Evidence map›Paper›PMID 20971858›Full record

ArticlePlant physiology2010

Fine quantitative trait loci mapping of carbon and nitrogen metabolism enzyme activities and seedling biomass in the maize IBM mapping population.

Nengyi Zhang, Yves Gibon, Amit Gur, Charles Chen, Nicholas Lepak, Melanie Höhne, Zhiwu Zhang, Dallas Kroon, Hendrik Tschoep, Mark Stitt and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.8field-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

29 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Recent Advances in Carbon and Nitrogen Metabolism in C3 Plants.International journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Biochemical and genetic analyses of N metabolism in maize testcross seedlings: 2. Roots.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    Article
  10. Article
  11. Biochemical and genetic analyses of N metabolism in maize testcross seedlings: 1. Leaves.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  12. Article
  13. Article
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  18. AGPase: its role in crop productivity with emphasis on heat tolerance in cereals.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Review
  19. Article
  20. 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

11 authors at 4 institutions in 2 countries.

Nengyi ZhangInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA. nz45@cornell.edu
Yves Gibon
Amit Gur
Charles Chen
Nicholas Lepak
Melanie Höhne
Zhiwu Zhang
Dallas Kroon
Hendrik Tschoep
Mark Stitt
Edward Buckler
Robert W. Holley Center for Agriculture & Health · USUnited States Department of Agriculture · USMax Planck Institute of Molecular Plant Physiology · DECornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic basis of nitrogen and carbon metabolism will accelerate the development of plant varieties with high yield and improved nitrogen use efficiency. A robotized platform was used to measure the activities of 10 enzymes from carbon and nitrogen metabolism in the maize (Zea mays) intermated B73 × Mo17 mapping population, which provides almost a 4-fold increase in genetic map distance compared with conventional mapping populations. Seedling/juvenile biomass was included to identify its genetic factors and relationships with enzyme activities. All 10 enzymes showed heritable variation in activity. There were strong positive correlations between activities of different enzymes, indicating that they are coregulated. Negative correlations were detected between biomass and the activity of six enzymes. In total, 73 significant quantitative trait loci (QTL) were found that influence the activity of these 10 enzymes and eight QTL that influence biomass. While some QTL were shared by different enzymes or biomass, we critically evaluated the probability that this may be fortuitous. All enzyme activity QTL were in trans to the known genomic locations of structural genes, except for single cis-QTL for nitrate reductase, Glu dehydrogenase, and shikimate dehydrogenase; the low frequency and low additive magnitude compared with trans-QTL indicate that cis-regulation is relatively unimportant versus trans-regulation. Two-gene epistatic interactions were identified for eight enzymes and for biomass, with three epistatic QTL being shared by two other traits; however, epistasis explained on average only 2.8% of the genetic variance. Overall, this study identifies more QTL at a higher resolution than previous studies of genetic variation in metabolism.

Indexed as

BiomassQuantitative Trait LociNitrogenZea maysNitrogen

Identifiers

PMID20971858
PMCPMC2996021
OpenAlexW1979541972

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.