Literature DB >> 31253974

Genebank genomics bridges the gap between the conservation of crop diversity and plant breeding.

Martin Mascher1,2, Mona Schreiber3, Uwe Scholz3, Andreas Graner3, Jochen C Reif3, Nils Stein4,5.   

Abstract

Genebanks have the long-term mission of preserving plant genetic resources as an agricultural legacy for future crop improvement. Operating procedures for seed storage and plant propagation have been in place for decades, but there is a lack of effective means for the discovery and transfer of beneficial alleles from landraces and wild relatives into modern varieties. Here, we review the prospects of using molecular passport data derived from genomic sequence information as a universal monitoring tool at the single-plant level within and between genebanks. Together with recent advances in breeding methodologies, the transformation of genebanks into bio-digital resource centers will facilitate the selection of useful genetic variation and its use in breeding programs, thus providing easy access to past crop diversity. We propose linking catalogs of natural genetic variation and enquiries into biological mechanisms of plant performance as a long-term joint research goal of genebanks, plant geneticists and breeders.

Mesh:

Year:  2019        PMID: 31253974     DOI: 10.1038/s41588-019-0443-6

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  39 in total

1.  Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding.

Authors:  Wenyu Yang; Tingting Guo; Jingyun Luo; Ruyang Zhang; Jiuran Zhao; Marilyn L Warburton; Yingjie Xiao; Jianbing Yan
Journal:  Genome Biol       Date:  2022-03-15       Impact factor: 13.583

2.  Recommendations for connecting molecular sequence and biodiversity research infrastructures through ELIXIR.

Authors:  Robert M Waterhouse; Anne-Françoise Adam-Blondon; Donat Agosti; Petr Baldrian; Bachir Balech; Erwan Corre; Robert P Davey; Henrik Lantz; Graziano Pesole; Christian Quast; Frank Oliver Glöckner; Niels Raes; Anna Sandionigi; Monica Santamaria; Wouter Addink; Jiri Vohradsky; Amandine Nunes-Jorge; Nils Peder Willassen; Jerry Lanfear
Journal:  F1000Res       Date:  2021-12-03

3.  Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model.

Authors:  Marcel O Berkner; Albert W Schulthess; Yusheng Zhao; Yong Jiang; Markus Oppermann; Jochen C Reif
Journal:  Theor Appl Genet       Date:  2022-10-01       Impact factor: 5.574

4.  Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement.

Authors:  Albert W Schulthess; Sandip M Kale; Fang Liu; Yusheng Zhao; Norman Philipp; Maximilian Rembe; Yong Jiang; Ulrike Beukert; Albrecht Serfling; Axel Himmelbach; Jörg Fuchs; Markus Oppermann; Stephan Weise; Philipp H G Boeven; Johannes Schacht; C Friedrich H Longin; Sonja Kollers; Nina Pfeiffer; Viktor Korzun; Matthias Lange; Uwe Scholz; Nils Stein; Martin Mascher; Jochen C Reif
Journal:  Nat Genet       Date:  2022-10-04       Impact factor: 41.307

5.  Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates.

Authors:  Aemiro Bezabih Woldeyohannes; Sessen Daniel Iohannes; Mara Miculan; Leonardo Caproni; Jemal Seid Ahmed; Kauê de Sousa; Ermias Abate Desta; Carlo Fadda; Mario Enrico Pè; Matteo Dell'Acqua
Journal:  Elife       Date:  2022-09-02       Impact factor: 8.713

6.  The genomic basis of geographic differentiation and fiber improvement in cultivated cotton.

Authors:  Shoupu He; Gaofei Sun; Xiaoli Geng; Wenfang Gong; Panhong Dai; Yinhua Jia; Weijun Shi; Zhaoe Pan; Junduo Wang; Liyuan Wang; Songhua Xiao; Baojun Chen; Shufang Cui; Chunyuan You; Zongming Xie; Feng Wang; Jie Sun; Guoyong Fu; Zhen Peng; Daowu Hu; Liru Wang; Baoyin Pang; Xiongming Du
Journal:  Nat Genet       Date:  2021-04-15       Impact factor: 38.330

Review 7.  Advancing crop genomics from lab to field.

Authors:  Michael D Purugganan; Scott A Jackson
Journal:  Nat Genet       Date:  2021-05-06       Impact factor: 38.330

8.  Refined mapping of stripe rust resistance gene YrP10090 within a desirable haplotype for wheat improvement on chromosome 6A.

Authors:  Shengjie Liu; Shuo Huang; Qingdong Zeng; Xiaoting Wang; Rui Yu; Qilin Wang; Ravi P Singh; Sridhar Bhavani; Zhensheng Kang; Jianhui Wu; Dejun Han
Journal:  Theor Appl Genet       Date:  2021-03-08       Impact factor: 5.574

Review 9.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04

Review 10.  Review of Machine Learning Methods for the Prediction and Reconstruction of Metabolic Pathways.

Authors:  Hayat Ali Shah; Juan Liu; Zhihui Yang; Jing Feng
Journal:  Front Mol Biosci       Date:  2021-06-17
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