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A set of genes conserved in sequence and expression traces back the establishment of multicellularity in social amoebae

Overview of attention for article published in BMC Genomics, November 2016
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Title
A set of genes conserved in sequence and expression traces back the establishment of multicellularity in social amoebae
Published in
BMC Genomics, November 2016
DOI 10.1186/s12864-016-3223-z
Pubmed ID
Authors

Christina Schilde, Hajara M. Lawal, Angelika A. Noegel, Ludwig Eichinger, Pauline Schaap, Gernot Glöckner

Abstract

The developmental cycle of Dictyostelid amoebae represents an early form of multicellularity with cell type differentiation. Mutant studies in the model Dictyostelium discoideum revealed that its developmental program integrates the actions of genes involved in signal transduction, adhesion, motility, autophagy and cell wall and matrix biosynthesis. However, due to functional redundancy and fail safe options not required in the laboratory, this single organism approach cannot capture all essential genes. To understand how multicellular organisms evolved, it is essential to recognize both the conserved core features of their developmental programs and the gene modifications that instigated phenotypic innovation. For complex organisms, such as animals, this is not within easy reach, but it is feasible for less complex forms, such as the Dictyostelid social amoebas. We compared global profiles of gene expression during the development of four social amoebae species that represent 600 mya of Dictyostelia evolution, and identified orthologous conserved genes with similar developmental up-regulation of expression using three different methods. For validation, we disrupted five genes of this core set and examined the phenotypic consequences. At least 71 of the developmentally regulated genes that were identified with all methods were likely to be already present in the last ancestor of all Dictyostelia. The lack of phenotypic changes in null mutants indicates that even highly conserved genes either participate in functionally redundant pathways or are necessary for developmental progression under adverse, non-standard laboratory conditions. Both mechanisms provide robustness to the developmental program, but impose a limit on the information that can be obtained from deleting single genes.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 3 15%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Professor 2 10%
Other 4 20%
Unknown 3 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 30%
Agricultural and Biological Sciences 6 30%
Immunology and Microbiology 2 10%
Unspecified 1 5%
Computer Science 1 5%
Other 1 5%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2016.
All research outputs
#17,825,154
of 22,899,952 outputs
Outputs from BMC Genomics
#7,590
of 10,674 outputs
Outputs of similar age
#221,923
of 311,298 outputs
Outputs of similar age from BMC Genomics
#133
of 222 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,674 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.