Induction and recovery of copy number variation in banana through gamma irradiation and low-coverage whole-genome sequencing.
Induction and recovery of copy number variation in banana through gamma irradiation and low-coverage whole-genome sequencing.
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DOI:
10.1111/pbi.12901
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发表时间:
2018-02-24
影响因子:
13.8
通讯作者:
Till BJ
中科院分区:
文献类型:
--
作者:
Datta S;Jankowicz-Cieslak J;Nielen S;Ingelbrecht I;Till BJ
Traditional breeding methods are hindered in bananas due to the fact that major cultivars are sterile, parthenocarpic, triploid and thus clonally propagated. This has resulted in a narrow genetic base and limited resilience to biotic and abiotic stresses. Mutagenesis of in vitro propagated bananas is one method to introduce novel alleles and broaden genetic diversity. We previously established a method for the induction and recovery of single nucleotide mutations generated with the chemical mutagen EMS. However, officially released mutant banana varieties have been created using gamma rays, a mutagen that can produce large genomic insertions and deletions (indels). Such dosage mutations may be important for generating observable phenotypes in polyploids. In this study, we establish a low‐coverage whole‐genome sequencing approach in triploid bananas to recover large genomic indels caused by treatment with gamma irradiation. We first evaluated the commercially released mutant cultivar ‘Novaria’ and found that it harbours multiple predicted deletions, ranging from 0.3 to 3.8 million base pairs (Mbp). In total, predicted deletions span 189 coding regions. To evaluate the feasibility of generating and maintaining new mutations, we developed a pipeline for mutagenesis and screening for copy number variation in Cavendish bananas using the cultivar ‘Williams’. Putative mutations were recovered in 70% of lines treated with 20 Gy and 60% of the lines treated with 40 Gy. While deletion events predominate, insertions were identified in 20 Gy‐treated material. Based on these results, we believe this approach can be scaled up to support large breeding projects.
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影响因子:
4.6
作者:
Casanova-Sáez R;Candela H;Micol JL
通讯作者:
Micol JL
DOI:
10.1073/pnas.0909218106
发表时间:
2009-12-08
影响因子:
11.1
作者:
Fulcher, Nick;Sablowski, Robert
通讯作者:
Sablowski, Robert
影响因子:
12.3
作者:
Kader, Tanjina;Goode, David L.;Gorringe, Kylie L.
通讯作者:
Gorringe, Kylie L.
影响因子:
3.3
作者:
Hribova, Eva;Holusova, Katerina;Vrana, Jan
通讯作者:
Vrana, Jan
影响因子:
64.8
作者:
D'Hont, Angelique;Denoeud, France;Wincker, Patrick
通讯作者:
Wincker, Patrick