Literature DB >> 31156693

Genome to Phenome: Improving Animal Health, Production, and Well-Being - A New USDA Blueprint for Animal Genome Research 2018-2027.

Caird Rexroad1, Jeffrey Vallet1, Lakshmi Kumar Matukumalli2, James Reecy3, Derek Bickhart4, Harvey Blackburn5, Mark Boggess6, Hans Cheng7, Archie Clutter8, Noelle Cockett9, Catherine Ernst10, Janet E Fulton11, John Liu12, Joan Lunney13, Holly Neibergs14, Catherine Purcell15, Timothy P L Smith6, Tad Sonstegard16, Jerry Taylor17, Bhanu Telugu18, Alison Van Eenennaam19, Curtis P Van Tassell20, Kevin Wells20.   

Abstract

In 2008, a consortium led by the Agricultural Research Service (ARS) and the National Institute for Food and Agriculture (NIFA) published the "Blueprint for USDA Efforts in Agricultural Animal Genomics 2008-2017," which served as a guiding document for research and funding in animal genomics. In the decade that followed, many of the goals set forth in the blueprint were accomplished. However, several other goals require further research. In addition, new topics not covered in the original blueprint, which are the result of emerging technologies, require exploration. To develop a new, updated blueprint, ARS and NIFA, along with scientists in the animal genomics field, convened a workshop titled "Genome to Phenome: A USDA Blueprint for Improving Animal Production" in November 2017, and these discussions were used to develop new goals for the next decade. Like the previous blueprint, these goals are grouped into the broad categories "Science to Practice," "Discovery Science," and "Infrastructure." New goals for characterizing the microbiome, enhancing the use of gene editing and other biotechnologies, and preserving genetic diversity are included in the new blueprint, along with updated goals within many genome research topics described in the previous blueprint. The updated blueprint that follows describes the vision, current state of the art, the research needed to advance the field, expected deliverables, and partnerships needed for each animal genomics research topic. Accomplishment of the goals described in the blueprint will significantly increase the ability to meet the demands for animal products by an increasing world population within the next decade.

Entities:  

Keywords:  animal; biotechnology; discovery; genomics; health; infrastructure; phenotype; production

Year:  2019        PMID: 31156693      PMCID: PMC6532451          DOI: 10.3389/fgene.2019.00327

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  21 in total

1.  Assembly of a pangenome for global cattle reveals missing sequences and novel structural variations, providing new insights into their diversity and evolutionary history.

Authors:  Yang Zhou; Lv Yang; Xiaotao Han; Jiazheng Han; Yan Hu; Fan Li; Han Xia; Lingwei Peng; Clarissa Boschiero; Benjamin D Rosen; Derek M Bickhart; Shujun Zhang; Aizhen Guo; Curtis P Van Tassell; Timothy P L Smith; Liguo Yang; George E Liu
Journal:  Genome Res       Date:  2022-08-17       Impact factor: 9.438

Review 2.  Marker-assisted selection vis-à-vis bull fertility: coming full circle-a review.

Authors:  Varinder Singh Raina; Aneet Kour; Atish Kumar Chakravarty; Vikas Vohra
Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

Review 3.  Conserved features of non-primate bilaminar disc embryos and the germline.

Authors:  Ramiro Alberio; Toshihiro Kobayashi; M Azim Surani
Journal:  Stem Cell Reports       Date:  2021-05-11       Impact factor: 7.294

4.  Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure.

Authors:  Dongwon Seo; Doo Ho Lee; Shil Jin; Jung Il Won; Dajeong Lim; Mina Park; Tae Hun Kim; Hak Kyo Lee; Sidong Kim; Inchul Choi; Jun Heon Lee; Cedric Gondro; Seung Hwan Lee
Journal:  Sci Rep       Date:  2022-04-19       Impact factor: 4.996

Review 5.  A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock.

Authors:  James E Koltes; John B Cole; Roxanne Clemmens; Ryan N Dilger; Luke M Kramer; Joan K Lunney; Molly E McCue; Stephanie D McKay; Raluca G Mateescu; Brenda M Murdoch; Ryan Reuter; Caird E Rexroad; Guilherme J M Rosa; Nick V L Serão; Stephen N White; M Jennifer Woodward-Greene; Millie Worku; Hongwei Zhang; James M Reecy
Journal:  Front Genet       Date:  2019-12-17       Impact factor: 4.599

Review 6.  From FAANG to fork: application of highly annotated genomes to improve farmed animal production.

Authors:  Emily L Clark; Alan L Archibald; Hans D Daetwyler; Martien A M Groenen; Peter W Harrison; Ross D Houston; Christa Kühn; Sigbjørn Lien; Daniel J Macqueen; James M Reecy; Diego Robledo; Mick Watson; Christopher K Tuggle; Elisabetta Giuffra
Journal:  Genome Biol       Date:  2020-11-24       Impact factor: 13.583

7.  Characterizing Genetic Regulatory Elements in Ovine Tissues.

Authors:  Kimberly M Davenport; Alisha T Massa; Suraj Bhattarai; Stephanie D McKay; Michelle R Mousel; Maria K Herndon; Stephen N White; Noelle E Cockett; Timothy P L Smith; Brenda M Murdoch
Journal:  Front Genet       Date:  2021-05-20       Impact factor: 4.599

Review 8.  25th ANNIVERSARY OF CLONING BY SOMATIC-CELL NUCLEAR TRANSFER: Nuclear transfer and the development of genetically modified/gene edited livestock.

Authors:  Ramiro Alberio; Eckhard Wolf
Journal:  Reproduction       Date:  2021-06-11       Impact factor: 3.906

9.  Improving Prediction Accuracy Using Multi-allelic Haplotype Prediction and Training Population Optimization in Wheat.

Authors:  Ahmad H Sallam; Emily Conley; Dzianis Prakapenka; Yang Da; James A Anderson
Journal:  G3 (Bethesda)       Date:  2020-07-07       Impact factor: 3.154

Review 10.  Precise Genome Editing in Poultry and Its Application to Industries.

Authors:  Jin Se Park; Kyung Youn Lee; Jae Yong Han
Journal:  Genes (Basel)       Date:  2020-10-12       Impact factor: 4.096

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