Evidence map›Paper›PMID 15299141›Full record

ArticlePlant physiology2004

Coordinated genetic regulation of growth and lignin revealed by quantitative trait locus analysis of cDNA microarray data in an interspecific backcross of eucalyptus.

Matias Kirst, Alexander A Myburg, José P G De León, Mariana E Kirst, Jay Scott, Ronald Sederoff

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 214 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Strategies for eQTL mapping in allopolyploid organisms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
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  10. The BpMYB4 Transcription Factor FromFrontiers in plant science · 2020
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  11. Review
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  17. Association Genetics inFrontiers in plant science · 2018
    Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Matias KirstForest Biotechnology Group, North Carolina State University, Raleigh, NC 27695, USA. mkirst@unity.ncsu.edu
Alexander A Myburg
José P G De León
Mariana E Kirst
Jay Scott
Ronald Sederoff
University of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic, genotypic, and transcript level (microarray) data from an interspecific backcross population of Eucalyptus grandis and Eucalyptus globulus were integrated to dissect the genetic and metabolic network underlying growth variation. Transcript abundance, measured for 2,608 genes in the differentiating xylem of a 91 (E. grandis x E. globulus) x E. grandis backcross progeny was correlated with diameter variation, revealing coordinated down-regulation of genes encoding enzymes of the lignin biosynthesis and associated methylation pathways in fast growing individuals. Lignin analysis of wood samples confirmed the content and quality predicted by the transcript levels measured on the microarrays. Quantitative trait locus (QTL) analysis of transcript levels of lignin-related genes showed that their mRNA abundance is regulated by two genetic loci, demonstrating coordinated genetic control over lignin biosynthesis. These two loci colocalize with QTLs for growth, suggesting that the same genomic regions are regulating growth, and lignin content and composition in the progeny. Genetic mapping of the lignin genes revealed that most of the key biosynthetic genes do not colocalize with growth and transcript level QTLs, with the exception of the locus encoding the enzyme S-adenosylmethionine synthase. This study illustrates the power of integrating quantitative analysis of gene expression data and genetic map information to discover genetic and metabolic networks regulating complex biological traits. (Sequence data for this article have been deposited with the EMBL/GenBank data libraries under accession numbers CB 967505 to CB 968059; CD 667988 to CD 670002; CD 670004; CD 670097; CD 670101 to CD 670112; and CD 670114 to CD 670137.)

Indexed as

Crosses, GeneticQuantitative Trait LociBase SequenceChromosome MappingDNA PrimersEucalyptusGene Expression ProfilingGene Expression Regulation, PlantLigninMolecular Sequence DataOligonucleotide Array Sequence AnalysisDNA PrimersLignin

Identifiers

PMID15299141
PMCPMC520804
OpenAlexW1991666928

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.