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Aluminum tolerance in maize is associated with higher MATE1 gene copy number.

ABSTRACT: Genome structure variation, including copy number variation and presence/absence variation, comprises a large extent of maize genetic diversity; however, its effect on phenotypes remains largely unexplored. Here, we describe how copy number variation underlies a rare allele that contributes to maize aluminum (Al) tolerance. Al toxicity is the primary limitation for crop production on acid soils, which make up 50% of the world's potentially arable lands. In a recombinant inbred line mapping population, copy number variation of the Al tolerance gene multidrug and toxic compound extrusion 1 (MATE1) is the basis for the quantitative trait locus of largest effect on phenotypic variation. This expansion in MATE1 copy number is associated with higher MATE1 expression, which in turn results in superior Al tolerance. The three MATE1 copies are identical and are part of a tandem triplication. Only three maize inbred lines carrying the three-copy allele were identified from maize and teosinte diversity panels, indicating that copy number variation for MATE1 is a rare, and quite likely recent, event. These maize lines with higher MATE1 copy number are also Al-tolerant, have high MATE1 expression, and originate from regions of highly acidic soils. Our findings show a role for copy number variation in the adaptation of maize to acidic soils in the tropics and suggest that genome structural changes may be a rapid evolutionary response to new environments.

SUBMITTER: Maron LG

PROVIDER: S-EPMC3612656 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

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Aluminum tolerance in maize is associated with higher MATE1 gene copy number.

Maron Lyza G LG Guimarães Claudia T CT Kirst Matias M Albert Patrice S PS Birchler James A JA Bradbury Peter J PJ Buckler Edward S ES Coluccio Alison E AE Danilova Tatiana V TV Kudrna David D Magalhaes Jurandir V JV Piñeros Miguel A MA Schatz Michael C MC Wing Rod A RA Kochian Leon V LV

Proceedings of the National Academy of Sciences of the United States of America 20130311 13

Genome structure variation, including copy number variation and presence/absence variation, comprises a large extent of maize genetic diversity; however, its effect on phenotypes remains largely unexplored. Here, we describe how copy number variation underlies a rare allele that contributes to maize aluminum (Al) tolerance. Al toxicity is the primary limitation for crop production on acid soils, which make up 50% of the world's potentially arable lands. In a recombinant inbred line mapping popul ...[more]

PMID: 23479633

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Project description:Carbapenemase production is one of the leading mechanisms of carbapenem resistance in Gram-negative bacteria. An increase in carbapenemase gene (blaCarb) copies is an important mechanism of carbapenem resistance. No currently available bioinformatics tools allow for reliable detection and reporting of carbapenemase gene copy numbers. Here, we describe the carbapenemase-encoding gene copy number estimator (CCNE), a ready-to-use bioinformatics tool that was developed to estimate blaCarb copy numbers from whole-genome sequencing data. Its performance on Klebsiella pneumoniae carbapenemase gene (blaKPC) copy number estimation was evaluated by simulation and quantitative PCR (qPCR), and the results were compared with available algorithms. CCNE has two components, CCNE-acc and CCNE-fast. CCNE-acc detects blaCarb copy number in a comprehensive and high-accuracy way, while CCNE-fast rapidly screens blaCarb copy numbers. CCNE-acc achieved the best accuracy (100%) and the lowest root mean squared error (RMSE; 0.07) in simulated noise data sets, compared to the assembly-based method (23.4% accuracy, 1.697 RMSE) and the OrthologsBased method (78.9% accuracy, 0.395 RMSE). In the qPCR validation, a high consistency was observed between the blaKPC copy number determined by qPCR and that determined with CCNE. Reverse transcription-qPCR transcriptional analysis of 40 isolates showed that blaKPC expression was positively correlated with the blaKPC copy numbers detected by CCNE (P < 0.001). An association study of 357 KPC-producing K. pneumoniae isolates and their antimicrobial susceptibility identified a significant association between the estimated blaKPC copy number and MICs of imipenem (P < 0.001) and ceftazidime-avibactam (P < 0.001). Overall, CCNE is a useful genomic tool for the analysis of antimicrobial resistance genes copy number; it is available at https://github.com/biojiang/ccne. IMPORTANCE Globally disseminated carbapenem-resistant Enterobacterales is an urgent threat to public health. The most common carbapenem resistance mechanism is the production of carbapenemases. Carbapenemase-producing isolates often exhibit a wide range of carbapenem MICs. Higher carbapenem MICs have been associated with treatment failure. The increase of carbapenemase gene (blaCarb) copy numbers contributes to increased carbapenem MICs. However, blaCarb gene copy number detection is not routinely conducted during a genomic analysis, in part due to the lack of optimal bioinformatics tools. In this study, we describe a ready-to-use tool we developed and designated the carbapenemase-encoding gene copy number estimator (CCNE) that can be used to estimate the blaCarb copy number directly from whole-genome sequencing data, and we extended the data to support the analysis of all known blaCarb genes and some other antimicrobial resistance genes. Furthermore, CCNE can be used to interrogate the correlations between genotypes and susceptibility phenotypes and to improve our understanding of antimicrobial resistance mechanisms.

Project description:Aluminum (Al) toxicity is a major factor limiting crop yields on acid soils. In maize, Al tolerance is a complex phenomenon involving multiple genes and physiological mechanisms yet uncharacterized. To begin elucidating the molecular basis of maize Al toxicity and tolerance, we performed a detailed temporal analysis of root gene expression under Al stress using microarrays with an Al-tolerant and an Al-sensitive maize genotype. Seedlings of both genotypes were grown in hydroponics in a full nutrient solution containing 39uM of free Al3+ activity. Root samples were collected at 'time zero', and after 2, 6 and 24 hours of treatment. Time course experiment with 0h, 2h, 6h and 24 hours of Al treatment in two maize genotypes contrasting for Al tolerance. The experimental design used for the microarray study was of two interconnected loops, and utilized a total of 16 slide sets. Samples collected from each genotype at one time point were contrasted with the previous and subsequent time points in a loop (4 time points x 2 genotypes = 8 slide sets). Additionally, the loops were interconnected (with dye swap) so that the two genotypes were contrasted directly at each time point (4 time points x 2 replicates = 8 slide sets). The design was balanced for dye distribution throughout samples and biological replicates. Each sample was labeled twice with Cy3 and twice with Cy5; each biological replicate had four samples labeled with Cy3 and four samples labeled with Cy5. The Sample signal intensity values were log2 transformed and analyzed by two interconnected ANOVA mixed models using PROC MIXED in SAS (Jin et al., 2001; Wolfinger et al., 2001). The normalization ANOVA model yij = Âµ + Ai + Dj + (A x D)ij + eij was applied to account for experiment-wide sources of variation associated with array (Ai, degrees of freedom (df) = 15, random effect), dye (Dj, df = 1, fixed effect), and their interactions. The residuals (eij) were treated as normalized values and analyzed in the following ANOVA model (gene model), where effects were evaluated for each gene individually: rikl = Âµ + Ai + Gk + Tl + (G x T)kl + ekl. Gk is the kth genotype (i.e. C100-6 or L53; df = 1) and represents the effect of each genotype on the expression of every gene, Tl represents the lth treatment (i.e. 0, 2, 6 or 24 hours of Al treatment; df = 3), and (G x T)kl the interaction between genotype and treatment (df = 3). Array (Ai) was included as a random effect to control for spot effects (Jin et al., 2001). Least square means were calculated, and estimates of differential expression were calculated as the difference between least-square means for each of the terms in the model. ANOVA results linked below as Supplementary files.

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Aluminum tolerance in maize is associated with higher MATE1 gene copy number.

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Aluminum tolerance in maize is associated with higher MATE1 gene copy number.

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