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Molecular markers associated with aluminium tolerance in Sorghum bicolor

Abstract

Background

Sorghum (Sorghum bicolor, L. Moench) production in many agro-ecologies is constrained by a variety of stresses, including high levels of aluminium (Al) commonly found in acid soils. Therefore, for such soils, growing Al tolerant cultivars is imperative for high productivity.

Methods

In this study, molecular markers associated with Al tolerance were identified using a mapping population developed by crossing two contrasting genotypes for this trait.

Results

Four SSR (Xtxp34, Sb5_236, Sb6_34, and Sb6_342), one STS (CTG29_3b) and three ISSR (811_1400, 835_200 and 884_200) markers produced alleles that showed significant association with Al tolerance. CTG29_3b, 811_1400, Xtxp34 and Sb5_236 are located on chromosome 3 with the first two markers located close to Alt SB , a locus that underlie the Al tolerance gene (SbMATE) implying that their association with Al tolerance is due to their linkage to this gene. Although CTG29_3b and 811_1400 are located closer to Alt SB , Xtxp34 and Sb5_236 explained higher phenotypic variance of Al tolerance indices. Markers 835_200, 884_200, Sb6_34 and Sb6_342 are located on different chromosomes, which implies the presence of several genes involved in Al tolerance in addition to SbMATE in sorghum.

Conclusion

These molecular markers have a high potential for use in breeding for Al tolerance in sorghum.

Background

Sorghum (Sorghum bicolor L. Moench), is a staple cereal in many parts of Africa and Asia where it is grown mostly on small-scale, resource poor holdings. Although it is a hardy cereal, its production is significantly reduced by aluminium (Al) stress, especially in the highly leached acidic soils [1, 2]. Inhibition of root growth is the primary symptom of Al stress in plants [3, 4]. The primary consequence of Al stress is a poorly developed root system that makes the crop vulnerable to drought and limited nutrient uptake [5] and ultimately reduced crop yields [6]. In Kenya, over 70% of sorghum is produced in the western and central regions. These areas are characterized by acid soils [7] with Al percent saturation ranging from 4 to 46% [8]. Low sorghum grain yield in the country is partly attributed to acid soil stress [9] including Al toxicity. Therefore, there is the need to deploy Al tolerant sorghum cultivars in order to increase productivity.

Plant tolerance to aluminium stress is based on exclusion or internal mechanisms that enable Al to be tolerated once it has entered the plant cells [10, 11]. Some plant species accumulate Al and complexed it with other substances to render it less toxic [12]. Al tolerant cultivars of sorghum and most other cereals use the Al exclusion mechanisms based mainly on secretion of organic acids, such as citrate, malate and oxalate that chelate Al outside the cells and thereby reduce its availability [13, 14]. When exposed to Al stress, tolerant sorghum varieties reportedly secrete large quantities of citric acid [14], malic acid and trans-aconitic acids [15, 16]. Aluminium-induced exudation of organic acids in plant roots is mediated by anionic channels in the plasma membrane [12]. The plant genes involved in the Al-induced acid exudation are members of the aluminium activated malate transporter (ALMT) and the multi-drug and toxin extrusion (MATE) families that encode membrane transporter proteins [14, 17, 18].

Although significant progress has been made in crop improvement through phenotypic selection for Al tolerance [5, 19,20,21], the testing procedures may be difficult and time consuming due to the effect of genotype by environment interactions for this trait. In this regard, molecular markers based screening procedure can be more efficient than the use of morphological markers in identifying Al tolerant sorghum genotypes.

Sorghum has significant genotypic variation for tolerance to Al [22, 23], which can be exploited to breed genotypes with superior tolerance to Al stress. Significant progress has been made in developing genomic tools and resources related to aluminium tolerance in sorghum, including the development of some molecular markers that can be used for marker assisted selection [14, 23,24,25,26,27]. However, additional work has to be done through exploring global sorghum genetic resources to identify additional genomic regions that contribute to this trait and eventually develop sets of molecular markers that can be used to efficiently breed sorghum for Al tolerance.

An aluminium tolerance locus referred to as Alt SB was identified through comparative mapping procedure in sorghum [24]. This locus was later found to underlie SbMATE, a MATE family gene, which encodes a protein that is responsible for citric acid exudation [14]. Causative polymorphisms that include insertions and single nucleotide polymorphism (SNPs) that were positively correlated with aluminium tolerance have been identified within this gene [27]. STS markers designated as CTG29 and M181 have been reported to be closely linked to Alt SB at 0.2 cM and 0 cM, respectively [14]. However, it was not known whether the sorghum population used in this study relied on Alt SB or different Al tolerance gene(s). Conserved gene order in genomic regions harboring Al tolerance loci has been reported in members of the grass family [23]. Hence, with the availability of saturated genetic maps of major cereals, it is possible to identify markers linked to Al tolerance genes in sorghum that are orthologous to Al tolerance genes in other cereal crops. The present study was conducted to identify molecular markers associated with genes/QTLs that confer tolerance to aluminium toxicity in sorghum.

Methods

Plant material and the development of the mapping population

Two sorghum lines, Seredo and ICSR 110, were used to develop a mapping population for the identification of molecular markers associated with aluminium tolerance. Seredo is a popular but Al-sensitive commercial Kenyan sorghum with medium height and early maturity that is marketed by the Kenya Seed Company (MUSRT). ICSR 110 is an early maturing, medium height, Al-tolerant inbred line developed by International Crops Research Institute for the Semi-Arid Tropics (ICRISAT, Hyderabad, India). Seredo was used as a pollen recipient from ICSR 110 to develop the hybrid population that was advanced to F3 by selfing. The mapping population comprised 229 F2:3 progenies derived from 22 F2 plants, which in turn derived from three different F1 plants.

The Al tolerance of parental lines and F2:3 progenies was evaluated according to the procedures described by Magalhaes et al. [24] using the basal nutrient solution of Magnavaca et al. [28]. A concentration of 148 μM Al was used to study the effect of aluminium on root growth of the seedlings based on recommendations from previous studies [14, 23]. For this purpose, seeds were sterilized in 1% hypochlorite and germinated on paper.

Since individual plants in F2:3 population are not genetically identical, it was not possible to set up a separate control experiment. Hence, the following procedure was followed to determine the root growth of individual plants under a solution without Al (control solution) and under a solution containing Al, as described in Caniato et al. [23] and Ringo et al. [29]. The two solutions have the same composition except that the latter contains 148 μM Al. First, the seedlings were given a germination period of 4 days and the root length of each plant, which is referred to as initial root length under control solution (ilc), was measured. Then, the seedlings were acclimated in a control nutrient solution for 24 h (1 day) and the root length of each plant, which is referred to as final root length under control solution (flc), was measured. The seedlings were then transferred to a solution containing 148 μM Al and allowed to grow for 5 days and the root length of each plant, which is referred to as final root length under Al (flAl), was measured. Based on these measurements, the net root length of each plant under Al (NRLAl) was calculated as flAl-flc, whereas the percent relative root growth of each plant under the Al solution as compared to the growth under the control solution (%RRG) was calculated as [(flAl–flc)5d/(flc–ilc)1d × 5] × 100. The values of NRLAl and %RRG were used to classify the F2:3 progenies into tolerant or sensitive groups. Leaves were sampled from the parents, F1 and F2:3 seedlings for DNA extraction and marker analysis.

DNA extraction

Genomic DNA was extracted separately from leaf tissue of each F2:3 seedling, parent and F1 hybrid using a cetyltrimethyl ammonium bromide (CTAB) method, as described in Bekele et al. [30]. In total, DNA was extracted from six parental plants (three ICSR 110 and three Seredo), three F1 and 229 F2:3 plants. The DNA quality and concentration were assessed using a Nanodrop® ND-1000 spectrophotometer (Saveen & Werner®, Malmö, Sweden) and by ethidium bromide staining following electrophoresis on 1.5% agarose gel.

PCR amplification of ISSR, SSR and STS markers

Fifty (50) inter-simple sequence repeat (ISSR) primers, twenty four (24) simple sequence repeat (SSR) primer-pairs and two (2) sequence tagged site (STS) primer-pairs were tested on Al tolerant and sensitive parental lines to identify potential markers linked to Al tolerance.

The 50 ISSR primers were selected for screening, as they generated clear and well-separated banding pattern suitable for detecting polymorphism. The ISSR amplification reaction was performed in a total volume of 25 μl containing 1× reaction buffer (20 mM Tris-HCl pH 8.55, 16 mM (NH4)SO4, 0.01% Tween®20 and 2 mM MgCl2), 0.4 μM primer, 0.2 mM dNTPs, 0.5 U Taq DNA polymerase and 10 ng of sample DNA. Amplifications were carried out using GeneAmp® PCR System 9700 (Applied Biosystems) with an initial denaturation step at 94 °C for 1 min followed by 40 cycles of 94 °C for 1 min, 55 °C for 2 min and 72 °C for 18 s; and a final extension step at 72 °C for 5 min.

The 24 SSR markers were selected based on their representation of all sorghum chromosomes and their previously reported high polymorphism. The PCR amplification of SSR loci was performed in a 25 μl reaction mixture containing 25 ng of template DNA, 1× PCR buffer [20 mM Tris-HCl (pH 8.55), 16 mM (NH4)2SO4, 0.01% Tween 20 and 2 mM MgCl2], 0.3 mM dNTPs, 0.25 μM of each primer, and 1 U Taq DNA polymerase (Saveen & Werner®, Sweden). The PCR reactions employed a touchdown PCR method [31] and were run using an Eppendorf® AG-22331 Thermal Cycler (Hamburg, Germany) after optimizing annealing temperatures for the individual primer-pairs. The amplification profiles consisted of initial denaturation of the template DNA at 95 °C for 3 min, followed by 10 cycles at 95 °C for 30 s, 60 °C or 65 °C (depending on the primer-pair) for 30 s (with a decrease of 1 °C/cycle) and 72 °C for 45 s; 30 cycles at 94 °C for 30 s, 50 °C or 55 °C (depending on the primer-pair) for 30 s and 72 °C for 45 s, and a final extension for 20 min at 72 °C.

The two STS markers (CTG29 and M181) are tightly linked to Alt SB , the locus that underlies SbMATE Al tolerance gene [14, 23]. The primers used for the amplification of these markers were those published by Caniato et al. [23]. The PCR reactions for STS markers were run in a GeneAmp® PCR System 9700 Thermal Cycler (Applied Biosystems) in a 20 μl reaction mixture containing 30 ng of DNA template, 1× PCR buffer [20 mM Tris-HCl (pH 8.55), 16 mM (NH4)2SO4, 0.01% Tween 20 and 2 mM MgCl2], 0.5 mM dNTPs, 1.9 mM MgCl2, 0.11 μM of each primer and 1 U Taq DNA polymerase. The PCR program consisted of an initial DNA denaturation step of 1 min at 95 °C followed by 30 cycles of denaturation at 95 °C for 30 s, annealing at 55 °C (for M181) or 57 °C (for CTG29) for 1 min, extension at 72 °C for 1 min, followed by a final extension step at 72 °C for 5 min. In the case of CTG29, additional 2 mM MgCl2 was used in the reaction mixture, and 40 cycles of amplification at annealing temperature of 58 °C was used.

Electrophoresis, staining, visualization and polymorphism survey

The PCR products were separated on 1.5% agarose gel containing ethidium bromide to confirm amplification and thereafter visualized and photographed using a UV photo print system (IP-215-SD) fitted with a Sony® XC-ST50CE camera (Saveen & Werner, Sweden). For both ISSR and SSR markers, the PCR products were then electrophoresed on polyacrylamide gels (CleanGel 10% 52S; ETC Electrophorase-technik®, Germany) for better resolution and silver-stained, as described by Geleta and Bryngelsson [32].

A marker polymorphism survey of the parents was done and the markers that differentiated the two parents were used to genotype the F2:3 progenies. The F1s were included in the analysis as positive controls. Three ISSR primers, four SSR and one STS primer-pairs generated promising markers (Table 1). Two of the three selected polymorphic ISSR markers were converted to sequence characterized amplified region (SCAR) markers as described below.

Table 1 List of primers/primer-pairs used to amplify markers that showed association with Al tolerance in sorghum

Development and analysis of SCAR markers

Two DNA fragments of approximately 1400 bp and 200 bp long that were amplified by ISSR_811 and ISSR_884 primers, respectively, were identified as co-segregating with aluminium tolerance. In this paper, these fragments are referred to as 811_1400 and 884_200, respectively. Both fragments were recovered from gels for cloning and sequencing. The 811_1400 fragment was purified from agarose gel using QIAquick®Gel extraction and purification kit (QIAGEN GmbH, Germany) according to the manufacturer’s instructions. The purified DNA was used in the subsequent cloning of the marker fragment.

The 884_200 fragment was not clearly resolved on agarose gel and hence the PCR products were separated on polyacrylamide gel and then recovered following the procedure described by Sanguinetti [33]. The fragments were extracted from agarose or polyacrylamide gels in 100 μl of extraction buffer (10 mM Tris-HCl, 50 mM KCl, 1.5 mM MgCl2, 0.1% Triton® X-100, pH 9.0) by incubation at 95 °C for 20 min. One microliter of the extracted DNA solution was used to re-amplify the target fragment using Advantage® HF2 Taq polymerase (Invitrogen) according to the ISSR amplification procedures describe above. An aliquot of the PCR products was analysed on agarose gel to confirm amplification and the rest purified using QIAquick® PCR purification kit (QIAGEN GmbH, Germany). The purified DNA fragments were ligated into pJET1.2/blunt cloning vector following the sticky-end cloning protocol as outlined in the CloneJET PCR Cloning Kit instruction manual (Fermentas®, Life Sciences).

Transformation of chemically competent Escherichia coli cells (One Shot® TOP10-Invitrogen) was done following the manufacturer’s instructions. Single colonies of transformed cells were picked and analyzed by colony PCR using pJET1.2 primer-pairs to identify clones that carried the fragments of interest. These clones were sub-cultured in liquid Luria Bertini (LB) media containing ampicillin (100 μg/ml) for plasmid mini-preparations. Plasmid DNA was purified using QIAprep® spin miniprep kit (QIAGEN GmbH, Germany) as described by the manufacturer.

Plasmid DNA harbouring the inserts was digested with Bgl11 restriction endonuclease to confirm fragment size. Samples that had the desired inserts were sequenced using one of the pJET1.2 primers. The sequence quality was checked using Sequence Scanner v. 1.0 (Applied Biosystems®) and sequence alignment was done with ClustalX v. 2 [34]. The aligned sequences were manually edited using BioEdit© version 7.0 [35].

The sequences of the 811_1400 and 884_200 fragments were used to design new primers to amplify SCAR markers SCAR_811 and SCAR_884, respectively. Primers were designed by extending the ISSR primers so that the 3′-end of the primers contain SNPs that differentiated the tolerant and sensitive sorghum genotypes. Primer3 (an online primer designing program (http://primer3.ut.ee) was also used to design alternative primers. Different combinations of primers were tested for optimal amplification of the corresponding SCAR markers.

The PCR for SCAR_884 was performed in a volume of 50 μl containing 50 ng of template DNA, 1× PCR buffer, 3.5 mM MgCl2, 0.1 mM dNTPs, 0.5 μM of each primer and 1 U of Taq DNA polymerase. The reactions were carried out in GeneAmp® PCR System 9700 Thermal Cycler with an initial denaturation step at 94 °C for 3 min, followed by 30 cycles at 94 °C for 1 min, 61 °C for 1 min, and 72 °C for 2 min, followed by final extension step at 72 °C for 7 min. The reaction mixtures and PCR conditions for SCAR_811 were similar to those of SCAR_884 except that the concentration of MgCl2 was 2 mM and the annealing temperature was 65 °C.

Data scoring and statistical analysis

The bands for ISSR, STS and SCAR markers were scored as present (1) or absent (0) whereas the SSR marker fragments were scored as either parental allele (A or B),or heterozygous for both alleles (AB). All phenotypic data were subjected to analysis of variance (ANOVA) using SPSS® and means were separated using Tukey’s test at 5% significance level. The association of individual marker with Al tolerance was tested with one-way analysis of variance and linear regression analysis, with a threshold significance level of P ≤ 0.05. When a significant difference was found between the genotypic groups, a pairwise comparison was made using Tukey’s test. For those markers that showed significant association with aluminium tolerance when analyzed individually, multiple linear regression analysis was conducted to check for collinearity between the markers. The Chi-square goodness-of-fit test for the Mendelian segregation of the alleles of each marker was also conducted for the F2:3 population (Table 2).

Table 2 Simple and multiple linear regression analysis of 229 F2:3 progeny plants for the association between marker-based genotypes and net root length in aluminium (NRLAl) and percent relative root growth (%RRG); and Chi-square goodness- of-fit test for Mendelian segregation of the markers

Results

Response of parental lines and their progenies to aluminium stress

The root growth in the two parental sorghum lines, Seredo and ICSR 110, exhibited significantly different responses (p < 0.05) to the Al stress at 148 μM Al (Figs. 1 and 2). ICSR 110 was tolerant with only 15% reduction in root growth, whereas Seredo had 53% reduction in root growth. The net root growth in aluminium and percentage of relative root growth were strongly correlated (r2 = 0.70). Based on the variation in net growth of the sensitive parent, the F2:3 progeny plants with net root growth of 4.0 cm or less were classified as sensitive. Those that had net root growth ranging between 4.0 cm and 5.0 cm were classified as moderately tolerant, while progeny plants with a net root growth above 5.0 cm were classified as tolerant to Al stress. Based on this criterion, among the 229 F2:3 population, 98, 58 and 73 individuals were tolerant, moderately tolerant and sensitive, respectively.

Fig. 1
figure 1

Frequency distribution of NRLAl of 229 F2:3 progeny derived from a cross between Seredo, an aluminium sensitive sorghum line, and ICSR 110, an aluminium tolerant line. The NRLAl mean values for Seredo and ICSR 110 were 3.8 (n = 40) and 6.0 (n = 40), respectively as shown by the arrows

Fig. 2
figure 2

Frequency distribution of %RRG of 229 F2:3 progeny derived from a cross between Seredo, an aluminium sensitive sorghum line, and ICSR 110, an aluminium tolerant line. The %RRGs of the parental lines are shown by the arrows for comparison

The molecular markers associated with tolerance to Aluminium toxicity

Ten of the fifty ISSR primers amplified fragments that were polymorphic between the two parental lines. Preliminary analysis of the ten polymorphic markers using 21 Al tolerant and 21 Al sensitive F2:3 progeny revealed that ISSR_811, ISSR_835 and ISSR_884 primers amplified three fragments of approximately 1400 bp, 200 bp and 200 bp, respectively, having uneven distribution among aluminium tolerant and sensitive progenies. After genotyping, the remaining 187 F2:3 progeny plants were genotyped with these primers. The analysis of phenotypic and genotypic data from the 229 F2:3 progeny revealed significant association of these markers with tolerance to Al toxicity (Table 2). The 811_1400 fragment was specific to Seredo and found in most Al sensitive progeny. On the other hand, the 835_200 and 884_200 amplified fragments showed significant association with aluminium tolerance.

Basic Local Alignment Search Tool (BLAST) was used to search the GenBank (https://www.ncbi.nlm.nih.gov/genbank/) and the Gramene (http://www.gramene.org) databases to locate the genomic positions of these markers within the sorghum genome. The BLAST searching of 811_1400 marker sequence in the Gramene database resulted in a sorghum sequence that share 1386 bp (with 99.6% sequence identity) with 811_1400 on chromosome 3 at position 71,512,250–71,513,635 bp. The corresponding position of this marker on sorghum chromosome 3 (GenBank accession number NC_012872.2) is 71,473,923–71,475,318 bp (Table 2).

Two sequences that shared 116 bp and 115 bp (both with 100% sequence identity) with 884_200 were found through BLAST searching of Gramene database. These sequences are located on chromosome 6 at positions 42,646,793–42,646,908 bp and 42,646,902–42,647,016 bp, respectively, and the two sequences together cover the whole sequence of the marker 884_200. These sequences have an overlapping sequence with a gene, Sb06g015330, that codes for putative uncharacterized protein Sb06g015330 (source: UniProtKB/TrEMBL; Acc: C5YFS2_SORBI; cited at http://www.gramene.org). The corresponding position of marker 884_200 on sorghum chromosome 6 (GenBank accession number NC_012875.2) is 42,689,435–42,689,555 bp (Table 2). Similarly, two sequences that shared 155 bp and 72 bp (with 92.9 and 98.6% sequence identity, respectively) with 835_200 were found through BLAST searching of Gramene database. These sequences are located on chromosome 10 at position 56,232,617–56,232,771 bp and 56,232,771–56,232,842 bp, respectively. The corresponding position of marker 835_200 on sorghum chromosome 10 (GenBank accession number NC_012879.2) is 56,491,522–56,491,702 bp (Table 2). Hence, markers 811_1400, 884_200 and 835_200 are located on chromosomes 3, 6 and 10, respectively. Of these markers, 811_1400 and 884_200 were converted into SCAR markers SCAR_811 and SCAR_884, respectively.

The first attempt to develop SCAR marker based on the sequence of 811_1400 fragment was by using forward and reverse primers that were developed through extending the sequence of ISSR_811 primer. These primers amplified fragments of the same size in both parents and their progeny. DNA sequencing of the fragments from tolerant and sensitive parents revealed two SNP sites that differentiate the parents (Table 3). One of these SNPs was targeted to design the forward primer in order to get amplified product specific to the sensitive parent, Seredo. The use of a forward primer that included the SNP site and a reverse primer that was designed by extending the ISSR_811 primer resulted in the development of a polymorphic marker, SCAR_811. Fig. 3 shows the SCAR_811 marker segregation in the F2:3 progeny and parents. The Chi-square goodness-of-fit test showed Mendelian segregation of this marker among the F2:3 progeny (χ2 = 0.14; P = 0.71; Table 2). The sensitive parental line and most of the sensitive F2:3 progeny bear SCAR_811 whereas the marker is absent in the tolerant parent ICSR 110 and most of the tolerant progeny showing the association between the SCAR_811 marker and tolerance to Al toxicity. This marker explained 10% of the variation in NRLAl (R2 = 0.10; P < 0.001) and 4% of %RRG (R2 = 0.04; P < 0.01) in the F2:3 progeny (Table 2).

Table 3 Partial DNA sequences of ICSR 110 and Seredo parental lines sequenced by primers designed based on the DNA sequence of 811_1400 marker that was amplified in Seredo but not in ICSR 110
Fig. 3
figure 3

Segregation of SCAR_811 marker in aluminium tolerant (lanes 4–18) and sensitive (lanes 22–35) F2:3 progeny. The F1s are on lanes 19–21 and the parental lines Seredo and ICSR 110 are on lanes 1–3 and 36–38, respectively

The primers for SCAR_884 were developed by excluding the first three nucleotides at the 5′-end of ISSR_884 primer and extending the sequence at the 3′-end. The 884_200 fragment was specific to ICSR 110 parental line. However, the newly designed SCAR_884 primer-pairs amplified fragments both in Seredo and ICSR 110 but of different fragment sizes. Sequencing of these fragments revealed that the fragment from Seredo had a 220 bp insertion. All F1 individuals produced from the Seredo x ICSR 110 crosses had both fragments and hence the SCAR_884 marker is co-dominant and can be used to differentiate homozygotes and heterozygotes at this locus. This marker showed significant association with Al tolerance (P < 0.05) when analyzed using both NRLAl (R2 = 0.017) and %RRG (R2 = 0.025) indices.

Analysis of the parental lines and some of their F2:3 progeny using STS markers M181 and CTG29 produced fragments of the same size for each marker, and could not be used to differentiate the tolerant and sensitive lines. Hence, the PCR products of the parental lines as well as five most tolerant and four most sensitive F2:3 progeny were sequenced for both markers in an attempt to identify useful sequence variation. The DNA sequences of marker M181 were identical for all genotypes sequenced whereas a two base pair indel (GA/−) that differentiated the sensitive and tolerant parents was observed in the case of CTG29 (Table 4). Based on these sequences, a new dominant marker, designated as CTG29_3b (Table 2), was developed by designing a new forward primer that included the indel sequence. The CTG29_3b marker amplified by this forward primer and the CTG29 reverse primer was present in ICSR 110 and most tolerant F2:3 progeny and absent in Seredo and most sensitive F2:3 progeny. The association of this marker with Al tolerance when analyzed based on NRLAl (R2 = 0.048) and %RRG (R2 = 0.040) is significant (P < 0.005) (Table 2).

Table 4 Partial DNA sequence of STS locus CTG29 showing indels that differentiated the aluminium tolerant F2:3 progenies (15r, 15A2, 21a, 15 m, 21 h, 15v and 42c) and parental line ICSR 110 from aluminium sensitive F2:3 progeny (60f, 59a, 689, 693) and parental line Seredo

The BLAST searching of CTG29-3b sequence against the sorghum genome sequence at http://www.gramene.org identified a sequence that share 177 bp (with 100% sequence similarity) with CTG29-3b at position 70,979,101–70,979,277 bp on chromosome 3, in agreement with previous reports [23, 24]. The corresponding position of this marker on sorghum chromosome 3 (GenBank accession number NC_012872.2) is 70,939,651–70,939,834 bp (Table 2). Overall, single marker analysis revealed that the mean net root length of the different genotypic groups for each of the four dominant markers (811_1400, 835_200, 884_200, CTG29_3b) was significantly different (Fig. 4).

Fig. 4
figure 4

Net root length of sorghum F2:3 progeny grown in the presence of 148 μM aluminium based on the different genotypic classes for four dominant markers (811_1400, 835_200, CTG29_3b and 884_200). For each locus, genotypes with different letters indicated on top of the bars were significantly different from each other in their tolerance to Al toxicity. The error bars represent standard error values

In the case of SSR, polymorphism was detected in nine out of the 24 loci analyzed for the parents. Data analysis based on the 229 F2:3 progeny together with the parental lines revealed that markers from four of the nine loci (Xtxp34, Sb6_34, Sb5_236 and Sb6_342) showed significant association with both NRLAl and %RRG (Table 2; Fig. 5). The mean net root growth of the different genotypic classes, especially the homozygous classes were significantly different (P ≤ 0.05; Fig. 5). For marker Xtxp34, the mean net root lengths of the three genotypic classes were distinctly different (Fig. 5). For markers Sb6_342 and Sb6_34, the heterozygous classes (AB) had mean net root lengths that were intermediate between the homozygous classes and were not significantly different from both homozygous parents (P > 0.05). Whereas the heterozygous class in marker Sb5_236 had mean net root length that was similar to net root length of the B homozygous class. The NRLAl phenotypic variance (R2 values) explained by these SSR markers were 14% for Xtxp34, 6% for Sb6_34, 11% for Sb5_236 and 4% Sb6_342. For %RRG, these values are 7, 2, 5 and 3%, respectively (Table 2). The four markers on chromosome 3 (811_1400, CTG29_3b, Xtxp34 and Sb5_236) together explained 22% of the variation in NRLAl and 12% of the variation in %RRG (P < 0.001). The order of these markers on chromosome 3 (accession number NC_012872.2) is Sb5_236, Xtxp34, CTG29_3b and 811_1400 with 17,426 kbp, 1235 kbp and 532 kbp between them in that order (Fig. 6). The closest marker to the SbMATE gene is CTG29_3b with 166 kbp between them. Overall, the eight markers explained 25% of the variation in NRLAl and 12% of the variation in %RRG (P < 0.001).

Fig. 5
figure 5

Net root length of sorghum F2:3 progeny grown in the presence of 148 μM aluminium based on the different genotypic classes of four codominant markers (Xtxp34, Sb6_342, Sb6_34 and Sb5_236). For each locus, genotypes that share the same letter indicated on top of the bars were not significantly different from each other in their tolerance to Al toxicity. The error bars represent standard error values

Fig. 6
figure 6

Diagrammatic representation of the four markers on chromosome 3 (Sb5_236, Xtxp34, CTG29_3b and 811_1400) showing their order and distance between them in Mbp

Discussion

Several molecular markers that are linked to aluminium tolerance genes have been identified in different crops. In rye, three AFLP markers [36] that are linked to gene Alt3 and two RAPD markers that were converted to SCAR markers [37], flank Alt1 gene. In maize, RFLP and SSR markers linked to Al tolerance QTLs have been reported [38]. Raman et al. [39] identified AFLP and microsatellite markers linked to the aluminium tolerance gene located on chromosome 4H in barley. The identification of molecular markers linked to Al tolerance in sorghum through genetic linkage, QTL and association mapping can accelerate the development of high yielding varieties that can withstand Al stress [14, 23,24,25,26,27]. Three ISSR (811_1400, 835_200 and 884_200), one STS (CTG29_3b) and four SSR (Xtxp34, Sb6_34, Sb5_236 and Sb6_342) markers showed significant association with aluminium tolerance in this study. Four of these markers (811_1400, CTG29_3b, Xtxp34 and Sb5_236) are located on chromosome 3 whereas markers 884_200, Sb6_342, Sb6_34 and 835_200 are located on chromosomes 6, 7, 8 and 10, respectively.

Genes that regulate Al tolerance in plants are shown to have different mode of actions. In rice, two genes that were referred to as sensitive to Al rhizotoxicity1 and 2 (STAR1 and STAR2) were reported to function as an ATP binding cassette (ABC) transporter and have significant contribution in Al tolerance [40]. Yamaji et al. [41] reported a C2H2-type zinc finger transcription factor, Al resistance transcription factor 1 (ART1), which regulates the expression of genes related to Al tolerance in rice, including STAR1 and STAR2. In line with these studies, the present study suggests the involvement of several genes in regulating Al tolerance in sorghum, as the markers that showed significant association with Al tolerance are located on five different chromosomes.

To date, only one Al tolerance locus, Alt SB , which underlies the SbMATE gene in sorghum, has been identified and mapped to the terminal region of chromosome 3 and characterized in detail [14, 24, 27]. The SbMATE gene, codes for aluminium-activated citrate transporter that is highly expressed in root apices of aluminium-tolerant sorghum lines [14]. Caniato et al. [27] developed functional markers within the SbMATE gene that can be used for marker assisted selection for aluminium tolerance. In this study, two STS markers CTG29 and M181 that are located at 0.2 cM and 0 cM from Alt SB [14] were tested on Al tolerant and Al sensitive parental lines. STS M181 was monomorphic and could not be used in the genotyping of the Seredo x ICSR 110 F2:3 progeny. The CTG29_3b dominant marker that was successfully developed using the nucleotide polymorphic site, showed significant association with Al tolerance and therefore suggests the role of Alt SB in contributing to Al tolerance in the population studied.

SSRs can be used in cultivar genotyping, genotype identification, genetic diversity assessment and marker-assisted breeding [27, 42]. Matos et al. [43] developed EST-SSRs that are associated with aluminium tolerance in rye. The SSR markers that showed significant association with Al tolerance in the present study are located on chromosomes 3, 7 and 8. SSR marker Xtxp34 has been mapped to chromosome 3 [41, 44]. Sb6_342 was mapped to chromosome 7 [44] whereas Sb5_236 was mapped to chromosome 3 [41, 44], both of which were confirmed in the present study through BLAST searching of the sorghum genome. Similarly, the SSR marker Sb6_34 was located on chromosome 8 through BLAST search. These results indicate that in addition to SbMATE, other genes are involved in conferring Al tolerance in sorghum. Hence, there is a need to build on these findings by screening more markers close to the identified SSRs to ascertain the presence of new Al tolerance genes in these regions.

The ISSR_811 primer amplified a distinct locus of about1400 bp (811_1400) that differentiated the two parents and also showed a significant association with aluminium tolerance in the F2:3 population studied. This marker is located close to SbMATE gene on chromosome 3 with about 366 kbp between them (Fig. 6), and hence the phenotypic variance of the aluminium tolerance indices explained by this marker is most likely due to SbMATE gene. However, 811_1400 (SCAR_811) is also located very close to Calmodulin-Binding Transcription Activator 4 (CAMTA4) on this chromosome with only 7.3 kbp between them. CAMTA2 is an activator of Al inducible ALMT1 expression in Arabidopsis AtALMT1 [45]. Marker CTG29-3b is located closer to SbMATE gene (with only 166 kbp between them) than marker 811_1400. However, 811_1400 explained more phenotypic variance (R2 = 0.10) than CTG29_3b (R2 = 0.04) in NRLAl, in this study. This may suggest the role of CAMTA4 in regulating SbMATE gene in sorghum.

The other two markers on chromosome 3 are located relatively far from SbMATE with 17.4 Mbp (Xtxp34) and 1.2 Mbp (Sb5_236) when compared with the locations of CTG29_3b and 811_1400. However, these markers explained higher phenotypic variance of the aluminium tolerance indices than CTG29_3b and 811_1400, which may suggest the presence of other genes around the vicinity of these markers that influence Al tolerance in sorghum. It is interesting to note that any pair of these markers on chromosome 3 explained more phenotypic variance than the variance they explained separately (data not shown) suggesting the independence of these markers in their contribution to Al tolerance. The four markers together explained 22% of the variance in NRLAl and 12% in %RRG (Table 2), which is higher than the variance explained by any three or two or one of these markers. Hence, combined use of these markers together with markers on other chromosomes is a preferable approach in screening sorghum genetic resources for tolerance to Al toxicity.

The homeologous relationships between genomes of various cereals have been established [39, 46,47,48,49,50]. Previous studies [46,47,48,49] have shown that the long arm of wheat chromosome 4D (4DL) is partially homologous to the proximal portion of the short arm of rye chromosome 7R. Moreover, barley chromosome arm 4HL is homologous to the wheat chromosome arm 4DL [39] and a consensus grass comparative map has shown that rice chromosome 3 is homologous to wheat chromosome four [50]. An Aluminium-activated malate transporter 1-like (ALMT1-like) gene (LOC110436609) is located at position 43,835,494–43,840,158 bp on sorghum chromosome 6 (accession number Nc_012875.2). Marker 884_200 (SCAR_884) that showed significant association with aluminium tolerance in this study is located at position 42,689,435–42,689,555 bp on this chromosome. Since this marker is located close to ALMT1-like gene with only about 1.1 Mbp between them, and a strong positive correlation between Al induced malate exudation and relative net root growth has already been shown in sorghum [51], the significant association of this marker with aluminium tolerance is likely due to the role of ALMT1-like gene in Al tolerance. This also suggests that the sorghum ALMT1-like gene is an orthologue of ALMTI, as ALMTI gene that encodes Al activated malate transporter is known to regulate aluminium tolerance in wheat, barley and rye [17, 52, 53]. Hence, it is important that this gene is investigated in detail in relation to aluminium tolerance in sorghum.

Conclusion

The four markers on chromosome 3 (811_1400 or SCAR_811, CTG29_3b, Xtxp34 and Sb5_236) suggest the role of Alt SB locus (SbMATE gene) in Al tolerance in the sorghum population used in the present study. However, their positions on chromosome 3 in relation to the position of SbMATE and the phenotypic variance explained by each of these markers suggest the presence of other genes on this chromosome that play a role in aluminium tolerance in sorghum. The presence of four other markers on different chromosomes that showed significant association with aluminium tolerance suggests the presence of additional genes that contribute to this trait in sorghum. Since the eight markers together explained higher phenotypic variance of the two Al tolerance indices than what explained by individual markers or any other combination of markers, the use of all markers in screening sorghum germplasm for Al tolerance is recommended.

References

  1. Kindraide TB, Parker DR. Assessing the phytotoxicity of mononuclear hydroxyl-aluminum. Plant Cell and Environ. 1989;12:479–87.

    Article  Google Scholar 

  2. Ryan PR, Tyerman SD, Sasaki T, Furuichi T, Yamamoto Y, Zhang WH, Delhaize E. The identification of aluminium-resistance genes provides opportunities for enhancing crop production on acid soils. Exp Bot. 2011;62:9–20.

    Article  CAS  Google Scholar 

  3. Famoso AN, Clark RT, Shaff JE, Craft E, Mccouch SR, Kochian LV. Development of a novel aluminium tolerance phenotyping platform used for comparisons of cereal aluminium tolerance and investigations into rice aluminium tolerance mechanisms. Plant Physiol. 2010;153:1678–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Horst WJ, Wang YX, Eticha D. The role of the root apoplast in aluminium-induced inhibition of root elongation and in aluminium resistance of plants: a review. Ann Bot. 2010;106:185–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Samac DA, Tesfaye M. Plant improvement for resistance to aluminium in acid soils-a review. Plant Cell Tissue Organ Cult. 2003;75:189–207.

    Article  CAS  Google Scholar 

  6. Jansen S, Broadley MR, Robbrecht W, Smets E. Aluminium hyper accumulation in angiosperms: a review of its phylogenetic significance. Bot Rev. 2002;68:235–69.

    Article  Google Scholar 

  7. Kanyanjua SM, Iren I, Wambua S, Nandwa SM. Acidic soils in Kenya: constraints and remedial options. KARI Technical Notes Series No. 2002:11.

  8. Obura PA. Effects of soil properties on bioavailability of aluminium and phosphorus in selected Kenyan and Brazilian soils. PhD thesis, Purdue University. In: USA; 2008.

    Google Scholar 

  9. Wortmann CS, Mamo M, Abebe G, Mburu C, Kayuki KC, Letayo E, Xerinda S. Atlas of sorghum (Sorghum bicolor (L.) Moench) production in five countries of eastern Africa. The Board of Regents of the University of Nebraska, Lincoln, USA; 2006.

  10. Hiradate S, Ma JF, Matsumoto H. Strategies of plants to adapt to mineral stresses in problem soils. Adv Agron. 2007;96:65–132.

    Article  CAS  Google Scholar 

  11. Naumann A, Horst WJ. Effect of aluminium supply on aluminium uptake, translocation and blueing of Hydrangea macrophylla (Thunb.) Ser. Cultivars in a peat-clay substrate. J Hort Sci Biotechnol. 2003;78:463–9.

    Article  CAS  Google Scholar 

  12. Ma JF, Ryan PR, Delhaize E. Aluminium resistance in plants and the complexing role of organic acids. Trends Plant Sci. 2001;6:273–8.

    Article  CAS  PubMed  Google Scholar 

  13. Guo TR, Zhang GP, Zhang YH. Physiological changes in barley plants under combined toxicity of aluminium, copper and cadmium. Colloid Surface B. 2007;57:182–8.

    Article  CAS  Google Scholar 

  14. Magalhaes JV, Liu J, Guimaraes CT, Lana UGP, Alves VMC, et al. A gene in the multidrug and toxic compound extrusion (MATE) family confers aluminium resistance in sorghum. Nat Genet. 2007;39:1156–61.

    Article  CAS  PubMed  Google Scholar 

  15. Cambraia J, Galvani FR, Estevao MM. Effects of aluminium on organic acid, sugar and amino acid composition of the root system of sorghum (Sorghum bicolor, L. Moench). J Plant Nutr. 1983;6:313–22.

    Article  CAS  Google Scholar 

  16. Gonçales JFC, Cambraia J, Mosquim PR, Araújo EF. Aluminium effect on organic acid production and accumulation in sorghum. J Plant Nutr. 2005;28:507–20.

    Article  Google Scholar 

  17. Sasaki T, Yamamoto Y, Ezaki B, Katsuhara M, Ahn S, et al. A wheat gene encoding an aluminum-activated malate transporter. Plant J. 2004;37:645–53.

    Article  CAS  PubMed  Google Scholar 

  18. Furukawa J, Yamaji N, Wang H, Mitani N, Murata Y, et al. An aluminum-activated citrate transporter in barley. Plant Cell Physiol. 2007;48:1081–91.

    Article  CAS  PubMed  Google Scholar 

  19. Flores CI, Clark RB, Gourley LM. Growth and yield traits of sorghum grown on acid soil at varied aluminum saturations. Plant Soil. 1988;106:49–57.

    Article  CAS  Google Scholar 

  20. De Sousa CAN. Classification of Brazilian wheat cultivars for aluminium toxicity in acid soils. Plant Breed. 1998;117:217–21.

    Article  CAS  Google Scholar 

  21. Bouton JH, Sumner ME. Alfalfa, Medicago sativa L., in highly weathered, acid soils. V. Field performance of alfalfa selected for acid tolerance. Plant Soil. 1983;74:431–6.

    Article  CAS  Google Scholar 

  22. Mariano ED, Keltjens WG. Evaluating the role of root citrate exudation as a mechanism of aluminium resistance in maize genotypes. Plant Soil. 2003;256:469–79.

    Article  CAS  Google Scholar 

  23. Caniato FF, Guimaraes CT, Schaffert RE, Alves VMC, Kochian LV, Boren A, Klein PE, Magalhaes JV. Genetic diversity for aluminium tolerance in sorghum. Theor Appl Genet. 2007;114:863–76.

    Article  CAS  PubMed  Google Scholar 

  24. Magalhaes JV, Garvin DF, Wang Y, Sorrels ME, Klein PE, Schaffert RE, Li L, Kochian LV. Comparative mapping of a major aluminium resistance gene in sorghum and other species of the poaceae. Genetics. 2004;167:1905–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Caniato FF, Guimarães CT, Hamblin M, Billot C, Rami J-F, et al. The relationship between population structure and aluminum tolerance in cultivated sorghum. PLoS One. 2011;6(6):e20830. https://doi.org/10.1371/journal.pone.0020830.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Leiser WL, Rattunde HFW, Weltzien E, Cisse N, Abdou M, Diallo A, Tourè AO, Magalhaes JV, Haussmann BIG. Two in one sweep: aluminum tolerance and grain yield in P-limited soils are associated to the same genomic region in west African sorghum. BMC Plant Biol. 2014;14:206.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Caniato FF, Hamblin MT, Guimaraes CT, Zhang Z, Schaffert RE, et al. Association mapping provides insights into the origin and the fine structure of the sorghum aluminum tolerance locus, AltSB. PLoS One. 2014;9(1):e87438. https://doi.org/10.1371/journal.pone.0087438.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Magnavaca R, Gardner C, Clark R. Comparison of maize populations for aluminium resistance in nutrient solution. In: Gabelman H, Loughman BC, editors. Genetic aspects of plant mineral nutrition. Dordrecht. Netherlands: Martinus Nijhoff; 1987. p. 189–99.

    Chapter  Google Scholar 

  29. Ringo JH, Mneney EE, Onkware AO, Were BA, Too EJ, Owuoche JO, Gudu SO. Tolerance to Aluminium toxicity in Tanzanian sorghum genotypes. Afr Crop Sci J. 2010;18:155–64.

    Google Scholar 

  30. Bekele E, Geleta M, Dagne K, Jones AL, Barnes I, Bradman N, Thomas MG. Molecular phylogeny of genus Guizotia (Asteraceae) using DNA sequences derived from ITS. Genet Resour Crop Evol. 2007;54:1419–27.

    Article  CAS  Google Scholar 

  31. Don R, Cox P, Wainwright B, Baker K, Mattick J. “Touchdown” PCR to circumvent spurious priming during gene amplification". Nucleic Acids Res 1991;19:4008.

  32. Geleta M, Bryngelsson T. Inter simple sequence repeats (ISSR) analysis of genetic diversity and population genetic structure of Lobelia rhynchopetalum (Hochest.) Hemsel. (Campanulaceae). Hereditas 2009;146:122–130.

  33. Sanguinetti CJ, Dias NE, Simpson AJ. Rapid silver staining and recovery of PCR products separated on polyacrylamide gels. BioTechniques. 1994;17:914–21.

    CAS  PubMed  Google Scholar 

  34. Larkin MA, Blackshields G, Brown NP. Clustal W and Clustal X version 2.0. Bioinformatics. 2007;23:2947–8.

    Article  CAS  PubMed  Google Scholar 

  35. Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis programme of windows 95/98/NT. Nucl Acids Symp Ser. 1999;41:95–8.

    CAS  Google Scholar 

  36. Miftahudin G, Scoles J, Gustaffson JP. AFLP markers tightly linked to the aluminium-resistance gene Alt3 in rye (Secale cereale L.). Theor Appl Genet 2002;104:626–631.

  37. Gallego FJ, Calles B, Benito C. Molecular markers linked to the aluminium resistance gene Alt1 in rye (Secale cereale, L.). Theor Appl Genet 1998;97:1104–1109.

  38. Ninamango-Cárdenas FE, Guimarães C, Martins P, Parentoni S, Carneiro N, Lopes M, Moro J, Paiva E. Mapping QTLs for aluminium resistance in maize. Euphytica. 2003;130:223–32.

    Article  Google Scholar 

  39. Raman H, Moroni JS, Sato K, Read BJ, Scott BJ. Identification of AFLP and microsatellite markers linked with aluminium resistance gene in barley (Hordeum vulgare, L). Theor Appl Genet. 2002;105:458–64.

    Article  CAS  PubMed  Google Scholar 

  40. Huang CF, Yamaji N, Mitani N, Yano M, Nagamura Y, Ma JF. A bacterial-type ABC transporter is involved in aluminum tolerance in rice. Plant Cell. 2009;21:655–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Yamaji N, Huang CF, Nagao S, Yano M, Sato Y, Nagamura Y, Ma JF. A zinc finger transcription factor ART1 regulates multiple genes implicated in aluminum tolerance in rice. Plant Cell. 2009;21:3339–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Gupta PK, Varshney RK. The development and use of microsatellite markers for genetic analysis and plant breeding with emphasis on bread wheat. Euphytica. 2000;113:163–85.

    Article  CAS  Google Scholar 

  43. Matos M, Pérez-Flores V, Camacho MV, Pernaute B, Pinto-Carnide O, Benito C. Detection and mapping of SSRs in rye ESTs from aluminium-stressed roots. Mol Breed. 2007;20:103–15.

    Article  CAS  Google Scholar 

  44. Menz MA, Klein RR, Mullet JE, Obert JA, Unruh NC, Klein PE. A high density genetic map of Sorghum bicolor (L) Moench based on 2926 AFLP, RFLP and SSR markers. Plant Mol Biol. 2002;48:483–99.

    Article  CAS  PubMed  Google Scholar 

  45. Tokizawa M, Kobayashi Y, Saito T, Kobayashi M, Iuchi S, et al. Sensitive to proton Rhizotoxicity1, calmodulin binding transcription activator 2, and other transcription factors are involved in aluminum-activated malate Transporter1 expression. Plant Physiol. 2015;167:991–1003.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Naranjo T, Fernández-Rueda P. Homoeology of rye chromosome arms to wheat. Theor Appl Genet. 1991;82:577–86.

    Article  CAS  PubMed  Google Scholar 

  47. Rognli OA, Devos KM, Chino CN, Harcourt RL, Atkinson MD, Gale MD. RFLP mapping of rye chromosome 7R reveals a highly translocated chromosome relative to wheat. Genome. 1992;35:1026–31.

    Article  CAS  Google Scholar 

  48. Devos KM, Atkinson MD, Chinoy CN, Francis HA, Harcourt RL, Koebner RMD, Liu CJ, Masojc P, Xie DX, Gale MD. Chromosomal rearrangements in the rye genome relative to that of wheat. Theor Appl Genet. 1993;85:673–80.

    Article  CAS  PubMed  Google Scholar 

  49. Naranjo T, Fernández-Rueda P, Maestra B. Chromosome rearrangements and homoeologous pairing: implications for the introgression of alien genes into wheat. In: Current topics in plant cytogenetics related to plant improvement Lelley T, editor. WUV-Univeitätsverlag, Austria;1997. p. 198–205.

  50. Gale MD, Devos KM. Comparative genetics in the grasses. Proc Natl Acad Sci U S A. 1998;95:1971–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Cheprot RK, Matonyei TK, Maritim KK, Were BA, Dangasuk OG, Onkware AO, Gudu S. Physiological characterization of Kenyan sorghum lines for tolerance to aluminium. Int J Nat Sci Res. 2014;2:59–71.

    Google Scholar 

  52. Fontecha G, Silva-Navas J, Benito C, Metres MA, Espino FJ, Hernandez-Riquer MV, Gallego FJ. Candidate gene identification of an aluminum-activated organic acid transporter gene at the Alt4 locus for aluminum resistance in rye (Secale cereale, L.). Theor Appl Genet 2007;114:249–260.

  53. Collins NC, Shirley NJ, Saeed M, Pallotta M, Gustafson JP. An ALMTI gene cluster controlling aluminum resistance at the Atl4 locus of rye (Secale cereale L.). Genetics 2008;179:669–682.

  54. Smith JSC, Kresovich S, Hopkins MS, Mitchel SE, Dean RE, Woodman WL, Lee M, Porter K. Genetic diversity among elite sorghum inbred lines assessed with simple sequence repeats. Crop Sci. 2000;40:226–32.

    Article  CAS  Google Scholar 

  55. Kong L, Dong J, Hart GE. Characteristics, linkage-map positions, and allelic differentiation of Sorghum bicolor (L) Moech DNA simple sequence repeats (SSRs). Theor Appl Genet 2000;101:438–448.

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Acknowledgments

This work was supported by the Swedish International Development Agency (SIDA/SAREC) through the BIO-EARN program and the Swedish University of Agricultural Sciences (SLU) through funding from the Swedish Ministry of Foreign Affairs as part of its special allocation on global food security (UD40). The authors are grateful to ICRISAT and MUSRT for providing the sorghum seeds. We confirm that none of the coauthors have conflict of interest to declare.

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EJT conducted the lab work and data analysis and drafted the manuscript. SG and BAW were involved in selecting the parental lines and developing the mapping population. OAO was involved in the physiology aspects. AC contributed to the development of molecular markers. MG contributed to the lab work, data analysis and last stage revision of the manuscript. All co-authors contributed to the interpretation of the results and critically reviewed the manuscript at its initial stage and read and approved final version of manuscript for publication.

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Correspondence to Mulatu Geleta.

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Too, E.J., Onkware, A.O., Were, B.A. et al. Molecular markers associated with aluminium tolerance in Sorghum bicolor. Hereditas 155, 20 (2018). https://doi.org/10.1186/s41065-018-0059-3

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