Wild rodents seed choice is relevant for sustainable agriculture.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
10 Jul 2024
Historique:
received: 18 01 2024
accepted: 08 07 2024
medline: 11 7 2024
pubmed: 11 7 2024
entrez: 10 7 2024
Statut: epublish

Résumé

Mitigating pre-harvest sprouting (PHS) and post-harvest food loss (PHFL) is essential for enhancing food securrity. To reduce food loss, the use of plant derived specialized metabolites can represent a good approach to develop a more eco-friendly agriculture. Here, we have discovered that soybean seeds hidden underground during winter by Tscherskia triton and Apodemus agrarius during winter possess a higher concentration of volatile organic compounds (VOCs) compared to those remaining exposed in fields. This selection by rodents suggests that among the identified volatiles, 3-FurAldehyde (Fur) and (E)-2-Heptenal (eHep) effectively inhibit the growth of plant pathogens such as Aspergillus flavus, Alternaria alternata, Fusarium solani and Pseudomonas syringae. Additionally, compounds such as Camphene (Cam), 3-FurAldehyde, and (E)-2-Heptenal, suppress the germination of seeds in crops including soybean, rice, maize, and wheat. Importantly, some of these VOCs also prevent rice seeds from pre-harvest sprouting. Consequently, our findings offer straightforward and practical approaches to seed protection and the reduction of PHS and PHFL, indicating potential new pathways for breeding, and reducing both PHS and pesticide usage in agriculture.

Identifiants

pubmed: 38987328
doi: 10.1038/s41598-024-67057-y
pii: 10.1038/s41598-024-67057-y
doi:

Substances chimiques

Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15994

Subventions

Organisme : National Natural Science Foundation of China
ID : Grant numbers: 32070274
Organisme : National Natural Science Foundation of China
ID : 31771882
Organisme : National Natural Science Foundation of China
ID : 32072014
Organisme : National Natural Science Foundation of China
ID : U20A2027
Organisme : National Natural Science Foundation of China
ID : 31801389
Organisme : National Key Research and Development Program of China
ID : 2021YFF1001206
Organisme : High Oil and Yield Germplasm Development and Breeding Utilization
ID : (CZKYF2021-2-C009)

Informations de copyright

© 2024. The Author(s).

Références

Krishna, T. P. A., Maharajan, T. & Ceasar, S. A. Application of CRISPR/Cas9 genome editing system to reduce the pre-and post-harvest yield losses in cereals. Open Biotechnol. J. 16, 1–9. https://doi.org/10.2174/18740707-v16-e2205190 (2022).
doi: 10.2174/18740707-v16-e2205190
Pirzada, T. et al. Plant-biomass-based hybrid seed wraps mitigate yield and post-harvest losses among smallholder farmers in sub-Saharan Africa. Nat. Food 4(2), 148–159. https://doi.org/10.1038/s43016-023-00695-z (2023).
doi: 10.1038/s43016-023-00695-z pubmed: 37117858 pmcid: 10154224
Tanya, S. et al. A scoping review of interventions for crop postharvest loss reduction in sub-Saharan Africa and South Asia. Nat Sustain. 3, 821–835. https://doi.org/10.1038/s41893-020-00622-1 (2020).
doi: 10.1038/s41893-020-00622-1
Penfield, S. Seed dormancy and germination. Curr. Biol. 27(17), R874–R878. https://doi.org/10.1016/j.cub.2017.05.050 (2017).
doi: 10.1016/j.cub.2017.05.050 pubmed: 28898656
Baskin, C. C. & Baskin, J. M. Seed, ecology, biogeography and evolution of dormancy, and germination. Crop Sci. 40(2), 564. https://doi.org/10.2135/cropsci2000.0009br (2001).
doi: 10.2135/cropsci2000.0009br
Lee, H. et al. Occurrence of rice preharvest sprouting varies greatly depending on past weather conditions during grain filling. Field Crops Res. 264, 108087. https://doi.org/10.1016/j.fcr.2021.108087 (2021).
doi: 10.1016/j.fcr.2021.108087
Singh, B. K. et al. Climate change impacts on plant pathogens, food security and paths forward. Nat. Rev. Microbiol. 21(10), 640–656. https://doi.org/10.1038/s41579-023-00900-7 (2023).
doi: 10.1038/s41579-023-00900-7 pubmed: 37131070
Mancini, V. & Romanazzi, G. Seed treatments to control seedborne fungal pathogens of vegetable crops. Pest Manage. Sci. 70(6), 860–868. https://doi.org/10.1002/ps.3693 (2014).
doi: 10.1002/ps.3693
Martín, I., Gálvez, L., Guasch, L. & Palmero, D. Fungal pathogens and seed storage in the dry state. Plants Basel Switzerl. 11(22), 3167. https://doi.org/10.3390/plants11223167 (2022).
doi: 10.3390/plants11223167
Amaike, S. & Keller, N. P. Aspergillus flavus. Annu. Rev. Phytopatholog. 49, 107–133. https://doi.org/10.1146/annurev-phyto-072910-095221 (2011).
doi: 10.1146/annurev-phyto-072910-095221
Valmor, Z., Ricardo, T. P. & Cristiano, D. F. Grain storage systems and effects of moisture, temperature and time on grain quality—a review. J. Stored Prod. Res. 91, 101770. https://doi.org/10.1016/j.jspr.2021.101770 (2021).
doi: 10.1016/j.jspr.2021.101770
Debabandya, M., Sunil, K., Nachiket, K. & Krishna, K. S. Critical factors responsible for fungi growth in stored food grains and non-chemical approaches for their control. Ind. Crops Prod. 108, 162–182. https://doi.org/10.1016/j.indcrop.2017.06.039 (2017).
doi: 10.1016/j.indcrop.2017.06.039
Ashish, M., Paschal, M. & Ajay, S. An overview of the post-harvest grain storage practices of smallholder farmers in developing countries. Agriculture 8, 57. https://doi.org/10.3390/agriculture8040057 (2018).
doi: 10.3390/agriculture8040057
Hammerbacher, A., Coutinho, T. A. & Gershenzon, J. Roles of plant volatiles in defence against microbial pathogens and microbial exploitation of volatiles. Plant Cell Env. 42(10), 2827–2843. https://doi.org/10.1111/pce.13602 (2019).
doi: 10.1111/pce.13602
Kononowicz, T. W., van Wassenhove, V. & Doyère, V. Rodents monitor their error in self-generated duration on a single trial basis. Proc. Natl. Acad. Sci. U. S. A. 119(9), e2108850119. https://doi.org/10.1073/pnas.2108850119 (2022).
doi: 10.1073/pnas.2108850119 pubmed: 35193973 pmcid: 8892352
Gurnell, J. & Anderson, M. Evolutionary links between squirrels and conifer seed phenology in high latitude forests. In Thematic Session: Ecology & Behaviour Proceedings a/the 1 European Congress 0/ Mammalogy, Museu Bocage, Lisboa 237–249 (1996).
Kerley, G. I. & Erasmus, T. What do mice select for in seeds?. Oecologia 86(2), 261–267. https://doi.org/10.1007/BF00317539 (1991).
doi: 10.1007/BF00317539 pubmed: 28313209
Xie, P. et al. Control of bird feeding behavior by tannin1 through modulating the biosynthesis of polyphenols and fatty acid-derived volatiles in sorghum. Mol. Plant 12(10), 1315–1324. https://doi.org/10.1016/j.molp.2019.08.004 (2019).
doi: 10.1016/j.molp.2019.08.004 pubmed: 31557534
Cai, H., Hauser, M., Naider, F. & Becker, J. M. Halo assay for toxic peptides and other compounds in microorganisms. Bio-protocol. 6(22), e2025. https://doi.org/10.21769/BioProtoc.2025 (2016).
doi: 10.21769/BioProtoc.2025 pubmed: 28573166
Parker, F. C., Price, C. J., Bytheway, J. P. & Banks, P. B. Olfactory misinformation reduces wheat seed loss caused by rodent pests. Nat. Sustain. 6, 1041–1044. https://doi.org/10.1038/s41893-023-01127-3 (2023).
doi: 10.1038/s41893-023-01127-3
Ahmed, F., Khan, M., Hossain, M., Jahan, M. & Mridha, A. Seed quality of soybean as influenced by pod position and their subsequent effect on yield. J. Expt. Biosci. 1(1), 1–6 (2001).
Sharma, S., Kaur, A., Bansal, A. & Gill, B. S. Positional effects on soybean seed composition during storage. J. Food Sci. Technol. 50(2), 353–359. https://doi.org/10.1007/s13197-011-0341-0 (2013).
doi: 10.1007/s13197-011-0341-0 pubmed: 24425927
Liu, Y. et al. Pan-genome of wild and cultivated soybeans. Cell. 182(1), 162-176.e13. https://doi.org/10.1016/j.cell.2020.05.023 (2020).
doi: 10.1016/j.cell.2020.05.023 pubmed: 32553274
Broggi, L. E., González, H. H. L., Resnik, S. L. & Pacin, A. Predominancia de Alternaria alternata en cereales y soja de la provincia de entre Ríos, Argentina. Rev. Iberoam. Micol. 24, 47–51. https://doi.org/10.1016/S1130-1406(07)70012-8 (2007).
doi: 10.1016/S1130-1406(07)70012-8 pubmed: 17592893
Pareek, V. & Varma, R. Fusarium solani a dominant seed borne pathogen in seeds of cluster bean grown in Rajasthan. Biosci. Biotechnol. Res. Commun. 8(1), 29–34 (2015).
Wang, Y., Wang, R. & Sha, Y. Distribution, pathogenicity and disease control of Fusarium tricinctum. Front. Microbiol. 13, 939927. https://doi.org/10.3389/fmicb.2022.939927 (2022).
doi: 10.3389/fmicb.2022.939927 pubmed: 35958126 pmcid: 9360978
Wittwer, R. A. et al. Organic and conservation agriculture promote ecosystem multifunctionality. Sci. Adv. 7(34), 6995. https://doi.org/10.1126/sciadv.abg6995 (2021).
doi: 10.1126/sciadv.abg6995
Pichersky, E. & Gershenzon, J. The formation and function of plant volatiles: Perfumes for pollinator attraction and defense. Curr. Opin. Plant Biol. 5(3), 237–243. https://doi.org/10.1016/s1369-5266(02)00251-0 (2002).
doi: 10.1016/s1369-5266(02)00251-0 pubmed: 11960742
Sharifi, R. & Ryu, C. M. Revisiting bacterial volatile-mediated plant growth promotion: lessons from the past and objectives for the future. Ann. Bot. 122(3), 349–358. https://doi.org/10.1093/aob/mcy108 (2018).
doi: 10.1093/aob/mcy108 pubmed: 29982345 pmcid: 6110341
Moose, S. P., Dudley, J. W. & Rocheford, T. R. Maize selection passes the century mark: A unique resource for 21st century genomics. Trends Plant Sci. 9(7), 358–364. https://doi.org/10.1016/j.tplants.2004.05.005 (2004).
doi: 10.1016/j.tplants.2004.05.005 pubmed: 15231281
Chenyin, P., Yu, W., Fenghou, S. & Yongbao, S. Review of the current research progress of seed germination inhibitors. Horticulturae 9, 462. https://doi.org/10.3390/horticulturae9040462 (2023).
doi: 10.3390/horticulturae9040462
Yu, F. et al. Rodent-mediated plant seed dispersal: What happens to the seeds after entering the gaps with different sizes?. Ecol. Evol. 12(1), e8286. https://doi.org/10.22541/au.162504004.45968824/v1 (2021).
doi: 10.22541/au.162504004.45968824/v1
Salmanowicz, B. P. et al. The relationship between grain hardness, dough mixing parameters and bread-making quality in winter wheat. Int. J. Mol. Sci. 13(4), 4186–4201. https://doi.org/10.3390/ijms13044186 (2012).
doi: 10.3390/ijms13044186 pubmed: 22605973 pmcid: 3344209
Wang, Y. et al. Beneficial effects of cadmium on plant defense of an invasive plant. Environ. Exp. Bot. 204, 105101. https://doi.org/10.1016/j.envexpbot.2022.105101 (2022).
doi: 10.1016/j.envexpbot.2022.105101
Fan, S. et al. Analysis of additive and epistatic quantitative trait loci underlying fatty acid concentrations in soybean seeds across multiple environments. Euphytica 206, 689–700. https://doi.org/10.1007/s10681-015-1491-3 (2015).
doi: 10.1007/s10681-015-1491-3
Hu, B. et al. Development and validation of a GC–MS method for soybean organ-specific metabolomics. Plant Prod. Sci. 21, 215–224. https://doi.org/10.1080/1343943X.2018.1488539 (2018).
doi: 10.1080/1343943X.2018.1488539
Kong, W. L., Li, P. S., Wu, X. Q., Wu, T. Y. & Sun, X. R. Forest tree associated bacterial diffusible and volatile organic compounds against various phytopathogenic fungi. Microorganisms. 8(4), 590. https://doi.org/10.3390/microorganisms8040590 (2020).
doi: 10.3390/microorganisms8040590 pubmed: 32325752 pmcid: 7232321
Manmathan, H. & Lapitan, N. L. Measuring germination percentage in wheat. Bio-protocol. 3(16), e866. https://doi.org/10.21769/BIOPROTOC.866 (2013).
doi: 10.21769/BIOPROTOC.866
Xu, F. et al. Control of rice pre-harvest sprouting by glutaredoxin-mediated abscisic acid signaling. Plant J. Cell Mol. Biol. https://doi.org/10.1111/tpj.14501 (2019).
doi: 10.1111/tpj.14501

Auteurs

Yang Peng (Y)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Zhenbang Hu (Z)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Wen Dong (W)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Xiaodong Wu (X)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Chunyan Liu (C)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Rongsheng Zhu (R)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Jinhui Wang (J)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Mingliang Yang (M)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Zhaoming Qi (Z)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Ying Zhao (Y)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Jianan Zou (J)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Xiaoxia Wu (X)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Yingdong Bi (Y)

Institute of Crop Cultivation and Tillage, Heilongjiang Academy of Agricultural Sciences, Harbin, 150028, Heilongjiang,, China.

Limin Hu (L)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.

Pascal Ratet (P)

Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif sur Yvette, France. pascal.ratet@universite-paris-saclay.fr.
Institute of Plant Sciences Paris-Saclay (IPS2), Université de Paris, 91190, Gif sur Yvette, France. pascal.ratet@universite-paris-saclay.fr.

Qingshan Chen (Q)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China. qshchen@126.com.

Dawei Xin (D)

National Key Laboratory of Smart Farm Technologies and Systems, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China. xdawei@163.com.
Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91190, Gif sur Yvette, France. xdawei@163.com.
Institute of Plant Sciences Paris-Saclay (IPS2), Université de Paris, 91190, Gif sur Yvette, France. xdawei@163.com.

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