The INCREASE project: Intelligent Collections of food-legume genetic resources for European agrofood systems.
artificial intelligence
high-throughput phenotyping
metabolomics
plant genetic resources
symbiosis
Journal
The Plant journal : for cell and molecular biology
ISSN: 1365-313X
Titre abrégé: Plant J
Pays: England
ID NLM: 9207397
Informations de publication
Date de publication:
11 2021
11 2021
Historique:
revised:
11
08
2021
received:
06
05
2021
accepted:
17
08
2021
pubmed:
25
8
2021
medline:
27
1
2022
entrez:
24
8
2021
Statut:
ppublish
Résumé
Food legumes are crucial for all agriculture-related societal challenges, including climate change mitigation, agrobiodiversity conservation, sustainable agriculture, food security and human health. The transition to plant-based diets, largely based on food legumes, could present major opportunities for adaptation and mitigation, generating significant co-benefits for human health. The characterization, maintenance and exploitation of food-legume genetic resources, to date largely unexploited, form the core development of both sustainable agriculture and a healthy food system. INCREASE will implement, on chickpea (Cicer arietinum), common bean (Phaseolus vulgaris), lentil (Lens culinaris) and lupin (Lupinus albus and L. mutabilis), a new approach to conserve, manage and characterize genetic resources. Intelligent Collections, consisting of nested core collections composed of single-seed descent-purified accessions (i.e., inbred lines), will be developed, exploiting germplasm available both from genebanks and on-farm and subjected to different levels of genotypic and phenotypic characterization. Phenotyping and gene discovery activities will meet, via a participatory approach, the needs of various actors, including breeders, scientists, farmers and agri-food and non-food industries, exploiting also the power of massive metabolomics and transcriptomics and of artificial intelligence and smart tools. Moreover, INCREASE will test, with a citizen science experiment, an innovative system of conservation and use of genetic resources based on a decentralized approach for data management and dynamic conservation. By promoting the use of food legumes, improving their quality, adaptation and yield and boosting the competitiveness of the agriculture and food sector, the INCREASE strategy will have a major impact on economy and society and represents a case study of integrative and participatory approaches towards conservation and exploitation of crop genetic resources.
Identifiants
pubmed: 34427014
doi: 10.1111/tpj.15472
pmc: PMC9293105
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
646-660Informations de copyright
© 2021 The Authors. The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd.
Références
J Integr Bioinform. 2020 Jan 8;16(4):
pubmed: 31913851
Mol Plant Pathol. 2018 Nov;19(11):2516-2523
pubmed: 30011120
Cell. 2018 Jan 11;172(1-2):249-261.e12
pubmed: 29328914
Nat Commun. 2012;3:1293
pubmed: 23250423
Nat Rev Genet. 2009 Aug;10(8):565-77
pubmed: 19584810
Mol Biol Evol. 2016 Jul;33(7):1740-53
pubmed: 27189559
Plant Cell. 2017 Nov;29(11):2753-2765
pubmed: 29093214
Nature. 2009 Sep 24;461(7263):472-5
pubmed: 19779433
Plant Cell. 2014 Dec;26(12):4636-55
pubmed: 25501589
J Exp Bot. 2015 Sep;66(18):5417-27
pubmed: 26044092
Nat Genet. 2016 Sep;48(9):1024-30
pubmed: 27428750
Nat Biotechnol. 2021 Feb;39(2):169-173
pubmed: 33169034
Front Plant Sci. 2020 Jun 11;11:701
pubmed: 32595658
Front Plant Sci. 2018 Aug 14;9:1185
pubmed: 30154814
Trends Plant Sci. 2019 Oct;24(10):882-884
pubmed: 31474554
Nat Genet. 2019 Jun;51(6):1052-1059
pubmed: 31152161
Nature. 2018 Oct;562(7728):480-482
pubmed: 30353162
G3 (Bethesda). 2016 Jul 07;6(7):2091-101
pubmed: 27185400
Trends Plant Sci. 2020 Nov;25(11):1062-1064
pubmed: 32863103
Nat Protoc. 2020 Jun;15(6):1954-1991
pubmed: 32405051
Plant Cell. 2014 May 21;26(5):1901-1912
pubmed: 24850850
New Phytol. 2018 Mar;217(4):1407-1419
pubmed: 29359808
Mol Biol Evol. 2021 Apr 13;38(4):1262-1275
pubmed: 33212480
Evol Appl. 2012 Dec;5(8):779-95
pubmed: 23346224
Front Plant Sci. 2016 May 23;7:669
pubmed: 27242870
Cell. 2019 Aug 22;178(5):1260-1272.e14
pubmed: 31442410
J Exp Bot. 2021 May 4;72(10):3569-3581
pubmed: 33693665
Trends Plant Sci. 2021 Jun;26(6):650-661
pubmed: 33653662
Plant Sci. 2016 Jan;242:351-357
pubmed: 26566851
J Sci Food Agric. 2020 Aug 30;100(11):4083-4092
pubmed: 31141162
Plant Cell. 2020 Jan;32(1):15-41
pubmed: 31649123
G3 (Bethesda). 2016 Jul 07;6(7):1819-34
pubmed: 27172218
Front Plant Sci. 2020 Jan 22;10:1712
pubmed: 32038684
Front Plant Sci. 2021 Mar 09;12:617873
pubmed: 33767716
Theor Appl Genet. 2019 Mar;132(3):617-626
pubmed: 29971473
Brief Funct Genomics. 2018 May 1;17(3):198-206
pubmed: 29688255
Nat Methods. 2021 Jul;18(7):747-756
pubmed: 34239102
Nature. 2020 Dec;588(7837):284-289
pubmed: 33239781
Vet Parasitol. 2011 Nov 24;182(1):2-13
pubmed: 21835548
Plant J. 2019 Mar;97(6):1132-1153
pubmed: 30480348
Nat Genet. 2019 Jul;51(7):1076-1081
pubmed: 31253974
Curr Protoc. 2021 May;1(5):e133
pubmed: 34004060
Mol Plant. 2020 Oct 5;13(10):1341-1344
pubmed: 32835887
New Phytol. 2019 Jan;221(1):588-601
pubmed: 30152011
Curr Protoc. 2021 May;1(5):e134
pubmed: 34004055
Front Plant Sci. 2019 Jul 31;10:965
pubmed: 31428111
Database (Oxford). 2013 Oct 25;2013:bat075
pubmed: 24163125
Nat Genet. 2019 May;51(5):857-864
pubmed: 31036963
Front Plant Sci. 2019 Oct 25;10:1307
pubmed: 31708943
Sci Rep. 2020 Aug 19;10(1):13995
pubmed: 32814806
Plant J. 2013 Nov;76(3):530-44
pubmed: 23937694
Cell. 2020 Jul 9;182(1):162-176.e13
pubmed: 32553274
Curr Protoc. 2021 Jul;1(7):e191
pubmed: 34242495
Nat Genet. 2019 Feb;51(2):319-326
pubmed: 30420647
Curr Opin Plant Biol. 2015 Feb;23:98-108
pubmed: 25449733
Nat Commun. 2020 Sep 11;11(1):4572
pubmed: 32917907
Front Plant Sci. 2018 Dec 04;9:1794
pubmed: 30564263