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Separating the wheat from the chaff - a strategy to utilize plant genetic resources from ex situ genebanks

Keilwagen, Jens; Kilian, Benjamin; Ozkan, Hakan; Babben, Steve; Perovic, Dragan; Mayer, Klaus F. X.; Walther, Alexander; Poskar, C. Hart; Ordon, Frank and Eversole, Kellye, et al. (2014) In Scientific Reports 4.
Abstract
The need for higher yielding and better-adapted crop plants for feeding the world's rapidly growing population has raised the question of how to systematically utilize large genebank collections with their wide range of largely untouched genetic diversity. Phenotypic data that has been recorded for decades during various rounds of seed multiplication provides a rich source of information. Their usefulness has remained limited though, due to various biases induced by conservation management over time or changing environmental conditions. Here, we present a powerful procedure that permits an unbiased trait-based selection of plant samples based on such phenotypic data. Applying this technique to the wheat collection of one of the largest... (More)
The need for higher yielding and better-adapted crop plants for feeding the world's rapidly growing population has raised the question of how to systematically utilize large genebank collections with their wide range of largely untouched genetic diversity. Phenotypic data that has been recorded for decades during various rounds of seed multiplication provides a rich source of information. Their usefulness has remained limited though, due to various biases induced by conservation management over time or changing environmental conditions. Here, we present a powerful procedure that permits an unbiased trait-based selection of plant samples based on such phenotypic data. Applying this technique to the wheat collection of one of the largest genebanks worldwide, we identified groups of plant samples displaying contrasting phenotypes for selected traits. As a proof of concept for our discovery pipeline, we resequenced the entire major but conserved flowering time locus Ppd-D1 in just a few such selected wheat samples - and nearly doubled the number of hitherto known alleles. (Less)
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published
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Scientific Reports
volume
4
publisher
Nature Publishing Group
external identifiers
  • scopus:84902281074
ISSN
2045-2322
DOI
10.1038/srep05231
project
MERGE
language
English
LU publication?
no
id
3fa8e258-3194-4dfc-871f-5a3958da6680 (old id 4863350)
date added to LUP
2014-12-15 14:55:58
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2017-08-27 04:54:40
@article{3fa8e258-3194-4dfc-871f-5a3958da6680,
  abstract     = {The need for higher yielding and better-adapted crop plants for feeding the world's rapidly growing population has raised the question of how to systematically utilize large genebank collections with their wide range of largely untouched genetic diversity. Phenotypic data that has been recorded for decades during various rounds of seed multiplication provides a rich source of information. Their usefulness has remained limited though, due to various biases induced by conservation management over time or changing environmental conditions. Here, we present a powerful procedure that permits an unbiased trait-based selection of plant samples based on such phenotypic data. Applying this technique to the wheat collection of one of the largest genebanks worldwide, we identified groups of plant samples displaying contrasting phenotypes for selected traits. As a proof of concept for our discovery pipeline, we resequenced the entire major but conserved flowering time locus Ppd-D1 in just a few such selected wheat samples - and nearly doubled the number of hitherto known alleles.},
  articleno    = {5231},
  author       = {Keilwagen, Jens and Kilian, Benjamin and Ozkan, Hakan and Babben, Steve and Perovic, Dragan and Mayer, Klaus F. X. and Walther, Alexander and Poskar, C. Hart and Ordon, Frank and Eversole, Kellye and Boerner, Andreas and Ganal, Martin and Knuepffer, Helmut and Graner, Andreas and Friedel, Swetlana},
  issn         = {2045-2322},
  language     = {eng},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Reports},
  title        = {Separating the wheat from the chaff - a strategy to utilize plant genetic resources from ex situ genebanks},
  url          = {http://dx.doi.org/10.1038/srep05231},
  volume       = {4},
  year         = {2014},
}