Literature DB >> 25221740

Identification, cross-taxon transferability and application of full-length cDNA SSR markers in Phyllostachys pubescens.

Yuan Lin1, Jiang-Jie Lu1, Miao-Dan Wu1, Ming-Bing Zhou1, Wei Fang1, Yuji Ide2, Ding-Qin Tang3.   

Abstract

Current databases of Phyllostachys pubescens full-length cDNAs (FL-cDNAs) provide a rich source of sequences for the development of potential FL-cDNA simple sequence repeat (SSR) markers. We screened 10,608 P. pubescens cDNAs, discovering 1614 SSRs in 1382 SSR-containing FL-cDNAs. The SSRs were more abundant within transposable elements (TEs) than expressed sequence tags (ESTs) and genome survey sequences (GSSs), and specific dinucleotide repeats tended to associate with particular TE families: (TA)n with En/Spm and (CT)n with Mutator. A selected panel of 100 FL-cDNAs containing type I SSRs yielded 68 functional SSR markers with an average polymorphism information content (PIC) value of 0.12, among which 22 loci contained polymorphisms. These markers became less transferrable (83.1% → 69.9% → 49.3%) but more polymorphic (79.4% → 92.3% → 92.8%) with increasing phylogenetic distance (intra-genus → intra-subtribe → intra-family). Transferability and polymorphism also depended on the location of the marker, with those located in the coding region being more transferrable (69.1%) and less polymorphic (89.4%) than those in the 5'-UTR (63.4% transferable, 90.7% polymorphic) and the 3'-UTR (61.8% transferable, 91.4% polymorphic). As proof of principle, we were able to use our FL-cDNA SSR markers to identify the parental stocks in interspecific hybrids of bamboo within and beyond P. pubescens, and estimate the outcrossing rate for P. pubescens. Our research should facilitate molecular breeding in bamboo species where original genetic markers are scarce.

Entities:  

Keywords:  Cross-taxon transferability /polymorphism; Hybrid identification; Microsatellite (SSR); Outcrossing-rate estimation; Phyllostachys pubescens (edulis)

Year:  2014        PMID: 25221740      PMCID: PMC4161718          DOI: 10.1186/2193-1801-3-486

Source DB:  PubMed          Journal:  Springerplus        ISSN: 2193-1801


Background

Bambusoideae is a subfamily of the grass family Poaceae and is further divided into nine subtribes comprising more than 80 bamboo genera and about 1400 species worldwide. Fifty genera and more than 500 species are found in China, among which Phyllostachys pubescens (synonym: P. edulis) is commercially the most important species providing the third largest source of timber and the most predominant source of bamboo shoots. P. pubescens plantations cover an area of 3 million ha (approximately 2% of the total forest area), which has doubled over the last 30 years and taken on a more important ecological role (Fu 2001). Compounds extracted from P. pubescens have recently shown potential for the treatment of obesity and other diseases (Higa et al. 2012). However, various problems associated with P. pubescens plantations including its simultaneous flowering intervals of more than 60 years and recovers from a limited number of clones (Janzen 1976; Watanabe et al. 1982). Additionally, the little knowledge of its basic biology, genetics and breeding system bring about the practical difficulties associated with the identification and characterization of superior genotypes. Molecular markers developing from microsatellites, also known as simple sequence repeats (SSRs) with characterization of high genome coverage, random dispersion, co-dominant inheritance, reproducibility and amenability to automation in high throughout genotyping, have gained considerable spotlight recently. By now, microsatellite markers have been developed for several other bamboo species, e.g. six loci for Bambusa arundinacea (Nayak and Rout 2005), eight loci for Sasa senanensis (Miyazaki et al. 2009) and eight loci for S. cernua (Kitamura and Kawahara 2009). We identified 19 GenBank microsatellite markers in P. pubescens and related species (Tang et al. 2010), and 15 expressed sequence tag (EST) SSR markers for Bambusa species (Dong et al. 2011). Recently, the Bamboo Full-Length cDNA Project (Peng et al. 2010) has generated a vast amount of publicly-available P. pubescens cDNA sequence data that can be used for gene discovery, comparative genomics/transcriptomics and marker development. Microsatellites derived from cDNAs or ESTs are highly transferable to closely related species (Zhang et al. 2005) facilitating the development of gene-based maps that may increase the efficiency of marker-assisted selection through the use of candidate genes (Rossi et al. 2003; Lu et al. 2006). Here, we report the use of P. pubescens full-length cDNA (FL-cDNA) sequences to 1) analyze the association between SSRs and transposable elements (TEs) in the transcriptome; 2) develop and validate FL-cDNA SSR markers and determine their transferability to other bamboo species; and 3) apply the polymorphic SSR markers to estimate outcrossing rates in P. pubescens and identify bamboo interspecies hybrids.

Results and discussion

Association between SSRs and TEs in the P. pubescenstranscriptome

We analyzed 10,608 P. pubescens FL-cDNA sequences available in NCBI GenBank, representing ~7171 kb of DNA. EST-trimmer was used to remove poly(A/T) runs, and the remaining sequence data were screened using MISA, identifying 2330 SSRs in 2014 cDNAs, the remaining cDNAs lacking SSRs. The sequences were clustered with CAP3, reducing the collection to 1614 non-redundant SSRs in 1382 cDNA contigs (Additional file 1: Figure S1). Peng et al. (2010) described the distribution of SSRs in the P. pubescens transcriptome in detail. Therefore, we selectively analyzed the non-redundant cDNA sequences and contigs with RepeatMasker to determine the association between SSRs and TEs because previous reports have shown that many SSRs are located in TEs (Richard et al. 2008), e.g. 50% of SSRs in the human genome (Scherer 2008), and that SSRs are closely associated with TEs in rice (Akagi et al. 2001; Temnykh et al. 2001) and barley (Wei et al. 2002). The results revealed 95 TEs, representing 13.52 kb (0.27%) of the total cDNA sequence data. Further analysis showed that 29 TEs contained a total of 39 SSRs, accounting for 822 bp (6.41%) of the total TE DNA sequences. In comparison, the non-redundant EST sequence data (7089 cDNAs refined from the original 10,608 sequences) contained 1614 SSRs, accounting for 2.60% of the total cDNA sequences in length. Therefore, SSRs were approximately 2.5-, 65.4-fold more abundant in TEs compared to cDNAs (Table 1) and whole genome (0.098% based on the analysis of genome survey sequences (GSSs; Tang et al. 2010)). It is possible that SSRs within TEs are also involved in the regulation of gene expression (Tomilin 2008).
Table 1

Association between FL-cDNA SSRs and transposable elements (TEs) in

TE familyNo.Length (bp)No. of TE-SSRNo. of SSR-TETE-SSR/SSR-TE (%) (in length )No. of SSRs with repeat units of:
1 nt2 nt3 nt4 nt5 nt6 nt
Total TEs 951352236296.081314010
   En/Spm 88156533.87051010
Mutator 282931131214.191102000
  Ty1-copia 204010110.3001000
  Ty3-gyspy 172913000000000
  Other TEs22285316118.700160000
EST 708949422811614N.A.2.60271489789301421
Association between FL-cDNA SSRs and transposable elements (TEs) in Some studies have also suggested associations between specific SSR motifs and particular TE families, e.g. (TA)n is often found in the 5′-UTR of Micron element transposase genes in rice (Akagi et al. 2001; Temnykh et al. 2001). We also investigated the distribution of SSRs among DNA transposons, and found they were most likely to occur in En/Spm elements (33.87% of the total En/Spm DNA sequence). Six SSRs were found in five En/Spm elements, with one element containing two SSRs (Table 2). Mutator elements were the next most likely to contain SSRs (14.19% of the total Mutator DNA sequence). Thirteen SSRs were found in 12 Mutator elements, again with one element containing two SSRs (Table 2). The situation was very different among retrotransposons, with only 0.30% of the total Ty1-copia DNA sequence and 0% of Ty3-gypsy DNA sequence made up of SSRs. More detailed investigation of specific repeat motifs showed that four of the six SSRs found in En/Spm elements were TA/AT repeats, and 10 of the 13 SSRs found in Mutator elements were CT/AG repeats. All 13 of the Mutator SSRs and six of the En/Spm SSRs were located in the 5′-UTR. It has been reported that TE molecular markers (mPing) showed significantly higher levels of polymorphism than all other molecular markers in closely-related rice cultivars (Monden et al. 2009). Considering that it is difficult to detect genetic variation in P. pubescens using ordinary markers (Lin et al. 2009; Tang et al. 2010), SSRs in TEs therefore appear to be promising markers for bamboo species.
Table 2

Distribution of SSRs in and transposons

IDSSR motifsLength (bp)StartingEndingLocation
SSR distribution in En/Spm transposons
FP091991(GAGGA)6 30109138CDS
FP091422(TA)22(CA)9 6212735′UTR
FP097776(TA)23 461465′UTR
FP100462(TA)31 6214755′UTR
FP100841(CGG)6 1838555′UTR
FP100858(AT)29 5822795′UTR
SSR distribution in Mutator transposons
FP100733(TC)8-(GGC)5 89201085′UTR
FP100664(AG)17 3432655′UTR
FP094905(CT)17 341345′UTR
FP099988(CT)19 381385′UTR
FP094782(CT)12 247305′UTR
FP099842(CT)15 304335′UTR
FP091749(CT)23 462475′UTR
FP093400(GA)16 3223545′UTR
FP096707(GAA)8 2436595′UTR
FP096801(TC)8 162175′UTR
FP099127(AG)18 3640755′UTR
FP099725(C)13 131135′UTR
Distribution of SSRs in and transposons

Development and polymorphism assessment of FL-cDNA SSR markers for P. pubescens

Original collection of 10,680 P. pubescens FL-cDNA sequences produced 1382 cDNA contigs containing SSRs. Sequences containing mononucleotide repeat motifs were excluded, leaving 1051 cDNA sequences containing SSRs with 2–6 nt repeats motifs (Additional file 1: Figure S1). Following the procedure already adopted for rice (Temnykh et al. 2001). We were able to design primer pairs for 583 (55%) of these cDNAs, the remainder offering either insufficient flanking DNA (over half of the SSRs were found in the 5′ or 3′ UTRs) or flanking DNA that was unsuitable for primer design. Only 325 (24.1%) of the SSRs were type I repeats (>20 bp), which offer greater potential for marker development. The 100 most promising sequences were selected for PCR validation, including dinucleotide repeats with ≥12 repeat units, trinucleotide repeats with ≥8 repeat units, tetranucleotide repeats with ≥6 repeat units, pentanucleotide and hexanucleotide repeats with ≥5 repeat units and some compound SSRs with >24 repeats (Table 3). We found that 32 of the selected cDNAs were unsuitable because the PCR failed to generate a product (four cDNAs) or generated products lacking SSRs (28 cDNAs), but the remaining 68 sequences allowed the development of FL-cDNA SSR markers (Table 3). These contained 18 compound SSRs, 19 dinucleotide repeats, 18 trinucleotide repeats, four tetranucleotide repeats, three pentanucleotide repeats and six hexanucleotide repeats. Interestingly, although 45 of the cDNAs (66.2%) generated the anticipated PCR product, 16 (23.5%) generated products with more repeats than expected, five (7.4%) generated products with fewer repeats than expected, and two (PBM050 and PBM055) generated products with different repeats and flanking sequences than those anticipated. The unanticipated amplification resulted in three SSR markers (PBM036, PBM055 and PBM 077) containing type II repeats (12–19 bp in length) and one marker (PBM079) shorter than 12 bp. In total, 67 sequences were deposited in GenBank (accession nos GU644371–GU644438). Based on BLASTX analysis, putative functions were assigned to most (66.2%) of the cDNA sequences with significant similarity to known proteins, whereas 27.9% matched unknown/hypothetical proteins and 5.9% were novel sequences (Table 3).
Table 3

Characteristics of the SSR markers derived from FL-cDNAs

No.MarkerAccession no.Primer sequence (5′→ 3′)MotifTm (°C)PCR fragment (bp) PICPutative function
NamecDNASSR
1 PBM031FP094740GU644371CGCCGAGTTCCCTATTATTATTT(AG)6-(AG)7 561910MYB-like transcription factor
AGCACAGCCTCCGTGATTG
2 PBM032FP098085GU644372TTTCCCAAATAAAACCTCACC(CCG)7-(CCT)6 561430PHD finger protein
GTCCATTTAGGGTTCCACTGA
3 PBM033FP099510GU644373CTGACTGTGCGTGCGTCTC(CG)8(AG)14 561550Small GTP-binding protein
CTTGGTCTCGCTCATCTCCTC
4 PBM034FP098748GU644374TCGGCTCGGCGTGATGGAT(GAG)5(GCG)5 621690GTP binding protein
ATCGGCATCCGCGACTGCC
5 PBM035FP100911GU644375ACCGTGATGACTACCGCCGCGACC(GTG)7-(GTG)7 621650.368U2 snRNP auxiliary factor
TGCTGCCTCCACCCCTCCGTCC
6 PBM036FP096684GU644376CACATGGACCGCCTCATCC(TA)8 471690.259Polypeptide-associated complex alpha subunit-like protein
GCAACAAAACGAGAACCAGAC
7 PBM037FP101192GU644377TGCAAGCCTGCTATACGTTT(TA)7-(TA)6 471300Thaumatin family protein
GAAGTGGGAGTACATACTTCCCA
8 PBM038FP101125GU644378GGTCGGCTCATTTTGTAGTGT(TC)9(TA)22 482100.365GCIP-interacting family protein-like
CAACCTTCAGGCAATAGATTACAT
9 PBM039FP091409GU644379CATCCTCAGTTTCTCACCG(TC)12-(CTT)6 531710.355Unknown protein
CAGCTTCACCAACTTGTGG
10 PBM040FP096343GU644380GAATCATCTGGGAAGAAGAAGGA(TC)7-(TC)7 511780Bicolor hypothetical protein
TGCATTGCATTTGGCTTAGTAGT
11 PBM041FP095242GU644381TGGTGTTGCCTGTGACCTTAC(TG)8(AG)10 531670typeA response regulator 1
CCCACCTCCACCTCTACTACG
12 PBM042FP093940GU644382TCCTTTACGGCTTTACCCC(GA)7-(AG)6 531560.365SAM and SH3 domain-containing protein 1
GCCCCAGCTTAGTACACCAC
13 PBM043FP099127GU644383CTCACCGCCCCACCTCGCA(AG)13 601280IAA15 - auxin-responsive Aux/IAA family member
CGGCTGCTGATGCGGAGGA
14 PBM044FP095585GU644384AAGGCCCACGTTGCCAGAC(AG)20 551730.371Bicolor hypothetical protein
GTTCCCGTTGATGCCCCAC
15 PBM045FP098751GU644385TGAGCGAGGTAGTTTCATTTTAGTTA(CA)20 531320.322DRE binding factor
CCTACGACGAGTAGATTGCGAGT
16 PBM046FP094276GU644386CTCAGAGCAGACACTGCTTATTCC(CT)5-(CT)6 501020.395Unknown protein
GCGTCTTCATTGCAGCCATCT
17 PBM047FP099829GU644387ACCACGTTGCAGGATTCACT(CT)13 531190Bicolor hypothetical protein
CGATGAGCAGCACAACAGC
18 PBM048FP092637GU644388GCAAAAGAGCGCACTTGAC(CT)27 531630Serine carboxypeptidase 1 precursor
GGAGGACACTAGAGTTGGCATT
19 PBM049FP099913GU644389ACAGCAGATAGTCCCAAAAT(GA)14 501170.305Unknown protein
GACAGCAGGATGAAGAGCA
20 PBM050FP093015GU644390AGTATAGTATGTTCGTTTAAGTGG(CA)11 451370Oxidoreductase
TGTAATGTTTAAGGTTCCGT
21 PBM051FP092618GU644391AGACATTGTCAACTGTAAGTTGGTAGAG(TC)23 501110VQ motif family protein
(FP099842)TTTACAAGCAATACACCCAGAAATAG
22 PBM052FP095787GU644392AGCGGGCAGGCTATGTATT(TCT)11 511400.359ELF4-like protein
TTGCTTCTCCCCTAATGACA
23 PBM053FP094717GU644393CCCCATAATCTGCTCCCTTCT(TTC)10 511020KN1-type homeobox transcription factor
GGTTCTTGGCGTATGGTATGTTC
24 PBM054FP100158GU644394ATCGGGAGGGATGCGGCAGC(GGCGGA)6 621210.305Unknown protein
GCGGACCAAGCGGAACACC
25 PBM055FP100601GU644395CATGGATGTTGTTGAGTTGAGGC(TC)7 531990Nonspecific lipid-transfer protein 2 precursor
GCACAAAGACTAGTACTCGAGGTGG
26 PBM056FP100601GU644396CATGGATGTTGTTGAGTTGAGGC(CTCCAT)6 531770Nonspecific lipid-transfer protein 2 precursor
GCACAAAGACTAGTACTCGAGGTGG
27 PBM057FP097951GU644397CGCCCACCCCTCCTTCGTCT(ACACAG)5 591110Cp protein
TCCTTGGCACGGCCACTCA
28 PBM058FP097794GU644398GGCCGAGATCCTCCTTTCT(GGCGGT)5 591710Unknown protein
CCATCCCCGCCTTCACCAC
29 PBM059FP094127GU644399ATTAGTCACGCACCGAGAAGGAA(AGATG)6 551720Transcription elongation factor-related protein
AGACGCAAGAACTCGACAGGGA
30 PBM060FP101691GU644400CACGCCAGCTCCAGATGCCACCAT(CACCC)5 591190Sucrose transporter
TGCCCTTCCACCTCCTCTGACCTCC
31 PBM061FP095238GU644401CCCTATCCCATCCTCCTCCC(CCTCT)5 551190Smr domain containing protein
GGTTGCTCACTTTCCTGCTCC
32 PBM062FP096136GU644402TGCTGGTTGGGTTCATCACGA(TTCT)7 531560Bicolor hypothetical protein
GAGGGTTACAACAGGGGCAAAGA
33 PBM063FP098746GU644403CAACGCAACGCCATTCCAAACA(TCCA)5 591380U-box domain containing protein
CACCTCCAGGCCCTGGTACTCCA
34 PBM064FP099572GU644404CATTTCTCATTGCCGCTGTAAC(GAGT)5 531390Unknown protein
TCCTTTGCCCTCCTCTTCCT
35 PBM065FP096965GU644405GTCAGTCAGGCGGCACGAG(CG)5-(CGG)9 601830Bicolor hypothetical protein
CGCGTAGGACGAGATCACCTC
36 PBM066FP095562GU644406CTCTTCACCGAAACCGAAAG(CGG)9 571370.477Spliceosomal protein
CGTTGAGGTTCCTGAGGTAGAC
37 PBM067FP098504GU644407GGTGCGGGTGCAGTTTATT(CTT)8 511850RNA-binding protein
AGCATCATCCGCCAGAATA
38 PBM068FP093884GU644408AACCGTGCACTACTTGCTCT(TCT)8 511550pollenless3 mRNA
ACCTTGTGGACGACATGGA
39 PBM069FP099427GU644409CCCTTTCCCTTCAACAACAA(CCG)8 571010.360Alba superfamily protein
TACCGATCCATGGCTCCTT
40 PBM070FP094239GU644410TCGTGCCTTTCGCCTCCTG(TCT)7 551170Bicolor hypothetical protein
CTGTACGGCCCGAACTTGTA
41 PBM071FP093953GU644411AGCGTCACCTCCGCCTTCT(CGA)8 571010Unknown protein
TCCTTGGCCTCGTCTTGGT
42 PBM072FP093285GU644412CCTCCCACTGTCACGGCACC(CTC)9 591160Bicolor hypothetical protein
GGCTGTGGCGACAAGGCTG
43 PBM073FP096973GU644413AGCAGCTCTACGGCAAGAAGAAG(ATC)8 531390Bicolor hypothetical protein
TGCAGCCTTGAGGAATTGAGAA
44 PBM074FP096816GU644414CCCACCGAAGTAATCACGC(CTC)8 551190Transcription factor HBP-1a(c14)
CTCGCACAACAAAAGAAATCA
45 PBM075FP096707GU644415AGTTTCCTTCTTTCCTTCCTTCCGTGGTG(GAA)8 531010.510Unknown protein
CGGCATTTGCGATTTGTGC
46 PBM076FP101632GU644416ATGCCTTCACCACACTTAC(GCA)8 511210AP2/ERF domain protein
CATCGTGATGTCTCCAATC
47 PBM077FP096443GU644417CCGCTTCCTCCCACCAAAT(CCG)5 591810Bicolor hypothetical protein
CGCAGTACAGCAGCTCCCC
48 PBM078FP095554GU644418CCCAAATCCAACCAGAACCA(CGG)11 591870Anti-silencing protein
GGAGGAGGCATTCGTAGGAGA
49 PBM079FP097911GU644419AAGGATGGTAACGTACATACA(AT)5 441590Unknown protein
(FP092888)CATGACAAATTTAAAGGTATCA
50 PBM080FP093425GU644420CGAGGTTCTTGGGCTCAGTT(AG)13 531160.375ATP binding protein
ACACGCCTCCAATAAAACAAAC
51 PBM081FP097485GU644421TCTACTCCGTAGCCGCCTTC(CT)16 561350Pyridoxamine 5-phosphate oxidase
AGAGCCTCCATTGGATGGG
52 PBM082FP099753GU644422AATTTGTTGCCCTGCCTAGCT(TC)5-(TC)16 531480Homeodomain leucine-zipper protein Hox8
GCAAGATGAGAAGAATTAAAGCTGC
53 PBM083FP101428GU644423CCATTTGGCATTTGCTCCC(GA)15 591860GTPase SAR1 (Sar1.1)
GCACCCCGTAGAACCAGTCC
54 PBM084FP092513GU644424CTTCTCATGGGGTCAGCTACTC(TC)17(AC)16 532010.369Brown planthopper-induced resistance protein 1 (Bi1)
ATCACTTCTGCGATCTTGGTC
55 PBM085FP091409GU644425GGGGAGCCATCCTCAGTTT(TC)12-(CTT)6 551830.346Putative precursor micro RNA R167h gene
GCTGGCAGCTTCACCAACT
56 PBM086FP096167GU644426GTGGAAAATAAAGAAGCGC(TC)9-(TC)9 511390Unknown protein
TTCCTGCTTTTGATCTTGC
57 PBM087FP093957GU644427ACCCCAAGCATCCCCAAAA(CCT)5-(CGC)9 591660.373Bicolor hypothetical protein
CCGCAGGGAAGTCGAAGGTC
58 PBM088FP091571GU644428GTGTATTGGCTTTCCAGCTTTTCC(AG)11 552110Knotted class 1 homeodomain protein
TCTCCGCACGCTACTGTCCC
59 PBM089FP097920GU644429TCCCTTATCCACCAAACACGC(CT)17 561720.369Bicolor hypothetical protein
GCTGGCAACGACGCACCTC
60 PBM090FP097267GU644430AGAGTCGGATAAGGGTAGCG(AG)12 531060.195Repair protein RAD23
CGATCTCGAAGTTCGTGCC
61 PBM091FP100553GU644431ATAGAGGCATACAGCCGCAGAC(AG)14 561260.369Macrophage migration inhibitory factor
TAGGCACGGCATCACGGAC
62 PBM092FP099642GU644432GAACGCCGCATCCAGCCTCT(TC)13 531550Basic/leucine zipper protein
GGTCGGGTCCTTGGACAAAC
63 PBM093FP100738GU644433TCGCAGTAAACAGTCTCATCACATC(CCT)8 591500Disulfide isomerase (PDIL2-2)
TCAGGGCCACCACCTCGTCT
64 PBM094FP095169GU644434GATTGAGGAGCCCCAAACC(CCG)8 572570DUF2372 superfamily protein
CACAACAACCGCAAGAGCC
65 PBM095FP098630GU644435TTATTAGTCGAGTTTGGGTCTCC(CCT)8 551150.430Unknown protein
GGTGAACGGCATGGCTGCT
66 PBM096FP100124GU644436CACTCGGCTCGTCCTCGTCT(CCTC)6 601290PLAC8 superfamily protein
AGGGTGGCTAAGGCTCGTCTC
67 PBM097FP099849GU644437CTGCCACTCCATCCCTGCC(CACGCG)5 591010Unknown protein
CTCGATGGCGACGGCTGTT
68 PBM098FP097471GU644438CCCCGTCTTCTCGTCGTCT(TCGCCG)5 561690BAH_BAHCC1 superfamily protein
GACTTTGTCGGAGCCCTTGA
Characteristics of the SSR markers derived from FL-cDNAs One hundred and seven primer pairs finally yielded 68 FL-cDNA SSR markers for P. pubescens, which is towards the lower end of the 60–90% success rate previously reported in sugarcane (Cordeiro et al. 2001), barley (Thiel et al. 2003), wheat (Yu et al. 2004) and peanut (Liang et al. 2009). Squirrell et al. (2003) defined the successive loss of sequenced fragments and designed primers, until arriving at a final collection of “working SSRs” producing discrete bands of the expected size, as the “attrition rate”. Kofler et al. (2008) reported a high attrition rate when developing SSR markers from enriched libraries, BAC-end sequences and ESTs in rye, possibly reflecting the large number of TEs in the rye genome. Tero et al. (2006) found that the number of SSR markers was reduced when the markers were predominantly located within TEs. Squirrell et al. (2003) suggested that SSR marker development would be challenging in polypoid species and species such as wheat and rye with large numbers of TEs. P. pubescens has 2n = 48 chromosomes and is thought to be tetraploid (Li et al. 1999). The genome is >2000 Mb, which is approximately 5.4 times larger than diploid cultivated rice (Gui et al. 2007), and it contains a large number of TEs (Zhong et al. 2010; Zhou et al. 2010a, [b], [c]). The slightly higher attrition rate we encountered therefore seems reasonable when considering the chromosomal polyploidy, size and TE content of the genome. We also encountered a higher attrition rate in B. oldhamii (Li et al. 2001), a hexaploid bamboo species with a large genome (data unpublished) in which we developed 15 EST-SSR markers from 52 promising sequences selected from 3406 non-redundant ESTs (Dong et al. 2011). We surveyed the allelic variability of the markers by genotyping 50 open-pollinated seedlings germinated from the year 2010 seedlot (Table 3). Among the 68 FL-cDNA SSR markers, only 22 (32.4%) showed polymorphism. The polymorphism information content (PIC) values of the 68 markers ranged from 0 to 0.51 with a mean value of 0.12. For the 22 polymorphic loci, the PIC values ranged from 0.19 to 0.51 with a mean value of 0.36, and the top ten markers in terms of polymorphism were PBM075, PBM069, PBM095, PBM046, PBM066, PBM080, PBm087, PBM044, PBM084 and PBM091. SSR polymorphism in P. pubescens is much lower than observed in cereals (Thiel et al. 2003; Yu et al. 2004), coffee (Aggarwal et al. 2007) and the rubber tree (Feng et al. 2009). Bamboo P. pubescens has a long flowering interval of more than 60 years (Janzen 1976; Watanabe et al. 1982). Therefore, open pollination (DNA recombination) appears to have limited the amount of replication slippage, which diversifies SSR alleles (Richards and Sutherland 1994; Jakupiak and Wells 1999). Clonal propagation in the interim periods of flowering has reduced the SSR diversity in bamboo (Nayak and Rout 2005). In a previous study, we discovered almost no allelic variation in the panel of 11 varieties and 17 provenances of P. pubescens using 19 GSS-SSRs (Tang et al. 2010).

Interspecific transferability and polymorphism of P. pubescensFL-cDNA SSR markers

Although more than 1000 bamboo species have been described, the vast majority of publically-available sequence data are derived from P. pubescens (Tang 2009). Therefore, the development of a set of transferable P. pubescens FL-cDNA SSR markers suitable for other bamboo species would help to accelerate genetic research and comparative genomics in the Bambusoideae subfamily. Previously, we developed 19 P. pubescens GSS-SSR markers and successfully transferred them to six other Phyllostachys species with an average transferability of 75.3% and 66.7% polymorphism (Tang et al. 2010). In B. arundinacea, 100% and 83.3% transferability were achieved with 6 SSR markers in eight other Bambusa species and 10 species of other genera, respectively (Nayak and Rout 2005). In B. oldhamii, we achieved an average 59.6% transferability and 51.4% polymorphism with 15 markers in 14 bamboo species including four species within the same genus (Dong et al. 2011). We tested the transferability and polymorphism of these 68 putative FL-cDNA SSR markers across 41 diverse species in six tribes of the Bambusoideae subfamily, as defined by Das et al. (2008) and Yang et al. (2008) (Additional file 2: Table S1 and Additional file 3: Table S2). Successful amplification became less likely with increasing phylogenetic distance from P. pubescens, with an 83.1% success rate within the genus Phyllostachys, a 79.4% success rate across genera within the subtribe Shibataeeae, and a 49.3% average success rate for other subtribes, ranging from 36.8–76.5% (Table 4 and Figure 1). In contrast, the number of markers showing polymorphism increased with phylogenetic distance, with 79.4% of markers showing polymorphism within the genus Phyllostachys, 91.3% showing polymorphism within the Shibataeeae, and 92.8% showing polymorphism when comparing other subtribes. Markers in coding sequences were on average the most transferrable (69.1%) and the least polymorphic (89.4%), compared to those located in 5′-UTRs (63.4% transferrable, 90.7% polymorphic) and 3′-UTRs (61.8% transferrable, 91.4% polymorphic). These trends were exacerbated with increasing phylogenetic distance. These matches the results from a metastudy of 601 loci in 35 plant species showing an average 89.8% transferability at the subgenus level, 76.4% at the genus level and 35.2% at the family level (Rossetto 2001). Interestingly, more than 17 (25%) of the markers were transferrable to more than 85% of the tested species (Additional file 3: Table S2). This success rate suggests that FL-cDNA SSRs and their flanking regions are sufficiently conserved (Zhang et al. 2005), and it is therefore possible to transfer P. pubescens FL-cDNA SSR markers to other bamboo species for evolutionary studies and phylogenetic reconstructions (Sharma et al. 2008).
Table 4

Transferability/polymorphism of FL-cDNA-derived SSR markers across species and genera in the Bambusoideae subfamily

Types of EST-SSR (number)Intra-genus (Phyllostachys)Inter-genus within substribe (Shibataeeae)Inter-substribeAverage
MelocanninaeBambusinaeChusqueeaeArundinarieaeGuaduinae
5′-UTR (41)85.8%/81.4%69.2%/91.3%42.7%/93.6%35.5%/94.4%41.5%/88.2%78.1%/91.4%29.3%/90.9%63.4%/90.7%
ORF (18)80.6%/71.3%70.1%/91.0%58.3%/97.7%57.1%/95.7%61.1%/90.9%75.6%/89.1%55.6%/95.8%69.1%/89.4%
3′-UTR (9)75.9%/86.6%72.2%/91.7%41.7%/95.0%46.0%/96.4%22.2%/100.0%70.9%/86.9%33.3%/100.0%61.8%/91.4%
Average83.1%/79.4%69.9%/91.3%46.7%/94.9%42.6%/95.0%44.1%/90.5%76.5%/90.2%36.8%/93.4%
Figure 1

Polyacrylamide gel electrophoresis bands representing microsatellites derived from FL-cDNA sequences, tested on a panel of selected bamboo species to evaluate transferability and polymorphism in locus of PBM042 (above) and PBM064 (nether). M: size marker. Mb, Cp, etc.: Bamboo species abbreviations are listed in Supplementary Table 1.

Transferability/polymorphism of FL-cDNA-derived SSR markers across species and genera in the Bambusoideae subfamily Polyacrylamide gel electrophoresis bands representing microsatellites derived from FL-cDNA sequences, tested on a panel of selected bamboo species to evaluate transferability and polymorphism in locus of PBM042 (above) and PBM064 (nether). M: size marker. Mb, Cp, etc.: Bamboo species abbreviations are listed in Supplementary Table 1.

Using polymorphic FL-cDNA SSR markers to estimate outcrossing rates and identify interspecific bamboo hybrids

Sexual propagation increases genetic diversity by creating progenies of different genotypes through recombination (i.e. outcrossing). This is advantageous for predominantly clonal plants such as most bamboo species, which rely mostly on vegetative regeneration interspersed with occasional flowering (Janzen 1976). The analysis of the reproductive system is therefore fundamental to elucidate primary genetic diversity and the structure of regenerating bamboo populations, and to adopt strategies for genetic improvement. Previous studies on the bamboo reproductive system based on field data and artificial pollination showed that self-compatibility is predominant in Sasa species (Nishiwaki and Konno 1990), and the selfing rate could approach 0.99 in Merostachys riedeliana (Guilherme and Ressel 2001). Outcrossing rate was estimated using SSR-based analysis as reported in S. cernua (Kitamura and Kawahara 2011). Among the 22 polymorphic SSR markers described above, the ten most polymorphic (PIC ≥ 0.36) were used to detect polymorphisms in 50 open-pollinated half-sib seeds (year 2011) from three flowering sites in the Guangxi Province separated by at least 100 km. Polymorphism in the PBM044, PBM080 and PBM095 loci was identical in the seeds from all three flowering sites, whereas PBM084 and PBM091 featured additional alleles from Lipu, PBM069, PBM075, PBM087 and PBM091 featured additional alleles from Lingchuan, and PBM069, PBM075 and PBM084 featured additional alleles from Guanyang (Table 5). This indicated that flowering culms in different sites featured diverse SSR genotypes and produced genetically-diverse half-sib seed sources. Therefore, we used these eight polymorphic loci to estimate the outcrossing rates and other related genetic parameters for P. pubescens (Table 5). The overall estimates of tm and ts for three culms were 0.089 for both parameters, with no standard deviation. The estimates for individual culms showed small differences of 0.067 in Lipu and Lingchuan, and 0.133 in Guanyan, again for both parameters. Estimation of F for the overall population was 0.195, indicating homozygote excess. We found that the outcrossing rate was 0.089, estimated from eight polymorphic multilocus datasets in P. pubescens, which is slight lower than the 0.148 reported in S. cernua using six multilocus SSR datasets (Kitamura and Kawahara 2011). This indicated that the reproductive system of P. pubescens predominantly involves self-fertilization with an adequate proportion of crossing to ensure genetic diversity as reported for S. cernua (Kitamura and Kawahara 2011).
Table 5

Seed number, estimated outcrossing rates and relative parameters for each of three flowering culms at 8 loci

Flowering site (county)N tm ts Fis Genotype
PBM044PBM069PBM075PBM080PBM084PBM087PBM091PBM095
Lipu500.067 (0.0)0.066 (0.0)0.182ppppp
Lingchuan500.067 (0.0)0.067 (0.0)0.173ppppppp
Guanyan500.133 (0.0)0.135 (0.0)0.231pppppp
Average0.089 (0.0)0.089 (0.0)0.195

N the number of analyzed seeds; tm multi-locus outcrossing rate and standard error in parentheses; ts, single-locus outcrossing rate and standard error in parentheses. Fis inbreeding coefficient; p polymorphism.

Seed number, estimated outcrossing rates and relative parameters for each of three flowering culms at 8 loci N the number of analyzed seeds; tm multi-locus outcrossing rate and standard error in parentheses; ts, single-locus outcrossing rate and standard error in parentheses. Fis inbreeding coefficient; p polymorphism. The grow-out test for bamboo interspecific hybrids is time-consuming and laborious because it involves growing plants to maturity (which takes at least 5 years), assessing several anatomical, morphological and floral (long-term interval) characteristics that distinguish the hybrid. The polymorphic SSR markers could also help in the rapid and accurate identification of interspecies hybrids, as reported in poplar (Rajora and Rahman 2003) and wheat-barley (Malysheva et al. 2003). To obtain proof of principle that our novel SSR markers are suitable for hybrid characterization, we next selected several highly-transferable and polymorphic FL-cDNA SSR markers. PBM032, PMB049, PMB063 and PMB064, each with a number of species-restricted alleles, were used to test uncharacterized bamboo samples. Marker PMB063 identified the parental species in one hybrid as P. kwangsiensis and P. bambusoides, because all sequenced bands contained the (TCCA)n motif although with a variable number of repeats (Figure 2). Similarly, marker PMB064 identified the parental species B. pervariabilis and Dendrocalamus latiflorus which are distantly related to P. pubescens, with a variable number of repeats in the (GAGT)n motif (Figure 3). As previously shown using GSS-SSR markers, such high levels of transferability and polymorphism within the Bambusoideae subfamily should allow the use of FL-cDNA SSR markers to identify interspecific hybrids and their parents, both within the genus Phyllostachys (Tang et al. 2010) and in more distant taxa within subtribe of Shibataeeae (Lu et al. 2009). We have also developed several putative EST-SSR markers in B. oldhamii and have used these to identify some other sympodial bamboo interspecies hybrids (Wu et al. 2009; Dong et al. 2011). The SSR markers developed in the present study were used to identify not only interspecific hybrids from monopodial Phyllostachys but also intergeneric hybrids with sympodial rhizomes, which are distantly related to P. pubescens. Our data confirmed that microsatellites, especially SSR markers based on cDNAs and ESTs, are ideal for the identification of bamboo interspecies hybrids.
Figure 2

A, Microsatellite DNA fingerprints of (line 1), (line 3) and a presumed hybrid (line 2) at locus PBM063. B, Alignment of the nucleotide sequences of the microsatellite alleles at locus PBM014 amplified from P. kwangsiensis, P. bambusoides and two presumed hybrids. Nucleotides conserved among these sequences (relative to P. kwangsiensis) are shown by dots. The lines indicate the primer sequences used to amplify this microsatellite locus. The box highlights the microsatellite. The suffix numbers after bamboo species correspond to the DNA bands marked in part (a).

Figure 3

A, Microsatellite DNA fingerprints of , and their presumed hybrids at locus PBM064. B, Alignment of the nucleotide sequences of the microsatellite alleles at locus PBM064 amplified from B. pervariabilis, D. latiflorus and their presumed hybrids. Nucleotides conserved among these sequences (relative to B. pervariabilis) are shown by dots. The lines indicate the primer sequences used to amplify this microsatellite locus. The box highlights the microsatellite. The suffix numbers after the bamboo species correspond to the DNA bands marked in part (A).

A, Microsatellite DNA fingerprints of (line 1), (line 3) and a presumed hybrid (line 2) at locus PBM063. B, Alignment of the nucleotide sequences of the microsatellite alleles at locus PBM014 amplified from P. kwangsiensis, P. bambusoides and two presumed hybrids. Nucleotides conserved among these sequences (relative to P. kwangsiensis) are shown by dots. The lines indicate the primer sequences used to amplify this microsatellite locus. The box highlights the microsatellite. The suffix numbers after bamboo species correspond to the DNA bands marked in part (a). A, Microsatellite DNA fingerprints of , and their presumed hybrids at locus PBM064. B, Alignment of the nucleotide sequences of the microsatellite alleles at locus PBM064 amplified from B. pervariabilis, D. latiflorus and their presumed hybrids. Nucleotides conserved among these sequences (relative to B. pervariabilis) are shown by dots. The lines indicate the primer sequences used to amplify this microsatellite locus. The box highlights the microsatellite. The suffix numbers after the bamboo species correspond to the DNA bands marked in part (A).

Conclusions

Our data provide insight into the association between SSRs and TEs in FL-cDNAs from the P. pubescens transcriptome, allowing us to develop and evaluate 68 FL-cDNA SSR markers that can be used in P. pubescens and partially for many other bamboo species, to estimate the reproductive system of P. pubescens and identify several interspecific hybrids. These FL-cDNA SSR markers enrich the molecular marker resources currently available for bamboo. When a large set of polymorphic markers becomes available, we can use genome-wide association mapping in bamboo, in the absence of structured populations, to identify markers for traits of interest that can be used for marker-assisted selection in the Bambusoideae subfamily.

Methods

Full-length cDNA mining and SSR/TE detection

We obtained 10,608 FL-cDNA sequences from NCBI Entrez (http://www.ncbi.nlm.nih.gov/) on July 1, 2010. These cDNA sequences were assembled from five cDNA libraries constructed from breaking-out shoots, young (40-cm) shoots and young leaves from plants, and shoots and roots from germinated seeds (Peng et al. 2010). We used EST Trimmer (http://pgrc.ipk-gatersleben.de/misa/download/est_trimmer.pl) to remove poly(A/T) runs from the 5′ and 3′ ends until there were no occurrences of (T)5 or (A)5 within a 50-bp range. Redundant sequences were eliminated and overlapping sequences were spliced together using CAP3 (http://seq.cs.iastate.edu/cap3.html) (Huang and Madan 1999). After pre-treatment, we used MISA (http://pgrc.ipk-gatersleben.de/misa/misa.html) to screen for SSRs including mononucleotide repeats ≥10 bp in length, dinucleotide to hexanucleotide repeats with ≥6 repeat units, and interrupted composite SSRs with ≤100 bp of intervening DNA. Putative annotations were assigned to non-redundant ESTs containing SSRs using BLAST against the Moso Bamboo cDNA Database (http://202.127.18.228/mbcd/) and the Gramene Ontologies Database (http://archive.gramene.org/plant_ontology/). TEs were identified using RepeatMasker and RepeatProteinMask (http://www.repeatmasker.org) based on similar elements present in the rice genome, and SSRs within TEs were screened using MISA with the same parameters as above. Additional file 1: Figure S1 provides a flow chart for the data mining and marker development process.

Plant material and DNA extraction

We used P. pubescens samples collected from the Anji Bamboo Germplasm Garden, Anji, Zhejiang Province, to identify and characterize putative FL-cDNA SSR markers. The polymorphism of these SSR markers was evaluated using 50 seedlings germinated from an open-pollinated seedlots (mixed seed sources, mainly from different flowering sites in the counties of Lipu, Lingchuan and Guanyang, Guangxi Province in the year 2010). Another 50 seedlings were germinated from open-pollinated half-sib seeds (year 2011) from three flowering culms in the same three counties (>100 km between sites) and were used to estimate the P. pubescens outcrossing rate. We obtained 41 representative bamboo species from 38 genera within six subtribes mainly found in China to test the transferability and polymorphism of the FL-cDNA SSR markers (Additional file 2: Table S1). We obtained three Phyllostachys interspecific hybrids from Jiangxi Province, China, and two intergeneric hybrids from Yoshinaka Bamboo Germplasm Garden, Fukuoka, Japan, for the hybrid identification tests. Genomic DNA was extracted from young leaves using the hexadecyltrimethylammonium bromide (CTAB) method (Doyle and Doyle 1987), with some modifications.

Amplification and sequencing of SSR loci

Primer pairs designed according to the available cDNA sequences were synthesized by Shanghai Sangon Biological Engineering Technology & Services Co., Ltd. P. pubescens DNA was amplified in 20-μl reactions comprising 50–100 ng of template DNA, 0.2 μM of each primer, 200 μM of each dNTP and 1 unit of Taq DNA polymerase with 1× PCR universal buffer (10 μM Tris–HCl, pH 8.3 at 25°C; 50 μM KCl), and 1.5 μM MgCl2 (Shanghai Sangon Biological Engineering Technology & Services Co., Ltd). The reaction was heated to 95°C for 5 min using an ABI PE9700 thermocycler, followed by 30 cycles of 1 min denaturation at 95°C, 1 min annealing at 46–59°C depending on the primer pair (Table 3), and 2 min extension at 72°C, followed by a final hold at 72°C for 5 min. Amplified microsatellite loci were tested in 41 diverse species in six tribes of the Bambusoideae subfamily (Table 4) and interspecific hybrids (Figures 2 and 3). The annealing temperature was lowered by 2–5°C according to the evolutionary distance between species based on molecular markers (Das et al. 2008) and nuclear and chloroplast sequences (Yang et al. 2008), as suggested by Rossetto (2001). PCR products were separated on 6% polyacrylamide denaturing gels, and marker bands were revealed by silver staining as described by Panaud et al. (1996). Specific bands were excised directly from the silver staining polyacrylamide gel, purified using the EZ-10 Spin Column DNA Gel Extraction Kit (Biobasic Inc.) and ligated into the pUC18 vector (TaKaRa, Japan). Three positive clones for each bamboo species were selected for sequencing using BigDye terminator V3.1 in a cycle sequencing protocol according to the manufacturer’s specifications (PE Applied Biosystems, ABI PRISM 3100-Avant Automatic DNA Sequencer). Vector sequences were removed then edited using Vector NTI software (version 10.0, Invitrogen Co., USA). Sequences were deposited in NCBI GenBank (accession nos GU644371–GU644438).

Data analysis

The polymorphism information content (PIC) (Botstein et al. 1980) of our SSR markers was determined using Powermarker v3.25 (Liu and Muse 2005). All 68 selected primer pairs were used to amplify template DNA from 41 bamboo species covering 35 genera in six subtribes (Additional file 2: Table S1) and the statistical methods of Nayak and Rout (2005) and Sharma et al. (2009) were used to calculate the cross-taxon transferability and polymorphism (Additional file 3: Table S2), in which polymorphism is calculated only from the loci that were successfully transferred across taxa (Rossetto 2001). Single locus and multilocus outcrossing rates and relative parameters were analyzed separately under the mixed mating model of Ritland & Jain (1981) and Ritland (2002), implemented using MLTR v3.4 (Ritland 1996). Additional file 1: Figure S1: Scheme used for database mining and the development of SSR markers from P. pubescens FL-cDNA sequences. (DOC 31 KB) Additional file 2: Table S1: Species used to test cross species/genus amplification of P. pubescens FL-cDNA SSR loci. (XLS 34 KB) Additional file 3: Table S2: Cross species/genus amplification of P. pubescens FL-cDNA SSR loci. (XLS 87 KB)
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