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. 2012 Aug 17;7(8):e43066. doi: 10.1371/journal.pone.0043066

Indica and Japonica Crosses Resulting in Linkage Block and Recombination Suppression on Rice Chromosome 12

Yulin Jia 1,*, Melissa H Jia 1, Xueyan Wang 2, Guangjie Liu 3
Editor: Jinfa Zhang4
PMCID: PMC3422337  PMID: 22912788

Abstract

Understanding linkage block size and molecular mechanisms of recombination suppression is important for plant breeding. Previously large linkage blocks ranging from 14 megabases to 27 megabases were observed around the rice blast resistance gene Pi-ta in rice cultivars and backcross progeny involving an indica and japonica cross. In the present study, the same linkage block was further examined in 456 random recombinant individuals of rice involving 5 crosses ranging from F2 to F10 generation, with and without Pi-ta containing genomic indica regions with both indica and japonica germplasm. Simple sequence repeat markers spanning the entire chromosome 12 were used to detect recombination break points and to delimit physical size of linkage blocks. Large linkage blocks ranging from 4.1 megabases to 10 megabases were predicted from recombinant individuals involving genomic regions of indica and japonica. However, a significantly reduced block from less than 800 kb to 2.1megabases was identified from crosses of indica with indica rice regardless of the existence of Pi-ta. These findings suggest that crosses of indica and japonica rice have significant recombination suppression near the centromere on chromosome 12.

Introduction

Recombination suppression is a complex biological phenomenon often resulting in large linkage blocks (LBs) where a set of genes is inherited together. Recombination suppression is known to be determined by the location of a genomic region, the method of selection, and genetic factors that determine recombination [1], [2]. Although it is known that recombination suppression can easily occur in regions with more repetitive DNA sequences and/or near the centromere regions [3], [4], [5], [6], the molecular and genetic bases of recombination suppression have not been clearly defined.

Rice (Oryza sativa L.) is one of the most important food crops in the world. Blast disease of rice caused by the filamentous fungal pathogen Magnaporthe oryzae has been a serious threat to rice production for years in most regions where rice is grown. Breeding for resistance to blast has been one of the most important objectives for rice breeders worldwide. Over 80 major and 35 quantitative R genes have been incorporated, some individually and/or in clusters, into diverse elite cultivars by classical plant breeding [7]. In practice, resistant resources for japonica rice growing areas have been commonly identified from subspecies indica whereas japonica resistant resources are useful for indica rice growing areas [8]. Crosses between indica and/or japonica rice have been routinely made for incorporating these blast R genes. The major R gene Pi-ta in rice was introduced from landrace indica varieties, Tetep and Tadukan, into a series of japonica cultivars in the Southern US and other regions of the world. A total of 11 newly developed rice cultivars, Katy, Drew, Madison, Kaybonnet, Banks, Ahrent, Spring, Cybonnet, Catahoula, CL111, and Templeton, were confirmed to contain Pi-ta [9]. Pi-ta encodes a cytoplasmic receptor with nucleotide binding domain and imperfect leucine rich repeats preventing infections by races of M. oryzae that contain AVR-Pita [10]. AVR-Pita, known to encode a metalloprotease, was predicted to be involved in pathogenicity [11]. Distribution, evolution and interaction of Pi-ta and AVR-Pita1 have been investigated [12], [13], [14], [15], [16], [17], [18], [19], [20], [21]. As a result, DNA markers have been identified from portions of the cloned gene for marker assisted selection [22], [23]. In a previous study, large LBs around the Pi-ta locus were identified from backcrossed progeny and several rice cultivars [24]. It was unclear if the observed large LBs were due to multiple genes required for Pi-ta mediated resistance that is clustered within the same genomic region [25] and/or were due to recombination suppression because of incompatibility between indica and japonica.

The objective of the present study was to examine LBs at the Pi-ta locus using five random mapping populations involved in recombination events of indica with japonica and indica with indica.

Results

LB between a Cross of a japonica Line (pi-ta/pi-ta) with a japonica Cultivar Carrying a Portion of indica Genome (Pi-ta/Pi-ta)

To further investigate the recombination suppression observed at the Pi-ta locus in germplasm selected for blast resistance [24], we investigated a random RIL population consisting of 87 lines or 174 recombination events of a japonica breeding line RU9101001 (Early) with a japonica cultivar Katy with a large fragment of Pi-ta containing indica genome on chromosome 12. Markers RM27941, RM1337, RM27940 and RM7102 co-segregated with Pi-ta. SSR marker OSM89 physically located at 8.8 megabases (MB) was found at the left border at 2.2 cM from the Pi-ta gene; whereas, SSR marker RM511 physically located at 17.4 MB was found at the right border 6.4 cM from the Pi-ta gene. LB in this population was reduced to 8.6 MB (Figure 1A).

Figure 1. Genetic maps showing the size of linkage block among different crosses.

Figure 1

A: Lemont and Jasmine 85; B: Early and Katy; C. Cocodrie and MCR 01-0277; D. Katy and Amane (172); E: Zhe733 and Katy. Graphic presentation of chromosome 12 with centromere, and difference of genotypes were indicated by different color shading (Left). Genetic distance in CentiMorgan defined by SSR marker and physical size of the linkage block defined by the two closest SSR markers was shown as LB = (Right) were shown.

LBs between Crosses of Two japonica Cultivars (pi-ta/pi-ta) with Two indica Cultivars (pi-ta/pi-ta)

Analysis of 186 recombinant events from Lemont (pi-ta/pi-ta) and Jasmine 85 (pi-ta/pi-ta) RIL population identified SSR markers OSM91 and RM7102 that were found to co-segregate perfectly with Pi-ta. The physical distance between these two markers is 3.1 MB (Table 1). However, SSR marker RM3246, located at 9.1 MB, was identified at 0.4 cM from the Pi-ta gene that defines the left border; whereas SSR marker RM277 located at 18.3 MB is 5.5 cM from Pi-ta that defines the right border (Figure 1B). These two border markers indicated an LB of 9.2 MB.

Table 1. Physical distances of SSR markers co-segregated with Pi-ta and with both borders of the recombination break points in mapping populations.

Left border Co-segregated Right border
Marker Physicallocation (MB)1 Marker Physical distance between two markers (MB)2 Marker Physical location
Lemont X Jasmine 85 RM3246 9.1 OSM91-RM7102 3.1 RM277 18.3
RU9101001 X Katy OSM89 8.8 Pi-ta-RM7102 2.6 RM511 17.4
Zhe733 X Katy OSM91 10.1 Pi-ta 0 RM 27946 10.9
Cocodrie X MCR RM7003 6.8 RM3246-RM7102 4.1 None
Katy X 172 RM3246 9.1 RM27941 0 RM1047 11.2
1

Physical location of each marker was obtained from www.gramene.org.

2

MB denotes megabases.

A population derived from a cross of a different pi-ta/pi-ta indica cultivar with a different pi-ta/pi-ta japonica cultivar was studied to determine if LB can be reduced if a different indica genome on chromosome 12 is used. A total of 93 random doubled haploid lines or 186 recombination events of a tropical japonica cultivar Cocodrie (pi-ta/pi-ta) and an indica derived germplasm MCR 01-0277 (pi-ta/pi-ta) were analyzed. SSR marker RM7003 physically located at 6.8 MB was found at the left border of the pi-ta gene. RM3246, RM1047, OSM91, RM27940, RM1337, RM27973 and RM7102, the furthest marker whose physical location is 13.2 MB, co-segregated with pi-ta. This analysis identified a LB is greater than 6.4 MB (Figure 1C). Unfortunately, the exact LB block was undetermined because we failed to identify the right border in this population. This finding suggests that observed linkage block is largely due to genomic contents on chromosome 12.

LB between a Cross of a japonica Cultivar Carrying Pi-ta indica Region with an indica Cultivar with Pi-ta and a Defective Component

To investigate if LB can be reduced in germplasm containing Pi-ta from two different origins, a total of 94 individuals (188 recombination events) of an F2 population derived from a cross of Katy (Pi-ta/Pi-ta) with an indica cultivar 172 from Sri Lanka (Pi-ta/Pi-ta) but missing additional critical components for blast resistance where both contain different indica origins at chromosome 12 were analyzed. SSR marker RM3246 whose physical location is 9.1 MB was identified at 1.2 cM from the Pi-ta gene. SSR marker RM27941 co-segregated with Pi-ta. The SSR marker RM1047 whose physical location is 11.2 MB was identified at 0.8 cM from the Pi-ta gene defining the right border. LB was further delimited within a 2.1 MB fragment (Figure 1D).

LB between a Cross of japonica Carrying an indica Genome at the Pi-ta Locus with an indica Cultivar (pi-ta/pi-ta)

We investigated if LB can be reduced when a japonica cultivar carrying indica genome on chromosome 12 containing Pi-ta was crossed with an indica cultivar from a different rice growing area lacking Pi-ta. A total of 89 individuals of an F10 RIL population of a cross of an indica Zhe733 (Pi-ta/Pi-ta) and tropical genetic stock Kaybonnet-lpa (Pi-ta/Pi-ta) with chromosome 12 identical to that in Katy was analyzed (Table 1, Figure 1). SSR marker OSM91 (10.1 MB) was identified at 1.2 cM from the Pi-ta gene and RM27946 (10.9 MB) was identified 0.1 cM at the right border of the Pi-ta gene. This analysis further determined that LB was independent to Pi-ta, and was within 0.8 MB (Figure 1E).

Discussion

Investigation of the molecular and genetic basis of LB and recombination suppression can benefit plant breeding and genetic studies. In a previous study, we demonstrated a large linkage block from 43 BC5F2 progeny and several elite rice cultivars around the rice blast resistance gene Pi-ta [24]. It was proposed that selection for genes required for blast resistance could be one of the major reasons for the observed linkage blocks. In the present study, we examined if the observed linkage block could also be due to the incompatibility between indica and japonica in crosses without selection pressure for blast resistance. A total of 5 random recombinant populations consisting of 456 individuals with different resistant and susceptible Pi-ta haplotypes were examined using 40 SSR markers spanning the centromeric region of chromosome 12 (Figure 2). Remarkably, differential recombinant events between individuals derived from japonica and indica, indica and indica crosses were detected, LB was delimited within 800 KB between the indica cultivar Zhe733 without the resistant Pi-ta allele (Figure 1E), and a tropical japonica cultivar Katy carrying resistant indica Pi-ta allele from an indica landrace variety Tetep; whereas a large 9.2 MB linkage block was observed between a japonica lacking Pi-ta and indica containing Pi-ta and further reduced to be 6.4 MB with japonica and indica derived lines lacking the resistant Pi-ta allele. Taken together, this study suggests that the existence of a large linkage block at the centromeric region at the Pi-ta locus is mostly due to incompatibility between indica and japonica. To our knowledge this is the first demonstration of this magnitude of lack of recombination between indica and japonica rice crosses involving chromosome 12.

Figure 2. Schematic presentation of chromosome 12 with physical location (MB) of each SSR marker used for this study.

Figure 2

Locations of SSR markers were obtained from www.gramene.org. *Physical location unavailable in gramene thus was determined by blasting the primers to the Nipponbare genome.

We knew that an individual of an F2 or DH population has less recombination than an individual of a RIL population. In the present study, three RIL populations were used to investigate the magnitude of LBs. Of the three RIL populations studied two were indica by japonica, and one was indica by indica to ensure similar recombination rates. It was found that indica by indica RIL population had significantly higher recombination rates than indica by japonica crosses. We might have observed an even smaller LB in the Katy, a japonica cultivar with large indica genomic region by an indica cultivar “172” mapping population if it had been advanced to RIL generation. With less recombination events we still detected 2.1 MB LB that is smaller than other indica and japonica crosses and larger than other indica and indica cross. In the present study, the numbers of individuals ranged from 87–93 in 5 mapping populations were comparable. While these populations were slightly small, it’s highly improbable that we would observe large LBs in three different indica by japonica crosses while not observing it in two indica by indica crosses. Significant reduction of LB from indica and japonica cross in comparison with that of indica and indica cross suggests that large LB could be due to indica and japonica cross. Further examination of LBs from japonica and japonica cross will help to understand the genetic and molecular bases of LB.

The existence of sexual incompatibility between indica and japonica rice on chromosome 12 suggest that both japonica and indica are not as closely related subspecies of cultivated rice Oryza sativa as previously thought. It is well known that japonica and indica rice possess distinct morphological and molecular differences [26] suggesting unique origins and domestications. One theory is that O. sativa was originated from the wild relative Oryza rufipogon. However, historical records of the time and geographic separation of indica from japonica subspecies remains unclear. Furthermore, Xu et al [27] reported sequence information of cultivars and wild relatives of rice suggesting that indica is more closely related with wild relative O. nivara and japonica is closely related with O. rufipogon [27]. Contemporary surveys have indicated that indica rice is commonly grown in lowland throughout tropical Asia while japonica is often cultivated in dry fields in temperate East Asia, upland areas of Southeast Asia and high elevations in South Asia, and the United States of America (US). There is also another theory that Oryza sativa rice was domesticated at least twice where indica was from eastern India, Myanmar and Thailand; and japonica from southern China and Vietnam even though there is archaeological and genetic evidence for a single domestication of rice from the lowlands of China [28], [29]. How environmental conditions and domestication contributed to the observed differences of indica and japonica rice will need to be further investigated.

Three major hypotheses can explain LB at the Pi-ta locus: 1) Genes required for blast resistance are clustered together. This hypothesis is supported by the finding that Pi-ta-mediated resistance responses require another plant gene Ptr(t) and this gene has been mapped nearby the Pi-ta gene [25]. The Ptr(t) gene was recently fine mapped outside 800 kb of the Pi-ta gene (Wang and Jia, unpublished data) further suggesting LB can be reduced without selection for blast resistance. 2) The centromeric region of plant genome often has a significant amount of cross over suppression [30], [31], in fact, there is some recombination suppression at the centromeric region on chromosome 8 (Jia, unpublished data). Thus, the sizes of LB observed near the centromere may be larger than that in other regions of chromosome. 3) Incompatibility occurs between indica and japonica crosses. The fact that recombination suppression occurs in indica by japonica crosses but not indica by indica crosses indicate that large LB at the Pi-ta locus is mostly likely due to the incompatibility of indica and japonica. It would be a priority to investigate the size of LB involved in japonica parents in the present study with other japonica genotypes.

If large LB is due to the incompatibility between indica and japonica, perhaps genome sequence of parents in the present study should give us some ideas as what genes may be involved. The major homologous recombination gene DMC1 has types A and B [32], [33] in the reference genome Nipponbare. One member of the type A is in chromosome 12 [34]. Further sequence analysis of type A and functional validation will be needed to establish if type A plays any role in the observed LB between indica and japonica crosses. Additionally, genomic comparisons thus far have revealed that there are considerable differences on transposable elements on chromosome 12. Recently, a transposon at the promoter region of Pi-ta in resistant rice cultivars was found suggesting its active role in regulation of gene expression [17]. Predicted DNA sequences encode a protein with 844 amino acids with features similar in zinc fingers and transcription factors and with domains commonly found in hAT family dimerization (hATC) of a transposable element [17]. Additionally, a study at chromosome 8 suggested that transposable elements LTR-retrotransposon on chromosome 8 may play role in observed recombination suppression [35]. However, differences in number and type of transposable elements on chromosome 12 are not as great as that on chromosome 8. Further examination of recombination events of the crosses involved in rice cultivars that were not screened for Pi-ta mediated blast resistance, and sequence all genes on chromosome 12 in these cultivars may shed more light on the mechanisms of incompatibility between indica and japonica rice.

Understanding of LB on a particular chromosome is important for crop improvement. Rice cultivars with Pi-ta have been effective for preventing blast disease over two decades in the southern US [8], [9]. This could be due to LB at the Pi-ta region where all components including Ptr(t) [25] for blast resistance have been inherited together. Thus far, Pi-ta and Pi-ta2 are the only blast R genes in that region that are effective at preventing blast disease in the US [10], [13], [36] although it is unclear if Pi-ta2 is present in all Pi-ta containing cultivars in the southern US. Cloning of Pi-ta2 should help to address this question. In contrast, LB can be a bottleneck for crop improvement. Genes for desired traits are often embedded with genes for unwanted traits which can be problematic for conventional crop improvement. In fact, historically it has been observed that yield potentials of 11 rice cultivars with Pi-ta were not as high as some rice cultivars without Pi-ta in Arkansas, suggesting the negative factors for yield may have been inherited from the original donor for Pi-ta due to LB at the Pi-ta locus. A population with mono- and digenic lines of Pi-ta, Pi-ks/h that are segregating for yield components [37] and near isogenic line with Pi-ta developed by Jia and Martin [25] should help us to determine epistatic relationship between blast resistance and yield potential in the future.

In summary, using five random mapping populations of rice we demonstrated that LB around a blast resistance gene that was largely due to the incompatibility between indica and japonica rice. Identified recombinant lines defined recombination suppression will be useful for further sequence, and analysis of molecular differences between indica and japonica rice in order to understand molecular basis of recombination suppression, a phenomena that has been commonly observed in plant genetics and breeding.

Materials and Methods

Choice of Rice Genotype (Table 2)

Table 2. Description of rice cultivars and breeding lines used in this study.1 .

Name Plant Identification Characteristics Existence of Pi-ta 3 Reference
Early (RU9101001) Unregistered Tropical japonica line, early mature, blast susceptible _ 43
Katy PI 527707 Tropical japonica cultivar withlarge introgression of indicafrom an indica landrace Tetep + 37
Lemont PI 475833 Tropical japonica cultivar _ 38
Jasmine 85 PI 595927 Indica _ 39
Cocodrie PI 606331 Tropical japonica line, early mature 40
MCR01-0277 PI 641932 Indica like breeding line _ 41
Zhe 733 PI 629016 Early mature, blast resistant,high yielding indica _ 46, from China
“172”2 PI 37335 Indica + From Sri Lanka
1

Characteristics of rice genotypes were verified using 1536 SNP markers [42].

2

Cultivar 172 was susceptible to blast although it contains Pi-ta because lacking Ptr(t) [25].

3

Indicates the absence, and + indicates the presence of resistant Pi-ta allele in each genotype as determined using method described in [23].

“Early” (RU9101001) is an early maturing, cold tolerant tropical japonica rice line developed by University of Arkansas (Moldenhauer, unpublished data). This line has been used as an experimental line for marker development and genetic studies. Katy (PI 527707), released in 1990, is a tropical japonica cultivar that contains Pi-ta [37] and has been a donor for Pi-ta for rice breeding programs in the Southern US. Lemont (PI 475833) is a tropical japonica cultivar grown from the 1980s to 1990s in the southern US that does not possess Pi-ta [38]. Jasmine 85 (PI 595927), a long-grain aromatic indica cultivar lacking Pi-ta initially developed at the International Rice Research Institute (IRRI), in the Philippines and adapted to the southern US, was officially released in 1989 by the USDA-ARS and the Texas Agricultural Experiment Station [39]. Cocodrie is a tropical japonica cultivar with good yield potential and lacks Pi-ta [40]. MCR 01-0277 (PI 641932) is a breeding line developed in the US that contains considerable indica genome [41]. Zhe733 (PI 629016) is an indica cultivar with high yield, early maturity and effective blast resistance genes lacking Pi-ta from China. “172” is the indica cultivar Amane (Pi-ta/Pi-ta) (PI 373335) from Sri Lanka that contains Pi-ta, but is susceptible to an avirulent isolate (Jia, unpublished data). It was predicted that Amane contains a defective component [ptr(t)/ptr(t)] required for Pi-ta-mediated disease resistance [21], [24]. The indica cultivar 172 contains Pi-ta, but is susceptible to the most of common races of blast [15] and was used as a parent crossed to Katy to develop a mapping population for detection of resistance to blast not due to Pi-ta, but due to the defect of additional critical component Ptr(t) [25]. A previous study genotyped all of these rice germplasm accessions, except MCR 01-0277, with 1536 SNP markers, and genomic contents of indica and japonica on rice chromosome 12 were verified by Zhao et al [42].

Mapping Populations

In order to reduce negative impact of recombination suppression and polymorphic marker density limitation of some parents, a total of five mapping populations derived from different indica and japonica and indica and indica crosses was used to investigate LB on rice chromosome 12. Five mapping populations, four of which were requested from the Genetic Stocks Oryza (GSOR) collection, USDA-ARS (http://www.ars.usda.gov/spa/dbnrrc/gsor) were used for this study: 1) Early/Katy: 87 individuals of an F10 recombinant inbred line (RIL) population derived from a cross of a tropical japonica line RU9101001 (pi-ta/pi-ta) with a tropical japonica cultivar Katy (Pi-ta/Pi-ta) [43]. About half (14 megabases) of chromosome 12 in Katy was derived from a landrace indica Tetep. 2) LJ: 93 individuals of an F10 RIL population derived from a cross of a tropical japonica Lemont (pi-ta/pi-ta) with an indica cultivar Jasmine 85 (pi-ta/pi-ta). 3) KZ: 89 individuals of an F10 RIL population of a cross of an indica Zhe733 (pi-ta/pi-ta) and tropical genetic stock Kaybonnet-lpa1-1 (Pi-ta/Pi-ta) with the chromosome 12 identical to that in Katy [44]. 4) K172∶94 individuals of an F2 population derived from a cross of Katy [Pi-ta/Pi-ta Ptr(t)Ptr(t)] with ‘172’ [Pi-ta/Pi-ta ptr(t)ptr(t)] from Sri Lanka where both contain different indica origins for chromosome 12 This population was developed by the Molecular Plant Pathology program of DB NRRC (Jia, unpublished data). 5) MCR: 93 doubled haploid lines of the SB2 mapping population derived from a cross of a tropical japonica cultivar Cocodrie (pi-ta/pi-ta) and an indica derived germplasm MCR 01-0277 (pi-ta/pi-ta) [41].

Plant Growth

Rice plants were grown in a greenhouse using sterilized local clay soils under conditions as previously described [45]. For RILs, seeds (5 to 10) from each line were directly sown on top of moistened soil in a small pot to produce 3 plants per line. Small pots with 4 holes at the bottom that allow roots to access water were placed in a tray with tap water. Leaves were bulked from 3 plants at the 3- to 4-leaf stage on ice for DNA extraction. For the F2 population, seeds were planted into a 64 well flat and tissue was harvested from each plant at the 3- to 4-leaf stage. DNA was prepared as described in Liu et al [46].

SSR Analysis

To obtain dense coverage on chromosome 12, forty SSR markers were used to identify polymorphic markers from both parents and 28 polymorphic markers were identified for this study (Figure 2). The primer sequences and map position of the SSR markers were obtained from the Gramene Version 21 database (http://www.gramene.org). PCR reactions were performed in 25 µL reaction volumes consisting of 20 ng of DNA, 10 mM Tris–HCl pH 8.3, 50 mM KCl, 2.5 mM MgCl2, 300 nM of each primer, 1 U of Taq DNA polymerase (Promega, Madison, WI, USA).

For each marker analysis, the reverse primers were unlabeled to reduce the cost, and the forward primers were labeled with either 6FAM, PET, NED or Hex (Applied Biosystems, Foster City, CA, USA or Integrated DNA Technologies, Coralville, IA, USA). DNA were amplified with MJ Research Tetrad PCR machines (Waltham, MA, USA) under the following conditions: initial denaturation at 94°C for 5 min; then 30 cycles at 94°C for 30 s, 55–67°C (varies dependent on marker) for 30 s, and 72°C for 1 min; 5 min final extension at 72°C. PCR products were pooled based on size of amplified fragments (typically three markers per run along with LIZ-labeled size standard) to reduce cost, and the DNA was denatured by heating samples at 94°C for 5 min. The samples were separated on an ABI Prism 3730 DNA analyzer using the method as described by the manufacturer (Applied Biosystems). SSR fragment size was estimated using the software GeneMapper v 3.7 (Applied Biosystems).

Blast Evaluation and Marker for Pi-ta Mediated Blast Resistance

Disease reaction to blast was determined using a modified standard pathogenicity assay as previously described in Jia et al [45]. Specifically, rice seedlings at 3–4 leaf stage in a plastic bag were spray-inoculated with blast spore suspension at 1–5×105 spores/ML. After inoculation plastic bags were sealed to maintain high humidity for 24 h before removing out from bags. Subsequently, plants were maintained in a greenhouse for additional 6 days to allow the development of clear disease symptoms. The disease reaction was classified as 0–2 as resistance and 3–5 as susceptibility based on visual number and amount of lesions at the next of youngest leaf. In the K172 population F2∶3 progeny were also used to verify blast reactions [13] and marker segregation. SSR marker RM27941 in Katy was found to co-segregate perfectly with blast resistance [X. Wang and Y. Jia, (unpublished data)]. RM27941 was used as a marker for Pi-ta mediated blast resistance in the present study.

Construction of Linkage Maps

JoinMap Version 4.0 was used for linkage analysis [47]. A minimum LOD score of 3.0 was used to identify groups and maps were generated using Maximum likelihood mapping with default settings. The order of the markers on each chromosome was referred to the SSR marker database of Cornell SSR 2001 (Cornell2001) as described in Gramene, and by Conaway-Bormanset et al [48] and Jia et al [23]. SSR marker data were converted for JoinMap and are summarized in the (Table S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, Table S11).

Supporting Information

Table S1

Note to mapping population.

(DOCX)

Table S2

Mapping profile for Early Katy mapping population for JoinMap.

(XLS)

Table S3

SSR marker file for Early and Katy mapping population.

(XLSX)

Table S4

Mapping profile for LJ mapping population for JoinMap.

(XLS)

Table S5

SSR marker file for LJ mapping population.

(XLS)

Table S6

Mapping profile for Cocodrie and MCR mapping population for JoinMap.

(XLS)

Table S7

SSR marker file for Cocodrie and MCR mapping population.

(XLS)

Table S8

Mapping profile for Katy and172 mapping population for JoinMap.

(XLS)

Table S9

SSR marker file for Katy and 172 mapping population.

(XLS)

Table S10

Mapping profile for KZ mapping population for JoinMap.

(XLS)

Table S11

SSR marker file for Zhe733 and Katy mapping population.

(XLS)

Acknowledgments

The authors thank Michael Lin for developing mapping populations and growing plants in the greenhouse and Eric Green for assisting SSR marker analysis and for other mapping populations that was distributed through GSOR. USDA is an equal opportunity provider and employer.

Funding Statement

Financial supports of National Natural Science Foundation of China (Grant No. 31000847) and of Science and Technology Department of Zhejiang Province (Grant No. 2011R10038) to XW are also acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1

Note to mapping population.

(DOCX)

Table S2

Mapping profile for Early Katy mapping population for JoinMap.

(XLS)

Table S3

SSR marker file for Early and Katy mapping population.

(XLSX)

Table S4

Mapping profile for LJ mapping population for JoinMap.

(XLS)

Table S5

SSR marker file for LJ mapping population.

(XLS)

Table S6

Mapping profile for Cocodrie and MCR mapping population for JoinMap.

(XLS)

Table S7

SSR marker file for Cocodrie and MCR mapping population.

(XLS)

Table S8

Mapping profile for Katy and172 mapping population for JoinMap.

(XLS)

Table S9

SSR marker file for Katy and 172 mapping population.

(XLS)

Table S10

Mapping profile for KZ mapping population for JoinMap.

(XLS)

Table S11

SSR marker file for Zhe733 and Katy mapping population.

(XLS)


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