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Showing 1 to 12 of 38 entries
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Crop metabolomics: from diagnostics to assisted breeding.

Metabolomics : Official journal of the Metabolomic Society

Alseekh S, Bermudez L, de Haro LA, Fernie AR, Carrari F.
PMID: 30830402
Metabolomics. 2018 Nov 03;14(11):148. doi: 10.1007/s11306-018-1446-5.

BACKGROUND: Until recently, plant metabolomics have provided a deep understanding on the metabolic regulation in individual plants as experimental units. The application of these techniques to agricultural systems subjected to more complex interactions is a step towards the implementation...

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Alseekh S, Bermudez L, de Haro LA, et al. Crop metabolomics: from diagnostics to assisted breeding. Metabolomics. 2018;14(11):148doi: 10.1007/s11306-018-1446-5.
Alseekh, S., Bermudez, L., de Haro, L. A., Fernie, A. R., & Carrari, F. (2018). Crop metabolomics: from diagnostics to assisted breeding. Metabolomics : Official journal of the Metabolomic Society, 14(11), 148. https://doi.org/10.1007/s11306-018-1446-5
Alseekh, Saleh, et al. "Crop metabolomics: from diagnostics to assisted breeding." Metabolomics : Official journal of the Metabolomic Society vol. 14,11 (2018): 148. doi: https://doi.org/10.1007/s11306-018-1446-5
Alseekh S, Bermudez L, de Haro LA, Fernie AR, Carrari F. Crop metabolomics: from diagnostics to assisted breeding. Metabolomics. 2018 Nov 03;14(11):148. doi: 10.1007/s11306-018-1446-5. PMID: 30830402.
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[De novo domestication to create new crops].

Yi chuan = Hereditas

Yang XP, Yu A, Xu C.
PMID: 31549681
Yi Chuan. 2019 Sep 20;41(9):827-835. doi: 10.16288/j.yczz.19-151.

Crop improvement by domestication and traditional breeding often results in fitness penalties and loss of genetic diversity, which greatly threatens crop production and food security under the challenging global climate. De novo domestication has been proposed as a novel...

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Yang XP, Yu A, Xu C. [De novo domestication to create new crops]. Yi Chuan. 2019;41(9):827-835doi: 10.16288/j.yczz.19-151.
Yang, X. P., Yu, A., & Xu, C. (2019). [De novo domestication to create new crops]. Yi chuan = Hereditas, 41(9), 827-835. https://doi.org/10.16288/j.yczz.19-151
Yang, Xin-Ping, et al. "[De novo domestication to create new crops]." Yi chuan = Hereditas vol. 41,9 (2019): 827-835. doi: https://doi.org/10.16288/j.yczz.19-151
Yang XP, Yu A, Xu C. [De novo domestication to create new crops]. Yi Chuan. 2019 Sep 20;41(9):827-835. doi: 10.16288/j.yczz.19-151. Chinese. PMID: 31549681.
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CRISPR-based metabolic editing: Next-generation metabolic engineering in plants.

Gene

Sabzehzari M, Zeinali M, Naghavi MR.
PMID: 32717311
Gene. 2020 Oct 30;759:144993. doi: 10.1016/j.gene.2020.144993. Epub 2020 Jul 24.

Plants generate many secondary metabolites, so called phyto-metabolites, which can be used as toxins, dyes, drugs, and insecticides in bio-warfare plus bio-terrorism, industry, medicine, and agriculture, respectively. To 2013, the first generation metabolic engineering approaches like miRNA-based manipulation were...

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Sabzehzari M, Zeinali M, Naghavi MR. CRISPR-based metabolic editing: Next-generation metabolic engineering in plants. Gene. 2020;759:144993doi: 10.1016/j.gene.2020.144993.
Sabzehzari, M., Zeinali, M., & Naghavi, M. R. (2020). CRISPR-based metabolic editing: Next-generation metabolic engineering in plants. Gene, 759144993. https://doi.org/10.1016/j.gene.2020.144993
Sabzehzari, Mohammad, et al. "CRISPR-based metabolic editing: Next-generation metabolic engineering in plants." Gene vol. 759 (2020): 144993. doi: https://doi.org/10.1016/j.gene.2020.144993
Sabzehzari M, Zeinali M, Naghavi MR. CRISPR-based metabolic editing: Next-generation metabolic engineering in plants. Gene. 2020 Oct 30;759:144993. doi: 10.1016/j.gene.2020.144993. Epub 2020 Jul 24. PMID: 32717311.
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KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species.

Plant biotechnology journal

Hassani-Pak K, Singh A, Brandizi M, Hearnshaw J, Parsons JD, Amberkar S, Phillips AL, Doonan JH, Rawlings C.
PMID: 33750020
Plant Biotechnol J. 2021 Aug;19(8):1670-1678. doi: 10.1111/pbi.13583. Epub 2021 Apr 05.

The generation of new ideas and scientific hypotheses is often the result of extensive literature and database searches, but, with the growing wealth of public and private knowledge, the process of searching diverse and interconnected data to generate new...

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Hassani-Pak K, Singh A, Brandizi M, et al. KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species. Plant Biotechnol J. 2021;19(8):1670-1678doi: 10.1111/pbi.13583.
Hassani-Pak, K., Singh, A., Brandizi, M., Hearnshaw, J., Parsons, J. D., Amberkar, S., Phillips, A. L., Doonan, J. H., & Rawlings, C. (2021). KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species. Plant biotechnology journal, 19(8), 1670-1678. https://doi.org/10.1111/pbi.13583
Hassani-Pak, Keywan, et al. "KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species." Plant biotechnology journal vol. 19,8 (2021): 1670-1678. doi: https://doi.org/10.1111/pbi.13583
Hassani-Pak K, Singh A, Brandizi M, Hearnshaw J, Parsons JD, Amberkar S, Phillips AL, Doonan JH, Rawlings C. KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species. Plant Biotechnol J. 2021 Aug;19(8):1670-1678. doi: 10.1111/pbi.13583. Epub 2021 Apr 05. PMID: 33750020; PMCID: PMC8384599.
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Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections.

Current protocols

Guerra-García A, Gioia T, von Wettberg E, Logozzo G, Papa R, Bitocchi E, Bett KE.
PMID: 34004055
Curr Protoc. 2021 May;1(5):e134. doi: 10.1002/cpz1.134.

The genetic and phenotypic characterization of crops allows us to elucidate their evolutionary and domestication history, the genetic basis of important traits, and the use of variation present in landraces and wild relatives to enhance resilience. In this context,...

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Guerra-García A, Gioia T, von Wettberg E, et al. Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections. Curr Protoc. 2021;1(5):e134doi: 10.1002/cpz1.134.
Guerra-García, A., Gioia, T., von Wettberg, E., Logozzo, G., Papa, R., Bitocchi, E., & Bett, K. E. (2021). Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections. Current protocols, 1(5), e134. https://doi.org/10.1002/cpz1.134
Guerra-García, Azalea, et al. "Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections." Current protocols vol. 1,5 (2021): e134. doi: https://doi.org/10.1002/cpz1.134
Guerra-García A, Gioia T, von Wettberg E, Logozzo G, Papa R, Bitocchi E, Bett KE. Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections. Curr Protoc. 2021 May;1(5):e134. doi: 10.1002/cpz1.134. PMID: 34004055.
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The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research.

G3 (Bethesda, Md.)

Xiao Q, Wang H, Song N, Yu Z, Imran K, Xie W, Qiu S, Zhou F, Wen J, Dai C, Ma C, Tu J, Shen J, Fu T, Yi B.
PMID: 34568935
G3 (Bethesda). 2021 Sep 27;11(10). doi: 10.1093/g3journal/jkab241.

Rapeseed is a globally cultivated commercial crop, primarily grown for its oil. High-density single nucleotide polymorphism (SNP) arrays are widely used as a standard genotyping tool for rapeseed research, including for gene mapping, genome-wide association studies, germplasm resource analysis,...

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Xiao Q, Wang H, Song N, et al. The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research. G3 (Bethesda). 2021;11(10)doi: 10.1093/g3journal/jkab241.
Xiao, Q., Wang, H., Song, N., Yu, Z., Imran, K., Xie, W., Qiu, S., Zhou, F., Wen, J., Dai, C., Ma, C., Tu, J., Shen, J., Fu, T., & Yi, B. (2021). The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research. G3 (Bethesda, Md.), 11(10), . https://doi.org/10.1093/g3journal/jkab241
Xiao, Qing, et al. "The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research." G3 (Bethesda, Md.) vol. 11,10 (2021). doi: https://doi.org/10.1093/g3journal/jkab241
Xiao Q, Wang H, Song N, Yu Z, Imran K, Xie W, Qiu S, Zhou F, Wen J, Dai C, Ma C, Tu J, Shen J, Fu T, Yi B. The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research. G3 (Bethesda). 2021 Sep 27;11(10). doi: 10.1093/g3journal/jkab241. PMID: 34568935; PMCID: PMC8473974.
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Comparative physiological and transcriptomic analysis reveals salinity tolerance mechanisms in Sorghum bicolor (L.) Moench.

Planta

Ukwatta J, Pabuayon ICM, Park J, Chen J, Chai X, Zhang H, Zhu JK, Xin Z, Shi H.
PMID: 34657208
Planta. 2021 Oct 16;254(5):98. doi: 10.1007/s00425-021-03750-w.

MAIN CONCLUSION: Mota Maradi is a sorghum line that exhibits holistic salinity tolerance mechanisms, making it a viable potential donor in breeding efforts for improved sorghum lines. High soil salinity is one of the global challenges for crop growth...

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Ukwatta J, Pabuayon ICM, Park J, et al. Comparative physiological and transcriptomic analysis reveals salinity tolerance mechanisms in Sorghum bicolor (L.) Moench. Planta. 2021;254(5):98doi: 10.1007/s00425-021-03750-w.
Ukwatta, J., Pabuayon, I. C. M., Park, J., Chen, J., Chai, X., Zhang, H., Zhu, J. K., Xin, Z., & Shi, H. (2021). Comparative physiological and transcriptomic analysis reveals salinity tolerance mechanisms in Sorghum bicolor (L.) Moench. Planta, 254(5), 98. https://doi.org/10.1007/s00425-021-03750-w
Ukwatta, Jayan, et al. "Comparative physiological and transcriptomic analysis reveals salinity tolerance mechanisms in Sorghum bicolor (L.) Moench." Planta vol. 254,5 (2021): 98. doi: https://doi.org/10.1007/s00425-021-03750-w
Ukwatta J, Pabuayon ICM, Park J, Chen J, Chai X, Zhang H, Zhu JK, Xin Z, Shi H. Comparative physiological and transcriptomic analysis reveals salinity tolerance mechanisms in Sorghum bicolor (L.) Moench. Planta. 2021 Oct 16;254(5):98. doi: 10.1007/s00425-021-03750-w. PMID: 34657208.
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Epigenetics: possible applications in climate-smart crop breeding.

Journal of experimental botany

Varotto S, Tani E, Abraham E, Krugman T, Kapazoglou A, Melzer R, Radanović A, Miladinović D.
PMID: 32279074
J Exp Bot. 2020 Aug 17;71(17):5223-5236. doi: 10.1093/jxb/eraa188.

To better adapt transiently or lastingly to stimuli from the surrounding environment, the chromatin states in plant cells vary to allow the cells to fine-tune their transcriptional profiles. Modifications of chromatin states involve a wide range of post-transcriptional histone...

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Varotto S, Tani E, Abraham E, et al. Epigenetics: possible applications in climate-smart crop breeding. J Exp Bot. 2020;71(17):5223-5236doi: 10.1093/jxb/eraa188.
Varotto, S., Tani, E., Abraham, E., Krugman, T., Kapazoglou, A., Melzer, R., Radanović, A., & Miladinović, D. (2020). Epigenetics: possible applications in climate-smart crop breeding. Journal of experimental botany, 71(17), 5223-5236. https://doi.org/10.1093/jxb/eraa188
Varotto, Serena, et al. "Epigenetics: possible applications in climate-smart crop breeding." Journal of experimental botany vol. 71,17 (2020): 5223-5236. doi: https://doi.org/10.1093/jxb/eraa188
Varotto S, Tani E, Abraham E, Krugman T, Kapazoglou A, Melzer R, Radanović A, Miladinović D. Epigenetics: possible applications in climate-smart crop breeding. J Exp Bot. 2020 Aug 17;71(17):5223-5236. doi: 10.1093/jxb/eraa188. PMID: 32279074; PMCID: PMC7475248.
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Genome Editing in Agriculture: Technical and Practical Considerations.

International journal of molecular sciences

Jansing J, Schiermeyer A, Schillberg S, Fischer R, Bortesi L.
PMID: 31200517
Int J Mol Sci. 2019 Jun 13;20(12). doi: 10.3390/ijms20122888.

The advent of precise genome-editing tools has revolutionized the way we create new plant varieties. Three groups of tools are now available, classified according to their mechanism of action: Programmable sequence-specific nucleases, base-editing enzymes, and oligonucleotides. The corresponding techniques...

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Jansing J, Schiermeyer A, Schillberg S, et al. Genome Editing in Agriculture: Technical and Practical Considerations. Int J Mol Sci. 2019;20(12)doi: 10.3390/ijms20122888.
Jansing, J., Schiermeyer, A., Schillberg, S., Fischer, R., & Bortesi, L. (2019). Genome Editing in Agriculture: Technical and Practical Considerations. International journal of molecular sciences, 20(12), . https://doi.org/10.3390/ijms20122888
Jansing, Julia, et al. "Genome Editing in Agriculture: Technical and Practical Considerations." International journal of molecular sciences vol. 20,12 (2019). doi: https://doi.org/10.3390/ijms20122888
Jansing J, Schiermeyer A, Schillberg S, Fischer R, Bortesi L. Genome Editing in Agriculture: Technical and Practical Considerations. Int J Mol Sci. 2019 Jun 13;20(12). doi: 10.3390/ijms20122888. PMID: 31200517; PMCID: PMC6627516.
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Metabolomics profile responses to changing environments in a common bean (Phaseolus vulgaris L.) germplasm collection.

Food chemistry

Mecha E, Erny GL, Guerreiro ACL, Feliciano RP, Barbosa I, Bento da Silva A, Leitão ST, Veloso MM, Rubiales D, Rodriguez-Mateos A, Figueira ME, Vaz Patto MC, Bronze MR.
PMID: 34543920
Food Chem. 2022 Feb 15;370:131003. doi: 10.1016/j.foodchem.2021.131003. Epub 2021 Aug 31.

Metabolomics is one of the most powerful -omics to assist plant breeding. Despite the recognized genetic diversity in Portuguese common bean germplasm, details on its metabolomics profiles are still missing. Aiming to promote their use and to understand the...

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Mecha E, Erny GL, Guerreiro ACL, et al. Metabolomics profile responses to changing environments in a common bean (Phaseolus vulgaris L.) germplasm collection. Food Chem. 2021;370:131003doi: 10.1016/j.foodchem.2021.131003.
Mecha, E., Erny, G. L., Guerreiro, A. C. L., Feliciano, R. P., Barbosa, I., Bento da Silva, A., Leitão, S. T., Veloso, M. M., Rubiales, D., Rodriguez-Mateos, A., Figueira, M. E., Vaz Patto, M. C., & Bronze, M. R. (2022). Metabolomics profile responses to changing environments in a common bean (Phaseolus vulgaris L.) germplasm collection. Food chemistry, 370131003. https://doi.org/10.1016/j.foodchem.2021.131003
Mecha, Elsa, et al. "Metabolomics profile responses to changing environments in a common bean (Phaseolus vulgaris L.) germplasm collection." Food chemistry vol. 370 (2022): 131003. doi: https://doi.org/10.1016/j.foodchem.2021.131003
Mecha E, Erny GL, Guerreiro ACL, Feliciano RP, Barbosa I, Bento da Silva A, Leitão ST, Veloso MM, Rubiales D, Rodriguez-Mateos A, Figueira ME, Vaz Patto MC, Bronze MR. Metabolomics profile responses to changing environments in a common bean (Phaseolus vulgaris L.) germplasm collection. Food Chem. 2022 Feb 15;370:131003. doi: 10.1016/j.foodchem.2021.131003. Epub 2021 Aug 31. PMID: 34543920.
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Halophytes and other molecular strategies for the generation of salt-tolerant crops.

Plant physiology and biochemistry : PPB

Barros NLF, Marques DN, Tadaiesky LBA, de Souza CRB.
PMID: 33773233
Plant Physiol Biochem. 2021 May;162:581-591. doi: 10.1016/j.plaphy.2021.03.028. Epub 2021 Mar 18.

The current increase in salinity can intensify the disparity between potential and actual crop yields, thus affecting economies and food security. One of the mitigating alternatives is plant breeding via biotechnology, where advances achieved so far are significant. Considering...

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Barros NLF, Marques DN, Tadaiesky LBA, et al. Halophytes and other molecular strategies for the generation of salt-tolerant crops. Plant Physiol Biochem. 2021;162:581-591doi: 10.1016/j.plaphy.2021.03.028.
Barros, N. L. F., Marques, D. N., Tadaiesky, L. B. A., & de Souza, C. R. B. (2021). Halophytes and other molecular strategies for the generation of salt-tolerant crops. Plant physiology and biochemistry : PPB, 162581-591. https://doi.org/10.1016/j.plaphy.2021.03.028
Barros, Nicolle Louise Ferreira, et al. "Halophytes and other molecular strategies for the generation of salt-tolerant crops." Plant physiology and biochemistry : PPB vol. 162 (2021): 581-591. doi: https://doi.org/10.1016/j.plaphy.2021.03.028
Barros NLF, Marques DN, Tadaiesky LBA, de Souza CRB. Halophytes and other molecular strategies for the generation of salt-tolerant crops. Plant Physiol Biochem. 2021 May;162:581-591. doi: 10.1016/j.plaphy.2021.03.028. Epub 2021 Mar 18. PMID: 33773233.
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Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax.

International journal of molecular sciences

Lan S, Zheng C, Hauck K, McCausland M, Duguid SD, Booker HM, Cloutier S, You FM.
PMID: 32106624
Int J Mol Sci. 2020 Feb 25;21(5). doi: 10.3390/ijms21051577.

Molecular markers are one of the major factors affecting genomic prediction accuracy and the cost of genomic selection (GS). Previous studies have indicated that the use of quantitative trait loci (QTL) as markers in GS significantly increases prediction accuracy...

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Lan S, Zheng C, Hauck K, et al. Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax. Int J Mol Sci. 2020;21(5)doi: 10.3390/ijms21051577.
Lan, S., Zheng, C., Hauck, K., McCausland, M., Duguid, S. D., Booker, H. M., Cloutier, S., & You, F. M. (2020). Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax. International journal of molecular sciences, 21(5), . https://doi.org/10.3390/ijms21051577
Lan, Samuel, et al. "Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax." International journal of molecular sciences vol. 21,5 (2020). doi: https://doi.org/10.3390/ijms21051577
Lan S, Zheng C, Hauck K, McCausland M, Duguid SD, Booker HM, Cloutier S, You FM. Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax. Int J Mol Sci. 2020 Feb 25;21(5). doi: 10.3390/ijms21051577. PMID: 32106624; PMCID: PMC7084455.
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Showing 1 to 12 of 38 entries