3730 DNA Analyzer with BigDyeR Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, Foster, California, USA). There were 134 SSRs among 570 positive clones examined.
To obtain additional useful SSR markers, 158 genomic DNA sequences of foxtail millets were downloaded from GenBank [21]. The criteria of no less than 16 repeat units for mono-, nine for di-, five for tri- to hexa-nucleotide repeats in perfect SSR and no less than 12 bp for imperfect SSR were adopted. Finally, a total of 150 SSR primer pairs were designed using PRIMER3 software for detecting the diversity of foxtail millet in Taiwan [22].

3.3. Characterization of Developed SSR Primers

To evaluate the usefulness of SSRs, PCR reactions were performed on 20 μL volumes containing 10 ng of genomic DNA, 0.2 mM dNTPs, 2 mM MgCl2, 0.2 U Go-Taq polymerase and 0.12 μm of each primer. PCR conditions were as follows: 3 min at 94 °C, followed by 35 cycles at 94 °C for 1 min, annealing temperature specific to each primer for 1 min, 1 min at 72 °C, and 5 min at 72 °C.
The average number of allele (Na), the average observed (Ho), and expected heterozygosities (He) were calculated using the software CERVUS 3.0 [23]. Test of deviation of Hardy-Weinberg equilibrium (HW) and linkage disequilibrium (LD) were performed using the GenePop program [24]. The sequences were searched against the GenBank nucleotide collection database using TBLASTX for functional annotation with a thresHold of E-value < 1.00 E−05.

3.4. Cross-Amplification of Developed SSR Markers

Furthermore, cross-species amplification of the SSR primers obtained from Setaria italica were applied to six other related species (N = 18). SSR markers were PCR amplified on 20 μL volumes containing 10 ng of genomic DNA, 0.2 mM dNTPs, 2 mM MgCl2, 0.2 U Go-Taq polymerase and 0.12 μm of each primer. The conditions are carried out as following: 3 min at 94 °C, 35 cycles at 94 °C for 1 min, annealing temperature specific to each primer for 1 min, 1 min at 72 °C, and 5 min at 72 °C.

4. Conclusions

In summary, these 45 novel SSR markers of foxtail millet showed polymorphism and transferability to the related Poaceae species in Taiwan. They can be used as molecular markers for application of population genetics, breeding and further landraces identification.

Supplementary Material

ijms-12-07835-s001.pdf

References

  1. Fukunaga, K.; Wang, Z.; Kato, K.; Kawase, M. Geographical variation of nuclear genome RFLPs and genetic differentiation of foxtail millet, Setaria italica (L.) P. Beauv. Genet. Resour. Crop Evol 2002, 49, 95–101. [Google Scholar]
  2. Hirano, R.; Naito, K.; Fukunaga, K.; Watanabe, K.N.; Ohsawa, R.; Kawase, M. Genetic structure of landraces in foxtail millet (Setaria italica (L.) P. Beauv.) revealed with transposon display and interpretation to crop evolution of foxtail millet. Genome 2011, 54, 498–506. [Google Scholar]
  3. Wang, Z.M.; Devos, K.M.; Liu, C.J.; Wang, R.Q.; Gale, M.D. Construction of RFLP-based maps of foxtail millet, Setaria italica (L.) P. Beauv. Theor. Appl. Genet 1998, 96, 31–36. [Google Scholar]
  4. Doust, A.N.; Elizabeth, A.K.; Katrien, M.D.; Jeffery, L.B. Foxtail millet: A sequence-driven grass model system. Plant Physiol 2009, 149, 137–141. [Google Scholar]
  5. ScHontz, D.; Rether, B. Genetic variability in foxtail millet, Setaria italica (L.) P. Beauv: Identification and classification of lines with RAPD markers. Plant Breed 1999, 118, 190–192. [Google Scholar]
  6. Le Thierry D’ennequin, M.; Panaud, O.; Toupance, B. Assessment of genetic relationships between Setaria italica and its wild relatives S. viridis using AFLP marker. Theor. Appl. Genet 2000, 100, 1061–1066. [Google Scholar]
  7. Jia, X.; Shi, Y.S.; Song, Y.C.; Wang, G.Y.; Wang, T.Y.; Li, Y. Development of EST-SSR in foxtail millet (Setaria italica). Genet. Resour. Crop Evol 2007, 54, 233–236. [Google Scholar]
  8. Jia, X.; Zhang, Z.; Liu, Y.; Zhang, C.; Shi, Y.; Song, Y.; Wang, T.; Li, Y. Development and genetic mapping of SSR markers in foxtail millet [Setaria italica (L.) P. Beauv.]. Theor. Appl. Genet 2009, 118, 821–829. [Google Scholar]
  9. Gupta, P.K.; Balyan, H.S.; Sharma, P.C.; Ramesh, B. Microsatellites in plants: A new class of molecular marker. Curr. Sci 1996, 70, 45–54. [Google Scholar]
  10. Jarne, P.; Lagoda, P.J.L. Microsatellites, form molecules to populations and back. Trends Ecol. Evol 1996, 11, 424–429. [Google Scholar]
  11. Knapik, E.W.; Goodman, A.; Ekker, M.; Chevrette, M.; Delgado, J.; Neuhauss, S.; Shimoda, N.; Driever, W.; Fishman, M.C.; Jacob, H.J. A microsatellite genetic linkage map for zebrafish (Danio rerio). Nat. Genet 1998, 18, 338–343. [Google Scholar]
  12. Cipriani, G.; Lot, G.; Huang, W.G.; Marrazzo, M.T.; Peterlunger, E.; Testolin, R. AC/GT and AG/CT microsatellite repeats in peach [Prunus persica (L) Batsch]: Isolation, characterization and cross-species amplification in Prunus. Theor. Appl. Genet 1999, 99, 65–72. [Google Scholar]
  13. Metais, I.; Hamon, B.; Jalouzot, R.; Peltier, D. Structure and level of genetic diversity in various bean types evidenced with microsatellite markers isolated from a genomic enriched library. Theor. Appl. Genet 2002, 104, 1346–1352. [Google Scholar]
  14. Zane, L.; Bargelloni, L.; Patarnello, T. Strategies for microsatellite isolation: A review. Mol. Ecol 2002, 11, 1–16. [Google Scholar]
  15. Graham, J.; Mcnicol, R.J.; Mcnicol, J.W. A comparison of methods for the estimation of genetic diversity in strawberry cultivars. Theor. Appl. Genet 1996, 93, 402–406. [Google Scholar]
  16. Ellegren, H. Microsatellites: Simple sequences with complex evolution. Nat. Rev. Genet 2004, 5, 435–445. [Google Scholar]
  17. Hakki, E.; Christo, P.; Luchezar, K.; Mahinur, A. Isolation of wheat microsatellite DNA fragments by hybridization selection. Bulg. J. Plant Physol 2002, 28, 3–10. [Google Scholar]
  18. Roder, M.S.; Plaschke, J.; Konig, S.U.; Borner, A.; Sorreils, M.E. Abundance, variability and chromosomal location of microsatellites in wheat. Mol. Gen. Genet 1995, 246, 327–333. [Google Scholar]
  19. Kantety, R.V.; La Rota, M.; Matthews, D.E.; Sorrells, M.E. Data mining for simple sequence repeats in expressed sequence tags from barley, maize, rice, sorghum and wheat. Plant Mol. Biol 2002, 48, 501–510. [Google Scholar]
  20. Lunt, D.H.; Hutchinson, W.F.; Carvalho, G.R. An efficient method for PCR-based isolation of microsatellite arrays (PIMA). Mol. Ecol 1999, 8, 891–894. [Google Scholar]
  21. NCBI. Available online: http://www.ncbi.nlm.nih.gov/genbank/ accessed on 14 October 2011.
  22. Rozen, S.; Skaletsky, H.J. Primer3 on the WWW for General Users and for Biologist Programmers. In Bioinformatics Methods and Protocols: Methods in Molecular Biology; Krawetz, S., Misener, S., Eds.; Humana Press: Totowa, NJ, USA, 2000; pp. 365–386. [Google Scholar]
  23. Kalinowski, S.T.; Taper, M.L.; Marshall, T.C. Revising How the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol. Ecol 2007, 16, 1099–1106. [Google Scholar]
  24. Rousset, F. Genepop’007: A complete reimplementation of the Genepop software for Windows and Linux. Mol. Ecol. Resour 2008, 8, 103–106. [Google Scholar]
Table 1. Polymorphic simple sequence repeats (SSR) primers for Setaria italica.
Table 1. Polymorphic simple sequence repeats (SSR) primers for Setaria italica.
LocusRepeat SequencePrimer Sequence (5′-3′)Ta (°C)SizeAccession No.OSPH
SITM02(TG)12F TAGTCGCTGGAAAGTTTCGG
R TAGTCGCTGGAAAGTTTCGG
51.8208JN565177No hit
SITM04(TG)13F CGTGTCCTTGTACTCAGCCA
R CAATGGTCTCAGGTGTGGTG
53.8240JN565179No hit
SITM05(GT)10F AGCTTACCCCTCACATTTAT
R ATGAGAAGGTGCCAAAATGC
47.7204JN565180No hit
SITM06(CA)10F GCTCTCTCCATCCCACATTC
R TTCTCCTTCCCTTCCTTTCC
53.8146JN565181No hit
SITM07(AC)7.(CA)8F GCCCAAAAACTCATTCTCCA
R ATAACCCTCACCACTACAAG
49.755JN565182No hit
SITM09(AC)15F CCCCTATGTTCCTTGGACCT
R GGAAAGCCAGTGTGAGTGCA
53.8207JN565184No hit
SITM10(TCA)5F GGCTGGAGTGAGTCTTCGTC
R GCTGAGGAAAATGGTGAGGA
55.9178JN565185No hit
SITM11(ATC)6F CTCGCCCATCTCTTCTTCAG
R CAAGCACAGGGAAGAGGAGT
53.8113JN565186No hit
SITM14(CAT)15F TCTGAGGAGGAGGATGTGCT
R CATCTGAAGCAAACCTGAAT
53.8196JN565189No hit
SITM15(ATC)8F TGGAACCGAAGCTGCCTACC
R AAGTCCAAGAAGTCGCCAGA
55.9223JN565190Sorghum bicolor hypothetical protein
SITM17(AG)10F GCATACGGCTACTGGACATA
R ATCTTCTTTTGTTAGCGAGC
51.8109JN565192No hit
SITM18(CAT)8F GCTCGCTAACAAAAGAAGAT
R AGGTTGAAATGAAGAAGAGG
47.772JN565193No hit
SITM19(TCA)8F CTTCCGCCATCAACCATTCG
R GACGAAGATGATGACGACGA
53.863JN565194No hit
SITM20(TGA)6F TGATGATGCCAATGAACCAG
R GCTATTTCCTACGCCCTTCC
49.7246JN565195No hit
SITM22(ATG)7F TCCAAGTAGTGAAAGTGATA
R TTCCTCCTCGTCCTCTTCAT
45.6188JN565197No hit
SITM23(ATG)5F ATGAAGAGGACGAGGAGGAA
R CGTTCCAGTAATATGTGCCC
51.8110JN565198No hit
SITM24(ATG)7F AGGTCTGCTTGGGATGAAAT
R AACATTACCCCCTGAAGAAC
47.7110JN565199No hit
SITM25(ATC)6F CTCGCCCATCTCTTCTTCAG
R CAAGCACAGGGAAGAGGAGT
53.8113JN565200No hit
SITM26(TGA)15F TGAAGCAAACCTGAATCGTG
R TCTGAGGAGGAGGATGTGCT
49.7186JN565201No hit
SITM27(CAT)20F TTTACAGCCAAGGAAGACGT
R GCTCCTCGATGGTATGCTCT
49.7221JN565202No hit
SITM28(TGA)5F TAAGATGAGCGTTGGGGAGA
R ACGAACCGCACCAAATCTAC
51.8101JN565203No hit
SITM30(ATG)7.(ATG)6F TGTCGGAGATGATGAGGTGA
R GACGAACCGCATCAAATCTAA
51.8220JN565205No hit
SITM32(GAT)6F CAGGATGACCAGGGAGATGC
R ACAGCTTTCCGCCTCAACCT
55.9157JN565207No hit
SITM33(ATC)9F TTTGGACGACAGACGATTCA
R AAGTCCAAGAAGTCGCCAGA
49.7160JN565208No hit
SITM34(CAT)5F AAGGGGTGGATGAGGTAGGT
R TCGAATTGAAGAAGAGCCTG
53.8147JN565209Sorghum bicolor hypothetical protein
SITM37(GAT)7F CATCGTTGTAAGAAGTGGAA
R CTTTTTGGCTGCTGGGTTT
47.7166JN565212No hit
SITM38(TCA)9F ACGGAAGAGGCAGTCACAAT
R ATTGGTGATGGATTCGTCAT
51.8206JN565213No hit
SITM40(ATC)9F GTTGCTGCTGATGCTTGGT
R AATGCGAATCTCTTGGTGCT
51.1219JN565215No hit
SITM41(ATC)5F GGTTTCCTTCCCCTTGTGTT
R CGGTCCCTATTGTTGATGAT
51.887JN565216No hit
SITM42(ATG)8F TGTTCATGCGGATTTTCTTG
R GGGACTCGGCAAAATAATCA
47.7169JN565217No hit
SITM44(TTA)5F TCGGTTAATGCCTTTTGCTC
R TTATGGACGGAAATGGTGTG
49.770JN565219No hit
SITM46(TGA)6F TGCCGAAAGGATCAAAAAGA
R TCACCACTGCCATCATCACT
47.7215JN565221No hit
SITM49(TG)10.(GT)18F AGGTATCGTGCGTGTGTCTG
R AATGATGAATAATGGTGCTG
53.882JN565224No hit
SITM51(AC)13F CAATGGTCTCAGGTGTGGTG
R TACCATTCATCAAAAGTGCC
53.8164JN565226No hit
SITM53(GT)9.(GT)10F GTCACTTGTTGTTGTTGCGA
R GAACACGGAGAAGCGAAAAG
49.7158JN565228No hit
SITM55(AC)14F GTCGTAGCTTTCGGTCCAAC
R CTGGGAATAGAAGAACATGC
53.8196JN565230No hit
SITM57(AC)13F GGGTAGTGGTCTGGTGGTCA
R GTATCACTTCAGGCGGCATT
55.9196JN565232No hit
SITM59(TG)22F AGGAAGGGGAAACACTGACC
R GCGTTGTTGTTCATCGTGTT
53.8158JN565234Glycine max isolate RG10 lipoxygenase 2 (Lx2)
SITM62(AC)15.(AC)6F CGAACCGCTCACAAACACTA
R TAGTTGGAGAAGTTGAGTGC
51.8149JN565237No hit
SITM65(GT)13F GCCACCCCTTGATTGTTATG
R GCTCAACATCTGGCATTTCA
51.8228JN565240No hit
SITM68(GT)26F GGCATTGGACGAGTTACGGC
R GTCATAGCTCACGGCACAAC
55.9108JN565243No hit
SITM73(CT)21F CCTGAACTGGTTGGAGTTGG
R ATCAGGACCAAGGGCAAAAT
53.8243JN565248No hit
SITM84(CT)3.(AT)3.(GA)4. (GA)7.(GGC)3F TCGGTCCTTCACCTTCTTTG
R CGCCATCACCTTCTCCTCGC
51.8110JN565259EF117799No hit
SITM86(AT)3.(CG)3.(CG)3. (CGC)7.(CG)3F CTTGCTTAGATCTGGACTAA
R GCGAGGCTGGAGATAGTCAG
47.7202JN565261EF117797No hit
SITM91(GGC)4F GTTCGCAGCAGCACTCATTA
R TTGCATGTGCAGGTATAGGC
51.8161JN565266No hit
F: forward primer; R: reverse primer; Ta: annealing temperature; Size: expected size of PCR products (bp); OS: original sequences retrieved from Genbank; PH: putative homology.
Table 2. Results of diversity estimation in 223 samples of Setaria italica in Taiwan.
Table 2. Results of diversity estimation in 223 samples of Setaria italica in Taiwan.
LocusNaHoHeHWLocusNaHoHeHW
SITM0250.7010.75**SITM3330.760.625ND
SITM0470.8830.647***SITM3470.7810.653ND
SITM0560.8860.64***SITM37100ND
SITM0630.7860.533***SITM3820.8280.371ND
SITM0740.7260.607***SITM4020.7530.653ND
SITM0950.7570.629***SITM41100ND
SITM1030.7440.736***SITM4240.7730.52***
SITM1130.7190.75***SITM4470.7740.61***
SITM1460.7830.639***SITM4630.7230.57***
SITM1540.7880.62***SITM4980.8010.687***
SITM1730.7920.75***SITM5170.8750.653***
SITM1820.7040.813**SITM5340.6730.625ND
SITM1930.7830.764NDSITM5560.7070.653***
SITM2020.8730.653***SITM5760.6830.575***
SITM2220.760.667**SITM5930.740.75***
SITM2320.7260.625NDSITM6230.7430.652***
SITM2430.7820.778***SITM6530.7470.588***
SITM2530.7020.694NDSITM6820.7570.487***
SITM26100***SITM7340.7310.563***
SITM2720.8380.569NDSITM8440.8170.736***
SITM2870.750.468**SITM8620.690.478***
SITM3020.7940.468**SITM9140.7220.625ND
SITM3240.7830.542ND
**p < 0.05;
***p < 0.01; ND: non-significant deviation.
Table 3. Cross-amplification in six related Poaceae species.
Table 3. Cross-amplification in six related Poaceae species.
LocusABCEFGLocusABCEFG
SITM02SITM33
SITM04++++++SITM34
SITM05++++++SITM37
SITM06++++++SITM38++++++
SITM07++++++SITM40
SITM09++++++SITM41++++++
SITM10++++++SITM42
SITM11++++++SITM44
SITM14SITM46
SITM15SITM49++++++
SITM17++++++SITM51
SITM18++++++SITM53
SITM19++++++SITM55
SITM20++++++SITM57
SITM22++++++SITM59
SITM23++++++SITM62++++++
SITM24++++++SITM65++++++
SITM25++++++SITM68
SITM26++++++SITM73
SITM27++++++SITM84
SITM28SITM86++++++
SITM30SITM91++++++
SITM32
+: successful amplification with expected allele size; −: absence of amplification; A: Hygroryza aristata (Retz.) Nees; B: Setaria plicata (Lamk.) T cooke; C: Microstegium vimineum (Trin.) A camus; E: Oplimenus compositus (L.) P. Beauv; F: Cynodon dactylon (L.)Pers.; G: Setaria verticillata (L.) P. Beauv.
Table 4. Information on voucher specimens for Setaria italica and the other related Poaceae species. GPS coordinates are provided. All samples in this research were collected by H.-S. Lin and deposited in the Institute of Biodiversity, Department of Life Science, National Cheng Kung University, Taiwan.
Table 4. Information on voucher specimens for Setaria italica and the other related Poaceae species. GPS coordinates are provided. All samples in this research were collected by H.-S. Lin and deposited in the Institute of Biodiversity, Department of Life Science, National Cheng Kung University, Taiwan.
PopTaxonCollection SitesGPS Coordinates (N,E)Collection Number
P1Setaria italica (L.) P. BeauvJianshi Township, Hsinchu County, Taiwan24.675722°,121.208725°NCKU.S.I.P1001~NCKU.S.I.P10020
P2Setaria italica (L.) P. BeauvWufeng township, Hsinchu county, Taiwan24.567733°,121.142120°NCKU.S.I.P2001~NCKU.S.I.P20022
P3Setaria italica (L.) P. BeauvRen’ai Township, Nantou County, Taiwan24.012599°, 121.124954°NCKU.S.I.P3001~NCKU.S.I.P30018
P4Setaria italica (L.) P. BeauvYuchi Township, Nantou County, Taiwan23.891880°, 120.917244°NCKU.S.I.P4001~NCKU.S.I.P40025
P5Setaria italica (L.) P. BeauvXinyi Township, Nantou County, Taiwan23.621878°, 120.882912°NCKU.S.I.P5001~NCKU.S.I.P50017
P6Setaria italica (L.) P. BeauvYanping Township, Taitung County, Taiwan2.894283°, 121.062212°NCKU.S.I.P6001~NCKU.S.I.P60016
P7Setaria italica (L.) P. BeauvDaren Township, Taitung County, Taiwan22.269876°, 120.852871°NCKU.S.I.P7001~NCKU.S.I.P70020
P8Setaria italica (L.) P. BeauvShizi Township, Pingtung County, Taiwan22.350076°, 120.745239°NCKU.S.I.P8001~NCKU.S.I.P80021
P9Setaria italica (L.) P. BeauvLaiyi Township, Pingtung County, Taiwan22.527106°,120.682325°NCKU.S.I.P9001~NCKU.S.I.P90017
P10Setaria italica (L.) P. BeauvManzHou Township, Pingtung County, Taiwan22.109498°, 120.873299°NCKU.S.I.P10001~NCKU.S.I.P100016
P11Setaria italica (L.) P. BeauvLanyu Township, Taitung County, Taiwan22.057005°, 121.562519°NCKU.S.I.P11001~NCKU.S.I.P110023
P12Setaria italica (L.) P. BeauvLanyu Township, Taitung County, Taiwan22.055812°, 121.515269°NCKU.S.I.P12001~NCKU.S.I.P120018
Hygroryza aristata (Retz.) NeesLiuying Dist., Tainan City, Taiwan23.265053°,120.332919°NCKU.H.A.001~NCKU.H.A.003
Setaria plicata (Lamk.) T cookeRen’ai Township, Nantou County, Taiwan22.272418°,120.843773°NCKU.S.P.001~NCKU.S.P.003
Microstegium Vimineum (Trin.) A camusAlishan Township, Chiayi County, Taiwan23.469417°,120.702517°NCKU.M.V.001~NCKU.M.V.003
Oplimenus compositus (L.) P. BeauvAlishan Township, Chiayi County, Taiwan23.470952°,120.702742°NCKU.O.C.001~NCKU.O.C.003
Cynodon dactylon (L.) Pers.East Dist., Tainan City, Taiwan23.000550°,120.219870°NCKU.C.D.001~NCKU.C.D.003
Setaria verticillata (L.) P. Beauv.Annan Dist., Tainan City, Taiwan23.058302°,120.134146°NCKU.S.V.001~NCKU.S.V.003

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MDPI and ACS Style

Lin, H.-S.; Chiang, C.-Y.; Chang, S.-B.; Kuoh, C.-S. Development of Simple Sequence Repeats (SSR) Markers in Setaria italica (Poaceae) and Cross-Amplification in Related Species. Int. J. Mol. Sci. 2011, 12, 7835-7845. https://doi.org/10.3390/ijms12117835

AMA Style

Lin H-S, Chiang C-Y, Chang S-B, Kuoh C-S. Development of Simple Sequence Repeats (SSR) Markers in Setaria italica (Poaceae) and Cross-Amplification in Related Species. International Journal of Molecular Sciences. 2011; 12(11):7835-7845. https://doi.org/10.3390/ijms12117835

Chicago/Turabian Style

Lin, Heng-Sheng, Chih-Yun Chiang, Song-Bin Chang, and Chang-Sheng Kuoh. 2011. "Development of Simple Sequence Repeats (SSR) Markers in Setaria italica (Poaceae) and Cross-Amplification in Related Species" International Journal of Molecular Sciences 12, no. 11: 7835-7845. https://doi.org/10.3390/ijms12117835

APA Style

Lin, H. -S., Chiang, C. -Y., Chang, S. -B., & Kuoh, C. -S. (2011). Development of Simple Sequence Repeats (SSR) Markers in Setaria italica (Poaceae) and Cross-Amplification in Related Species. International Journal of Molecular Sciences, 12(11), 7835-7845. https://doi.org/10.3390/ijms12117835

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