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Scientia Agricola

versión impresa ISSN 0103-9016

Sci. agric. (Piracicaba, Braz.) vol.71 no.5 Piracicaba sept./oct. 2014

http://dx.doi.org/10.1590/0103-9016-2013-0112 

GENETICS AND PLANT BREEDING

 

High grain quality accessions within a maize drought tolerant core collection

 

 

Dragana Ignjatovic-Micic*; Marija Kostadinovic; Sofija Bozinovic; Violeta Andjelkovic; Jelena Vancetovic

Maize Research Institute Zemun Polje, S. Bajica 1 - 11085 - Belgrade - Serbia

 

 


ABSTRACT

Maize (Zea mays L.) landraces are an important source of genes for improving commercial germplasm. Today, drought tolerance and grain quality are major challenges in maize cultivation due to climatic changes and population growth. The Maize Research Institute genebank has a drought tolerant collection, which includes 13 landraces (from the former Yugoslavia) and 12 introduced populations (from different countries). These accessions were analyzed for protein, oil, starch and tryptophan contents, in order to identify drought tolerant accessions with high grain quality. Also, simple sequence repeat (SSR) analysis with specific primers for opaque2 recessive allele (o2) was carried out. All analyzed accessions showed high levels of protein. Oil content ranged from 3.75 % to 5.40 % and starch content from 67.5 % to 71.30 %. Average protein content was not different (p < 0.01) between landraces and introduced populations. Starch and oil contents were higher in introduced populations at 0.84 % and 0.39 %, respectively (p < 0.01). Twenty-three accessions had high levels of tryptophan content. A high percentage of kernel type 1 and 2 indicated the presence of endosperm hardness modifier genes. Recessive o2 allele was found in most of the accessions. Absence of o2 in some high tryptophan accessions indicated action of another mutation. In two high tryptophan accessions an unknown band was detected. Absence of negative correlations between proteins, tryptophan and oil makes certain accessions suitable for use in the simultaneous improvement of target genotypes for these traits. Identified drought tolerant, high quality accessions can be used in breeding programs aimed at nutritional improvement of maize grown under drought conditions.

Keywords: opaque2, protein, starch, oil, tryptophan


 

 

Introduction

It has been predicted that by 2020 the demand for maize (Zea mays L.) in developing countries will overtake the demand for both wheat and rice - by 2025 maize is likely to become the crop with the greatest production globally (Rosegrant et al., 2008).

Maize cultivation has been primarily aimed at increasing yield potential and stability under different environmental conditions. However, the quality of maize kernel composition is extremely important for human and animal nutrition and chemical characterization of the grain should become an inevitable component of maize cultivation programs. The relative chemical composition (e.g. protein, oil, and starch contents) in grains defines the purpose for which maize will be used (White et al., 2001; Baye et al., 2006). For example, quality protein maize (QPM) has increased amounts of essential amino acids lysine and tryptophan, and thus increases the nutritional value for protein-deficient populations (Krivanek et al., 2007), while in animal feed significantly increases the rate of pig weight gain (Sofi et al., 2009).

Redesigning maize for improved kernel qualities may require introduction of novel alleles not presently found in commercial maize germplasm. Teosinte and landraces harbor phenotypic variation that can facilitate genetic dissection of kernel traits and grain quality, ultimately leading to improvement via traditional plant cultivation and/or genetic engineering (Flint-Garcia et al., 2009). Using teosinte and landrace accessions as sources of genetic variation for maize breeding is especially significant for genes that have limited or no variation remaining in modern inbreds (Wright et al., 2005; Yamasaki et al., 2005).

Maize Research Institute Zemun Polje (MRI) has a gene bank which conserves 2,217 landraces from the former Yugoslavia and 3,258 accessions from 40 countries. Surveying for drought tolerant accessions has resulted in the establishment of a drought tolerant core collection (Babic et al., 2011). Herein, the results of grain quality analysis of accessions from this core collection are presented. This study was aimed to: i) identify potential accessions with alleles for both drought tolerance and grain quality (macronutrient content, tryptophan content and kernel type) and ii) identify accessions that carry the recessive opaque2 allele for high tryptophan content, with specific simple sequence repeat (SSR) primers.

 

Materials and Methods

Plant material

Thirteen landraces (accessions L1 to L13) and 12 introduced populations (accessions IP1 to IP12) from the drought tolerant core collection were analyzed for grain quality characteristics. The landraces (originating from different parts of the former Yugoslavia) belong to the following seven agro-ecological groups: Derived flints (L2), Mediterranean flints (L11), Eight rowed soft dents (L6), Flinty Dents (L8), Denty Flints (L13), White flinty dents Moravac (L1, L9) and Dents type of USA Corn Belt dents (L3, L4, L5, L7, L10, L12). The introduced populations (landraces from different parts of the world) originate from Iran (IP1 and IP2), France (IP3), the former USSR (IP4), Bulgaria (IP5), Italy (IP7 and IP8), Pakistan (IP9) and the USA (IP10). For three accessions (IP6, IP11 and IP12) there were no data on the origin.

The twenty-five accessions from the elite drought tolerant core were multiplied (via pair crossing, i.e. full-sibling) in two replications, according to a completely randomized block design (RCBD), in 2009. At least 80 ears were collected per multiplied population. Each multiplied population was dried and shelled and samples of kernels from the centre of the ear were prepared for grain quality analysis.

NIR analysis

Near Infrared Spectroscopy (NIR) analysis was used for starch, oil and protein content analysis. The samples of non-destructed seed (300 g per sample) from each replicate of multiplied seed were scanned twice. Spectra were collected between 800 nm and 1,100 nm.

Tryptophan and QI analysis

Genotypes were represented with two samples, each consisting of 30 randomly chosen kernels from ten competitive plants. Kernels were dried in a thermostat at 65 °C overnight (16-18 h) and milled in a Cyclone sample mill. The flour was defatted by hexane treatment for four hours in a Soxhlet extractor.

Tryptophan content was determined using the colorimetric method (Nurit et al., 2009). The color was developed in a reaction of flour hydrolysate (obtained by overnight digestion with papain solution at 65 °C) with 2 mL of reagent containing 56 mg of Fe3+ dissolved in 1 L of glacial acetic acid and 2 mL of 15 M H2SO4. After incubation at 65 °C for 15 min, absorbance was read at 560 nm. Tryptophan content was calculated using a standard calibration curve, developed with the known amounts of tryptophan, ranging from 0 to 30 µg mL-1.

In order to obtain accurate quality index (QI) values, protein content was also determined in the samples used for tryptophan analysis by the standard Kjeldahl method based on nitrogen determination (Vivek et al., 2008). The protein was estimated from the nitrogen value as % protein = % nitrogen × 6.25 (conversion factor for maize).

Quality index (QI), i.e. tryptophan to protein ratio in the sample, was calculated as QI = 100 × tryptophan content in the sample / protein content in the sample

Identification of kernel types

For each genotype 200 kernels were visually scored using a light table (Vivek et al., 2008). The scoring scale defined kernel types, from type 1 (completely translucent, with no opaqueness) to type 5 (completely opaque). Kernels with 25 % opaqueness were scored as type 2, while types 3 and 4 were 50 % and 75 % opaque kernels, respectively.

Statistical analysis

All chemical analyses were performed in two replicates and the results were statistically analyzed. One factorial analysis of variance (ANOVA) for trials set up according to the RCB design was carried out. Fisher's least significant difference (LSD) test was used to test the significance of differences between the observed means. All statistical analyses were done using MSTAT-C software. Students' t-tests between average values of landraces and introduced populations were performed to determine statistical differences in the chemical composition and kernel type of the two groups of accessions. Pearson's correlation coefficient was used for determining correlations between protein, starch, oil, tryptophan, QI and kernel types, as well as between protein contents as determined by the NIR and Kjeldah method.

SSR analysis

SSR analysis of the 25 accessions was carried out using a DNA-pooled sampling strategy (bulk analysis). Each accession was represented by 30 individual seeds, which were grounded into flour. For bulk analysis equal amounts of the flour per accession were pooled into a single sample. Also, a subset of six accessions was analyzed for individual seeds, in order to get insight into distribution of the o2 allele within an accession. The choice of accessions was based on electrophoregram profiles of bulk analysis and tryptophan content.

PCR (polymerase chain reaction) amplification was performed on the DNA isolated from 25 bulked populations and 180 individual samples (30 seeds from six accessions) according to Rogers and Bendich (1988), with two primers specific for opaque2 gene - phi057 and umc1066. The amplification reaction was carried out in 20 µL reaction volume containing 1x enzyme buffer, 3 mM MgCl2, 200 µM dNTPs, 0.25 µM primers, 1.25 U Taq polymerase and 50 ng of DNA. The amplification profiles were as follows: an initial denaturation at 94 °C/2 min, followed by 40 cycles each of denaturation at 94 °C/1 min, annealing at 60° C/2 min and extension at 72 °C/2 min, with final extension at 72 °C/10 min. Amplified fragments were separated on 12 % polyacrylamide gels. After electrophoresis, gels were stained with ethidium bromide, photographed and analyzed using the BioDocAnalyze (Biometra) gel documentation system.

 

Results

Biochemical analyses

NIR analysis revealed high levels of protein (from 10.90 % to 13.85 %) in all accessions (Table 1). Starch levels were in the range from 67.5 % to 71.30 % and content over 70 % was detected only among five introduced populations (IP3, IP4, IP10, IP11 and IP12). Oil content was in the range from low (3.75 %) to high (5.40 %). In one landrace (L1) and three introduced populations (IP2, IP3 and IP8) oil content was over 5.0 %. Average protein content in landraces and introduced populations was 12.07 % and 12.12 %, respectively, and the difference between them was not significant. On the other hand, starch and oil contents were higher in introduced populations at 0.84 % and 0.39 %, respectively (p < 0.01).

Protein content determined by the Kjeldahl method was also high in all accessions (11.20 % to 14.29 %) and on average higher when compared to the NIR method, but the difference was not significant. Twenty-three accessions had tryptophan content over 0.070 % (0.070 % to 0.088 %). One landrace (L7) and one introduced population (IP6) had the lowest values for tryptophan (0.065 % and 0.069 %, respectively). Most of the accessions had medium QI values (0.60 to 0.69). Four landraces and five introduced populations showed QI below 0.60, while the highest QI of 0.76 was determined for IP2 introduced population.

Correlations between measured macronutrients, tryptophan, QI and kernel types are given in Table 2. Protein content values determined by both the NIR and Kjeldahl method were used for correlation calculations. Pearson's correlation coefficient for these two methods was 0.751 and was significant at p < 0.01 (not presented in the table).

Proteins determined by NIR showed negative correlation with starch and QI (p < 0.01). Likewise, proteins determined with Kjeldahl method showed the same negative correlations, but at p < 0.05 and p < 0.01, respectively. Positive correlations were determined between tryptophan content and QI (p < 0.01), as well as between tryptophan content and kernel type (p < 0.05). Also, QI showed positive correlation with kernel type (p < 0.05).

Identification of kernel types

Kernel type scores of the analyzed accessions were high (representing hard endosperm), in the range from 1.25 to 1.98 for landraces and 1.24 to 2.26 for introduced populations (Table 1). No differences between landraces and introduced populations were found. The most frequent were kernel type 1 (over 40 %) and 2 (over 30 %), making a total of 84 % within landraces and 82 % within introduced populations. Kernel type 3 was present in 15 % and 17 %, respectively (Figure 1). Types 1, 2 and 3 were detected in all accessions. Kernel type 4 was found in three landraces (L4 - 4 %, L10 - 2 % and L11- 10 %) and two introduced populations (IP8 - 2 % and IP11 - 2 %). Completely opaque kernels (type 5) were not found in any of the accessions analyzed.

 

 

SSR analysis

Marker phi057 was monomorphic for the accessions analyzed and could not be used for identification of opaque2 recessive allele (o2). Umc1066 was polymorphic and this marker identified accessions which harbor o2. Illustration of homozygous and heterozygous accessions for opaque2 identified with bulk analysis is given in Figure 2. Opaque2 recessive allele was found in all accessions, except L7, IP2 and IP6 (L7 and IP6 are not illustrated in Figure 2). This locus was homozygous recessive (o2o2) in L1, L3, L5, L8 and L9 accessions and heterozygous (O2o2) in the remaining seven landrace accessions. Among the introduced populations, opaque2 was found to be homozygous recessive in IP7, heterozygous in nine and homozygous dominant (O2O2) in IP6 accessions. IP2 accession was heterozygous with dominant O2 and an unknown allele (UA) positioned between o2 and O2 bands.

 

 

The two O2O2 accessions had the lowest tryptophan content (0.065 % and 0.069 %) (Figure 3). In all landrace o2o2 accessions tryptophan content was in the range from 0.072 % to 0.086 % and in all O2o2 accessions from 0.072 % to 0.081 %. Tryptophan content in the o2o2 introduced population (IP7) was 0.072 % and in the O2o2 populations in the range from 0.071 % to 0.088 %. In the IP2 accession in which an unknown allele was found, tryptophan content was 0.088 %.

 

 

Based on the allele profiles of the bulked samples and their tryptophan content, six accessions were chosen for the SSR analysis of individual kernels. Two homozygous recessive (o2o2) accessions L1 and IP7 had lower tryptophan content than L2, L10 and IP1 heterozygous (O2o2) accessions (0.072 % and 0.072 % vs. 0.077 %, 0.081 % and 0.084 %, respectively). On the other hand, IP2 accession had one of the highest tryptophan contents (0.088 %), despite having an allele that was unknown rather than the recessive o2 allele.

Dominant homozygous individuals were found in L1 and IP7 accessions (Table 3). All individuals of L1 and 96 % individuals of IP7 accessions were homozygous recessive. In IP7 4 % were heterozygous for opaque2 locus, although the band characteristic for normal maize was not found in the bulked sample. One fifth to one quarter of the individuals were dominant homozygous for opaque2 in L2, L10 and IP1. Most of the samples were heterozygous, while recessive homozygous o2 allele was detected in 10 %, 25 % and 37 % of individuals, respectively. In 10 % of IP1 accession an unknown allele (UA), absent in the bulk and positioned between the o2 and O2 bands, was detected.

Recessive homozygous o2o2 individuals were not found in the IP2 accession. However, 8 % of the individuals were O2o2 heterozygous, although o2 allele was not detected in the bulked sample. An unknown band (also present in the bulk) was detected in 43.5 % of individuals (40 % in combination with O2 and 3.5 % as homozygous UAUA). This band is located between the o2 and O2 bands (Figure 2), at the same position as the unknown band in IP1 accession (not presented).

 

Discussion

The values for typical kernel composition for the commodity yellow dent maize on a dry matter basis are 71.7 % starch, 9.5 % protein, 4.3 % oil, 1.4 % ash and 2.6 % sugar (Watson, 2003). Compared with these data, all accessions analyzed by from MRI drought tolerant core collection had high protein contents (over 10.90 %), while high oil content (over 4.45 %) was found in four landraces and nine introduced populations. Analysis of 11 Mexican landraces, 32 white and six yellow hybrids revealed that landraces had higher average protein and oil contents as compared to hybrids - average protein and oil contents were 11.1 % and 4.9 % for the landraces, 9.7 % and 3.7 % for white hybrids and 9.8 % and 3.2 % for yellow hybrids (Vásquez-Carrillo et al., 2011). Similar values for these macronutrients were also found among 1245 accessions from different parts of the world (Berardo et al., 2009). Starch content among MRI accessions was low, except in the five introduced populations in which it was at the hybrid level (over 70 %). Lower starch content compared to hybrids was also found in accessions from the Gemplasm Enhancement of Maize (GEM) project (Singh et al., 2001).

Protein content was also determined by the Kjeldahl method, assuming that this method would be more sensitive than NIR analysis. Pearson's correlation coefficient for these two methods was positive at p < 0.01. Higher correlation for protein content (as well as for tryptophan and lysine contents) calculated by NIR and the colorimetric method was obtained in another experiment (Rosales et al., 2011), in which it was concluded that NIRS models can be used to support QPM breeding where a very high number of of samples have to be analyzed in a short time. However, for small scale analysis as the one performed in our work, the colorimetric method is more appropriate, since, in order to achieve a high level of confidence, NIR requires a development of the calibration curve that is based on a large and diverse set of samples and validation chemical analysis methods.

For many purposes not only the concentration but also the structure of macronutrients is important (Pollak and Scott, 2005). In this study, analysis of tryptophan content, one of the essential amino acids, was carried out. The limit values recommended for QPM selection are 0.075 % for tryptophan and 0.8 % for QI (Vivek et al., 2008). High tryptophan content was detected in the majority of the accessions. Fifteen accessions had a tryptophan content over the limit, eight in the range from 0.070 % to 0.074 % and two slightly below 0.070 %.

Tryptophan content in normal maize is usually under 0.060 %. In Ignjatovic-Micic et al. (2009) the tryptophan content in B73 and Oh43 inbred lines was 0.059 % and 0.054 %, respectively. Similar values of 0.059 % for white hybrid ZP74b and 0.052 % for yellow hybrid ZP636, as well as a somewhat higher content of 0.065 % in yellow hybrid ZP434 were obtained in a biochemical analysis of maize hybrids (Zilic et al., 2011). Across different genetic backgrounds lower limits of tryptophan in o2o2 maize overlap with its upper limits in normal maize. To confirm if the accessions with ambiguous tryptophan content were opaque2 genotypes SSR analysis with specific marker umc1066 was carried out. Two accessions with tryptophan content below 0.070 were found to lack o2 allele. Moreover, they had QI typical for normal maize. Presence of recessive o2 allele was detected in the five accessions with tryptophan content in the range from 0.070 % to 0.074 %, confirming that they were opaque2 genotypes. On the other hand, IP2 was one of the two accessions with the highest tryptophan content and highest QI, but within this population o2 was detected only in 8 % of the heterozygous samples. As tryptophan content is not elevated when o2 is not homozygous recessive, these results point to the presence of some other high lysine/tryptophan mutation (e.g. floury2 or opaque7), which, however, with different modes of action result in high tryptophan/lysine genotypes (Schmidt et al., 1987; Coleman et al., 1997; Miclaus et al., 2011).

Analysis of individuals within opaque2 heterozygous accessions (determined by bulk sample analysis) revealed different percentages of the presence of o2o2, from approximately one tenth to one third. High tryptophan content within these accessions, despite low presence of recessive homozygous opaque2 individuals, indicates that these individual plants had much higher tryptophan content than that measured for the whole population. It could also indicate the possible presence of amino-acid modifier/enhancer genes, considering that some landraces/introduced populations that were completely homozygous recessive for opaque2 had lower values of tryptophan content. Several enhancer genes have been identified (Wang et al., 2001; Wu et al., 2002) that affect the relative levels of lysine and tryptophan content in the grain endosperm (Moro et al., 1996).

In some cases bulk analysis did not detect O2 (IP7) or o2 (IP2) alleles, although they were detected in a small percent as O2o2 heterozygous loci in the analysis of individual kernels. This could be explained by the fact that alleles present in small percent can be missed in bulk analysis (Reif et al., 2005). In IP1 and IP2 accessions an unknown band (allele) was detected, positioned between the o2 and O2 bands. Both populations originate from Iran indicating that this band could be connected with their geographic origin. Most probably this allele is of dominant action, as it was present only as the heterozygous O2UA locus in IP1 and also the homozygous UAUA individuals were detected in a small percentage (3.5 %) of the IP2 accession. Since those two accessions had the highest tryptophan levels, there could be two possible explanations. The first one is that it was the consequence of some other gene(s) beside o2 (flowery2 or opaque7). The second one is that UA allele increases the tryptophan level, and if such is the case, this allele should be over-dominant to O2 allele. It would be worthwhile testing if UA has any influence on an increase in tryptophan content and its sequence should be identified.

High kernel type scores, absence of completely opaque kernels and presence of over 80 % of hard endosperm kernels were found in o2o2 accessions. The soft, opaque endosperm in o2o2 genotypes is the consequence of an o2 allele pleiotropic effect which has an influence on zein synthesis. However, a distinct genetic system comprising minor modifying genes (endosperm hardness modifier genes) influence gamma zein production and convert soft (opaque) into hard (vitreous) endosperm - such o2o2 grains with hard endosperm having approximately double the amount of gamma zein in the endosperm as compared to the o2-only mutants (Danson et al., 2006, Wallace et al., 1990). The presence of a high percentage of hard endosperm kernels in the o2o2 accessions from the drought tolerant core clearly implies a presence of the endosperm hardness modifier genes.

Kernel type 3 was found in a small percentage (app. 5 %) of both O2O2 genotypes. Some other opaque or floury gene could be present in these accessions, considering that according to the LSD test their tryptophan content was no different (p > 0.01) from some high tryptophan accessions. Also, the possibility of some other opaque or floury gene(s) action in the IP2 accession that has already been described is further enhanced by the presence of opaque kernels. Kernel types 3 and 4 were found in O2o2 accessions, as could have been expected, as bulk samples encompassed homozygous recessive individuals.

 

Conclusion

The accessions can be used as sources of new desirable alleles for food and feed improvement. Moreover, several accessions (e.g. L3, IP2 and IP8) have been identified that have high contents of protein, oil and tryptophan concurrently. Some of the high tryptophan accessions did not have the recessive opaque2 mutation, thus indicating the presence of some other mutation, such as fluory2 or opaque7. The drought tolerant core collection was selected in field trials performed in both sub-tropical and temperate zones. Hence, these genotypes could be used for breeding maize adapted to both environments.

 

Acknowledgement

This research was supported by the Ministry of Education, Science and Technological Development of Republic of Serbia through the project TR31028 Exploitation of maize diversity to improve grain quality and drought tolerance.

 

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Received Abril 11, 2013
Accepted March 30, 2014

 

 

* Corresponding author <idragana@mrizp.rs>

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