Evidence map›Paper›PMID 35260074›Full record

ArticleBMC ecology and evolution2022

Co-expression network analyses of anthocyanin biosynthesis genes in Ruellia (Wild Petunias; Acanthaceae).

Yongbin Zhuang, Erin A Manzitto-Tripp

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Genome-Wide Identification ofPlants (Basel, Switzerland) · 2026
    Article
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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

2 authors.

Yongbin ZhuangDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA.
Erin A Manzitto-TrippDepartment of Ecology and Evolutionary Biology, University of Colorado, UCB 334, Boulder, CO, 80309, USA. erin.manzittotripp@colorado.edu.ORCID 0000-0001-9340-8723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthocyanins are major pigments contributing to flower coloration and as such knowledge of molecular architecture underlying the anthocyanin biosynthetic pathway (ABP) is key to understanding flower color diversification. To identify ABP structural genes and associated regulatory networks, we sequenced 16 transcriptomes generated from 10 species of Ruellia and then conducted co-expression analyses among resulting data.

resultsComplete coding sequences for 12 candidate structural loci representing eight genes plus nine candidate regulatory loci were assembled. Analysis of non-synonymous/synonymous (dn/ds) mutation rates indicated all identified loci are under purifying selection, suggesting overall selection to prevent the accumulation of deleterious mutations. Additionally, upstream enzymes have lower rates of molecular evolution compared to downstream enzymes. However, site-specific tests of selection yielded evidence for positive selection at several sites, including four in F3'H2 and five in DFR3, and these sites are located in protein binding regions. A species-level phylogenetic tree constructed using a newly implemented hybrid transcriptome-RADseq approach implicates several flower color transitions among the 10 species. We found evidence of both regulatory and structural mutations to F3'5'H in helping to explain the evolution of red flowers from purple-flowered ancestors.

conclusionsSequence comparisons and co-expression analyses of ABP loci revealed that mutations in regulatory loci are likely to play a greater role in flower color transitions in Ruellia compared to mutations in underlying structural genes.

Indexed as

AcanthaceaePetuniaAnthocyaninsGene Expression Regulation, PlantPhylogenyAnthocyaninsAnthocyaninEvolution flower colorHybrid transcriptome-RADseq phylogenyMYBsShiftTransition

Identifiers

PMID35260074
PMCPMC8905905

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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.