Evidence map›Paper›PMID 30931948›Full record

ArticleScientific data2019

Targeted enrichment by solution-based hybrid capture to identify genetic sequence variants in barley.

Camilla Beate Hill, Debbie Wong, Josquin Tibbits, Kerrie Forrest, Matthew Hayden, Xiao-Qi Zhang, Sharon Westcott, Tefera Tolera Angessa, Chengdao Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  10. Genomic structural equation modelling provides a whole-system approach for the future crop breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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  13. Genetic dissection of the interactions between semi-dwarfing genesMolecular breeding : new strategies in plant improvement · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Camilla Beate HillWestern Barley Genetics Alliance, Western Australian State Agricultural Biotechnology Centre, School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, Australia. camilla.hill@murdoch.edu.au.ORCID http://orcid.org/0000-0002-6754-5553
Debbie WongAgriculture Victoria, Agriculture Research Division, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Josquin TibbitsAgriculture Victoria, Agriculture Research Division, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Kerrie ForrestAgriculture Victoria, Agriculture Research Division, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Matthew HaydenAgriculture Victoria, Agriculture Research Division, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.ORCID http://orcid.org/0000-0003-3117-5500
Xiao-Qi ZhangWestern Barley Genetics Alliance, Western Australian State Agricultural Biotechnology Centre, School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, Australia.
Sharon WestcottAgriculture and Food, Department of Primary Industries and Regional Development, South Perth, WA, Australia.
Tefera Tolera AngessaWestern Barley Genetics Alliance, Western Australian State Agricultural Biotechnology Centre, School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, Australia.
Chengdao LiWestern Barley Genetics Alliance, Western Australian State Agricultural Biotechnology Centre, School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA, Australia. c.li@murdoch.edu.au.ORCID http://orcid.org/0000-0002-9653-2700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In barley and other cereal crops, phenological diversity drives adaptation to different cultivation areas. Improvement of barley yield and quality traits requires adaptation to specific production areas with introgression of favorable alleles dependent upon precise identification of the underlying genes. Combining targeted sequence capture systems with next-generation sequencing provides an efficient approach to explore target genetic regions at high resolution, and allows rapid discovery of thousands of genetic polymorphisms. Here, we apply a versatile target-capture method to detect genome-wide polymorphisms in 174 flowering time-related genes, chosen based on prior knowledge from barley, rice, and Arabidopsis thaliana. Sequences were generated across a phenologically diverse panel of 895 barley varieties, resulting a high mean depth coverage of ~25x allowing reliable discovery and calling of insertion-deletion (InDel) and single nucleotide polymorphisms (SNPs). Sequences of InDel and SNPs from the targeted enrichment were utilized to develop 67 Kompetitive Allele Specific PCR (KASP) markers for validation. This work provides researchers and breeders a comprehensive molecular toolkit for the selection of phenology-related traits in barley.

Indexed as

Genome, PlantHigh-Throughput Nucleotide SequencingHordeumINDEL MutationPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID30931948
PMCPMC6472358

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.