Evidence map›Paper›PMID 27121008›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2016

Genome-wide association studies of drought-related metabolic changes in maize using an enlarged SNP panel.

Xuehai Zhang, Marilyn L Warburton, Tim Setter, Haijun Liu, Yadong Xue, Ning Yang, Jianbing Yan, Yingjie Xiao

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 66 citations in OpenAlex.

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  5. Phenotypic Investigation and RNA-seq ofInternational journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Xuehai ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Marilyn L WarburtonUSDA-ARS Corn Host Plant Research Resistance Unit, Mississippi State University, Box 9555, Starkville, MS, 39762, USA.
Tim SetterSection of Soil and Crop Sciences, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.
Haijun LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Yadong XueAgronomy College, Henan Agricultural University, Zhengzhou, 450002, China.
Ning YangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. shanren0179@163.com.
Huazhong Agricultural University · CNCornell University · USHenan Agricultural University · CNMississippi State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGenetic determinants of metabolites related to drought tolerance in maize. Water deficit or drought is one of the most serious abiotic stresses of plant development and greatly reduces crop production, and the plant's response to this deficit leads to many metabolic changes. To dissect the genetic basis of these metabolic traits in maize, we performed a genome-wide association analysis of drought-related traits using 156,599 SNPs in 318 maize inbred lines. In total, 123 significant SNP/trait associations (P ≤ 6.39E-6) involving 63 loci were identified for related metabolic and physiological traits in multiple tissues and different environments under two irrigation conditions. Of the 63, 23 loci demonstrated a significant interaction effect between QTL and water status, indicating that these metabolite-associated loci were probably related to drought stress tolerance. To evaluate the potential utility of metabolite-associated loci applied in hybrid maize breeding, we assembled two groups of hybrid entries with high or low drought tolerance and measured the metabolic and physiological traits. In the hybrid pools, a set of 10 metabolite-associated loci identified in leaf and ear were validated as responsive to drought stress. The favorable alleles of these ten loci were significantly enriched in hybrids with high drought tolerance, which jointly explained almost 18.4 % of the variation in drought tolerance using a multivariate logistic regression model. These results provide clues to understanding the genetic basis of metabolic and physiological changes related to drought tolerance, potentially facilitating the genetic improvement of varieties with high drought tolerance in maize breeding programs.

Indexed as

DroughtsGenetic Association StudiesPolymorphism, Single NucleotideGenotypeLogistic ModelsMultivariate AnalysisPhenotypePlant BreedingQuantitative Trait LociRNA, PlantStress, PhysiologicalWaterZea maysRNA, PlantWater

Identifiers

PMID27121008
OpenAlexW2342784255

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.