| Title |
Next-generation sequencing as an approach to dairy starter selection
|
|---|---|
| Published in |
Dairy Science & Technology (EDP Sciences), April 2015
|
| DOI | 10.1007/s13594-015-0227-4 |
| Pubmed ID | |
| Authors |
Philip Kelleher, James Murphy, Jennifer Mahony, Douwe van Sinderen |
| Abstract |
Lactococcal and streptococcal starter strains are crucial ingredients to manufacture fermented dairy products. As commercial starter culture suppliers and dairy producers attempt to overcome issues of phage sensitivity and develop new product ranges, there is an ever increasing need to improve technologies for the rational selection of novel starter culture blends. Whole genome sequencing, spurred on by recent advances in next-generation sequencing platforms, is a promising approach to facilitate rapid identification and selection of such strains based on gene-trait matching. This review provides a comprehensive overview of the available methodologies to analyse the technological potential of candidate starter strains and highlights recent advances in the area of dairy starter genomics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 26% |
| Student > Master | 17 | 18% |
| Researcher | 14 | 15% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 33% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Immunology and Microbiology | 11 | 12% |
| Medicine and Dentistry | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 22 | 24% |
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 23 January 2016.
All research outputs
#22,999,918
of 25,643,886 outputs
Outputs from Dairy Science & Technology (EDP Sciences)
#277
of 287 outputs
Outputs of similar age
#240,892
of 280,321 outputs
Outputs of similar age from Dairy Science & Technology (EDP Sciences)
#6
of 7 outputs
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