Evidence map›Paper›PMID 19018570›Full record

ArticleMolecular genetics and genomics : MGG2009

Addressing drought tolerance in maize by transcriptional profiling and mapping.

Rosanna Marino, Maharajah Ponnaiah, Pawel Krajewski, Carla Frova, Luca Gianfranceschi, M Enrico Pè, Mirella Sari-Gorla

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Article in Molecular genetics and genomics : MGG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rosanna MarinoDepartment of Biomolecular Sciences and Biotechnology, University of Milano, Via Celoria 26, 20133, Milan, Italy.
Maharajah Ponnaiah
Pawel Krajewski
Carla Frova
Luca Gianfranceschi
M Enrico Pè
Mirella Sari-Gorla

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to unravel the genetic architecture underlying plant response to drought, we adopted an integrated approach, combining transcript profiling and quantitative trait loci (QTL) mapping. In fact, improving plant tolerance to water stress is an important, but, at the same time, a difficult task, since plant tolerance is the result of many complex mechanisms acting at different levels of plant organization, and its genetic basis is largely unknown. The phenotypic data, concerning yield components and flowering time, of a population of 142 maize Recombinant Inbred Lines (RILs), grown under well watered conditions or under water stress, were submitted to linkage analysis to detect drought-tolerance QTLs. Thirty genomic regions containing 50 significant QTLs distributed on nine chromosomes were identified. At the same time, a customized targeted oligoarray was used to monitor the expression levels of 1,000 genes, representative of the immature maize kernel transcriptome. Using this DNA array we compared transcripts from 10 days after pollination kernels of two susceptible and two drought tolerant genotypes (extracted from our RILs) grown under control and water stress field conditions. Two hundred and fifty-two genes were significantly affected by stress in at least one genotype. From a set of these, 49 new molecular markers were developed. By mapping most of them and by in silico mapping other regulated sequences, 88 differentially expressed genes were localized onto our linkage map, which, added to the existing 186 markers, brought their total number on the map to 274. Twenty-two of the 88 differentially expressed genes mapped in the same chromosomal segments harbouring QTLs for tolerance, thus representing candidate genes for further functional studies.

Indexed as

Adaptation, PhysiologicalDroughtsGene Expression ProfilingTranscription, GeneticChromosome MappingGenetic LinkageOligonucleotide Array Sequence AnalysisQuantitative Trait LociZea mays

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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.