Mapping of quantitative trait loci related to primary rice root growth as a response to inoculation with Azospirillum sp. strain B510

ABSTRACT

Azospirillum sp. strain B510 has been known as the plant growth-promoting endophyte; however, the growth-promotion effect is dependent on the plant genotype. Here, we aimed to identify quantitative trait loci (QTL) related to primary root length in rice at the seedling stage as a response to inoculation with B510. The primary root length of “Nipponbare” was significantly reduced by inoculation with B510, whereas that of “Kasalath” was not affected. Thus, we examined 98 backcrossed inbred lines and four chromosome segment substitution lines (CSSL) derived from a cross between Nipponbare and Kasalath. The primary root length was measured as a response to inoculation with B510, and the relative root length (RRL) was calculated based on the response to non-inoculation. Three QTL alleles, qRLI-6 and qRLC-6 on Chromosome (Chr.) 6 and qRRL-7 on Chr. 7 derived from Kasalath increased primary root length with inoculation (RLI), without inoculation, (RLC) and RRL and explained 20.2%, 21.3%, and 11.9% of the phenotypic variation, respectively. CSSL33, in which substitution occurred in the vicinity region of qRRL-7, showed a completely different response to inoculation with B510 compared with Nipponbare. Therefore, we suggest that qRRL-7 might strongly control root growth in response to inoculation with Azospirillum sp. strain B510.

Introduction

Bacterial endophytes ubiquitously colonize the internal tissues of plants worldwide [1]. The beneficial effects of endophytes on host plants, such as increased crop yield and protection from pathogens, have been well characterized [1,2]. The genus Azospirillum [3] promotes plant growth and is thus used as a plant-promoting agronomic application [4]. Azospirillum sp. strain B510 was isolated from the surface-sterilized stem of a rice plant (Oryza sativa L.) [5]. This bacterium can increase the disease resistance of the host plant [6] and promote the growth of newly generated leaf and shoot biomass in rice plants under greenhouse conditions [7]. Under field conditions, Azospirillum sp. B510 increases tiller numbers in rice, resulting in grain yield increases of 17% [7]. However, inoculation with Azospirillum sp. B510 can reduce rice plant growth depending on plant genotype and environmental conditions; inoculation with Azospirillum sp. B510 significantly increased the tiller number in most indica cultivars, whereas tiller numbers in several japonica cultivars were significantly decreased under standard nitrogen fertilization [8]. These results suggested that yield enhancements could be link to the combinations of strains and host plant genotypes as well as nitrogen fertilization level. Indeed, inoculation of 12 mustard (Brassica juncea L.) genotypes with a mixture of Azospirillum strains showed biomass changes of – 30% to 160%, compared with the control [9]. The differential growth yields depended on strain-host genotype combinations were also observed in maize, wheat, and rice [10–12]. They are likely controlled via strong interactions between the plant and Azospirillum. However, the molecular mechanisms or genetic loci associated with responses to inoculation with Azospirillum strains in different rice cultivars have not yet been identified.

Colonization studies suggested that endophytes use the natural cracks at the lateral roots and root hairs emergence site as entry sites in rhizosphere [13–15]. Thus, plant-endophyte interaction actively occurs in the rhizosphere. Successful inoculation results in changes the root morphology and phytohormonal balance which are also attributed to successful inoculation [16]. A. brasilense Sp245 inhibits root growth of wheat, whereas the root length is recovered as similar length to control when a mutant strain lacking indole acetic acid (IAA) productivity is inoculated [17]. These results suggest that the effect on root growth is due to IAA produced by A. brasilense Sp245. Azospirillum inoculation changes the profiles of rice secondary metabolites [18] and the transcriptional level of genes related to auxin and ethylene signaling depend on the combination of bacterial strain and plant genotype [16]. Therefore, root morphology and secondary metabolite profiling such as plant hormones revealed specific responses of host plant to inoculation with Azospirillum strains.

In the present study, we clarified that inoculation of Nipponbare, japonica cultivar, and Kasalath, indica cultivar, with B510 resulted in differences in primary root growth. In Nipponbare, inoculation with B510 showed a negative effect; primary root growth was delayed compared to plants which were not inoculated. In contrast, when Kasalath was inoculated, primary root growth showed little or no change compared to plants without inoculation. To identify quantitative trait loci (QTL) related to the primary root growth in rice we used 98 backcrossed inbred lines (BILs) and four chromosome segment substitution lines (CSSL9, CSSL31, CSSL32, and CSSL33) derived from a cross between Nipponbare and Kasalath. We evaluated primary root growth as an index of response to inoculation with B510. Our results might generate new insights into the interaction of Azospirillum sp. with the host plant.

Materials and methods

Plant materials

A total of 98 BILs and four CSSLs derived from a cross between the indica rice cultivar Kasalath and the japonica rice cultivar Nipponbare were used. These lines were developed by the Rice Genome Project of the National Institute of Agrobiological Sciences, Japan and kindly provided along with information on their genotypic profiles by the Rice Genome Resource Centre (http://www.rgrc.dna.affrc.go.jp/). BILs, CSSLs, and the parental cultivars were grown and harvested in paddy fields of the Experimental Farm Station, Graduate School of Life Sciences, Tohoku University, Kashimadai, Osaki, Miyagi, Japan.

Bacterial inoculation and plant growth condition

Azospirillum sp. B510 was cultured in nutrient broth (Difco Laboratories, Detroit, MI, USA) at 30°C for 16 h, centrifuged at 5,000 rpm for 3 min, washed twice with sterile distilled water, and a bacterial suspension was prepared in sterile water. The bacterial suspension was diluted to 1.3 × 10⁷–1.3 × 10² cells ml⁻¹ to examine the dose response of B510 on the parental cultivars, Nipponbare and Kasalath. A concentration range of 1.6–3.6 × 10⁶ cells ml⁻¹ was used for the inoculation of BILs and CSSLs. Rice seeds were germinated on two filter papers (Toyo Roshi Kaisha Ltd., Tokyo, Japan) in a Petri dish (6 cm in diameter). The filter papers and petri dishes were autoclaved at 121°C for 30 min before use. The seeds by immersion in water at 55°C for 20 min and then, in 2.4% sodium hypochlorite (Wako Pure Chemical Industries, Osaka, Japan) for 15 min. Finally, the seeds were rinsed over 5 times and shaken 3 times for 5 min each with sterile water. Ten seeds were placed on filter papers, inoculated with 5 ml of the bacterial suspension at different concentrations if needed, and incubated at 30°C for 2 d. We treated the seeds with 5 ml of sterile water as a control (without inoculation). A rice seed with or without B510 inoculation was placed on a 0.25% agarose gel (Wako Pure Chemical Industries) with 1/10 strength hydroponic solution [19] in a glass tube and incubated at 26°C for 6 d in a growth chamber (light 16h, dark 8h). Each inoculation experiment was performed with 5 plants. After incubation, the primary root length was measured, and the relative root length was calculated as follows:

Relative root length (RRL) (%) = average of root length with inoculation (RLI)/average of root length without inoculation (RLC) × 100.

Genotyping and QTL analysis

BILs were genotyped using 245 genome-wide restriction fragment length polymorphisms (RFLPs) as described by Lin et al. [20]. Linkage analysis was performed using Mapmaker/EXP 3.0 [21], whereas QTL analysis using QTL Cartographer 2.5 [22]. For composite interval mapping, the log-likelihood (LOD) thresholds (2.9 for root length with inoculation and 3.1 for root length with no inoculation and relative root length) were selected from 1,000 permutations tested at the 5% level. The percentage of total phenotypic variation explained by QTL was estimated for each trait and expressed by the R² value. Two QTL positions on the same chromosome were considered different when the distance of the nearest marker was greater than 10 cM. To confirm the effect of qRRL-7, RLC and RLI were compared in CSSLs substituted with Kasalath segments in the vicinity of region qRRL-7 in a Nipponbare genetic background. Significant differences between RLC and RLI in each CSSL and parental line were calculated using t-tests (n = 10).

Results

The primary root growth of Nipponbare was significantly reduced in response to inoculation with Azospirillum sp. B510 (Figure 1). The primary root growth of Nipponbare in response to inoculation with 10² cells ml⁻¹ was lower than 40 mm, whereas that without inoculation was 118 mm (Figure 1(a,c,e)). In contrast, the primary root growth of Kasalath was slightly decreased with the increasing Azospirillum sp. B510 concentration, but no significant differences were observed (Figure 1(a,d,f). To identify the gene trait loci of primary root growth in response to Azospirillum sp. B510 inoculation, we subsequently inoculated to BILs and CSSLs with this bacterium at the concentration of 10⁶ cells ml⁻¹. Length of primary root growth is used as an index of QTL analysis.

Figure 1.

Root length and relative root length of “Nipponbare” and “Kasalath” seedlings in response to inoculation with Azospirillum sp. strain B510 (10² cells ml⁻¹) compared with the control (without inoculation) at 6 days post-inoculation. (a) Root length of Nipponbare (open circle) and Kasalath (closed circle) seedlings (n = 5); (b) Relative root length of Nipponbare (open bar) and Kasalath (closed bar) seedlings. Nipponbare (c and e) and Kasalath (d and f) seedlings with (c and d) or without (e and f) inoculation.

The frequency distribution of RLI, RLC, and RRL showed continuous variation (Figure 2). Based on this phenotypic variation, QTL analyzes were performed, and two putative QTL associated with RLI, one QTL associated with RLC, and one QTL associated with RRL were detected (Figure 3, Table 1). The putative QTL for RLI were mapped near C724 on Chromosome (Chr.) 1 (qRLI-1) and near R1888 on Chr. 6 (qRLI-6); for RLC near R1608 on Chr. 6 (qRLC-6); and for RRL near R1789 on Chr. 7 (qRRL-7) (Table 1). The alleles qRLI-6, qRLC-6, and qRRL-7 derived from Kasalath increased RLI, RLC, and RRL and explained 20.2%, 21.3%, and 11.9% of the phenotypic variation, respectively (Table 1). The allele qRLI-1 derived from Nipponbare increased RLI and explained 9.7% of the phenotypic variation (Table 1).

Figure 2.

Frequency distribution of (a) root length in response to without inoculation; (b) root length in response to inoculation with Azospirillum sp. strain B510; and (c) relative root length of 98 backcrossed inbred lines derived from a cross between “Kasalath” (black arrowhead) and “Nipponbare” (white arrowhead).

Figure 3.

Mapping of quantitative trait loci (QTL) for root length in response to without inoculation (RLC) or inoculation with Azospirillum sp. strain B510 (RLI), and relative root length (RRL) on a rice linkage map. Black, white, and grey boxes indicate the QTL region for RLI, RLC, and RRL, respectively. Box length indicates the 1-LOD confidence interval of putative QTL. White and black arrowheads show the positions of LOD peaks that indicate positive alleles from “Nipponbare” and “Kasalath,” respectively.

Table 1.

Location and effect of quantitative trait loci (QTLs) related to the root length in response to inoculation or no inoculation with Azospirillum sp. strain B510 and the relative root length.

Trait a	QTL	Chr.	Interval b	LOD	R2 c (%)	A d
RLI	qRLI-1	1	R2414/C724	3.4	9.7	19.6
	qRLI-6	6	R11/R1888	6.2	20.2	−25.1
RLC	qRLC-6	6	R1888/R1608	6.2	21.3	−31.1
RRL	qRRL-7	7	R1789/C596	3.7	11.9	−29.3

^a RLI, root length in response to inoculation; RLC, root length in response to no inoculation, RRL, relative root length

^b The nearest RFLP marker to the QTL is underlined.

^c Proportion of the phenotypic variation explained by the nearest marker of QTL.

^d Additive effect of the allele from Nipponbare compared with that from Kasalath.

* Putative QTLs with significant LOD scores on 1,000 permutations tested at the 5% level.

To confirm the effect of qRRL-7, we compared the primary root growth of Nipponbare, Kasalath, CSSL9, CSSL31, CSSL32, and CSSL33. CSSL9, CSSL31, and CSSL32 showed a significantly lower RLI than RLC, whereas RRL ranged from 0.5% to 12.8% with no significant differences compared with that of Nipponbare. In contrast, the RRL of CSSL33 was 165.4% and significantly different from that of Nipponbare and other CSSLs. Based on the phenotypic and genotypic data of CSSLs, we mapped the location of qRRL-7 between C847 and C213 (Figure 4).

Figure 4.

Graphical representation of the root length of “Nipponbare,” “Kasalath,” and chromosome segment substitution lines (CSSLs) in response to no inoculation (white) or inoculation with Azospirillum sp. strain B510 (grey). Percentages indicate the relative root length of each line. * and *** indicate significant differences between no inoculation and inoculation at P < 0.05 and P < 0.001, respectively.

Discussion

In this study, the primary root growth of Nipponbare and Kasalath responded to inoculation with Azospirillum sp. B510. The bacterium caused a stronger reduction in root length in Nipponbare at much lower inoculum concentrations (10² cells ml⁻¹, Figure 1) but not in Kasalath. The B510 triggers the induction of the genes potentially involved in hormone signaling such as auxin, salicylic acid and ethylene in rice roots, the transcriptional changes of those genes, however, is dependent on rice cultivar [16]. The expression of the genes such as auxin and ethylene signaling genes are downregulated when B510 is inoculated to Nipponbare. These results suggested that root growth inhibition of Nipponbare by B510 could depend on the plant hormones.

We succeeded to map QTL related to primary rice root growth in response to inoculation with Azospirillum sp. B510. On the long arm of Chr. 6, we detected a QTL for RLI (qRLI-6) as well as a QTL for RLC (qRLC-6) based on the phenotypic variation of BILs in the primary root growth in response to with or without B510 inoculation, respectively. These results indicate that qRLC-6 controls the primary root growth at the early seedling stage and probably affects qRLI-6 in this study. In this region, a major QTL, namely qRL6.1, associated with root length has been previously detected in a population derived from a cross between the japonica cultivar Koshihikari and Kasalath [23]. The allele qRL6.1 derived from Kasalath increased the root length in response to various nitrogen concentrations under hydroponic conditions [23]. The allele qRLC-6 might be identical to qRL6.1, since both QTLs are derived from Kasalath and increased the root growth under the different condition such as hydroponic and glass tube conditions. We also detected a QTL for RRL (qRRL-7) that explained the variation in the primary root growth between Nipponbare and Kasalath. Therefore, qRRL-7 might strongly control root growth in response to inoculation with Azospirillum sp. B510 and explain related differences between Nipponbare and Kasalath. The allelic effect of qRRL-7 was also confirmed based on the phenotype of CSSL33 (Table 1, Figure 4). CSSL33, which substituted the vicinity region of qRRL-7, showed completely different response to inoculation with B510 compared with Nipponbare. Based on the phenotypic and genotypic data of CSSLs, we succeeded to map the location of qRRL-7 between C847 and C213 (Figure 4). In the candidate genomic region of qRRL-7, the expression of Os07g0664000 is induced by B510 inoculation in japonica cultivars [16]. Os07g0664000 probably encodes short-chain dehydrogenases/reductases, which are enzymes of the NAD(P)(H)-dependent oxidoreductases family [24]. In the amino acid sequences of Os07g0664000 in Nipponbare and Kasalath, two amino acid substitutions (R55G and R113H) were found between them (Figure S1). These results suggested that those amino acid residues may be involved in the different primary root growth by B510 inoculation. In addition, Os07g0664000 expressed as well by infection with the fungus phytopathogen Magnaporthe oryzae [25]. Therefore, qRRL-7 might be also involved in the interaction of microorganisms, including bacteria and fungi, with the host plant. However, further research is needed to validate whether Os07g0664000 is the responsible gene of qRRL-7 and also reveal the underlying molecular mechanism that controls the root growth in response to Azospirillum sp. B510 inoculation on Nipponbare and Kasalath. To this end, using inoculated CSSL33 with Azospirillum sp. B510 and evaluating agronomic traits, including the tiller number, under paddy field conditions might help to understand the function of qRRL-7.

Overall, inoculation with B510 increased the tiller number of a japonica rice cultivar, resulting in increased grain yield under paddy field conditions [7]. However, the positive effect on the tiller number has been found to depend on rice genotype [8]. Thus, expanding the practical usage of bio-fertilizers, including Azospirillum sp. B510, requires an understanding of the mechanisms of interaction between rice genotypes and inoculants.

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

Supplementary data for this article can be accessed here.