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Differential gene transcription across the life cycle in Daphnia magna using a new all genome custom-made microarray

Overview of attention for article published in BMC Genomics, May 2018
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Title
Differential gene transcription across the life cycle in Daphnia magna using a new all genome custom-made microarray
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4725-7
Pubmed ID
Authors

Bruno Campos, Danielle Fletcher, Benjamín Piña, Romà Tauler, Carlos Barata

Abstract

Unravelling the link between genes and environment across the life cycle is a challenging goal that requires model organisms with well-characterized life-cycles, ecological interactions in nature, tractability in the laboratory, and available genomic tools. Very few well-studied invertebrate model species meet these requirements, being the waterflea Daphnia magna one of them. Here we report a full genome transcription profiling of D. magna during its life-cycle. The study was performed using a new microarray platform designed from the complete set of gene models representing the whole transcribed genome of D. magna. Up to 93% of the existing 41,317 D. magna gene models showed differential transcription patterns across the developmental stages of D. magna, 59% of which were functionally annotated. Embryos showed the highest number of unique transcribed genes, mainly related to DNA, RNA, and ribosome biogenesis, likely related to cellular proliferation and morphogenesis of the several body organs. Adult females showed an enrichment of transcripts for genes involved in reproductive processes. These female-specific transcripts were essentially absent in males, whose transcriptome was enriched in specific genes of male sexual differentiation genes, like doublesex. Our results define major characteristics of transcriptional programs involved in the life-cycle, differentiate males and females, and show that large scale gene-transcription data collected in whole animals can be used to identify genes involved in specific biological and biochemical processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 10 18%
Researcher 10 18%
Student > Bachelor 5 9%
Student > Doctoral Student 2 4%
Other 7 12%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 25%
Biochemistry, Genetics and Molecular Biology 13 23%
Environmental Science 5 9%
Psychology 2 4%
Medicine and Dentistry 2 4%
Other 7 12%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 May 2018.
All research outputs
#14,399,094
of 23,061,402 outputs
Outputs from BMC Genomics
#5,733
of 10,702 outputs
Outputs of similar age
#186,208
of 329,133 outputs
Outputs of similar age from BMC Genomics
#125
of 254 outputs
Altmetric has tracked 23,061,402 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,702 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.