Literature DB >> 24273419

Development of INDEL markers to discriminate all genome types rapidly in the genus Oryza.

Shinichiro Yamaki1, Hajime Ohyanagi, Masanori Yamasaki, Mitsugu Eiguchi, Toshie Miyabayashi, Takahiko Kubo, Nori Kurata, Ken-Ichi Nonomura.   

Abstract

The wild Oryza species are rich in genetic diversity and are good resources for modern breeding of rice varieties. The reliable ex situ conservation of various genetic resources supports both basic and applied rice research. For this purpose, we developed PCR-based and co-dominant insertion/deletion (INDEL) markers which enable the discrimination of the genome types or species in the genus Oryza. First, 12,107 INDEL candidate sequences were found in the BAC end sequences for 12 Oryza species available in public databases. Next, we designed PCR primers for INDEL-flanking sequences to match the characteristics of each INDEL, based on an assessment of their likelihood to give rise to a single or few PCR products in all 102 wild accessions, covering most Oryza genome types. Then, we selected 22 INDEL markers to discriminate all genome types in the genus Oryza. A phylogenetic tree of 102 wild accessions and two cultivars according to amplicon polymorphisms for the 22 INDEL markers corresponded well to those in previous studies, indicating that the INDEL markers developed in this study were a useful tool to improve the reliability of identification of wild Oryza species in the germplasm stocks.

Entities:  

Keywords:  genetic resource; genome type; genus Oryza; insertion/deletion marker; rice; wild species

Year:  2013        PMID: 24273419      PMCID: PMC3770551          DOI: 10.1270/jsbbs.63.246

Source DB:  PubMed          Journal:  Breed Sci        ISSN: 1344-7610            Impact factor:   2.086


Introduction

Rice (Oryza sativa L.) is one of the most important crops in many countries and so many breeders have made extraordinary efforts to improve yield, grain quality and other agronomical traits in cultivated rice. The completion of the rice genome sequence has promoted molecular breeding and contributed to shorten of the periods for development of new varieties. On the other hand, large scale and long-term cultivation of a few varieties have resulted in a genetic breakdown of modern varieties, for example, in terms of a resistance to biotic stresses (Kottapalli ). Wild species are known to be a source of useful genes for potential use in modern rice breeding. The genus Oryza is composed of 23 species, two cultivated and 21 wild (reviewed by Vaughan and Morishima 2003). On the other hand, regarding chromosome structure, Oryza species are classified into nine genomic types, A to J (I is absent), according to the pairing affinity of meiotic chromosomes in hybrid plants. AA wild species are closely related to cultivated rice, O. sativa and have been useful resources for current breeding programs (Jena 2010) because of high cross compatibility with cultivars. Non-AA species are distantly related to cultivars and seldom used for breeding, due to lower affinity of the meiotic chromosomes and consequently seed sterility of hybrids with cultivated rice. However, non-AA species contain many agronomically important genes (Jena 2010, Nonomura ), so availability of genetically reliable populations of Oryza species would be beneficial in rice breeding. The ex situ conservation of wild species are always faced with problems arising from outcrossing of species or ecotypes, mixed collections of different species in natural habitats and artificial contamination during conservation. The great efforts by many taxonomists have solved these problems and enabled us to classify and conserve the Oryza species reliably. However, it is still difficult for most researchers to classify the Oryza species based on morphological and physiological traits. In this study, we aimed to develop new molecular markers for even inexperienced researchers to discriminate species or genome types of wild Oryza accessions easily by polymerase chain reaction (PCR) and gel electrophoresis. Single nucleotide polymorphisms (SNPs) and insertion/deletion (INDEL) markers are the most commonly used markers in plants, because they are easy to use, PCR-based, co-dominant and relatively abundant (Pacurar 2012). Simple sequence repeat (SSR) markers are also useful, but being rapidly replaced with SNP markers, because of the characteristics of SNPs more stable and amenable to automation (reviewed by McCouch ). Numerous SNP markers have been developed and used for genomic selection, genomic association and quantitative-trait-loci mapping for inbreeding populations of modern varieties with local varieties or closely-related wild species. In this study, we developed INDEL markers, because they have a merit in easy detection of polymorphims by PCR and direct gel electrophoresis, while SNPs information might be converted into CAPS (cleaved amplified polymorphic sequences) or dCAPS (derived CAPS) and restriction endonuclease cleavage is necessary for SNP detection prior to gel electrophoresis (Michaels and Amasino 1998, Neff ). Here, we show that 22 INDEL markers are available to discriminate species or genome types reliably in the genus Oryza.

Materials and Methods

Plant materials

All the wild accessions of the genus Oryza were provided by the National Institute of Genetics (NIG) and the National Bioresource Project (NBRP), Japan (Nonomura ) and are listed in Table 1. Of 282 wild accessions of the NIG core collection, 42 of rank 1 and 60 of rank 2 were used. The accessions were selected to cover 20 of the 21 wild Oryza species (Fig. 1) and four or more accessions were analyzed for each of most species. In addition, O. sativa cv. Nipponbare and cv. Kasalath were used as standard varieties representing ssp. japonica and indica, respectively. All plants were grown in the summer on 2005 and 2006 in a field of the NIG, Mishima, Japan. Genomic DNA was extracted from mature leaves by the CTAB method (Rogers and Bendich 1988).
Table 1

The accessions of wild Oryza species used in this study

Acc No.SpeciesGenome typeOriginAcc No.SpeciesGenome typeDistribution


W0106rufipogonAAIndiaW1361officinalisCCMalaysia
W0120rufipogonAAIndiaW1830officinalisCCunknown
W1294rufipogonAAPhilippinesW1131officinalisCCIndia
W1866rufipogonAAThailandW1302officinalisCCPhilippines
W1921rufipogonAAThailandW1814officinalisCCSri Lanka
W2003rufipogonAAIndiaW1805rhizomatisCCSri Lanka
W0630rufipogonAAMyanmarW1527eichingeriCCUganda
W1236rufipogonAAunknownW1519eichingeriCCUganda
W1807rufipogonAASri LankaW1522eichingeriCCUganda
W1945rufipogonAAunknownW1525eichingeriCCUganda
W2051rufipogonAAunknownW1166latifoliaCCDDMexico
W2078rufipogonAAAustraliaW1197latifoliaCCDDColombia
W2263rufipogonAACambodiaW2200latifoliaCCDDBrazil
W0652barthiiAASierra LeoneW0019latifoliaCCDDCuba
W1588barthiiAACamerounW1181latifoliaCCDDPanama
W0698barthiiAAGuineaW0017altaCCDDSurinam
W0720barthiiAAMaliW1182alta/latifoliaCCDDGuyana
W0747barthiiAAMaliW0018altaCCDDParaguay
W1646barthiiAATanzaniaW1147altaCCDDSurinam
W1169glumaepatulaAACubaW0613grandiglumisCCDDBrazil
W2145glumaepatulaAABrazilW1194grandiglumisCCDDBrazil
W2199glumaepatulaAABrazilW2220grandiglumisCCDDBrazil
W1185glumaepatulaAASurinameW1476grandiglumisCCDDBrazil
W1187glumaepatulaAABrazilW1480(B)grandiglumisCCDDBrazil
W1196glumaepatulaAAColombiaW0008australiensisEEAustralia
W1625meridionalisAAAustraliaW1628australiensisEEAustralia
W1635meridionalisAAAustraliaW1632australiensisEEAustralia
W1297meridionalisAAAustraliaW2086australiensisEEAustralia
W1627meridionalisAAAustraliaW2104australiensisEEAustralia
W2069meridionalisAAAustraliaW1401brachyanthaFFSierra Leone
W2079meridionalisAAAustraliaW1711brachyanthaFFCameroun
W2103meridionalisAAAustraliaW1407(B)brachyanthaFFMali
W1413longistaminataAASierra LeoneW1706brachyanthaFFChad
W1508longistaminataAAMadagascarW0003granulataGGIndia
W0643longistaminataAAGambiaW0067(B)granulataGGThailand
W0708longistaminataAAGuineaW0005granulataGGCeylon
W1540longistaminataAACongoW0615granulataGGMyanmar
W1624longistaminataAACamerounW1356meyerianaGGMalaysia
W1514punctata(2x)BBKenyaW1348meyerianaGGMalaysia
W1590punctata(2x)BBCamerounW1352meyerianaGGMalaysia
W1024punctata(4x)BBCCGhanaW1354meyerianaGGMalaysia
W1408punctata(4x)BBCCNigeriaW1360meyerianaGGMalaysia
W1474(B)punctata(4x)BBCCChadW2068meyerianaGGunknown
W1213minutaBBCCPhilippinesW0001ridleyiHHJJThailand
W1331minutaBBCCPhilippinesW0604ridleyiHHJJMalaya
W0016minutaBBCCSurinamW2033ridleyiHHJJThailand
W1319minutaBBCCPhilippinesW2035ridleyiHHJJThailand
W1323minutaBBCCPhilippinesW1220longiglumisHHJJIndonesia
W1328minutaBBCCPhilippinesW1215longiglumisHHJJIndonesia
W1329minutaBBCCPhilippinesW1224longiglumisHHJJIndonesia
W0002officinalisCCThailandW1228longiglumisHHJJIndonesia
Fig. 1

A diagram of the polymorphic PCR band pattern of 20 wild Oryza species obtained using 22 INDEL markers. The color pattern indicates how many polymorphic bands were detected in each of 22 INDEL markers for 20 wild Oryza species. The species indicated with a same color exhibited an identical band size for each marker on the gel electrophoresis. The number in each color indicates the estimated band size (bp). For example, the Ch7-233W marker gave rise to 5 different bands: 281 bp (magenta), 440 bp (yellow), 200 bp (green), 300 bp (light blue) and 181/350 bp (dark blue). In BBCC and CCDD tetraploid species, this marker gave two bands from both BB and CC types, colored green and light blue. Two numbers with a slash (ex., 181/350) indicate that in tetraploid species (for example, HHJJ), the genome types from which both bands were raised are uncertain. Two numbers with a comma (ex., 210, 370) indicate that the marker amplifies two PCR bands in a diploid species. The numbers with asterisks indicate that those bands are polymorphic in several accessions within the same species. ruf, rufipogon; bar, barthii; glu, glumaepatula; mer, meridionalis; lon, longistaminata; pun, punctata; min, minuta; off, officinalis; eic, eichingeri; rhi, rhizomatis; lat, latifolia; alt, alta; gra, grandiglumis; aus, australiensis; bra, brachyantha; gta, granulata; mey, meyeriana; rid, ridleyi; log, longiglumis. The seven marker IDs colored red are a minimum marker set useful for classifying species and genome species in the genus Oryza.

Identification of INDEL markers

The bacterial artificial chromosome (BAC)-end sequences (BESs) released by the Oryza Map Alignment Project (OMAP) (Ammiraju , Wing ) and available on public databases were used to design PCR primers. The OMAP BESs derived from 12 wild Oryza species (Table 2) were mapped in silico to the reference O. sativa cv. Nipponbare genome (IRGSP Build 5) (http://rgp.dna.affrc.go.jp/E/IRGSP/Build5/build5.html) by a BLAST search (Altschul ). In this step, we selected the BESs that displayed high similarity to the reference sequences except for INDEL regions. For further selection, the gap size was set in the range from 51 to 2,000 base pairs (bp). The primer pair to amplify each of the BESs selected above was designed by Primer3 software (http://primer3.sourceforge.net). The sequences of the reference genome and all primer pairs were put into e-PCR software (http://www.ncbi.nlm.nih.gov/projects/e-pcr/) and the primer pairs virtually amplifying a single band were selected. Each of the pairs was further screened for giving rise to a single band against its original BES in e-PCR software. For further limitation of the number of candidates, we chose primer pairs that amplified PCR products 50 to 1,500 bp long. In addition, the INDEL size was set at 10% or more of each PCR product for easy detection of the polymorphism using agarose gel electrophoresis.
Table 2

The number of putative INDELs detected in silico in this study

Oryza species*Genome typeNo. INDELs candidate sites in this studyNo. BESs used in this study
rufipogonAA43970,982
nivaraAA462106,124
glaberrimaAA55666,821
punctataBB1,27068,384
minutaBBCC1,911169,460
officinalisCC1,504101,091
altaCCDD1,370128,732
australiensisEE705135,769
brachyanthaFF55067,364
granulataGG538138,171
ridleyiHHJJ831204,729
coarctataHHKK1,971195,285

12,1071,452,912

The taxonomy is in accordance with Ammiraju

Amplicon polymorphism assay

PCR was performed under conditions of 94°C for 2 min and a subsequent 35 rounds of 94°C for 1 min, 56°C for 1 min and 72°C for 1 min, followed by 72°C for 2 min, using GoTaq Green Master Mix kit (Promega) and a T1 Thermocycler (Biometra). Amplicon polymorphisms of the INDEL markers were identified by electrophoresis in 3% gels of Certified low range ultra agarose (Bio-Rad) followed by ethidium bromide staining. To detect minute differences in electrophoretic distances more precisely, we also performed fragment analysis of the PCR products using the fluorescent-labeling fragment analyzing system of a capillary sequencer (Applied Biosystems (ABI) PRISM 3130xl) in accordance with the instructions for microsatellite analysis by ABI. ABI PRISM fluorescent primers, fluorescently 5′-labeled with PET, 6-FAM, NED, or VIC dyes, were used for forward INDEL primers. To avoid the “additional A” problem, in which unexpected addition of an adenine residue at the tail of PCR products often makes results unstable, seven nucleotides were artificially added to the 5′ end of reverse primers as recommended by ABI. The PCR product lengths were analyzed using a 3130xl Genetic Analyzer and GeneMapper software (ABI).

DNA sequencing

PCR products amplified with naked INDEL primer pairs were directly sequenced using a BigDye Terminator v3.1 Cycle Sequencing Kit (ABI) according to the manufacturer’s instructions. Some products were cloned into vector pCRII (Invitrogen), then amplified and sequenced with universal M13 forward and reverse primers.

Phylogenetic analysis

A rooted phylogenetic tree was drawn by the UPGMA method (Sokal and Michener 1958) on the basis of the PCR product lengths of INDEL markers determined manually following gel electrophoresis. Data from the fragment analysis were used only to judge the size of DNA fragments showing similar, but slightly different mobilities in the gel. The tree construction was based on Nei’s chord distance (Nei ) and performed using Populations version 1.2.31 software (http://bioinformatics.org/~tryphon/populations/) with 1,000 bootstraps.

Flow cytometry

In addition to wild species, we used a haploid plant, produced from O. sativa cv. Nipponbare by the slightly modified method of the anther culture described by Niizeki and Oono (1968), to normalize the nuclear DNA contents of wild species. The preparation of samples and flow cytometric analysis was performed in accordance with Miyabayashi with slight modifications. The sample nuclei were extracted from a piece of adult leaves (5 × 5 mm). The leaves were chopped with a razor blade in 400 μL of extraction solution A (Partec) and incubated for 30 min. The supernatant was filtered with 50 μm- and subsequently with 20 μm-CellTrics filters. 160 μL of staining solution B (Partec) was added to the supernatant and incubated for 30 min. The extract from the wild species sample was mixed with an equal volume of that from the haploid plant and supplied for the measurement of nuclear DNA contents by ploidy analyzer PA system (Partec) according to the manufacturer’s instruction.

Online disclosure of marker information

Information on the 22 INDEL markers obtained in this study is open access on the integrated rice science database, Oryzabase (Yamazaki , http://www.shigen.nig.ac.jp/rice/oryzabaseV4/).

Results

Selection of INDEL markers to discriminate wild Oryza species

To design PCR primers for discriminating wild relatives of rice, BESs derived from twelve wild species, including O. nivara and O. coarctata in accordance with the taxonomy in Ammiraju , were selected from public databases and compared to the reference O. sativa cv. Nipponbare genome. This permitted the identification of 12,107 putative INDELs in the genomes of wild species compared with cultivated rice (Table 2). 3,244 INDEL loci were shared by 3 to 10 species each (referred to hereafter as multi-INDELs) (data not shown). The multi-INDELs were further reduced to 120 loci based on the degree of conservation of INDEL-flanking sequences and examination of the lengths of PCR products (see Methods). In addition, we selected 104 INDELs, each of which was detected with reference to a single BES from O. rufipogon, O. punctata, O. brachyantha, or O. granulata (single INDEL). In total, 224 markers were investigated for their applicability in classification of wild rice relatives. A total of 40 rice microsatellite (RM) markers (McCouch ) were also investigated. However, all of the RM markers gave intraspecifically polymorphic PCR fragments only in AA-genome species (data not shown); therefore, they were excluded from subsequent analyses. A total of 22 wild accessions representing the 20 Oryza species in addition to two rice varieties, O. sativa ssp. japonica cv. Nipponbare and ssp. indica cv. Kasalath, were used for the first assessment of INDEL markers. We screened the 224 primer sets, focusing on their ability to amplify PCR products in all genome types, especially in distantly related EE, FF, GG or HHJJ species, since this study aimed to establish PCR-based markers applicable for all Oryza species. In this screening, 60 of 120 multi- and 13 of 104 single INDELs were selected and further analyzed (Supplemental Fig. 1). More efficient amplification in distantly related species by multi-INDELs than by single INDELs suggested that INDEL-flanking sequences are diverse among species, and that careful mining of flanking sequences conserved across multiple species is important for efficient selection of INDEL markers. In the second assessment, 22 out of 73 INDELs that gave clear PCR bands in 102 wild accessions were selected (Table 3 and Supplemental Fig. 1) and further analyzed. The 22 INDEL loci were widely distributed on all Nipponbare chromosomes except for chromosomes 11 and 12 and eighteen of them were multi-INDELs (suffixed “W” in Table 3). The size of the 22 INDELs ranged from 56 to 432 bp and averaged 150.8 bp (Table 3).
Table 3

The 22 INDEL markers developed to discriminate wild Oryza species in this study

Marker ID*Primer sequencesINDEL size (bp)BES ID

ForwardReverse
Ch01-301WTTTGTTCATCTGCATCAACTCATGATCATACGATGGAAAGGTAGA56OR_ABa0229J12.r
Ch02-269WTTCGGTAAAGAACCTCTTGAGTGGATTCTAGTGCCATTTCGCC135OP__Ba0011A10.r
Ch02-308WCCTTAAGAAATTGTTAGTTCAGGCACTTCTTCTTGCTAGCAGTTGTCT64OP__Ba0008P06.f
Ch02-342WTGGCAGACCATCTGAGAGAGCCAGAAATCAGCAATCTGCAA196OB__Ba0075C24.f
Ch02-343WTTCTCCACCCTCGTCTTCTCTTGCTCTCCAGCTTCTCCTC245OB__Ba0060I13.r
Ch03-128WTGATTCCTTGGTAGTCTTCCCTGCTCACCATAGACTCTTCCA76OR_ABa0265L24.r
Ch03-173WAGGCAAAGTTCAGAATGCAAAGCGGCAATAGCCATCTAAG217OG_ABa0011K22.r
Ch03-363WTTTCCGTCAGATTGCACATTTGATTTACCACCAAACAGTAAGTCA98OB__Ba0073N03.f
Ch04-276GGGTACCTCCAGGAATCCCATCCAATGTGCATGGCATTTAG229OG_ABa0018K10.r
Ch04-312WTTCTTTGTCGTGATCGCAAGTTTCATTCAACGTGGTGGTT218OR_ABa0207K04.f
Ch05-067WCCCATTCCCTATACCTGTGTAAAAGAATCACAGAGGATCCGAA60OR_ABa0151A19.r
Ch05-070WGGAAGAAAGCAAGGATGCAATCTGCTGTCATATGCTTGGG108OA_BBa0041D18.f
Ch05-109GTGATGATGAAATACCTTGCCCTGTATGGCTGCATTTGCACT276OG_ABa0128B15.f
Ch05-202WTCTTCAAGAAACCAGAAGATCTGATGGATGTGCTTCTGACGCTA83OG_ABa0074B07.r
Ch05-277WCCAGAACCGTTGTTCCTGTTGGATGTTGAGAAGGGTGGAA64OR_ABa0019H23.r
Ch06-269WCCAATGAAATGCAGTCGAGAGGACACATTCAACCCTCACA79OC__Ba0241E15.f
Ch06-300WCACAGACAGTGTCCAGAGTTCAGGCCTTGAAAGTTGAAACCCA180OG_ABa0049K22.f
Ch06-306WGAGCCCTCGGTTAGATGTGACGTGCCGTATATGTCCTGAA61OM__Ba0207M10.f
Ch07-233WTCACCAAGCCAATTCTTCTTCCCTCCTAAACCAGACTGCACA100OR_ABa0269N20.f
Ch08-006WTTGCATTGAATCAGTAGGTCAAAGGACCTTGATTTGCCATGT138OB__Ba0054E21.f
Ch09-037GCCGGAGTCCTATCCACAGGTTTGGGCATCACCTGATAAGA202OG_ABa0001G03.f
Ch10-044GCTTGTTTCCAGCAAGGTTGGTACCAGGTTTGCTGCATGTT432OG_ABa0068J15.r

The suffixes W and G indicate that the markers are multi- and single (granulata)-INDELs, respectively.

Validation of 22 INDEL markers in discrimination of wild Oryza species

Each of the 22 selected INDEL markers exhibited various interspecific amplicon polymorphisms in the genus Oryza (Fig. 1). To validate the reliability of these markers for discriminating Oryza species, they were applied to phylogenetic analysis of 102 wild accessions and two cultivars (Fig. 2). The band sizes of PCR products were manually determined following agarose gel electrophoresis. In addition, for detecting minute differences in electrophoretic distances more precisely, we attempted fragment analysis. However, it was difficult to completely replace the manual method by fragment analysis, because the size of amplicons varied even among wild accessions from the same species. This may be due to numerous inter- and intraspecific SNPs and small INDELs in the sequences flanking the targeted INDEL being responsible for minute differences in electrophoretic distances. Thus, we decided to evaluate PCR band sizes mainly manually, using fragment analysis to support the manual method. All raw data obtained by either method are compiled in Supplemental Table 1. Furthermore, DNA sequencing confirmed that each of the 22 INDEL primer sets enabled amplifying PCR products from a syntenic locus shared by multiple genome types of Oryza species (an example of sequence alignments is shown in Supplemental Fig. 2), indicating the reliability of these markers. Only one of the 22 INDELs was derived from an exonic region (Ch04-276G), four were from intergenic regions (Ch04-312W, Ch05-109G, Ch05-202W and Ch06-300W) and all remaining INDELs were from intronic regions (data not shown).
Fig. 2

Phylogenetic tree of 102 wild Oryza accessions and two cultivars obtained using 22 INDEL markers. This phylogenetic tree was depicted by the UPGMA method (Sokal and Michener 1958), based on data shown in Supplemental Table 1.

Phylogenetic analysis using the 22 INDEL markers selected above successfully divided 102 wild accessions into 9 genome groups (Fig. 2). Here, the taxonomy of the genus Oryza depended on Vaughan and Morishima (2003). Thirty-eight accessions of AA-genome species were divided into 3 phylogenetic groups: the group including rufipogon, barthii and glumaepatula, the meridionalis group and the longistaminata group. Thirty-seven accessions of BB, CC, BBCC and CCDD genome species, the “officinalis complex” (see below), were divided into five independent but closely related groups (Fig. 2). Fourteen accessions of O. latifolia, O. alta and O. grandiglumis, all classified into the CCDD tetraploids, were divided into 4 closely-related groups (Fig. 2). The accessions of latifolia and/or alta segregated into all 4 groups. All O. grandiglumis accessions were in a single group with two accessions of alta or latifolia (Fig. 2). The officinalis complex groups was first connected with EE-genome species and then with the AA-genome in the phylogenetic tree (Fig. 2). In contrast, GG, FF and HHJJ taxa were distant to AA taxa (Fig. 2).

A minimum set of INDELs to discriminate 9 genome types

This study revealed that seven INDEL markers (colored red in Fig. 1) were sufficient to discriminate 9 genome types and several species in the genus Oryza. Four INDELs enabled classification of wild species into each genome group by PCR and agarose gel electrophoresis (Fig. 1 and Supplemental Fig. 1). First, Ch06-306W gave PCR bands characteristic of the CC, FF, GG and HHJJ genome groups. HHJJ species were separable into O. ridley and O. longiglumis, allowing consequent determination of O. brachyantha, since the FF genome is composed of a single species. Second, Ch07-233W characterized diploid O. punctata (BB), diploid CC genome species and tetraploid BBCC species. This marker also discriminates O. meridionalis from other AA species. Third, Ch04-312W clearly discriminated the EE species, O. australiensis and CCDD species from other species. O. longistaminata was discriminated from other AA species by this marker. Additional use of Ch05-070W enabled O. grandiglumis to be distinguished from other CCDD species. Validation by fragment analysis further enabled several genome groups and species to be distinguished (Supplemental Table 1). Ch02-343W made O. longistaminata clearly separable from other AA species, and Ch06-300W and Ch10-044G distinguished tetraploid O. punctata from O. minuta (both BBCC).

Discussion

In this study, we developed the 22 INDEL markers from the public information of over a million of BESs by means of in silico selection and subsequent PCR-based assessments. They are co-dominant markers reliably and rapidly to discriminate all genome types and several species in the genus Oryza. Phylogenetic analysis of 102 wild accessions also confirmed the reliability of the markers. In this study, O. rufipogon, O. barthii and O. glumaepatula were unable to be separated (Fig. 2). This result is comparable to those of previous studies, in which the AA-genome species lack clear morphological characteristics, except for O. longistaminata (reviewed in Vaughan and Morishima (2003)). A sole grouping of O. meridionalis accessions is consistent with the results obtained using restriction fragment length polymorphisms (RFLPs) and short interspersed elements (SINEs) (Doi , Wang , Xu ). The longistaminata accessions displayed intraspecific amplicon polymorphisms for an INDEL marker (asterisked in Fig. 1), probably representing genetic diversity of this species previously reported (Kiambi , Oka 1988). BB, CC, BBCC and CCDD genome species are distributed widely in Asia, Australia, Central and South America and Africa and have been called the “officinalis complex” because of diverse but relatively similar morphology (Tateoka 1962). RFLP analysis in a previous study revealed that these species are closely related (Wang ), corresponding to the results of this study. Three CCDD tetraploids, the O. latifolia, O. alta and O. grandiglumis, shared almost INDEL patterns with each other, resulting in all these accessions being in 4 closely-related phylogenetic groups (Fig. 2). This result seems to be consistent to a previous report that these three species are closely related in terms of taxonomy; latifolia and alta were distinguished from each other only by the size of spikelet, and that grandiglumis was distinguished from latifolia and alta only by large glumes (Morishima and Martin 1994). EE genome species were closer to the officinalis complex species than GG, FF and HHJJ species, consistent with a previous proposal in which the EE genome is closely related to the DD genome progenitor (Ge , Wang ). The phylogenetic results in this study largely corresponded to those in the previous studies, indicating the reliability of the INDEL markers in identification of wild species of rice. Phylogenetic analysis in this study also revealed possibility of several mistakes in registration of wild accessions conserved in the NIG collection. W1525 was classified as diploid O. eichingeri (CC) and W0018 and W0019 as tetraploid O. alta and O. latifolia (CCDD), respectively. However, the pattern of PCR amplification by three INDEL markers, Ch07-233W, Ch03-128W and Ch04-312W (Supplemental Fig. 1), suggests the possibility that these three accessions should be classified as tetraploid BBCC species. In addition, W1474, deposited as tetraploid O. punctata (BBCC), exhibited the INDEL pattern of diploid O. punctata (BB) (Supplemental Fig. 1). These problem accessions were involved in the clades distinct from the expected clades in the phylogenetic tree (shaded in Fig. 2). In case of W1525 and W1474, we extended the number of plants examined and confirmed by INDEL marker-assisted and flow-cytometric analyses that each of these accessions actually segregated into two different ploidies (Supplemental Fig. 3). These results clearly demonstrate the reliability of the INDEL markers developed in this study. In the current database, W1805 from Sri Lanka is deposited as O. rhizomatis, but was previously deposited as O. eichingeri (http://www.shigen.nig.ac.jp/rice/oryzabaseV4/strain/wildCore/detail/36). However, the haplotype of the 22 INDELs in this accession is identical to that in African O. eichingeri accessions (Fig. 2). These problematic accessions need to be reclassified more carefully. Genetic resources are the common heritage of humankind. However, some natural populations of Oryza species have been lost from their original habitats, mainly due to drastic environmental changes and human activities (Akimoto , Nonomura ). In situ and ex situ conservation strategies have become important globaly. Wild Oryza species are quite diverse genetically and physiologically and sometimes form mixed populations of different species in their original habitats. Especially for ex situ conservation, it is critical to pay attention to maintaining the genetic reliability of strains by excluding any contamination from different species. The 22 PCR-based and co-dominant INDEL markers developed in this study will be powerful tools to help determinate species identity and genome types easily and to establish germplasm stocks with corroborative genetic information useful for experimental studies and rice breeding.
  12 in total

1.  Effective strategy for pyramiding three bacterial blight resistance genes into fine grain rice cultivar, Samba Mahsuri, using sequence tagged site markers.

Authors:  Kameswara Rao Kottapalli; M Lakshmi Narasu; Kshirod K Jena
Journal:  Biotechnol Lett       Date:  2010-03-28       Impact factor: 2.461

2.  Polymorphism and phylogenetic relationships among species in the genus Oryza as determined by analysis of nuclear RFLPs.

Authors:  Z Y Wang; G Second; S D Tanksley
Journal:  Theor Appl Genet       Date:  1992-03       Impact factor: 5.699

3.  The Oryza bacterial artificial chromosome library resource: construction and analysis of 12 deep-coverage large-insert BAC libraries that represent the 10 genome types of the genus Oryza.

Authors:  Jetty S S Ammiraju; Meizhong Luo; José L Goicoechea; Wenming Wang; Dave Kudrna; Christopher Mueller; Jayson Talag; HyeRan Kim; Nicholas B Sisneros; Barbara Blackmon; Eric Fang; Jeffery B Tomkins; Darshan Brar; David MacKill; Susan McCouch; Nori Kurata; Georgina Lambert; David W Galbraith; K Arumuganathan; Kiran Rao; Jason G Walling; Navdeep Gill; Yeisoo Yu; Phillip SanMiguel; Carol Soderlund; Scott Jackson; Rod A Wing
Journal:  Genome Res       Date:  2005-12-12       Impact factor: 9.043

4.  A robust method for detecting single-nucleotide changes as polymorphic markers by PCR.

Authors:  S D Michaels; R M Amasino
Journal:  Plant J       Date:  1998-05       Impact factor: 6.417

5.  dCAPS, a simple technique for the genetic analysis of single nucleotide polymorphisms: experimental applications in Arabidopsis thaliana genetics.

Authors:  M M Neff; J D Neff; J Chory; A E Pepper
Journal:  Plant J       Date:  1998-05       Impact factor: 6.417

6.  Phylogeny of rice genomes with emphasis on origins of allotetraploid species.

Authors:  S Ge; T Sang; B R Lu; D Y Hong
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-07       Impact factor: 11.205

7.  The oryza map alignment project: the golden path to unlocking the genetic potential of wild rice species.

Authors:  Rod A Wing; Jetty S S Ammiraju; Meizhong Luo; Hyeran Kim; Yeisoo Yu; Dave Kudrna; Jose L Goicoechea; Wenming Wang; Will Nelson; Kiran Rao; Darshan Brar; Dave J Mackill; Bin Han; Cari Soderlund; Lincoln Stein; Phillip SanMiguel; Scott Jackson
Journal:  Plant Mol Biol       Date:  2005-09       Impact factor: 4.076

8.  Accuracy of estimated phylogenetic trees from molecular data. II. Gene frequency data.

Authors:  M Nei; F Tajima; Y Tateno
Journal:  J Mol Evol       Date:  1983       Impact factor: 2.395

9.  Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.) (supplement).

Authors:  Susan R McCouch; Leonid Teytelman; Yunbi Xu; Katarzyna B Lobos; Karen Clare; Mark Walton; Binying Fu; Reycel Maghirang; Zhikang Li; Yongzhong Xing; Qifa Zhang; Izumi Kono; Masahiro Yano; Robert Fjellstrom; Genevieve DeClerck; David Schneider; Samuel Cartinhour; Doreen Ware; Lincoln Stein
Journal:  DNA Res       Date:  2002-12-31       Impact factor: 4.458

10.  A collection of INDEL markers for map-based cloning in seven Arabidopsis accessions.

Authors:  Daniel Ioan Păcurar; Monica Lăcrămioara Păcurar; Nathaniel Street; John Desmond Bussell; Tiberia Ioana Pop; Laurent Gutierrez; Catherine Bellini
Journal:  J Exp Bot       Date:  2012-01-25       Impact factor: 6.992

View more
  16 in total

1.  The potentiality of rice microsatellite markers in assessment of cross-species transferability and genetic diversity of rice and its wild relatives.

Authors:  Umakanta Ngangkham; Sofini Dash; Madhuchhanda Parida; Sanghamitra Samantaray; Devachandra Nongthombam; Manoj Kumar Yadav; Awadhesh Kumar; Parameswaran Chidambaranathan; Jawahar L Katara; Bhaskar C Patra; Lotan K Bose
Journal:  3 Biotech       Date:  2019-05-20       Impact factor: 2.406

2.  Indel marker analysis of putative stress-related genes reveals genetic diversity and differentiation of rice landraces in peninsular Thailand.

Authors:  Sukhuman Whankaew; Siriluk Kaewmanee; Kedsirin Ruttajorn; Amornrat Phongdara
Journal:  Physiol Mol Biol Plants       Date:  2020-05-14

3.  Genome-wide indel markers shared by diverse Asian rice cultivars compared to Japanese rice cultivar 'Koshihikari'.

Authors:  Jun-Ichi Yonemaru; Sun Hee Choi; Hiroaki Sakai; Tsuyu Ando; Ayahiko Shomura; Masahiro Yano; Jianzhong Wu; Shuichi Fukuoka
Journal:  Breed Sci       Date:  2015-06-01       Impact factor: 2.086

4.  Complete Chloroplast Genome Sequence of Tartary Buckwheat (Fagopyrum tataricum) and Comparative Analysis with Common Buckwheat (F. esculentum).

Authors:  Kwang-Soo Cho; Bong-Kyoung Yun; Young-Ho Yoon; Su-Young Hong; Manjulatha Mekapogu; Kyung-Hee Kim; Tae-Jin Yang
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

5.  Development of INDEL Markers for Genetic Mapping Based on Whole Genome Resequencing in Soybean.

Authors:  Xiaofeng Song; Haichao Wei; Wen Cheng; Suxin Yang; Yanxiu Zhao; Xuan Li; Da Luo; Hui Zhang; Xianzhong Feng
Journal:  G3 (Bethesda)       Date:  2015-10-19       Impact factor: 3.154

6.  Barcode System for Genetic Identification of Soybean [Glycine max (L.) Merrill] Cultivars Using InDel Markers Specific to Dense Variation Blocks.

Authors:  Hwang-Bae Sohn; Su-Jeong Kim; Tae-Young Hwang; Hyang-Mi Park; Yu-Young Lee; Kesavan Markkandan; Dongwoo Lee; Sunghoon Lee; Su-Young Hong; Yun-Ho Song; Bon-Cheol Koo; Yul-Ho Kim
Journal:  Front Plant Sci       Date:  2017-04-10       Impact factor: 5.753

7.  PCR-based INDEL markers co-dominant between Oryza sativa, japonica cultivars and closely-related wild Oryza species.

Authors:  Mitsuru Niihama; Misato Mochizuki; Nori Kurata; Ken-Ichi Nonomura
Journal:  Breed Sci       Date:  2015-09-01       Impact factor: 2.086

8.  Development and Utilization of InDel Markers to Identify Peanut (Arachis hypogaea) Disease Resistance.

Authors:  Lifeng Liu; Phat M Dang; Charles Y Chen
Journal:  Front Plant Sci       Date:  2015-11-13       Impact factor: 5.753

9.  InDel marker based genetic differentiation and genetic diversity in traditional rice (Oryza sativa L.) landraces of Chhattisgarh, India.

Authors:  Parmeshwar Kumar Sahu; Suvendu Mondal; Deepak Sharma; Gautam Vishwakarma; Vikash Kumar; Bikram Kishore Das
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

10.  Comparative transcriptomics uncovers alternative splicing and molecular marker development in radish (Raphanus sativus L.).

Authors:  Xiaobo Luo; Liang Xu; Dongyi Liang; Yan Wang; Wei Zhang; Xianwen Zhu; Yuelin Zhu; Haiyan Jiang; Mingjia Tang; Liwang Liu
Journal:  BMC Genomics       Date:  2017-07-03       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.