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Co-expression Clustering Across Flower Development Identifies Modules for Diverse Floral Forms in (Gesneriaceae)

Overview
Journal PeerJ
Date 2020 Mar 24
PMID 32201652
Citations 2
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Abstract

Background: Genetic pathways involved with flower color and shape are thought to play an important role in the development of flowers associated with different pollination syndromes, such as those associated with bee, butterfly, or hummingbird pollination. Because pollination syndromes are complex traits that are orchestrated by multiple genes and pathways, the gene regulatory networks have not been explored. Gene co-expression networks provide a systems level approach to identify important contributors to floral diversification.

Methods: RNA-sequencing was used to assay gene expression across two stages of flower development (an early bud and an intermediate stage) in 10 species of (Gesneriaceae). Two stage-specific co-expression networks were created from 9,503 orthologs and analyzed to identify module hubs and the network periphery. Module association with bee, butterfly, and hummingbird pollination syndromes was tested using phylogenetic mixed models. The relationship between network connectivity and evolutionary rates ( / ) was tested using linear models.

Results: Networks contained 65 and 62 modules that were largely preserved between developmental stages and contained few stage-specific modules. Over a third of the modules in both networks were associated with flower color, shape, and pollination syndrome. Within these modules, several hub nodes were identified that related to the production of anthocyanin and carotenoid pigments and the development of flower shape. Evolutionary rates were decreased in highly connected genes and elevated in peripheral genes.

Discussion: This study aids in the understanding of the genetic architecture and network properties underlying the development of floral form and provides valuable candidate modules and genes for future studies.

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Chemical Basis of Floral Color Signals in Gesneriaceae: The Effect of Alternative Anthocyanin Pathways.

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References
1.
Almeida J, Rocheta M, Galego L . Genetic control of flower shape in Antirrhinum majus. Development. 1997; 124(7):1387-92. DOI: 10.1242/dev.124.7.1387. View

2.
Pickrell J, Marioni J, Pai A, Degner J, Engelhardt B, Nkadori E . Understanding mechanisms underlying human gene expression variation with RNA sequencing. Nature. 2010; 464(7289):768-72. PMC: 3089435. DOI: 10.1038/nature08872. View

3.
Li W, Godzik A . Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics. 2006; 22(13):1658-9. DOI: 10.1093/bioinformatics/btl158. View

4.
Katzer A, Wessinger C, Hileman L . Nectary size is a pollination syndrome trait in Penstemon. New Phytol. 2019; 223(1):377-384. PMC: 6593460. DOI: 10.1111/nph.15769. View

5.
Suzuki J, Amore T, Calla B, Palmer N, Scully E, Sattler S . Organ-specific transcriptome profiling of metabolic and pigment biosynthesis pathways in the floral ornamental progenitor species Anthurium amnicola Dressler. Sci Rep. 2017; 7(1):1596. PMC: 5431427. DOI: 10.1038/s41598-017-00808-2. View