Legume Research

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Legume Research, volume 43 issue 3 (june 2020) : 303-311

Polymorphic SSR marker identification for water use efficiency in groundnut (Arachis hypogea L.) parental lines

C. Nandini1,*, D.L. Savithramma1, Pushpa Doddaraju1, Pavan kumar2
1Department of Genetics and Plant breeding, University of Agricultural Sciences, G.K.V.K, Bengaluru-560 065, Karnataka, India.
2University of Horticultural Sciences, Bagalkot-587 104, Karnataka, India.
  • Submitted30-12-2017|

  • Accepted02-04-2018|

  • First Online 16-07-2018|

  • doi 10.18805/LR-3980

Cite article:- Nandini C., Savithramma D.L., Doddaraju Pushpa, kumar Pavan (2018). Polymorphic SSR marker identification for water use efficiency in groundnut (Arachis hypogea L.) parental lines . Legume Research. 43(3): 303-311. doi: 10.18805/LR-3980.
Groundnut is world important oilseed crop; productivity is low in the semi-arid regions due to frequent occurrence of drought. Identification of genotypes that have a greater ability to use limited available water is important to enhance productivity of the crop. Water Use Efficiency (WUE) is one such important trait, which increases yield under drought situation. Low level of DNA polymorphism has been detected in most of the laboratories due to allotetraploid nature. In the present study two parental lines of Recombinant Inbred line population NRCG12568 and NRCG12326 diverse for WUE related trait, such as Carbon Isotopic Discrimination (D13C), Specific Leaf Area (SLA) and SPAD chlorophyll meter reading were studied for polymorphism using 350 simple sequence repeat (SSR) markers. Out of these, only 119 (34%) markers showed polymorphism in NRCG12568 and NRCG12326. Detection of polymorphism opens up the possibility of use of these markers for QTL map development for D13C in groundnut.
Groundnut (Arachis hypogaea L) an allotetraploid (2n = 4x = 40) legume, which is widely grown in semi-arid regions of the world as food and oil seed crop. Two-third of the production comes from rainfed conditions (Smartt 2012), where drought is the major constraint. Limited water availability during flowering and peg penetration results in drastic yield reduction. Water use efficiency (WUE) is one such trait which increases yield under drought situation but direct measure of WUE under field condition with large number of population is a difficult task; hence surrogate traits like Specific Leaf Area, Stability of soil plant analytical development (SPAD) chlorophyll meter reading and Carbon Isotopic Discrimination (D13C) could be used to measure WUE. Carbon Isotopic Discrimination (D13C) is one such important trait which measures mesophyll capacity of the plant and it is inversely related to the WUE (Draufurd et al., 1999, Latha et al., 2007, Rowland et al., 2004). Identification of genotypes which are high water use efficient can be done by phenotyping these traits and also applications of molecular tools such as DNA markers for selection, which will increases selection efficiency. But, in groundnut their application is lagging because of limited polymorphism even though extensive variation for morphological and physiological characteristics exists in both wild and cultivated groundnut (Halward et al., 1992). Among the available marker system viz., Random Amplification of Polymorphic DNA (RAPD), Amplified Fragment Length Polymorphism (AFLP), Restriction Fragment Length Polymorphism (RFLP) and Simple Sequence Repeat (SSR) reveled low level of polymorphism in many studies. Halward et al., (1991) observed very low level of DNA polymorphism in cultivated groundnut germplasm using Restriction fragment length polymorphism. No variation in banding pattern was observed among the cultivars and germplasm lines of Arachis hypogaea using RAPD techniques (Halward et al., 1992). Guohao et al., (2003) observed microsatellite DNA markers produce a high level of polymorphism than other DNA markers in cultivated groundnut. Varshney et al., (2009) reported the first genetic map for cultivated groundnut using SSR markers for WUE related traits like SPAD chlorophyll meter reading, SLA. However, D13C is also one good surrogate trait which measures the mesophyll capacity of the plant. Majority of the SSR markers have not been integrated into the groundnut linkage map. Hence, it is essential to identify markers and mapping those markers on genetic map. Present study aimed to identify polymorphic DNA markers in parental lines NRCG12568 and NRCG12326 of Recombinant Inbred Line population which segregate for Carbon Isotopic Discrimination.
Phenotypic evaluation of parental lines RIL mapping populations NRCG12568 and NRCG12326
 
Two parental lines of the mapping population NRCG12568 and NRCG 12326 are phenotypically evaluated at University of Agricultural Sciences, Bengaluru. The characterization site, Bengaluru located at 13° 05" N latitude and 77° 34" E longitudes. The center is at an altitude of 924 meters above mean sea level. The annual rainfall ranges from 528 mm to 1374.4 mm with the mean of 915.8 mm. Five plants in each line were randomly selected and phenotypic observations were recorded on traits related to Water Use Efficiency. The numbers of days taken from the date of sowing to 50 per cent of the plants to flower in each parental line were recorded. The plant height (cm) was recorded as the height of the main axis form ground level to apical leaflet. The total number of primary branches borne on the main axis in each plant was counted. Total number of pods (including both mature and immature pods) produced in each plant were counted together. Pod yield per plant (g) was recorded by weighing of total pods per plant obtained after optimum drying of the plants. Test weight (g) was recorded from random sampling of 100 filled seeds was drawn and its weight was recorded in grams. Kernel yield per plant (g) was calculated by weighing total kernels obtained from mature pods per plant. Sound Mature Kernel (SMK) and Shelling percentage was derived using following formula. Phenotypic data was tested at P value [Non-significant (NS) ≥ 0.05 ≤ significant (*)].
                                                                       
                                             


Specific leaf area (SLA, cm2/g)

Third fully expanded leaf of the main branch was collected and the leaf area was measured using leaf area meter. Then the leaves were kept in an oven at 70°C for 3 days. The dry weight of the leaf was accurately measured using a sensitive balance. SLA was computed as per Garnier et al., 2001.
      
                           
 
SPAD chlorophyll meter reading
 
The third leaf from the apex was selected to record the chlorophyll content. Selected leaf of groundnut was clamped avoiding the mid rib region into the sensor head of SPAD meter. A gentle stroke was given to record the SPAD reading and the average of such four strokes was considered. Since groundnut has tetra foliate leaf, SCMR was recorded in all the four leaflets and the average value was recorded.
 
Quantification of D13C in leaf samples
 
About five to six third fully expanded leaves were collected and dried at 80°C for three days. The dried leaves were powdered in a mortar and pestle. The D13C analysis was done at the National facility for quantification of stable isotopes in the Department of Crop Physiology, UAS, Bangalore. Carbon isotope ratios (13C/12C) in comparison with the Pee and Dee Belemnite standard were measured using continuous flow isotopic mass spectrometer (IRMS). The IRMS facility consists of flash elemental analyzer (CE-EA 1112), for sequential combustion of biomass samples and open slit interference (coulo 3). Finely powdered dry leaves samples were accurately weighed in the range of 1.0 to 1.2 mg into silver capsules. The crimped capsules with the sample were placed sequentially in the caraousel of the auto sampler. The samples are dropped at specific interval of time along with a pulse of pure O2 in to the oxidation reactor.
       
The combustion (oxidation) reactor contains chromic oxide and silvered cobaltous-cobaltic-oxide heated to 105°C. The biomass is completely oxidized to produce CO2, N2O and H2O. These gases were swept into the reduction furnace using helium carrier gas. The reduction column contains reduced copper in quartz tubes heated to 680°C. In this reaction, the N2O, is reduced to N2 and the excess O2 is absorbed. The resultant gases are then flushed through scrubbers to trap CO2 and water. The pure CO2 and N2 gas after passing through a GC column (5° A molecular sieve) and a thermal conductivity detector (TCD) into the ion source of IRMS. At the source, CO2 is ionized by electron impacts ionization to produce molecular radicals (CO+). When accelerated radicals pass through a strong magnetic field it is deflected with the radius of deflection being proportional to the molecular mass of the radicals. These deflecting 12CO2 and 13CO2 are collected by the Faraday cups and the signal is amplified and transmitted to the computer and displayed.
 
DNA isolation
 
Total genomic DNA was isolated from the groundnut seedlings of 10-15 day old using the cetyl trimethyl ammonium bromide (CTAB) method as described by (Saghai-Maroof et al., 1984) with some modifications. Freshly harvested groundnut leaves (200 mg) were grounded to fine powder in pre-chilled mortar using liquid nitrogen and transferred into 2 ml centrifuge tubes containing 750 µl extraction buffer (0.1 M Tris Hcl (pH 8.0), 0.02 M EDTA (pH 8.0), 2% CTAB (w/v), 1.4 M NaCl, 0.2% β-mercaptoethanol (v/v) and 2% polyvinyl pyrrolidone (w/v)) and incubated in water bath at 65°C for 30 min, for DNA purification 5 µl of RNase (10 mg/ml) was added and incubated again at  65°C for 10 min. Tubes were cooled down to room temperature and equal volume of chloroform: isoamyl alcohol (24:1) was added, mixed thoroughly and centrifuged at 13,000 g for 10 min at room temperature. Supernatant was carefully transferred to fresh sterile 1.5 ml centrifuge tubes and 0.7 volume of ice-cold isopropanol was added to precipitate DNA and incubated at -20°C for 2 h. Tubes were then centrifuged at 13,000 g for 10 min at 4°C, the pellet was washed twice with 70% ethanol. Tubes were air dried at room temperature and DNA was dissolved in 100 µl 1X TE buffer and stored at 4°C. Quantification of DNA was performed by measuring the absorbance at 260 nm in Nanodrop (Thermoscientific) quality of the DNA was checked on 1% agarose gel.
 
 Screening Parental lines with SSR markers
 
Parents, NRCG12568 and NRCG12326 were screened for polymorphism by using 350 SSR markers (Hopkins et al.,1999; He et al., 2003; Ferguson et al., 2004; Moretzsohn et al., 2004 and Mace et al., 2007) which are polymorphic in other mapping population available at ICRISAT. Out of 350 SSR markers 145 were dye labeled and 205 were unlabelled SSR markers. List of all dye labeled and unlabelled SSR markers are presented in supplementary data Table 1 and Table 2 respectively.
 

Table 1: Phenotypic evaluation of parental lines with respect to different physiological traits related to Water Use Efficiency in groundnut.


 

Table 2: List of polymorphic SSR markers in parental genotypes NRCG12568 and NRCG12326.


 
Polymerase chain reaction
 
Polymerase Chain Reaction (PCR) was performed by using a Touch - Down PCR. DNA amplification was performed in 5 µl reaction mixture using Gene Amp® PCR system 9700. The reaction mixture contained 5 ng/µl template DNA, 4-5 pM / µl SSR primers pair (Forward and Reverse), 25 mM Mgcl2, 2 mM DNTP’s, 10X PCR buffer and 1U/µl Taq DNA polymerase (Bioline) for unlabeled primers and for labeled primers 5 ng/µl template DNA, 4-5 pM/µl SSR primers pair (Forward-labelled and Reverse), 25 mM Mgcl2, 2 mM DNTP’s, 10X PCR buffer  and 1U/µl Taq DNA polymerase (sib enzyme).The PCR product was separated in 6% poly acrylamide gel at 800 voltages for 2 hours and visualized by silver staining (Kolodny 1984). Before loading PCR Products in the sequencing gel, amplification was checked on 1.2 per cent agarose gel. For the separation of DNA fragments, non-denaturing polyacrylamide gelelectrophoresis (PAGE) and capillary electrophoresis were used.
 
Non-Denaturing Polyacrylamide Gel Electrophoresis (PAGE)
 
After PCR amplification, 2µl of orange dye was added to 5 µl reaction mixture. Then 2 µl of this reaction mixture was loaded on each lane of 96-track of 6% non-denaturing PAGE and as the base pair marker, 100bp DNA ladder was loaded on both the corners of the gel. Recipe for 6% gel consisted of 52.5 ml of distilled water, 7.5 ml of 10X TBE, 15 µl of acrylamide-methylbisacrylamide 29:1 (V/V), 100µl of TEMED and 450 µl of ammonium per sulphate (APS). Electrophoresis was run at 800 volts for 2 hours in 0.5X TBE running buffer, using BIORAD sequencing gel unit.
       
PCR products were visualized by using silver staining protocol (Kolodny 1984). Initially, the gel was rinsed with distilled water for 5 min with gentle shaking followed by soaking in 0.1% CTAB for 20 min (1.5 g in 1.5 litre of water) then kept in 0.3% liquid ammonia for 15 min (19.5 ml of 25% liquid ammonia solution in 1.5 litre of water) and later placed in 0.1% silver nitrate solution (1.5 g of silver nitrate + 6 ml of 1M NaOH in 1.5 litre of water and then titrated with ammonia solution till it became colorless) followed by rinsing in water for 1 min. After this gel was kept for developing in solution (22.5 g sodium carbonate and 400 µl of formaldehyde in 1.5 ml of water) till bands became conspicuous. The gel was kept in water for 5 min to stop the staining reaction and fixed in 3% glycerol. After staining the gel, bands were scored to check the polymorphism in two parents NRCG12568 and NRCG12326.
 
Capillary electrophoresis (ABI 3100 genetic analyzer)
 
Capillary electrophoresis (ABI3100 genetic analyzer) is used for markers which show 2 to 3 base pair difference which could not be resolved in poly acrylamide gel. Amplified products were separated by using capillary electrophoresis. Total volume of 14.5 µl contains 1.5 µl PCR products of TAMARA, HEX and FAM-labeled products were mixed separately with 7 µl of Hidi, 0.15 µl of Rox-500 size standard and 2.85 µl of double distilled water (adjusted as per dye and number of primers used for multiplexing). Then the samples were kept for denaturation for 5 min at 94°C and chilled on ice for 5 min. Before placing plates containing samples were centrifuged at 900 rpm for 1 minute and size fractioned using capillary electrophoresis on an ABI 3100 DNA Genetic Analyzer (Applied Biosystems). The “G5” dye set, “Genescan POP4” run module and GeneScan™ 500 LIZ® (Applied Biosystems), analysis module were employed and the fragments were separated in 36cm capillary array. After completion of the run, the A and B peak patterns were sized using software GeneMapper v3.5 (Applied Biosystems).
Evaluation of parental lines for physiological traits associated to WUE between
 
Both parental lines showed significant genetic variability for physiological traits such as Carbon Isotope Discrimination (D13C),often regarded, as a time-averaged surrogate for WUE was 17.8 for NRCG12568 and 19.2 for NRCG12326 (Table 1). SPAD chlorophyll meterreading showed 38.5 and 43 for NRCG12568 and NRCG12326 respectively. Yield related traits such as, number of pods per plant and Pod yield per plant showed highly significant variability between both the parents. Water Use Efficiency (WUE) is one such important trait which is correlated with Specific Leaf Area (SLA), Soil Plant Analysis development (SPAD) Chlorophyll Meter Reading (SCMR), Carbon Isotopic Discrimination (D13C) and these have been suggested as surrogate traits for selecting for WUE in groundnut. Water-use efficiency describes a plant’s photosynthetic production rate relative to the rate at which it transpires water to the atmosphere. Under water deficit conditions plants maximize WUE by reducing transpiration rate. WUE has greater impact on growth when the differences in WUE are independent of transpiration rate. Considerable genotypic variability in WUE has been reported in many species including rice (Cabuslay et al., 2002) and hence a relevant trait to improve plant water relations. Chlorophyll is one of the major chloroplast components for photosynthesis, and relative chlorophyll content has a positive relationship with photosynthetic rate.
 
Parental lines screening using SSR markers
 
Molecular markers and genetic linkage maps are prerequisite for molecular breeding in any crop species (Varshney 2009). To develop linkage map polymorphic markers between parents of mapping population is a prerequisite. In order to identify polymorphic markers between two parents, In the present study 350 SSR markes were used to screen parental lines of groundnut NRCG12568 and NRCG12326. Out of screened 350 SSR markers, 205 are unlabeled and 145 were dye labeled (Hex, Tamra and Pet) markers (Supplementary data 1 and 2). Poly acrylamide gel electrophoresis is used to separate the DNA fragments in case of unlabeled markers and result obtained are scored as monomorphic and polymorphic based on banding pattern. Amplified products observed in two genotypes using different SSR markers exhibiting polymorphism were shown in Fig 1. Whereas, capillary electrophoresis (ABI 3100) was used for dye labeled markers, peak patterns were analyzed using gene mapper version 4 software (Fig 2) showing peak patterns of two parental lines depicting polymorphism. Out of which, only119 markers found to be polymorphic between the parental lines. Total Percentage of polymorphism was 34, which is quite high compared to other earlier studies. Anjali Bhagwat et al., (1997) reported 5.5% polymorphism in Spanish and mutant varieties of groundnut using RAPD markers. Out of screened 350 SSR markers 119 markers showed polymorphism between the parents of mapping population (Table 2). Among 119 markers 51 are dye labeled and 68 were unlabeled SSR markers. Percentage of polymorphism was found to be 34%. SSR or microsatellite markers are a unique class of repetitive DNA sequences that are highly polymorphic, codominant and abundant throughout the genomes of eukaryotes (Rakoczy and Bolibok, 2004) which ultimately makes them an ideal tool for tracing out the origin of genetic content in backcross progeny.  SSR markers have been proven as useful and advantageous for genome mapping, genetic diversity studies, QTL mapping and marker assisted selection as they are codominant and multiallelic in nature (Gupta and Varshney, 2000). As a result several laboratories across the world developed a reasonable number and quality SSR markers for groundnut (Hopkins et al., 1999, He et al., 2003, Palmieri et al., 2002, Fergusson et al., 2004, Moretzsohn et al., 2004, Nelson et al., 2006, Mace et al., 2007, Proite et al., 2007,Gimeneset_al2007,Wanget_al2007, Cuc et al.,  2008 and Gautami et al., 2009). These SSR markers available at ICRISAT were used in the present study. Compared to other marker systems SSR are found be good marker in detecting high percentage of polymorphism in groundnut. (Ferguson et al., 2004) revealed 48.67% polymorphism using SSR markers in 24 cultivated peanut accessions. (Luo et al., 2005) reported 20% polymorphism in 24 Cultivated peanut genotypes using SSR markers. (Lu et al., 2008) observed 44.2% polymorphism in 32 genotypes of groundnut. (Varshney et al., 2009) observed 12.6% polymorphism in parents of Recombinant Inbred Line mapping population. In the present study observed percentage of polymorphism is quite low compared to other crops this may be attributed to its origin from a single polyploidization event that occurred relatively recently on an evolutionary time scale (Halward et al., 1991). The low level of DNA polymorphism in peanut in contrast to the high diversity for agronomic traits may be due to the selective neutrality of molecular markers while morphological traits have been subjected to intense selection. As groundnut genome size is estimated to be 2800 mb/1c (Guo et al., 2009) which is quite higher than any other crop species. A large number of polymorphic markers need to be developed and characterized. Availability of large number of polymorphic markers helps in identifying tightly linked marker to important traits in groundnut. In the present study, identified polymorphic markers could be used further to identify important genes or QTLs governing  Carbon Isotopic Discrimination and other Water Use Efficiency related traits which could be potentially employed for marker assisted selection tools for genetic enhancement of cultivated groundnut.
 

Supplementary data 1: List of dye labelled SSR Markers used to study parental polymorphism in NRCG12568 and NRCG12326.


 

Supplementary data 2: List of Unlabeled SSR Markers used to study parental polymorphism in NRCG12568 and NRCG12326.


 

Fig 1: Electrophoretic profile of SSR markers in parental lines of groundnut using 6% polyacrylamide gel.


 

Fig 2: Capillary electrophoretic pattern derived from PCR amplification of groundnut parental lines (NR CG12568 and NRCG12326) with SSR markersb.

This research was supported by International Research Institute for Semi-Arid Tropica (ICRISAT). We thank our colleagues from ICRISAT who provided insight and expertise that greatly assisted the research. We specially thank Dr Rajeev K Varshney, Research Program Director-Genetic Gains, ICRISAT, for his help and valuable guidance for conducting the research.

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