- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
International Journal of Plant Genomics
Volume 2012 (2012), Article ID 949038, 9 pages
Molecular Breeding to Improve Salt Tolerance of Rice (Oryza sativa L.) in the Red River Delta of Vietnam
1Agricultural Genetics Institute, Tu Liem, Hanoi, Vietnam
2Graduate School for International Development and Cooperation (IDEC), Hiroshima University, Hiroshima 739-8529, Japan
3International Rice Research Institute, College, Los Baños, Laguna, Philippines
Received 13 July 2012; Revised 13 September 2012; Accepted 14 November 2012
Academic Editor: Akhilesh Kumar Tyagi
Copyright © 2012 Le Hung Linh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Rice is a stable food in Vietnam and plays a key role in the economy of the country. However, the production and the cultivating areas are adversely affected from the threats of devastation caused by the rise of sea level. Using marker-assisted backcrossing (MABC) to develop a new salt tolerance rice cultivar is one of the feasible methods to cope with these devastating changes. To improve rice salt tolerance in BT7 cultivar, FL478 was used as a donor parent to introgress the Saltol QTL conferring salt tolerance into BT7. Three backcrosses were conducted and successfully transferred positive alleles of Saltol from FL478 into BT7. The plants numbers IL-30 and IL-32 in BC3F1 population expected recurrent genome recovery of up to 99.2% and 100%, respectively. These selected lines that carried the Saltol alleles were screened in field for their agronomic traits. All improved lines had Saltol allele similar to the donor parent FL478, whereas their agronomic performances were the same as the original BT7. We show here the success of improving rice salt tolerance by MABC and the high efficiency of selection in early generations. In the present study, MABC has accelerated the development of superior qualities in the genetic background of BT7.
Salinity is one of the major impediments to enhancing production in rice growing areas worldwide. One-fifth of irrigated arable lands in the world has been reported to be adversely influenced by high soil salinity . As per the report of FAO, 2010 , over 800 million ha of worldwide land are severely salt affected and approximately 20% of irrigated areas (about 45 million ha) are estimated to suffer from salinization problems by various degrees. This is more serious since irrigated areas are responsible for one-third of world’s food production. In Asia, 21.5 million hectares of land areas are affected by salinity and estimated to cause the loss of up to 50% fertile land by the 21st midcentury .
Rice is the most important food crop for over half of the world’s population and supplies 20% of daily calories . Rice is a major crop in Vietnam, as the world’s second-largest rice exporter after Thailand, together accounting for 50% of the world rice trade. Vast portions of the food producing regions in the country will be inundated by sea water, expected to be at about 19.0% −37.8% of the Mekong River Delta (MRD) and about 1.5% −11.2% of the Red River Delta (RRD). With sea level rise by 1 m, approximately 40,000 km2 will be inundated, and salinity intrusion is expected to cover about 71% of the MRD and RRD, together with other coastal regions. Vietnam is formidably dealing with salinity intrusion which is causing adverse influence on 1 million ha, equally with 3% of total Vietnam area . The economic loss by salt intrusion in 2005 was up to 45 million USD, which is equivalent to 1.5% of annual rice productivity in the Mekong Delta . It has a salinity threshold of 3 dS/m, with a 12% reduction in yield per dS/m, beyond this threshold. Therefore, rice yields can be reduced by up to 50% when grown under moderate (6 dS/m) salinity levels . The crop yield reduction in salt soils can be overcome by soil reclamation or by improving salt tolerance in target crops. Therefore, the need for enhancement in salt tolerance in rice is well understood. In the last ten years, a rapid progress has been made towards the development of molecular marker technologies and their application in linkage mapping molecular dissection of the complex agronomical traits and marker-assisted breeding . Rice cultivars grown in saline soil are sensitive at both the vegetative and reproduction stages. However, salinity tolerance at different growth stages seems to be managed by independent genes. Saltol is a major quantitative trait locus (QTL) and was identified in the salt-tolerant cultivar Pokkali. Its location was detected on chromosome 1. This QTL confers salinity tolerance at the vegetative stage and explains from 64% to 80% of the phenotypic variance . Several studies reported that this QTL was detected in some other rice varieties [7, 10].
The basis of MABC strategy is to transfer a specific allele at the target locus from a donor line to a recipient line while selecting against donor introgressions across the rest of the genomes . The use of molecular markers, which permit the genetic dissection of the progeny at each generation, increases the speed of the selection process, thus increasing genetic gain per unit time . The main advantages of MABC are (1) efficient foreground selection for the target locus, (2) efficient background selection for the recurrent parent genome, (3) minimization of linkage drag surrounding the locus being introgressed, and (4) rapid breeding of new genotypes with favorable traits. The effectiveness of MABC depends on the availability of closely linked markers and/or franking markers for the target locus, the size of the population, the number of backcrosses, and the position and number of markers for background selection . MABC has previously been used in rice breeding to incorporate the bacterial blight resistance gene Xa21 [14, 15] and waxy gene  into elite cultivars. The availability of the large-effect QTL Saltol for salinity tolerance in rice, a theoretical framework for MABC, and the existence of intolerant varieties that are widely accepted by farmers provided an opportunity to develop cultivars that would be suitable for larger areas of submergence-prone rice . Molecular breeding technologies have been widely applied in countries all over the world. It provides powerful tool for development of stress tolerant varieties that can deal with the adverse effects from climate change. However, application of molecular breeding as MABC has just initiated sporadically in Vietnam. Hence, the attempt of this study was to develop a salinity-tolerant version of the widely grown BT7 by applying the MABC method. The improved cultivar may be useful for growing in the soil salinity of the coastal areas of Vietnamese Deltas.
2. Materials and Methods
2.1. Plant Materials and Crossing Scheme
The scheme for constructing the plant materials used in this study is summarized in Figure 1. A highly-salt tolerant FL478 (IR 66946-3R-178-1-1) was used as the donor of Saltol QTLs, whereas BT7 (O. sativa spp. indica), a popular growing Vietnamese elite cultivar with high quality and popularly grown in the Red River Delta of Vietnam, was used as the recipient parent. A total of 477 SSR markers distributed in the 12 chromosomes including foreground, recombinant, and background markers were screened. For the MABC scheme, BT7 was crossed with FL478 to obtain F1 seeds (Figure 1). F1s were backcrossed with BT7 to obtain a large number of BC1F1 seeds. In the BC1F1 generation, individual plants that were heterozygous at the Saltol locus were identified reducing the population size for further screening (foreground selection). From the individual plants that were heterozygous for Saltol, those that were homozygous for the recipient allele at one marker locus (RM10825) distally franking the Saltol locus (i.e., recombinant) were identified. We termed this as “recombinant selection” . Some used markers are shown in detail in Table 1. From these recombinant plants, individuals with the fewest number of markers from the donor genome were selected (background selection). In the second and third BC generations, the same strategy was followed for selection of individual plants with the desired allele combination at the target loci including selection for recombinants between Saltol and the nearest proximal marker locus (RM10694) and suitable genomic composition at the nontarget loci and crossed with the recipient parent to develop the next generation. The selected BC2 and BC3 plants were self-pollinated for further analyses.
2.2. Molecular Marker Analysis
DNA was extracted from juvenile leaves of 2-week-old plants using a modified protocol as described by Zheng et al. (1995) . PCR was performed in 10 μL reactions containing 5–25 ng of DNA template, 1 μL 10X TB buffer (containing 200 mM Tris-HCl pH 8.3, 500 mM KCl, 15 mM MgCl2), 1 μL of 1 mM dNTP, 0.50 μL each of 5 μM forward and reverse primers, and 0.25 μL of Taq DNA polymerase (4 U/μL) using an MJ Research single or dual 96-well thermal cycler. After initial denaturation for 5 min at 94°C, each cycle comprised 1 min denaturation at 94°C, 1 min annealing at 55°C, and 2 min extension at 72°C with a final extension for 5 min at 72°C at the end of 35 cycles. The PCR products were mixed with bromophenol blue gel loading dye and were analyzed by electrophoresis on 8% polyacrylamide gel using mini vertical polyacrylamide gels for high throughput manual genotyping (CBS Scientific Co. Inc., CA, USA). The gels were stained in 0.5 mg/mL ethidium bromide and were documented using Alpha Imager 1220 (Alpha Innotech, CA, USA). Microsatellite or simple sequence repeat (SSR) markers was used for selection .
2.3. Foreground and Recombinant Selection
At the initial stages of the experiment, for selection of the Saltol locus (foreground), the reported rice microsatellite (RM) markers RM493 and RM3412b, which were found to be tightly linked to Saltol, were used for foreground selection. For franking markers used for recombinant selection, about 5 Mb region of the Saltol region was targeted. Four polymorphic microsatellite markers (RM1287, RM10694, RM562, and RM7075) were identified for recombinant selection (Table 1, Figure 2).
2.4. Background Selection
Microsatellite markers unlinked to Saltol covering all the chromosomes including the Saltol carrier chromosome 1, that were polymorphic between the two parents, were used for background selection to recover the recipient genome (Figure 3). Based on the polymorphic information, initially evenly spaced microsatellite markers were selected per chromosome. At least four polymorphic microsatellite markers per chromosome were used. The microsatellite markers that revealed fixed (homozygous) alleles at nontarget loci at one generation were not screened at the next BC generation. Only those markers that were not fixed for the recurrent parent allele were analyzed in the following generations. For the selected plants from BC2F1 and BC3F1, an additional 84 microsatellite markers were used to check the fixation of the recipient genome.
2.5. Screening for Agronomic Traits
The BC3F1 plants with the parents BT7 and FL478 were grown in a field at the Thanh Tri, Hanoi, Vietnam. The plants were laid in a 20 × 15 cm distance and evaluated for 12 traits: (1) days to heading (dth) were evaluated as the number of days from sowing until the panicle headed; (2) plant height (ph) was measured in centimeters from the soil surface to the tip of the tallest panicle (awns excluded); (3) panicle length (pl) was measured in centimeters from the neck to the panicle tip; (4) panicle number (pn) was calculated as the number of panicles per plant; (5) 1,000 seed weight (tsw) was measured in grams as the weight of 1,000 fully filled seeds per plant; (6) primary branch number (pb) was estimated as the number of primary branches per panicle; (7) secondary branch number (sb) was estimated as the number of secondary branch per panicle; (8) seed per panicle (sp) was calculated as the number of fully filled seed per panicle; (9) spikelets per panicle (spp) were calculated as the number of spikelets per panicle.
2.6. Statistical Analyses
The molecular weights of the different alleles were calculated by Alpha Ease Fc 5.0 software. The marker data was analyzed using the software Graphical Genotyper . The homozygous recipient allele, homozygous dominant allele, and heterozygous allele were scored as “A,” “B,” and “H,” respectively. The percentage of markers homozygous for recipient parent (%A) and the percent recipient alleles including heterozygous plants (%R) were calculated. All experimental analyses of the agronomic traits were performed in a completely randomized design at least thrice. Data were analyzed with the use of the Duncan’s multiple-range test ().
3.1. Foreground and Recombinant Selections
As, the obtained result from screening of 30 SSR markers at the target region on chromosome 1 for polymorphic markers, ten markers showed polymorphics between the parents. Two markers, namely, RM493 and RM3412b, tightly linked to Saltol, and four markers RM1287, RM562, RM3252, and RM490 were detected for foreground and recombinant selection, respectively. In each backcross generation (BC1F1-BC3F1), the target locus Saltol was monitored by markers linked to the Saltol genes. Individual BCnF1 plants were first selected based on the heterozygous nature of all the target loci at Saltol region. Only a few of such selected individuals that had the least donor alleles of the background markers were chosen to be backcrossed with BT7. In advanced backcrosses and selfed generations, polymorphic markers RM493 and RM3412b tightly linked with Saltol were used to screen.
Four polymorphic markers between BT7 and FL478 at target region were used to screen individual BC1F1 plants. In conjunction with background selection, the Saltol is on chromosome 1 of few selected individuals, including plants number 1, 7, 8 and 26 in BC2F1, whereas the plants numbers 10, 14, 30, 41, and 359 in BC3F1 were characterized with two markers for foreground selection (RM493 and RM3412b). When the selected plants of BC3F1 (plants number 10, 30, 32, and 359) were screened with these two markers, the alleles of markers from RM3412 (12597139 bp) through RM493 (13376867 bp) were of the donor (FL478) type, and the alleles of all the remaining markers from RM1287 (11836436 bp) to RM562 (16232926 bp) onwards were of BT7, indicating that these plants were single recombinants.
3.2. Background Selection
A total of 477 SSR markers were screened for polymorphism between BT7 and FL478. Among them, 89 (18.7%) markers showed polymorphisms on 4% polyacrylamide between the parents. The 89 polymorphic markers were used for background selection. The results for polymorphism by SSR marker analysis are diagrammed in Figure 3. In BC1F1, A total of 30 microsatellite markers were used for background selection in 25 BC1F1 plants resulting from foreground and recombinant selection (Figures 1 and 2). Based on the foreground and background selection, two selected BC1F1 plants (nos. 7 and 13) were developed BC2F1 populations. In the BC2F1 population, 43 polymorphic markers were used for background selection in 19 BC2F1 plants resulting from foreground and recombinant selection plants nos. 21 and 41. For plant no. 21 chromosomes 5 and 8 were of complete recipient types. In this experiment, the background analysis of BC3F1 revealed the recurrent genome recovery of up to 100% at which individual lines were ranging from 81% to 100% as shown in Figure 4. The recurrent genome recovered in the plants no.s IL-30 and IL-32 is expected to be 99.2% and 100%, respectively (Figures 4 and 5).
Table 2 showed the agronomic traits in field screening of the IL to compare with the BT7. In general, there is no significant difference between the morphological traits of IL and BT7. However, the plant height (PH) of IL-30 and IL-32 was 4-5 cm higher than that of BT7. The agronomic traits including day to heading (DTH) and secondary plant number (SP) were similar to those of the recurrent parent, BT7 (Table 2). Moreover, the other traits such as panicle length (PL), panicle number (PN), primary plant number (PN), seed per panicle (SP), spikelets per panicle (spp.), and grain yield, 1.000-grain weight of each the selected lines was almost the same as those of BT7 (Table 2).
Climate change is causing negative impacts on rice production, which is the most important crop in Vietnam, and its production is mostly confined to the most vulnerable coastal regions. Climate change is severely aggravating the adverse impacts of abiotic stresses on rice production. Most of the rice production lands in coastal areas are already being affected by the rising sea level, increasing the incidences of salinity. However, salt stress problems in field crops can effectively be mitigated through the use of tolerant rice varieties and proper management and mitigation strategies. It is imperative to develop salt tolerance rice cultivars with high yield potential and grain quality using modern tools of biotechnology. However, it is often difficult to incorporate salt tolerance genes into high yielding varieties by conventional breeding methods due to the unexpected linkage drag encountered in the progenies, which affects yield and grain quality characteristics of rice cultivars [23, 24]. Applying molecular breeding has just initiated in some recent years. Lang et al.  applied marker-assisted selection (MAS) to improve salt tolerance in OMCS2000 rice cultivar, a widely grown cultivar in North Vietnam. Current efforts in various institutions in Vietnam are directed towards marker-assisted backcrossing strategy to introgress the favourable alleles for salinity tolerance QTLs into elite rice line which could considerably minimize breeding time as well as make arduous screening unnecessary [25, 26].
It is also challenging to achieve a definite goal of salt tolerance using conventional breeding strategies when the target gene is linked with an unfavorable dominant gene . Nevertheless, since markers have been found as linked to some the specific traits of interest and used as the tools of biotechnology, it is plausible to transfer valuable genes of salt tolerance stresses in rice without linkage drag . In this study, BT7 was selected as the recipient parent because it is good quality rice and always gives high profit for milled rice.
Our study focuses on combining the useful agronomic traits of BT7 with Saltol QTL/gen, which attached salt tolerance in backcross breeding lines by conversion to the recurrent parent genotype using molecular genotyping with SSR markers. We successfully transferred the Saltol from donor line FL478 into BT7. The Saltol gene was identified in an introgression line, highly salt-tolerant FL478 (IR 66946-3R-178-1-1), which inherited the gene from the Pokkali .
Here, we used the MABC breeding method to transfer the Saltol gene into a popular cultivar by phenotype and genotype selection. Using SSR markers (RM493 and RM3412b) the Saltol gene ensured efficient foreground selection. The codominant nature of SSR markers could be very useful in addition to gene-based markers for the introgression of the Saltol locus into a wide range of recipient elite cultivars. The selfed progenies or recombinant homozygote plants in the target region were selected from 300 to 478 plants for each backcrossing generation with foreground selection. Our results demonstrate that a major salt tolerance gene (Saltol) from the donor parent FL478 was successfully transferred into the BT7 genetic background and expressed similar phenotypic characteristics when compared with BT7.
We have developed a salt tolerance of BT7 variety by using marker-assisted backcross, which was controlled by a major Saltol QTL. The recovery of the recurrent parent genome by molecular genotyping and selection could increase the efficiency of the MABC strategy, and this was achievable in a short span of time. This study could have a good impact on rice breeding, and it is applicable for the introduction of important agronomic traits into the genomes of popular rice cultivars.
|PCR:||Polymerase chain reaction|
|SSR:||Simple sequence repeat marker|
|QTL:||Quantitative trait loci.|
This work has been supported by DANIDA (project code: 09-P01-VIE). The authors would like to thank the staff and students at Vietnam Agricultural Genetics Institute for field work. Thanks also go to the staff of the International Rice Research Institute (IRRI) for their technical aids.
- S. Negrão, B. Courtois, N. Ahmadi, I. Abreu, N. Saibo, and M. M. Oliveira, “Recent updates on salinity stress in rice: from physiological to molecular responses,” Critical Reviews in Plant Sciences, vol. 30, no. 4, pp. 329–377, 2011.
- Food and Agriculture Organization, “Report of salt affected agriculture,” 2010, http://www.fao.org/ag/agl/agll/spush/.
- R. Nazar, N. Iqbal, A. Masood, S. Syeed, and N. A. Khan, “Understanding the significance of sulfur in improving salinity tolerance in plants,” Environmental and Experimental Botany, vol. 70, no. 2-3, pp. 80–87, 2011.
- World Rice Statistics, http://www.irri.org.
- M. H. Nguyen, P. V. Thu, and N. T. Cuong, “Evaluating arable soil composition in order to well manage the soil resource of Vietnam,” in Proceedings of the 9th Workshop of Vietnam Institute of Meteorology Hydrology and Environment, vol. 9, pp. 437–442, Vietnam, 2006.
- Ministry of Agriculture and Rural Development, “Vietnam News Agency,” 2005.
- Z. H. Ren, J. P. Gao, L. G. Li et al., “A rice quantitative trait locus for salt tolerance encodes a sodium transporter,” Nature Genetics, vol. 37, no. 10, pp. 1141–1146, 2005.
- D. Singh, A. Kumar, A. S. Kumar, et al., “Marker assisted selection and crop management for salt tolerance: a review,” African Journal Biotechnology, vol. 10, no. 66, pp. 14694–14698, 2011.
- P. Bonilla, J. Dvorak, D. Mackill, K. Deal, and G. Gregorio, “RFLP and SSLP mapping of salinity tolerance genes in chromosome 1 of rice (Oryza sativa L.) using recombinant inbred lines,” Philippine Agricultural Scientist, vol. 65, no. 1, pp. 68–76, 2002.
- H. Takehisa, T. Shimodate, Y. Fukuta et al., “Identification of quantitative trait loci for plant growth of rice in paddy field flooded with salt water,” Field Crops Research, vol. 89, no. 1, pp. 85–95, 2004.
- C. N. Neeraja, R. Maghirang-Rodriguez, A. Pamplona et al., “A marker-assisted backcross approach for developing submergence-tolerant rice cultivars,” Theoretical and Applied Genetics, vol. 115, no. 6, pp. 767–776, 2007.
- F. Hospital, “Marker-assisted breeding,” in Plant Molecular Breeding, H. J. Newbury, Ed., pp. 30–59, Blackwell Publishing, Oxford, UK, 2003.
- M. Frisch and A. E. Melchinger, “Selection theory for marker-assisted backcrossing,” Genetics, vol. 170, no. 2, pp. 909–917, 2005.
- S. Chen, X. H. Lin, C. G. Xu, and Q. Zhang, “Improvement of bacterial blight resistance of 'Minghui 63', an elite restorer line of hybrid rice, by molecular marker-assisted selection,” Crop Science, vol. 40, no. 1, pp. 239–244, 2000.
- S. Chen, C. G. Xu, X. H. Lin, and Q. Zhang, “Improving bacterial blight resistance of '6078', an elite restorer line of hybrid rice, by molecular marker-assisted selection,” Plant Breeding, vol. 120, no. 2, pp. 133–137, 2001.
- P. H. Zhou, Y. F. Tan, Y. Q. He, C. G. Xu, and Q. Zhang, “Simultaneous improvement for four quality traits of Zhenshan 97, an elite parent of hybrid rice, by molecular marker-assisted selection,” Theoretical and Applied Genetics, vol. 106, no. 2, pp. 326–331, 2003.
- D. J. Mackill, “Breeding for resistance to abiotic stresses in rice: the value of quantitative trait loci,” in Plant Breeding, K. R. Lamkey and M. Lee, Eds., pp. 201–212, Blackwell Publishing, Ames, Iowa, 2006.
- B. C. Y. Collard and D. J. Mackill, “Marker-assisted selection: an approach for precision plant breeding in the twenty-first century,” Philosophical Transactions of the Royal Society B, vol. 363, no. 1491, pp. 557–572, 2008.
- K. Zheng, P. K. Subudhi, J. Domingo, G. Magpantay, and N. Huang, “Rapid DNA isolation for marker assisted selection in rice breeding,” Rice Genetics News Letter, vol. 12, pp. 255–258, 1995.
- S. R. McCouch, L. Teytelman, Y. Xu et al., “Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.),” DNA Research, vol. 9, no. 6, pp. 199–207, 2002.
- SSR Marker, 2011, http://www.gramene.org/.
- R. Van Berloo, “GGT 2.0: versatile software for visualization and analysis of genetic data,” Journal of Heredity, vol. 99, no. 2, pp. 232–236, 2008.
- J. U. Jeung, H. G. Hwang, H. P. Moon, and K. K. Jena, “Fingerprinting temperate japonica and tropical indica rice genotypes by comparative analysis of DNA markers,” Euphytica, vol. 146, no. 3, pp. 239–251, 2005.
- U. S. Yeo and J. K. Shon, “Linkage analysis between some agronomic traits and resistance gene to brown planthopper in rice,” Korean Journal in Plant Breeding, vol. 33, no. 4, pp. 287–293, 2001.
- N. T. Lang, B. C. Buu, and A. M. Ismail, “Molecular mapping and marker assisted selection for salt tolerance in rice (Oryza sativa L.),” Omonrice, vol. 16, pp. 50–56, 2008.
- C. M. F. Elahi, Z. I. Seraj, N. M. Rasul et al., “Breeding rice for salinity tolerance using the Pokkali allele: finding a linked marker,” in In Vitro Culture, TransFormation and Molecular Markers for Crop Improvement, A. S. Islam, Ed., pp. 157–169, Science Publisher, NH, USA, 2004.
- J. Jairin, S. Teangdeerith, P. Leelagud et al., “Development of rice introgression lines with brown planthopper resistance and KDML105 grain quality characteristics through marker-assisted selection,” Field Crops Research, vol. 110, no. 3, pp. 263–271, 2009.
- D. J. Mackill, “Molecular markers and marker-assisted selection in rice,” in Genomic Assisted Crop Improvement, Genomics Applications in Crops, R. K. Varshney and R. Tuberosa, Eds., vol. 2, pp. 147–169, Springer, New York, NY, USA, 2007.
- M. J. Thomson, M. de Ocampo, J. Egdane et al., “Characterizing the saltol quantitative trait locus for salinity tolerance in rice,” Rice, pp. 1–13, 2010.