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Aquaculture genomics, genetics and breeding in the United States: current status, challenges, and priorities for future research

Overview of attention for article published in BMC Genomics, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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17 tweeters
facebook
1 Facebook page

Citations

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115 Dimensions

Readers on

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314 Mendeley
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Title
Aquaculture genomics, genetics and breeding in the United States: current status, challenges, and priorities for future research
Published in
BMC Genomics, February 2017
DOI 10.1186/s12864-017-3557-1
Pubmed ID
Authors

Hisham Abdelrahman, Mohamed ElHady, Acacia Alcivar-Warren, Standish Allen, Rafet Al-Tobasei, Lisui Bao, Ben Beck, Harvey Blackburn, Brian Bosworth, John Buchanan, Jesse Chappell, William Daniels, Sheng Dong, Rex Dunham, Evan Durland, Ahmed Elaswad, Marta Gomez-Chiarri, Kamal Gosh, Ximing Guo, Perry Hackett, Terry Hanson, Dennis Hedgecock, Tiffany Howard, Leigh Holland, Molly Jackson, Yulin Jin, Karim Khalil, Thomas Kocher, Tim Leeds, Ning Li, Lauren Lindsey, Shikai Liu, Zhanjiang Liu, Kyle Martin, Romi Novriadi, Ramjie Odin, Yniv Palti, Eric Peatman, Dina Proestou, Guyu Qin, Benjamin Reading, Caird Rexroad, Steven Roberts, Mohamed Salem, Andrew Severin, Huitong Shi, Craig Shoemaker, Sheila Stiles, Suxu Tan, Kathy F. J. Tang, Wilawan Thongda, Terrence Tiersch, Joseph Tomasso, Wendy Tri Prabowo, Roger Vallejo, Hein van der Steen, Khoi Vo, Geoff Waldbieser, Hanping Wang, Xiaozhu Wang, Jianhai Xiang, Yujia Yang, Roger Yant, Zihao Yuan, Qifan Zeng, Tao Zhou

Abstract

Advancing the production efficiency and profitability of aquaculture is dependent upon the ability to utilize a diverse array of genetic resources. The ultimate goals of aquaculture genomics, genetics and breeding research are to enhance aquaculture production efficiency, sustainability, product quality, and profitability in support of the commercial sector and for the benefit of consumers. In order to achieve these goals, it is important to understand the genomic structure and organization of aquaculture species, and their genomic and phenomic variations, as well as the genetic basis of traits and their interrelationships. In addition, it is also important to understand the mechanisms of regulation and evolutionary conservation at the levels of genome, transcriptome, proteome, epigenome, and systems biology. With genomic information and information between the genomes and phenomes, technologies for marker/causal mutation-assisted selection, genome selection, and genome editing can be developed for applications in aquaculture. A set of genomic tools and resources must be made available including reference genome sequences and their annotations (including coding and non-coding regulatory elements), genome-wide polymorphic markers, efficient genotyping platforms, high-density and high-resolution linkage maps, and transcriptome resources including non-coding transcripts. Genomic and genetic control of important performance and production traits, such as disease resistance, feed conversion efficiency, growth rate, processing yield, behaviour, reproductive characteristics, and tolerance to environmental stressors like low dissolved oxygen, high or low water temperature and salinity, must be understood. QTL need to be identified, validated across strains, lines and populations, and their mechanisms of control understood. Causal gene(s) need to be identified. Genetic and epigenetic regulation of important aquaculture traits need to be determined, and technologies for marker-assisted selection, causal gene/mutation-assisted selection, genome selection, and genome editing using CRISPR and other technologies must be developed, demonstrated with applicability, and application to aquaculture industries.Major progress has been made in aquaculture genomics for dozens of fish and shellfish species including the development of genetic linkage maps, physical maps, microarrays, single nucleotide polymorphism (SNP) arrays, transcriptome databases and various stages of genome reference sequences. This paper provides a general review of the current status, challenges and future research needs of aquaculture genomics, genetics, and breeding, with a focus on major aquaculture species in the United States: catfish, rainbow trout, Atlantic salmon, tilapia, striped bass, oysters, and shrimp. While the overall research priorities and the practical goals are similar across various aquaculture species, the current status in each species should dictate the next priority areas within the species. This paper is an output of the USDA Workshop for Aquaculture Genomics, Genetics, and Breeding held in late March 2016 in Auburn, Alabama, with participants from all parts of the United States.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 314 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 314 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 22%
Student > Ph. D. Student 57 18%
Student > Master 48 15%
Student > Doctoral Student 24 8%
Student > Bachelor 12 4%
Other 45 14%
Unknown 60 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 126 40%
Biochemistry, Genetics and Molecular Biology 51 16%
Environmental Science 12 4%
Veterinary Science and Veterinary Medicine 9 3%
Medicine and Dentistry 7 2%
Other 21 7%
Unknown 88 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 April 2018.
All research outputs
#2,819,008
of 17,897,867 outputs
Outputs from BMC Genomics
#1,194
of 9,467 outputs
Outputs of similar age
#57,291
of 269,577 outputs
Outputs of similar age from BMC Genomics
#3
of 15 outputs
Altmetric has tracked 17,897,867 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,467 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.