Evidence map›Paper›PMID 12836014›Full record

ArticleMolecular genetics and genomics : MGG2003

Differential induction of glyoxylate cycle enzymes by stress as a marker for seedling vigor in sugar beet (Beta vulgaris).

B G de los Reyes, S J Myers, J M McGrath

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Article in Molecular genetics and genomics : MGG, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

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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

14 citing papers in PubMed.

  1. Article
  2. Foliar Application ofPlants (Basel, Switzerland) · 2022
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  13. Proteome-wide characterization of sugarbeet seed vigor and its tissue specific expression.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  14. Article
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

3 authors.

B G de los ReyesUSDA-ARS, Sugar Beet and Bean Research Unit, Michigan State University, 494 Plant and Soil Sciences Building, East Lansing, MI 48824-1325, USA.
S J Myers
J M McGrath

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant differences in seedling vigor exist among sugar beet (Beta vulgaris) hybrids; however, traditional approaches to breeding enhanced vigor have not proven effective. Seedling vigor is a complex character, but presumably includes efficient mobilization of seed storage reserves during germination and efficient seedling growth in diverse environments. The involvement of lipid metabolism during germination of sugar beet under stress conditions was suggested by the isolation at high frequency of Expressed Sequence Tags (ESTs) with similarity to isocitrate lyase (EC 4.1.3.1). High-level expression of this glyoxylate cycle enzyme during germination and seedling emergence was also suggested by nucleotide sequencing of cDNA libraries obtained from a well emerging sugar beet hybrid during germination under stress. Genes involved in carbohydrate and lipid catabolism were differentially expressed in a strongly emerging hybrid, relative to a weakly emerging hybrid, during stress germination. Stress markedly reduced the levels of alpha-amylase transcripts in the weakly emerging hybrid. In contrast, the strongly emerging hybrid exhibited only a moderate reduction in alpha-amylase transcript levels under the same conditions, and showed large increases in the expression of genes involved in lipid metabolism, suggesting compensation by lipid for carbohydrate metabolism in the better emerging hybrid. Differential activity of the glyoxylate cycle thus appears to be a physiological marker that distinguishes between high- and low-vigor sugar beet cultivars. This finding suggests, for the first time, a biochemical target for selection for enhanced germination and improved emergence in sugar beet.

Indexed as

Genes, PlantBeta vulgarisEnzyme InductionExpressed Sequence TagsGene Expression ProfilingGerminationGlyoxylatesIsocitrate LyaseSeedlingsGlyoxylatesIsocitrate Lyase

Identifiers

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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.