Marker-Assisted Introgression of <i>Saltol</i> QTL Enhances Seedling Stage Salt Tolerance in the Rice Variety “Pusa Basmati 1”

Singh, Vivek Kumar; Singh, Brahma Deo; Kumar, Amit; Maurya, Sadhna; Krishnan, Subbaiyan Gopala; Vinod, Kunnummal Kurungara; Singh, Madan Pal; Ellur, Ranjith Kumar; Bhowmick, Prolay Kumar; Singh, Ashok Kumar

doi:https://doi.org/10.1155/2018/8319879

International Journal of Genomics

On this page

Abstract Introduction Materials and Methods Results Discussion Conclusions Conflicts of Interest Authors’ Contributions Acknowledgments Supplementary Materials References Copyright Related Articles

Research Article | Open Access

Volume 2018 | Article ID 8319879 | https://doi.org/10.1155/2018/8319879

Marker-Assisted Introgression of Saltol QTL Enhances Seedling Stage Salt Tolerance in the Rice Variety “Pusa Basmati 1”

Vivek Kumar Singh,¹Brahma Deo Singh,²Amit Kumar,¹Sadhna Maurya,³Subbaiyan Gopala Krishnan,¹Kunnummal Kurungara Vinod,⁴Madan Pal Singh,³Ranjith Kumar Ellur,¹Prolay Kumar Bhowmick,¹and Ashok Kumar Singh¹

Academic Editor: Gunvant B. Patil

Received29 Aug 2017

Revised14 Nov 2017

Accepted28 Nov 2017

Published11 Feb 2018

Abstract

Marker-assisted selection is an unequivocal translational research tool for crop improvement in the genomics era. Pusa Basmati 1 (PB1) is an elite Indian Basmati rice cultivar sensitive to salinity. Here, we report enhanced seedling stage salt tolerance in improved PB1 genotypes developed through marker-assisted transfer of a major QTL, Saltol. A highly salt tolerant line, FL478, was used as the Saltol donor. Parental polymorphism survey using 456 microsatellite (SSR)/QTL-linked markers revealed 14.3% polymorphism between PB1 and FL478. Foreground selection was carried out using three Saltol-linked polymorphic SSR markers RM8094, RM493, and RM10793 and background selection by 62 genome-wide polymorphic SSR markers. In every backcross generation, foreground selection was restricted to the triple heterozygotes of foreground markers, which was followed by phenotypic and background selections. Twenty-four near isogenic lines (NILs), with recurrent parent genome recovery of 96.0–98.4%, were selected after two backcrosses followed by three selfing generations. NILs exhibited agronomic traits similar to those of PB1 and additional improvement in the seedling stage salt tolerance. They are being tested for per se performance under salt-affected locations for release as commercial varieties. These NILs appear promising for enhancing rice production in salinity-affected pockets of Basmati Geographical Indication (GI) areas of India.

1. Introduction

Rice plants suffer severe salt injury in both seedling and reproductive stages; the most common damages are attributed to osmotic imbalance, membrane destabilisation, and failure of photosynthetic machinery [1]. The damage due to salt stress is often cumulative as the seedling stage sensitivity leads to poor crop establishment, and reproductive stage sensitivity results in reduced yields [2]; the combined effect of damages at both the stages may lead to total crop loss. Nevertheless, seedling stage tolerance can sustain crop production in salinity prone areas by promoting good initial establishment leading to healthy vegetative growth that can augment crop yield [3]. There are some saline ecosystem-adapted traditional rice landraces such as Pokkali and Nona Bokra that are known to be salt tolerant. Salt tolerance in rice is manifested through morphological, physiological, and metabolic responses that includes stomatal changes, sodium exclusion, tissue tolerance, apoplastic salt compartmentalization, salt sequestration into older tissues, and regulation of the antioxidants [2–5]. Apart from the understanding of physiological and metabolic responses to salt stress, quantitative trait loci (QTLs) and genes governing salt tolerance have also been reported in rice. These include a major QTL, Saltol identified on chromosome 1 of Pokkali, and SKC1 (OsHKT1;5), a gene located within the Saltol region identified from Nona Bokra. The QTL Saltol imparts salt tolerance by regulating Na⁺/K⁺ homeostasis under salt stress [6–9].

In India, of the estimated area of 7.0 million ha (mha) occupied by saline soils, a sizeable fraction occurs in the Indo-Gangetic plains covering the states of Haryana, Punjab, Uttar Pradesh, Rajasthan, and Bihar [10]. Basmati rice is exclusively grown in an area of over 1.68 mha spanning the Indo-Gangetic plains; this region is recognised as its Geographical Indication (GI) area [11–14]. In recent times, soil salinity has become a major problem affecting Basmati rice cultivation, especially in the state of Haryana [11]. Haryana has about 1.0 mha under Basmati rice, majority of which is threatened by inland salinity resulting from the continuous use of brackish irrigation water [12]. None of the popular Basmati cultivars is reported to be tolerant to salt stress.

Basmati rice is preferred globally for its aromatic grains with unparalleled cooking qualities [11] such as extra-long slender grains, rich aroma, white kernels, translucent endosperm, high cooking elongation, fluffy cooked kernels, good palatability, and medium amylose content. Commercially released in 1989 by ICAR-Indian Agricultural Research Institute (ICAR-IARI), Pusa Basmati 1 (PB1) is the first semidwarf and high-yielding Basmati variety in the world. The release of PB1 revolutionized Basmati rice production in India, because of several advantages over the traditional Basmati cultivars: (a) It had an average yield of more than 4.5 t/ha, as against the low average yield of 2.5 t/ha for the traditional cultivars; (b) PB1 was shorter with robust plant stature, and (c) PB1 matured faster than the late and photosensitive traditional Basmati cultivars [15, 16]. Soon after the release, PB1 got established as a premium cultivar and was extensively cultivated. Twenty-eight years after its commercial release, even today, PB1 is cultivated in about 0.16 mha (~10% of the total Basmati area) in India. It is used extensively in Basmati rice improvement programmes as donor for quality traits as well as high yield. However, PB1 is sensitive to several biotic stresses such as diseases (bacterial blight, blast, sheath blight, and bakanae) and pests (brown plant hopper) and also to abiotic stresses, such as soil salinity and drought. PB1 has been improved for resistance to bacterial blight [17], blast [18], and sheath blight [19] using molecular markers as indirect selection tools, but improvement of salinity tolerance of PB1 is yet to be achieved.

In recent times, marker-aided selection (MAS) has been widely acclaimed as the most effective method of transferring desirable traits [1, 8, 20–22] in rice, including salinity tolerance. The conventional breeding efforts for salinity tolerance in rice had limited success, possibly due to their long turnover time, cumbersome screening procedures, and complex genetic control of the trait [1]. For transferring seedling stage salt tolerance, Saltol QTL is the only best-known target locus that is amenable to MAS. As the donor for Saltol, FL478 (IR 66946-3R-178-1-1), a highly salt tolerant RIL derived from the cross IR29/Pokkali, has been successfully deployed in breeding programmes in many countries. The SSR markers RM3412, AP3206, and RM8094 are used for transfer of Saltol [11, 23–26]. Since grain quality traits are of paramount importance, MAS in Basmati rice needs special attention, especially when the transferred gene(s)/QTL(s) are sourced from non-Basmati donors [27, 28]. The Saltol donor, FL478, is a non-Basmati line that has grain characteristics such as medium bold shape, red pericarp, chalky endosperm, no aroma, high amylose content, and low gel consistency. The recovery of grain quality is achieved by integrating phenotypic selection for these traits, in every MAS stage [11].

In this paper, we report marker-aided introgression of the QTL Saltol from FL478 into PB1 and the resulting improvement in seedling stage salt tolerance of the PB1 near isogenic lines (NILs). Other agronomic features and grain quality of the NILs were comparable to those of the recurrent parent, PB1.

2. Materials and Methods

2.1. Plant Materials

The parents used in the present study were (a) PB1, as the recurrent parent (RP), and (b) FL478, as the donor parent for Saltol. FL478 is a breeding line with very high level of seedling stage salt tolerance; it can endure salt solutions with electrical conductivity (EC) of up to 15 dSm⁻¹ for more than a fortnight. Both the parents were first evaluated for tolerance to 100 mM NaCl solution (EC of 11.6 dSm⁻¹) at seedling stage to validate their salt tolerance levels before initiating the crossing programme. Salt tolerance was scored using the standard evaluation system (SES) for rice developed by the International Rice Research Institute, Manila, Philippines [29, 30]. In the pre-screening, the recurrent parent, PB1, was found highly sensitive to salt stress and recorded a score of nine, while the donor parent, FL478, was tolerant and recorded a score of one (Supplementary Figure 1). Crosses were made at IARI-Rice Breeding and Genetics Research Centre, Aduthurai, Tamil Nadu (IARI-RBGRC), and subsequent generations were shuttled between the ICAR-IARI, New Delhi, during Kharif season and IARI-RBGRC during off-season.

2.2. Breeding Strategy

PB1 was crossed as the female parent with FL478, and the hybridity of the F₁ plants was confirmed using the SSR marker, RM493. The confirmed F₁s were backcrossed to PB1 (always used as the female parent in backcrosses) to generate the BC₁F₁ seeds. The plant selected in F₁ was designated as Pusa 1822; the lines derived from the backcross programme (Figure 1) carried the designation as the prefix, for example, Pusa 1822-6-14-9. The parental lines were screened for polymorphism at the target QTL locus using twenty-one Saltol-linked SSR markers, of which three markers RM8094, RM493, and RM10793 were found to be polymorphic (Supplementary Figure 2); all the three markers were used for foreground selection. Further, the genome-wide polymorphism between the parents was tested using 435 SSR markers, which identified 62 polymorphic markers that were employed for background selection (Supplementary Table 1). In the BC₁F₁ generation, the plants that tested positive for the three markers used for foreground selection were screened with the 62 SSR markers and subjected to phenotypic evaluation for agronomic traits, including grain characteristics. The plant with the highest recurrent parent genome (RPG) recovery, and having most similarity to the RP, was backcrossed to PB1 to produce the BC₂F₁ seeds. The BC₂F₁ plants were handled in the same manner, except for using only those markers for background selection that were heterozygous in BC₁F₁. The selected BC₂F₁ plants were selfed to produce BC₂F₂ generation. Each BC₂F₂ plant was subjected to foreground selection to identify plants homozygous for all the three foreground markers. The selected plants were subjected to background and phenotypic selections, the former to assess the recovery of RPG, using markers that were heterozygous in BC₂F₁, and the later to determine the recovery of Basmati quality traits. The selected BC₂F₂ plants were selfed to raise BC₂F₃ families, which were screened for seedling stage salt tolerance. The family showing the highest level of salt tolerance was transplanted in the field and evaluated for agronomic performance and grain quality. Agronomically superior members of the tolerant family were subjected to foreground screening to confirm the presence of Saltol alleles in homozygous state and background selection based on markers that were heterozygous in BC₂F₂ family to assess further increase in the RPG recovery. The salt tolerant lines were advanced to BC₂F₄ generation.

2.3. Molecular Analyses

Genomic DNA was isolated from young leaves of the test lines when they were about 40 days old using the standard Cetyl Trimethyl Ammonium Bromide protocol [31]. Polymerase chain reaction- (PCR-) based amplification of the target genomic fragments by the primer pairs for each selected marker was performed in a 10 μl reaction mix constituted by adding 25–30 ng genomic DNA, 5 pmol each of the two primers, 0.05 mM each of the four dNTPs, and PCR buffer (10x) containing 10 mM Tris (pH 8.4), 50 mM KCl, and 1.8 mM MgCl₂. To this mix, 0.5 U of Taq DNA polymerase was added, and the volume made up to 10 μl using nuclease free water. The PCR was run for 35 cycles comprising of denaturation for one minute at 94°C, followed by annealing for one minute at 55°C, and primer elongation for two minutes at 72°C, sandwiched between an initial denaturation for five minutes at 94°C and the final extension for seven minutes at 72°C. The amplified products were electrophoresed in 3.5% agarose gel, and the products were visualized using a gel documentation system. The marker segregation data was graphically compiled in each generation using Graphical GenoTypes (GGT) version 2.0 software [32].

2.4. Marker-Aided Selection

Details of three Saltol-linked SSR markers, RM8094, RM493, and RM10793, used for foreground selection such as their physical position on chromosome 1, primer nucleotide sequences, and physical locations within the Saltol QTL are given in Supplementary Table 2. The details of all the genome-wide polymorphic SSR markers used for assessing the background polymorphism were sourced from the rice marker database at Gramene (http://www.gramene.org). In each backcross generation, background selection was done after foreground and phenotypic selections. In the background selection process using 62 polymorphic markers, the number of plants with homozygous alleles similar to PB1 and heterozygotes was counted separately for each marker. A reductionist strategy was followed for background selection; markers that became homozygous for the PB1 allele in a given generation were not included in the assay for the subsequent generations. RPG recovery was computed using following formula:

To ensure maximum recovery of the carrier chromosome of the Saltol QTL, the chromosome 1 was surveyed with 42 evenly distributed SSR markers together with 21 markers linked to the Saltol region. Complete recovery of the chromosome 1 together with Saltol was specifically targeted, while exercising selections for the background genome.

2.5. Screening for Seedling Stage Salt Tolerance

The PB1 NILs homozygous for the Saltol QTL along with the two parents were screened for seedling stage salt tolerance at the National Phytotron Facility, ICAR-IARI, New Delhi. Average day/night temperature of approximately 32/25°C and relative humidity of 70–80% were maintained at the screen house throughout the study period. Polystyrene floats with a 14 × 8 matrix of holes lined with a nylon net at the bottom side, and suspended in plastic crates filled with 10 litres of Yoshida nutrient solution [1, 33], were used for screening. The experiment was set up according to a randomized complete block design with two treatments (0.0 mM as control and 100 mM (EC of 11.6 dSm⁻¹) NaCl for salt stress) and three replications. Each replication comprised two plastic crates, one crate having six plants each of 12 NILs and the parents PB1 and FL478. The parents served as susceptible and salt tolerant checks. Four-day-old pregerminated seeds were surface sterilized using 70% ethanol and 5% sodium hypochlorite for five minutes each, transferred into the holes in the polystyrene floats, and allowed to germinate over the nutrient solution. The seedlings were subjected to salinity stress after 14 days, starting with an EC of 3 dSm⁻¹ by adding 26 mM NaCl concentration in the nutrient solution, and subsequently elevating to 11.6 dSm⁻¹ (100 mM NaCl) three days after. The same volume of deionized water was added in the control set. The nutrient solution was replaced once a week, and its pH was maintained daily at 5.8 (adjusted by adding either 1 N NaOH or HCl). The EC of the nutrient solution was recorded daily. Sixteen days after imposing the full salt stress, the symptoms were scored as per SES for rice [30]. The genotypes showing score of 1–3 were classified as tolerant, those with a score of 5 were moderately tolerant, and those with scores of 7–9 were rated as susceptible.

2.6. Agronomic and Grain Quality Assessment

Agronomic evaluation of the BC₂F₄ NILs along with both the parents was carried out during Kharif 2015 at the research farm of the Division of Genetics, ICAR-IARI, New Delhi, in a field trial laid out in a randomized complete block design with two replications and plot size of 5m². Twenty-five-day-old seedlings were transplanted at a spacing of 20 cm × 15 cm, and the trial was maintained adopting recommended agronomic practices. From each replication, data on various agronomic traits, namely, days to 50% flowering (DFF), plant height (PH), effective tillers per plant (ETP), panicle length (PL), spikelet fertility (SF), weight of 1000 grains (TW), and grain yield per plant (YLD), were recorded from five random plants selected from each entry. The harvested grains from the NILs and their parents were assessed for quality traits like hulling recovery (HUL), milling recovery (MIL), and cooking-related characters, such as kernel length before and after cooking (KLBC and KLAC, resp.), kernel elongation on cooking (ER), alkali spreading value (ASV), and aroma (AROM) as described earlier [34].

2.7. Na⁺ and K⁺ Contents in Shoots and Roots

Since Saltol acts by balancing the Na⁺ and K⁺ ions in the plant system to counter the salt stress, we estimated the cationic concentrations in shoots and roots from the salt-stressed and salt-unstressed plants of the NILs and the parents [35]. The plant samples were prepared by carefully cleaning the shoots and roots and then drying them at 80°C for 24 h. The dried samples were ground to fine powder in a rotary mill. 500 mg of the powder was then digested in 10 ml of diacid digestion mixture (HNO₃ and HClO₄, 9 : 4). The digest was cooled and washed into a volumetric flask, and the volume made up to 50 ml. The mixture was filtered with Whatman number 42 filter paper and analysed for Na⁺ and K⁺ using Systronics Type 128 flame photometer (Systronics India).

2.8. Statistical Analyses

The data were analysed for standard statistical tests using the software package Statistical Tools for Agricultural Research STAR 2.0.1 [36].

3. Results

3.1. Polymorphism between the Parents

Of the 21 Saltol-linked markers tested, three markers, RM8094, RM493 and RM10793, were found polymorphic between the parents. Further, four markers were found polymorphic among the 42 tested on the flanking regions of the Saltol, resulting in a cumulative polymorphism of 11.1% on chromosome 1. Genome-wide polymorphism survey using 435 SSR markers (this included 42 markers tested on chromosome 1) identified a total of 62 polymorphic markers between PB1 and FL478, ranging from 4–7 markers spanned on each chromosome, resulting in an overall polymorphism of 14.7% between the parents (Table 1).

3.2. Development of Near Isogenic Lines by Marker-Assisted Selection

Five out of the 15 F₁ plants from the cross PB1/FL478 were found to be true F₁s as they were heterozygous for the Saltol-linked marker RM493. One of the true F₁ plants was backcrossed with PB1 to produce 20 BC₁F₁ plants. Foreground analysis using the three Saltol-linked markers identified six of the 20 plants to be heterozygous for all the three markers. These six BC₁F₁ plants were phenotypically closer to PB1 than the other plants. Background analysis of these six plants using the 62 SSR markers indicated an average RPG recovery of 75.3% (range, 72.6 to 79.8%). One progeny with the highest RPG recovery (79.8%), Pusa 1822-6, was backcrossed with PB1 to generate 70 BC₂F₁ seeds. In the BC₂F₁ generation, 14 plants were heterozygous for all three Saltol-linked markers; these plants were subjected to phenotypic selection to identify six plants that were phenotypically closer to PB1 for agro-morphological and grain quality traits than the remaining plants. Background analysis of these six plants, using 21 unfixed markers in Pusa 1822-6, indicated RPG recovery from 86.3% to 89.5%, with an average of 87.8%. All the six plants were selfed to generate six BC₂F₂ families. A total of 60 BC₂F₂ plants, 10 plants each from a family, were subjected to foreground selection. Eleven BC₂F₂ plants were found to be homozygous for the three Saltol-linked markers. Background analysis of these plants showed RPG recovery ranging from 89.9 to 92.7% with an average of 91.2%. These plants were further characterised for morphological and grain quality traits. Screening of eleven BC₂F₃ families raised by selfing of the selected BC₂F₂ plants for seedling stage salinity tolerance, identified one family, Pusa 1822-6-14-9, with a salt tolerance level comparable to that of FL478. All the plants of this family from the screening system were field transplanted to raise BC₂F₃ population.

The BC₂F₃ plants from Pusa 1822-6-14-9 were evaluated for both agro-morphological and grain quality traits, and 24 plants were selected for closer similarity with PB1. Background analysis of these plants, using six unfixed markers in the previous generation, indicated a cumulative RPG recovery of 96.0 to 98.4% (Table 2). All the 24 plants were advanced to BC₂F₄ generation by selfing. No selection was done beyond BC₂F₄ as all the Saltol-introgressed PB1 NILs had an average RPG recovery of more than 97%. Some residual donor segments were observed in chromosomes 2, 3, 5, 8, 11, and 12, whereas complete recovery was achieved in chromosomes 1, 6, 7, 9, and 10 (Figure 2). These lines are sequentially identified as NIL1 (Pusa 1822-6-14-9-1) to NIL24 (Pusa 1822-6-14-9-24).

3.3. Seedling Stage Salinity Tolerance

All the 24 NILs showed good seedling stage salinity tolerance (score of 1) comparable to that of FL478 under a salt stress of 11.6 dSm⁻¹ (100 mM of NaCl) for sixteen days. In contrast, PB1 showed a highly sensitive reaction (score of 9) (Table 2; Supplementary Figure 1 [b]). The concentrations of major cations, Na⁺ and K⁺, that influence the salt response in rice seedlings are presented in Table 3. Broadly, there was significant variation among the NILs and their parents for cation contents and their ratios in both shoots and roots under both stressed as well as unstressed conditions. Under unstressed conditions, the root and shoot cation contents of the parental lines were comparable, but there were significant differences between some NILs, and some of them differed significantly from the parents as well. However, under stressed conditions, PB1 and FL478 had significantly distinct cation concentration both in shoots and roots; while the K⁺ levels in the shoots and roots of FL478 were much higher than those in PB1, the Na⁺ content in the shoots of FL478 was significantly lower than PB1, whereas Na⁺ content in the roots of PB1 was lower than FL478. All the NILs showed shoot and root K⁺ levels closer to those of FL478 than to PB1. The root Na⁺ concentration of NILs were closer to that of PB1, but shoot Na⁺ content was comparable or marginally lower than that of FL478. Further, there were several NILs that showed Na⁺/K⁺ ratio lower than that of FL478.

The correlations between cation content in shoots and roots (Table 4) under stressed and nonstressed conditions were insignificant. Under salt stress, salt tolerance score was found to have a significant positive association with shoot Na⁺ content, while shoot K⁺ level showed a negative association. Similar trend was observed for root ion concentrations under stress, except for root Na⁺ content, which exhibited nonsignificant correlation. The ionic proportions had shown very high negative association with salt tolerance score in both shoots and roots.

Correlations among the cation contents in shoots and roots under salt stress, indicated several significant associations such as a positive trend between shoot Na⁺ content and root Na⁺ content (0.38), as well as between shoot K⁺ and root K⁺ contents (0.57). There were no associations between shoot Na⁺ and root K⁺ levels and vice versa. Na⁺ content showed a major positive association with Na⁺/K⁺ ratio in both shoots and roots (0.66 and 0.47, resp.), while the K⁺ content showed significant negative association with the Na⁺/K⁺ ratio (−0.63 and −0.54, resp.). The cation ratios between shoots and roots also showed a positive trend (0.80). Further, cross associations were also noticed for shoot ion concentrations with root cation ratios (0.55 and −0.39, resp., for shoot Na⁺ and K⁺ contents), while root K⁺ showed a negative association with shoot Na⁺/K⁺ ratio (−0.52), but no such association was found with root Na⁺ content. Further, root Na⁺ and K⁺ contents showed a positive association (0.41).

3.4. Agronomic Performance

Mean performance of each of the 24 PB1 NILs for yield and yield-related traits is presented in Table 2. The NILs were essentially comparable to the recurrent parent, PB1, for agronomic traits, such as plant height, panicle length, weight of 1000 grains, and yield per plant. The days to 50% flowering ranged from 95.0 days (NIL19) to 106 days (NIL4, 6, 7, and 22): 23 NILs were at par with PB1 (103 days), while NIL19 was significantly flowering earlier than PB1.

3.5. Grain and Cooking Quality

The mean grain and cooking quality parameters of the NILs are presented in Table 5. Hulling and milling percentages for all the NILs were similar to those of the recurrent parent, PB1. Further, all the NILs possessed extra-long slender grain type (Figure 3) with strong aroma and with low gelatinization temperature as indicated by the alkali spreading value of 7.0, which is the same as that of PB1. Some of the NILs had significantly longer grain length before/after cooking than the RP while few had them significantly shorter, but these differences were rather small (0.15 mm or less).

4. Discussion

Growing demand for Basmati rice has resulted in its increased cultivation in the north-western areas of India [11, 12]. However, soil salinization in these regions poses a major threat to cropping as salinity stress leads to poor crop establishment and survival resulting in significant yield losses. Therefore, it is important to develop salt stress tolerant Basmati cultivars for cultivation in these areas [37]. In the present study, marker-assisted backcross breeding based on the established step-wise selection approach, namely, foreground, phenotypic, and background selections in the given order, was successful in improving the salt tolerance of PB1 Basmati rice variety. Stringent phenotypic selection carried out after the foreground selection is reported to accelerate RP genome recovery process [5, 11, 38, 39] and is expected to reduce the cost of background selection by reducing the number of test plants. It is noteworthy that very high (~96–98%) RPG recovery was achieved with only two backcrosses, and the recovery of the Basmati grain and cooking quality traits was almost complete. Further, there was complete recovery of the carrier chromosome (chromosome 1) together with Saltol, the target QTL (Figure 2; Supplementary Figure 1; Supplementary Table 1); this might have been facilitated by the relatively low level of polymorphism (11.1%) for this chromosome. This indicates the effectiveness of the selection procedure used in the study.

It is pertinent here to mention that PB1 was reported to possess a Saltol haplotype that was different from other Basmati cultivars. The PB1 haplotype shared a close homology with the Saltol locus of FL478, by differing only for three markers RM8094, RM493, and RM10793 [37]. Among these, RM8094 was the only recognised Saltol-linked marker that has been used for marker-assisted breeding, while RM493 and RM10793 were centromeric distal markers [20]. This implied that PB1 Saltol locus was very similar to FL478 locus, except for the region proximal to RM8094 marker locus. Therefore, the contrasting salt stress response between PB1 and FL478 can be arbitrarily assigned to a segment within 10.8 to 11.4 Mbp on chromosome 1. The NILs showed seedling stage salt tolerance levels comparable to that of FL478. Although, there was up to 4% residual donor genome present in some of the NILs, there was little effect of the donor genome on the agronomic performance, except for days to 50% flowering that was significantly lower than PB1 in one of the NILs, Pusa 1822-6-14-9-19.

Inspite of huge strides made in genomics-assisted breeding, development of salt-tolerant rice cultivars continues to be a major challenge due to the complex nature of Saltol region. Although, all the selected eleven BC₂F₂ genotypes possessed the target marker alleles in homozygous condition, they exhibited differential tolerance response ranging from susceptibility to complete tolerant at 11.6 dSm⁻¹ ECE level (Supplementary Table 3). The sensitive response of some BC₂F₂ lines suggests the possibility that some genomic regions of PB1 may harbour genes/QTLs that have inhibitory effect on the Saltol QTL. Another possibility is cryptic intra-Saltol QTL recombination that could not be detected by the three markers used for the foreground selection. It is emphasised that Saltol region is fairly large (having a size of ~1.5Mbp) enough to accede intra-QTL recombination, as evident from its highly fragmented existence in the rice genome [40]. Further, introgression of additional hitherto unidentified QTLs from donor into the salt tolerant NILs cannot be ruled out.

The Saltol QTL region consists of several genes associated with salt response. These include transcription factors, signal transduction components, cell wall components, and membrane transporters [41, 42]. Specific genes, such as Na⁺ transporter gene OsHKT1;5 [20, 43], osmoprotection-associated SalT [44], cation-proton exchanger (OsCHX11), cyclic nucleotide-gated ion channel (OsCNGC1) [45], high affinity potassium transporter (HKT1), and ATP-binding cassette transporter (ABC1) [42, 46], have been recognized in this region. However, since Saltol QTL is associated with Na⁺/K⁺ balance in the shoot tissues, the implicit mechanism of tolerance is attributed to Na⁺/K⁺ homeostasis driven by OsHKT1;5. The OsHKT1;5 gene, also known as SKC1, encodes for a xylem-expressed Na⁺ transporter and acts by preferentially unloading Na⁺ ions from xylem vessels while regulating K⁺ homeostasis [19]. Current observation of absence of any relation between the cation content between stressed and unstressed conditions indicated that ion homeostasis mechanisms might be active only under salt stress. Further, under stress, the shoot cation content outweighed root cation status in determining the salt tolerance, among which Na⁺ content was more deterministic of the level of tolerance than the K⁺ content. This strongly suggested Na⁺ transport as the major mechanism of salt tolerance in Saltol. The shift in Na⁺/K⁺ cation balance in shoot tissues of NILs towards the ratio in the donor parent FL478 tends to support this suggestion. Successful recovery of Basmati grain and cooking quality traits, together with pleasing aroma, were achieved in this study, as in several previous studies [1, 3, 4, 11, 39], in spite of the donor parent having poor grain and cooking quality traits. This was possible solely due to the marker-assisted selection strategy that combined a rigorous phenotypic selection in every generation.

5. Conclusions

In the present investigation, incorporation of seedling stage salinity tolerance in PB1 was achieved by introgression of the Saltol QTL using marker-assisted backcross breeding. The improved lines showed marked enhancement of salt tolerance in seedling stage. Since salt tolerance in Basmati cultivars is absent, the newly developed lines together with Saltol-introgressed NILs of Pusa Basmati 1121, another premium Basmati cultivar [11], will now offer choice of cultivars to be grown in salt-affected soils. Two of the improved NILs, Pusa 1822-6-14-9-11 and Pusa 1822-6-14-9-20 (Figure 3; Supplementary Figure 1 [c]), may be evaluated for their suitability for commercial cultivation and/or in breeding programmes for improving their reproductive stage salt tolerance, since the genetic controls of seedling and reproductive stage salt tolerance are different [47]. Additionally, a comprehensive evaluation of the NILs under salt-affected soil will reveal, other than agronomic performance, physiological improvements such as photosynthetic efficiency gained by incorporation of salt tolerance.

Conflicts of Interest

The authors declare that they have no competing interests.

Authors’ Contributions

Ashok Kumar Singh conceptualised the project; Ashok Kumar Singh, Subbaiyan Gopala Krishnan, and Brahma Deo Singh led the experiment and did the evaluation and midcourse corrections; Vivek Kumar Singh, Amit Kumar, Ranjith Kumar Ellur, Subbaiyan Gopala Krishnan, and Prolay Kumar Bhowmick designed and conducted the field and phytotron experiments; Sadhna Maurya, Madan Pal Singh, and Vivek Kumar Singh did the physiological and biochemical evaluation; Vivek Kumar Singh, Kunnummal Kurungara Vinod, and Subbaiyan Gopala Krishnan did the data curation and analyses; Vivek Kumar Singh, Kunnummal Kurungara Vinod, Subbaiyan Gopala Krishnan, Brahma Deo Singh, and Ashok Kumar Singh wrote the paper. All the authors have read and approved the final manuscript.

Acknowledgments

The senior author acknowledges the help rendered by the technical and supporting staff of the rice section, Division of Genetics, for field work and Division of Soil Science, ICAR-IARI, for biochemical analysis of samples.

Supplementary Materials

Supplementary Table 1: chromosome wise list of polymorphic STMS markers between PB1 and FL478. Supplementary Table 2: information on Saltol-linked SSR markers on chromosome1 polymorphic between PB1 and FL478. Supplementary Table 3: agronomic performance, salt tolerance, and recurrent parent genome recovery of Saltol-positive homozygous BC₂F₂ plants. Supplementary Figure 1: phenotypic evaluation for salt tolerance between parents and introgressed lines with their field view. Supplementary Figure 2: screening of foreground markers in the parental lines. Three markers RM8094, RM493, and RM10793 showed polymorphism between PB1 and FL478. (Supplementary Materials)

References

K. K. Vinod, S. G. Krishnan, N. N. Babu, M. Nagarajan, and A. K. Singh, “Improving salt tolerance in rice: looking beyond the conventional,” in Salt Stress in Plants: Signalling, Omics and Adaptations, P. Ahmad, M. M. Azooz, and M. N. V. Prasad, Eds., pp. 219–260, Springer, New York, 2013.
View at: Publisher Site | Google Scholar
F. Moradi and A. M. Ismail, “Responses of photosynthesis, chlorophyll fluorescence and ROS-scavenging systems to salt stress during seedling and reproductive stages in rice,” Annals of Botany, vol. 99, no. 6, pp. 1161–1173, 2007.
View at: Publisher Site | Google Scholar
T. M. L. Hoang, T. T. Tran, T. K. T. Nguyen et al., “Improvement of salinity stress tolerance in rice: challenges and opportunities,” Agronomy, vol. 6, no. 4, p. 54, 2016.
View at: Publisher Site | Google Scholar
A. R. Yeo and T. J. Flowers, “Salinity resistance in rice (Oryza sativa L.) and a pyramiding approach to breeding varieties for saline soils,” Australian Journal of Plant Physiology, vol. 13, no. 1, pp. 161–174, 1986.
View at: Publisher Site | Google Scholar
A. M. Ismail, S. Heuer, M. J. Thomson, and M. Wissuwa, “Genetic and genomic approaches to develop rice germplasm for problem soils,” Plant Molecular Biology, vol. 65, no. 4, pp. 547–570, 2007.
View at: Publisher Site | Google Scholar
H. X. Lin, M. Z. Zhu, M. Yano et al., “QTLs for Na⁺ and K⁺ uptake of the shoots and roots controlling rice salt tolerance,” Theoretical and Applied Genetics, vol. 108, no. 2, pp. 253–260, 2004.
View at: Publisher Site | Google Scholar
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.
View at: Publisher Site | Google Scholar
M. J. Thomson, M. Ocampo, J. Egdane et al., “Characterizing the Saltol quantitative trait locus for salinity tolerance in rice,” Rice, vol. 3, no. 2-3, pp. 148–160, 2010.
View at: Publisher Site | Google Scholar
J. D. Platten, J. A. Egdane, and A. M. Ismail, “Salinity tolerance, Na⁺ exclusion and allele mining of HKT1; 5 in Oryza sativa and O. glaberrima: many sources, many genes, one mechanism?” BMC Plant Biology, vol. 13, no. 1, p. 32, 2013.
View at: Publisher Site | Google Scholar
B. B. Patel, B. B. Patel, and R. S. Dave, “Studies on infiltration of saline–alkali soils of several parts of Mehsana and Patan districts of north Gujarat,” Journal of Applied Technology in Environmental Sanitation, vol. 1, pp. 87–92, 2011.
View at: Google Scholar
N. N. Babu, S. G. Krishnan, K. K. Vinod et al., “Marker aided incorporation of Saltol, a major QTL associated with seedling stage salt tolerance, into Oryza sativa ‘Pusa basmati 1121’,” Frontiers in Plant Science, vol. 8, 2017.
View at: Publisher Site | Google Scholar
E. A. Siddiq, L. R. Vemireddy, and J. Nagaraju, “Basmati rices: genetics, breeding and trade,” Agricultural Research, vol. 1, no. 1, pp. 25–36, 2012.
View at: Publisher Site | Google Scholar
R. K. Ellur, A. Khanna, A. Yadav et al., “Improvement of basmati rice varieties for resistance to blast and bacterial blight diseases using marker assisted backcross breeding,” Plant Science, vol. 242, pp. 330–341, 2016.
View at: Publisher Site | Google Scholar
E. Bienabe and D. Marie-Vivien, “Institutionalizing geographical indications in southern countries: lessons learned from basmati and rooibos,” World Development, vol. 98, pp. 58–67, 2015.
View at: Publisher Site | Google Scholar
V. P. Singh, “Basmati rice of India,” in Aromatic Rices, R. K. Singh, U. S. Singh, and G. S. Khush, Eds., pp. 135–154, Oxford & IBH Publishing Co. Pvt. Limited, New Delhi, 2000.
View at: Google Scholar
S. Gopalakrishnan, R. K. Sharma, K. A. Rajkumar et al., “Integrating marker assisted background analysis with foreground selection for identification of superior bacterial blight resistant recombinants in basmati rice,” Plant Breeding, vol. 127, no. 2, pp. 131–139, 2008.
View at: Publisher Site | Google Scholar
M. Joseph, S. Gopalakrishnan, R. K. Sharma et al., “Combining bacterial blight resistance and basmati quality characteristics by phenotypic and molecular marker assisted selection in rice,” Molecular Breeding, vol. 13, no. 4, pp. 377–387, 2004.
View at: Publisher Site | Google Scholar
A. Khanna, V. Sharma, R. K. Ellur et al., “Development and evaluation of near isogenic lines for major blast resistance gene(s) in basmati rice,” Theoretical and Applied Genetics, vol. 128, no. 7, pp. 1243–1259, 2015.
View at: Publisher Site | Google Scholar
A. Singh, V. K. Singh, S. P. Singh et al., “Molecular breeding for the development of multiple disease resistant basmati rice,” AoB Plants, vol. 2012, article pls029, 2012.
View at: Publisher Site | Google Scholar
R. Aliyu, A. M. Adam, S. Muazu, S. O. Alonge, and G. B. Gregario, “Tagging and validation of SSR markers to salinity tolerance in rice,” in 2010 International Conference on Biology, Environment and Chemistry (IPCBEE), vol. 1, pp. 328–332, Singapore, 2011.
View at: Google Scholar
T. T. H. Vu, D. D. Le, A. M. Ismail, and H. H. Le, “Marker-assisted backcrossing (MA-C) for improved salinity tolerance in rice (Oryza sativa L.) to cope with climate change in Vietnam,” Australian Journal of Crop Science, vol. 6, pp. 1649–1654, 2012.
View at: Google Scholar
B. D. Singh and A. K. Singh, Marker-Assisted Plant Breeding: Principles and Practices, Springer, New Delhi, 2015.
View at: Publisher Site
G. B. Gregorio, M. R. Islam, G. V. Vergara, and S. Thirumeni, “Recent advances in rice science to design salinity and other abiotic stress tolerant rice varieties,” SABRAO Journal of Breeding and Genetics, vol. 45, pp. 31–41, 2013.
View at: Google Scholar
V. T. Ho, M. J. Thomson, and A. M. Ismail, “Development of salt tolerant IR64 near isogenic lines through marker-assisted breeding,” Journal of Crop Science and Biotechnology, vol. 19, no. 5, pp. 373–381, 2016.
View at: Publisher Site | Google Scholar
L. T. N. Huyen, L. M. Cuc, A. M. Ismail, and L. H. Ham, “Introgression the salinity tolerance QTLs Saltol into AS996, the elite rice variety of Vietnam,” American Journal of Plant Science, vol. 3, no. 7, pp. 981–987, 2012.
View at: Publisher Site | Google Scholar
M. M. Hasan, M. Y. Rafii, M. R. Ismail et al., “Marker-assisted backcrossing: a useful method for rice improvement,” Biotechnology and Biotechnological Equipment, vol. 29, no. 2, pp. 237–254, 2015.
View at: Publisher Site | Google Scholar
A. K. Singh, S. Gopalakrishnan, V. P. Singh et al., “Marker assisted selection: a paradigm shift in basmati breeding,” Indian Journal of Genetics and Plant Breeding, vol. 71, pp. 120–128, 2011.
View at: Google Scholar
A. K. Singh and S. G. Krishnan, “Genetic improvement of basmati rice—the journey from conventional to molecular breeding,” Molecular Breeding for Sustainable Crop Improvement. Sustainable Development and Biodiversity, V. Rajpal, S. Rao, and S. Raina, Eds., vol. 11, Springer, Cham, 2016.
View at: Publisher Site | Google Scholar
G. B. Gregorio, D. Senadhira, and R. D. Mendoza, Screening Rice for Salinity Tolerance, IRRI Discussion Paper Series no 22, Los Baños, International Rice Research Institute, 1997.
IRRI, Standard Evaluation System (SES) for Rice, Los Baños, International Rice Research Institute, 5th edition, 2013.
V. K. Singh, V. K. Singh, R. K. Ellur, S. G. Krishnan, and A. K. Singh, “Validation of rapid DNA extraction protocol and their effectiveness in marker assisted selection in crop plants,” Indian Journal of Genetics and Plant Breeding, vol. 75, no. 1, pp. 110–113, 2015.
View at: Publisher Site | Google Scholar
R. Van Berloo, “Computer note. GGT: software for display of graphical genotypes,” Journal of Heredity, vol. 90, no. 2, pp. 328-329, 1999.
View at: Publisher Site | Google Scholar
S. Yoshida, D. A. Forno, J. H. Cock, and K. A. Gomez, Laboratory Manual for Physiological Studies of Rice, International Rice Research Institute, Los Baños, 3rd edition, 1976.
S. H. Basavaraj, V. K. Singh, A. Singh et al., “Marker-assisted improvement of bacterial blight resistance in parental lines of Pusa RH10, a superfine grain aromatic rice hybrid,” Molecular Breeding, vol. 26, no. 2, pp. 293–305, 2010.
View at: Publisher Site | Google Scholar
B. S. Bhargava and H. B. Raghupathi, “Analysis of plant materials for macro and micronutrients,” in Methods of Analysis of Soils, Plants, Water and Fertilizers, H. L. S. Tandon, Ed., pp. 49–82, Fertilization Department Consultant Organization, New Delhi, 1993.
View at: Google Scholar
IRRI, STAR Version 2.0.1, Biometrics and Breeding Informatics, PBGB Division, International Rice Research Institute, Los Baños, 2014.
N. N. Babu, K. K. Vinod, S. G. Krishnan et al., “Marker based haplotype diversity of Saltol QTL in relation to seedling stage salinity tolerance in selected genotypes of rice,” Indian Journal of Genetics and Plant Breeding, vol. 74, no. 1, pp. 16–25, 2014.
View at: Publisher Site | Google Scholar
V. K. Singh, A. Singh, S. P. Singh et al., “Marker assisted simultaneous but stepwise backcross breeding for pyramiding blast resistance genes Piz5 and Pi54 into an elite basmati rice restorer line ‘PRR78’,” Plant Breeding, vol. 132, pp. 486–495, 2013.
View at: Publisher Site | Google Scholar
R. K. Ellur, A. Khanna, S. G. Krishnan et al., “Marker-aided incorporation of Xa38, a novel bacterial blight resistance gene, in PB1121 and comparison of its resistance spectrum with xa13+Xa21,” Scientific Reports, vol. 6, no. 1, 2016.
View at: Publisher Site | Google Scholar
N. N. Babu, K. K. Vinod, S. L. Krishnamurthy et al., “Microsatellite based linkage disequilibrium analyses reveal Saltol haplotype fragmentation and identify novel QTLs for seedling stage salinity tolerance in rice (Oryza sativa L.),” Journal of Plant Biochemistry and Biotechnology, vol. 26, no. 3, pp. 310–320, 2016.
View at: Publisher Site | Google Scholar
H. Walia, C. Wilson, P. Condamine et al., “Comparative transcriptional profiling of two contrasting rice genotypes under salinity stress during the vegetative growth stage,” Plant Physiology, vol. 139, no. 2, pp. 822–835, 2005.
View at: Publisher Site | Google Scholar
H. Walia, C. Wilson, L. Zeng, A. M. Ismail, P. Condamine, and T. J. Close, “Genome-wide transcriptional analysis of salinity stressed japonica and indica rice genotypes during panicle initiation stage,” Plant Molecular Biology, vol. 63, no. 5, pp. 609–623, 2007.
View at: Publisher Site | Google Scholar
J. D. Platten, O. Cotsaftis, P. Berthomieu et al., “Nomenclature for HKT transporters, key determinants of plant salinity tolerance,” Trends in Plant Science, vol. 11, no. 8, pp. 372–374, 2006.
View at: Publisher Site | Google Scholar
A. B. Garcia, J. D. Engler, S. Iyer, T. Gerats, M. Van Montagu, and A. B. Caplan, “Effects of osmoprotectants upon NaCl stress in rice,” Plant Physiology, vol. 115, no. 1, pp. 159–169, 1997.
View at: Publisher Site | Google Scholar
P. Senadheera, R. K. Singh, and F. J. M. Maathuis, “Differentially expressed membrane transporters in rice roots may contribute to cultivar dependent salt tolerance,” Journal of Experimental Botany, vol. 60, no. 9, pp. 2553–2563, 2009.
View at: Publisher Site | Google Scholar
T. B. De Leon, S. Linscombe, and P. K. Subudhi, “Molecular dissection of seedling salinity tolerance in rice (Oryza sativa L.) using a high-density GBS-based SNP linkage map,” Rice, vol. 9, no. 1, article 52, 2016.
View at: Publisher Site | Google Scholar
R. Mohammadi, M. S. Mendioro, G. Q. Diaz, G. B. Gregorio, and R. K. Singh, “Genetic analysis of salt tolerance at seedling and reproductive stages in rice (Oryza sativa),” Plant Breeding, vol. 133, no. 5, pp. 548–559, 2014.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2018 Vivek Kumar Singh 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.

PDF Download Citation

Download other formats

Order printed copies

Views

4479

Downloads

2066

Citations