Keywords: paralog processing, transcriptome reprogramming, barley, metabolomics

Latest 31 Papers

Evaluation of combined root exudate and rhizosphere microbiota sampling approaches to elucidate plant-soil-microbe interaction

Authors: Escudero-Martinez, C., Browne, E. Y., Schwalm, H., Santangeli, M., Brown, M., Brown, L., Roberts, D. M., Duff, A. M., Morris, J., Hedley, P. E., Thorpe, P., Abbott, J. C., Brennan, F., Bulgarelli, D., George, T. S., Oburger, E.

Date: 2025-10-24 · Version: 1

DOI: 10.1101/2025.10.23.683011

Model Organism: Hordeum vulgare

root exudates rhizosphere microbiota barley sampling protocols amplicon sequencing

Unravelling the intraspecific variation in drought responses in seedlings of European black pine (Pinus nigra J.F. Arnold)

Authors: Ahmad, M., Hammerbacher, A., Priemer, C., Ciceu, A., Karolak, M., Mader, S., Olsson, S., Schinnerl, J., Seitner, S., Schoendorfer, S., Helfenbein, P., Jakub, J., Breuer, M., Espinosa, A., Caballero, T., Ganthaler, A., Mayr, S., Grosskinsky, D. K., Wienkoop, S., Schueler, S., Trujillo-Moya, C., van Loo, M.

Date: 2025-10-21 · Version: 1

DOI: 10.1101/2025.10.20.683360

Model Organism: Pinus nigra

drought tolerance Pinus nigra metabolomics transcriptomics phenotyping

Additive and partially dominant effects from genomic variation contribute to rice heterosis

Authors: Dan, Z., Chen, Y., Zhou, W., Xu, Y., Huang, J., Chen, Y., Meng, J., Yao, G., Huang, W.

Date: 2025-10-17 · Version: 4

DOI: 10.1101/2024.07.16.603817

Model Organism: Oryza sativa

heterosis Oryza sativa additive and partially dominant effects metabolomics phenylpropanoid biosynthesis

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae)

Authors: Moore-Pollard, E. R., Ellestad, P., Mandel, J.

Date: 2025-10-13 · Version: 2

DOI: 10.1101/2025.09.14.676143

Model Organism: Multi-species

phylogenomic discordance polyploidy paralog processing Packera historical biogeography

In-depth phenotyping reveals unexpected floral trait variation in Mimulus cardinalis across a range-wide latitudinal gradient

Authors: Neequaye, M., Kennedy, E. B., Gunn, H., Wenzell, K. E., Byers, K. J. R. P.

Date: 2025-10-05 · Version: 1

DOI: 10.1101/2025.10.03.680188

Model Organism: Mimulus cardinalis

Mimulus cardinalis floral trait variation pollinator-mediated selection metabolomics genomic analysis

Candidatus Phytoplasma-induced Retrogressive Morphogenesis in Sesame (Sesamum indicum L.): Tissue-Specific Metabolic and Transcriptomic Reprogramming

Authors: Banerjee, S., Gangopadhyay, G.

Date: 2025-10-01 · Version: 1

DOI: 10.1101/2025.09.29.679221

Model Organism: Sesamum indicum

phytoplasma infection Sesamum indicum metabolomics transcriptomics tissue-specific response

A Multi-lensed Comparative Analysis of Select Secondary Metabolites Produced by Kale, Brassica oleracea, in Simulated Microgravity Versus Gravity Conditions

Authors: Osano, A., Dill, R., Li, Y., Yan, J., Ray, S., Ude, G., Iro, A.

Date: 2025-10-01 · Version: 1

DOI: 10.1101/2025.09.29.679299

Model Organism: Kale (Brassica oleracea var. acephala)

microgravity flavonoids metabolomics 1H NMR HPTLC

From Photoperiod Thresholds to Photoperiod sensitivity: Dual Strategies for Cost-Effective Speed Breeding and Climate-Ready Barley

Authors: Rossi, N., Powell, W., Halliday, K., Sharma, R.

Date: 2025-09-07 · Version: 1

DOI: 10.1101/2025.09.04.674238

Model Organism: Hordeum vulgare

flowering time photoperiod response speed breeding allelic variation barley

Adaptive Strategies of the invasive aquatic plant, Ludwigia grandiflora subps. hexapetala: Contrasting Plasticity Between Aquatic and Terrestrial Morphotypes.

Authors: Genitoni, J., Vassaux, D., RENAULT, D., Maury, S., BARLOY, D. H.

Date: 2025-09-01 · Version: 1

DOI: 10.1101/2025.08.27.672630

Model Organism: Ludwigia grandiflora subsp. hexapetala

phenotypic plasticity Ludwigia grandiflora invasive species metabolomics phytohormones

Stress-dependent responses of grapevine wood and fungal pathogen activity under esca and drought

Authors: Chambard, M., Cantu, D., Bortolami, G., Dell'Acqua, N., Ferrer, N., Gambetta, G., Garcia, J., Gastou, P., Massonnet, M., Moretti, S., Rochepeau, A., Petriacq, P., Foulongne-Oriol, M., Delmas, C. E. L.

Date: 2025-08-07 · Version: 1

DOI: 10.1101/2025.08.05.668645

Model Organism: Vitis vinifera

drought stress esca disease grapevine (Vitis vinifera)wood metatranscriptomics metabolomics

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