Saturday, October 17, 2026

 

No DREAM, No Offspring: Protein complex may play key role in plant fertility



A protein complex known as DREAM that normally puts the brakes on genes may also be crucial for reproduction in plants, according to new research



Institute of Science and Technology Austria

Arabidopsis thaliana (thale cress)

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Arabidopsis thaliana (thale cress) in the pink room at ISTA’s Plant Facility. A protein complex that normally puts the brakes on genes may also be crucial for reproduction in plants, according to new research published in Science Advances.

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Credit: © Nadine Poniconi/ISTA






A protein complex that normally puts the brakes on genes may also be crucial for reproduction in plants, according to new research published in Science Advances. In thale cress, DREAM appears to switch on genes during meiosis that are important for the exchange of genetic material. But when the complex is missing, reproductive development becomes defective and fertility is severely reduced.

During meiosis, chromosomes must be distributed with great precision. This requires genes to be active and proteins to be present at the correct location, time, and concentration. Consequently, the entire process needs to be tightly regulated.

As part of her PhD project at the University of Hamburg, molecular biologist and postdoctoral researcher at the Institute of Science and Technology Austria (ISTA) Hasibe Tunçay investigated which molecular regulators control this process in thale cress (Arabidopsis thaliana, A. thaliana).

Her research has shed new light on the importance of the DREAM complex. Since related DREAM complexes also affect reproduction in animals, the findings may point to an evolutionarily conserved mechanism underlying fertility across many organisms.

The research was carried out in collaboration with the Université Paris-Saclay, Fudan University, and South China Agricultural University.

Not all cell divisions are the same

In sexually reproducing organisms, there are two fundamental types of cell division: mitosis and meiosis.

During mitosis, one cell produces two largely identical daughter cells. This process is important for an organism’s development and growth, as well as for tissue renewal and maintenance.

Meiosis, by contrast, produces reproductive cells with half the usual number of chromosomes. The full chromosome set is restored only upon fertilization.

For meiosis to work, genes need to be switched on at the right time so that they can be transcribed into RNA. This RNA can then serve as the blueprint for proteins needed to carry out the process.

Meiosis may be a textbook classic, but how it is transcriptionally regulated in plants is still not fully understood. The molecular switches behind the process—known as transcription factors—first need to be identified.

That was precisely the task Tunçay set out to tackle, using thale cress as her model organism.

The DREAM complex

Studying gene regulation during meiosis was technically challenging. Meiotic cells are located deep inside the plant’s reproductive tissues and can only be isolated in small quantities.

Despite these limitations, Tunçay and her colleagues were able to identify an important molecular regulator: the DREAM complex.

The DREAM complex is a transcription-factor complex that also exists in humans. In somatic cells—non-reproductive cells that proliferate through mitosis—DREAM usually represses gene expression. For example, it can help stop the cell cycle when errors occur and damage needs to be repaired.

Now, Tunçay’s research shows that DREAM seems to play another role as well.

DREAM wakes up genes

“We studied mutants—plants in which parts of the DREAM complex are missing—and found that pollen and seed production did not function properly,” says Tunçay. “That made it clear to me that DREAM is also important for plant reproduction, apparently by regulating gene expression during meiosis.”

Tunçay identified the gene MER3, which is activated by the DREAM complex. The resulting MER3 protein plays an important role in crossover formation, a process essential for meiosis.

During a crossover, homologous chromosomes—one inherited from the maternal and one from the paternal side—exchange genetic material.

“This mechanism does not just generate genetic diversity,” Tunçay explains. “It also keeps chromosomes physically connected, allowing them to be distributed correctly to daughter cells during the first meiotic division.”

In mutants in which the DREAM complex does not function properly, MER3 is not transcribed sufficiently. As a result, crossover formation is impaired: chromosomes do not remain connected for long enough and instead occur as individual chromosomes.

“These are called univalent chromosomes,” says Tunçay. These can then be distributed incorrectly or randomly among daughter cells, she adds, producing reproductive cells with an unbalanced number of chromosomes—and ultimately leading to fertility problems.

“In some of our mutants where only a single DREAM complex-component was disrupted, seed production was severely reduced, but the plants remained fertile,” Tunçay explains. “In comparison, mutants carrying disruptions in multiple components produced no seed, indicating that they were sterile.”

But what does that mean for the plant?

Plant sex

A. thaliana is a self-fertilising hermaphroditic plant. Both male stamens and the female pistil are found within the same flower. After fertilisation, the ovary develops into a long, slender fruit called a silique, in which the seeds grow.

Whether mutations affect reproduction can be assessed by examining pollen and seeds.

“For example, you can dip the flower into a solution. This releases the pollen grains, which can then be stained and examined under a microscope to determine whether they are viable,” Tunçay says. “You can also open the silique and assess the seeds inside. Undeveloped or aborted seeds indicate sterility and problems with reproduction.”

The findings show that a known regulatory complex can take on an unexpected activating role during plant meiosis. Because related DREAM complexes also influence reproduction in animals, the results suggest that fertility may be regulated by an evolutionarily conserved mechanism across a wide range of organisms.


Growing Arabidopsis thaliana (thale cress). The DREAM complex might play a key role in the plant’s fertility, according to new research published in Science Advances.

Credit

© ISTA


Gene and protein mapping offers clues to sweetpotato root enlargement



Maximum Academic Press
Phylogenetic tree of the NAC gene family.

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Phylogenetic tree of the NAC gene family.

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Credit: Plant Hormones





A research team has mapped a family of plant gene regulators across cultivated sweetpotato and three wild relatives, identifying expression patterns associated with the formation of swollen storage roots or slender “pencil roots.” By combining genome analysis, RNA sequencing, and protein profiling, the researchers highlighted candidate NAC transcription factors and potential hormone signals involved in root development. The findings provide a foundation for investigating how sweetpotato builds its harvestable roots and could eventually support molecular breeding aimed at improving crop yield.

Sweetpotato yield depends on the formation and enlargement of storage roots, a developmental process involving cell division, cell expansion, and changes to cell walls. Previous research has identified genes involved in wall remodeling and starch accumulation, while studies in other crops have established NAC transcription factors as important regulators of growth and stress responses. However, how this gene family contributes to sweetpotato root enlargement remains poorly understood. The crop's complex hexaploid genome further complicates investigation, and wild relatives differ substantially in their capacity to produce swollen roots. Comparing these contrasting plants offers an opportunity to identify regulatory patterns associated with successful storage root development.

A study (DOI: 10.48130/ph-0026-0022) published in Plant Hormones on 29 September 2026 by Ming Li's & Wei Jian's team, Chongqing Normal University, identifies conserved NAC gene families alongside contrasting expression patterns and hormone-responsive promoter elements that suggest candidate mechanisms underlying differences in root swelling.

The researchers compared diploid Ipomoea trifida Y22, wild tetraploid I. batatas Y428B, wild hexaploid I. batatas Y601, and the cultivated variety Nancy Hall. They screened genome-derived protein sequences using sequence similarity searches, NAC-domain models, and conserved-domain verification, then analyzed evolutionary relationships, protein motifs, chromosome locations, and corresponding genomic regions. This workflow identified 134, 142, 132, and 126 NAC genes, respectively: 534 genes in total, grouped into 19 subfamilies and distributed unevenly across 15 chromosomes in each genome. Comparative analysis revealed 292 collinear gene pairs, demonstrating extensive conservation across the four materials. To examine developmental activity, the team collected roots at four stages, from adventitious roots to mature storage roots, with three biological replicates per sampling point. Y428B, which produces pencil roots rather than swollen storage roots, was sampled at matching time points. RNA sequencing revealed that many NAC genes in the three storage-root-forming materials increased their expression as roots developed. In Y428B, most instead showed high early expression followed by a sharp decline, with few displaying sustained increases. The team then used four-dimensional data-independent acquisition proteomics to examine mature-stage roots, detecting 15 NAC proteins across the materials, with three to five detected in each. This limited detection contrasted with the broader transcript profiles, indicating that RNA abundance alone does not fully describe NAC protein accumulation. Iba4xNAC028 was especially abundant in Y428B, while the related proteins Ibw6xNAC022 and Itr2xNAC069 were prominent in wild materials with weaker swelling than Nancy Hall. These associations identify candidates for testing, rather than establish their functions. Finally, analysis of 2,000-base-pair promoter regions for the 15 protein-detected genes found widespread hormone-responsive elements. Sites associated with abscisic acid and methyl jasmonate were most prevalent, while gibberellin-responsive elements were also common, suggesting possible connections between hormone signaling, developmental regulation, and stress responses during root enlargement that merit further experimental investigation.

Together, the findings provide a comparative resource for exploring sweetpotato storage root development. They suggest that differences in when NAC genes become active, which proteins accumulate, and how genes respond to hormonal signals may help explain contrasting root forms. Future hormone-treatment experiments and genetic validation will be needed to determine whether these candidates can be used to improve storage root growth and yield.

###

References

DOI

10.48130/ph-0026-0022

Original Source URL

https://doi.org/10.48130/ph-0026-0022

Funding information

This work was supported by the College Students' Innovation Training Program of Chongqing (No. S202510637033) and the Chongqing Normal University Foundation (No. 23XLB033).

About Plant Hormones

Plant Hormones (e-ISSN 3067-221X) is an open access, online-only, academic journal publishing rigorously peer-reviewed original articles, reviews, break-through methods, editorials, and perspectives on broad aspects of plant hormone biosynthesis, signal transduction, and crosstalk. The journal primarily publishes fundamental research that represents significant advances or new insight into specialized areas of plant hormones, and review articles that provide comprehensive and critical review of current research areas and offer directions or perspectives for future research. The journal publishes applied research that has significant implications for the development of agriculture, horticulture, and forestry. Plant Hormones also provides a community forum by publishing editorials and perspective papers for expressing opinions on specific issues or new perspectives about existing research on particular topics. Plant Hormones is hosted by Chongqing University, and published by Maximum Academic Press.

 

Climate change affects the quality of one of the world’s most important staple foods



Higher CO₂ levels alter the protein composition of wheat



Leibniz-Institut für Lebensmittel-Systembiologie an der TU München

Various field trial plots; image source

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The photo shows various small experimental fields of grain that is still green. Wheat plants can be seen in the foreground. Further back, experimental fields with other types of grain are also visible. In the far background, trees line an avenue beneath a light blue sky with a few white clouds. 

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Credit: Dr. Sabrina Geisslitz






Depending on the cultivar, higher concentrations of carbon dioxide (CO₂) in the atmosphere can significantly alter the protein composition of wheat. This affects not only baking quality but potentially also the tolerability of wheat products. This is the conclusion of a new study led by the Leibniz Institute for Food Systems Biology at the Technical University of Munich. According to the study, the adaptation of crops to climate change should in the future focus not only on high yields but also on quality characteristics such as protein composition.

As a result of climate change, the global CO₂ concentration in the atmosphere has risen from around 340 ppm in 1980 to about 425 ppm in 2024. Depending on future socioeconomic developments, it could rise to around 600 ppm by 2050. Wheat, one of the world’s most important staple foods, will also grow under significantly higher CO₂ concentrations in the future.

So far, there have been only a few field trials

To date, however, only a few field trials have investigated how elevated CO₂ concentrations affect the protein composition of wheat. To fill this knowledge gap, the interdisciplinary team of researchers cultivated ten winter wheat cultivars under realistic growing and environmental conditions. They exposed some of the plants to an elevated CO₂ concentration (eCO₂, 546 ppm). The other plants grew under current CO₂ conditions.

After harvest, the researchers analyzed the composition of wheat proteins in the various grain samples using a high-resolution mass spectrometric method they had developed themselves. They focused on proteins such as amylase/trypsin-inhibitors, puroindolines, and gluten proteins, as well as celiac disease-active peptides.

Changes in Protein Composition with Consequences

In general, the content of amylase/trypsin-inhibitors increased under elevated CO₂ conditions. In contrast, the concentrations of puroindolines, gluten proteins, and certain celiac disease-active peptides—which may be produced from gluten proteins during digestion—decreased. “However, the extent of these changes depended largely on the specific wheat cultivar,” says Sabrina Geisslitz, principal investigator and research associate in Katharina Scherf’s research group at the Leibniz Institute. “Our results also showed that the reduced concentration of gluten proteins was associated with poorer baking quality,” the scientist added.

Katharina Scherf, head of the Food Biopolymer Chemistry research group at the Leibniz Institute and professor of Food Biopolymer Systems at the TUM School of Life Sciences, adds: “The observed changes in amylase/trypsin-inhibitors and certain celiac disease-active peptides could also be relevant in the long term for wheat-related diseases. However, further studies are needed to clarify the actual biological and immunological significance of these differences.”

The study results underscore how important it is to identify and breed wheat cultivars that maintain high baking quality even under rising CO₂ concentrations while containing as few potentially intolerable proteins as possible.

In addition to researchers from the Leibniz Institute, the interdisciplinary team included scientists from the Karlsruhe Institute of Technology, the Bavarian State Research Center for Agriculture, and the Forschungszentrum Jülich.

Publication: Geisslitz S, Kaemper C, Norwig MC, Fechner A, Knopf O, Muller O, Geyer M, Hartl L, Scherf KA. Elevated CO₂ induces cultivar-dependent changes in wheat proteins linked to wheat-related disorders and baking quality. Food Chem. September 20, 2026;530:151161. doi: 10.1016/j.foodchem.2026.151161. https://doi.org/10.1016/j.foodchem.2026.151161

Funding: The project was funded by the Federal Ministry of Agriculture, Food, and Regional Identity (BMLEH) based on a resolution of the Bundestag of the Federal Republic of Germany through the Federal Office for Agriculture and Food (BLE) as part of the Innovation Promotion Program. Project number 2818404B18 (BigBaking). Co-funded by the European Union (ERC, GLUTENOMICS, 101040437). Views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the funding agency can be held responsible for this. Open-access funding was made possible and organized by the DEAL project.

More Information:

The ten winter wheat cultivars studied:
The ten winter wheat cultivars studied included Apostel, Asory, Campesino, Foxx, Hyvega, Informer, KWS Emerick, LG Initial, Moschus, and RGT Reform. The Hyvega cultivar exhibited a distinctive characteristic: under elevated CO₂ conditions (eCO₂), its protein content in the grain increased by 2.7 percent. In contrast, the protein content of the remaining nine cultivars decreased by 1.9 to 10.3 percent.

The evaluation of all analyses also revealed significant differences among the cultivars. Asory, Campesino, LG Initial, and Moschus reacted sensitively to the elevated CO₂ concentration across all parameters examined. Apostel and KWS Emerick, on the other hand, proved to be comparatively tolerant.

Functional properties of wheat proteins:
Amylase/trypsin-inhibitors serve as the plant’s natural defense against herbivores. However, they are also suspected of triggering allergies and contributing to non-celiac wheat sensitivity. Puroindolines significantly determine the hardness of wheat kernels and thus affect the processing and baking properties of the flour. Gluten proteins are crucial for baking quality but also play a role in conditions such as celiac disease. The reason: They contain specific amino acid sequences that, during digestion, are broken down enzymatically in the gastrointestinal tract to form celiac disease-active peptides. These peptides can trigger an immune response in people with a genetic predisposition to the condition. Peptides are short chains consisting of 2 to 50 amino acids. If the chains are longer than 50 amino acids, they are referred to as proteins.

Celiac disease is a chronic disorder of the small intestine. Gluten intolerance is the main trigger of the disease, which occurs in individuals with a genetic predisposition. It is not yet fully understood which other factors, aside from genetic predisposition, contribute to the development of the disease.

Contacts:
Expert Contact:

Dr. Sabrina Geisslitz
Food Biopolymer Chemistry Research Group
Leibniz Institute for Food Systems Biology
at the Technical University of Munich (Leibniz-LSB@TUM)
Lise-Meitner-Str. 34
85354 Freising
Phone: +49 8161 71-2975
Email: s.geisslitz.leibniz-lsb(at)tum.de
Profile: https://www.leibniz-lsb.de/en/institute/staff/profile-dr-sabrina-geisslitz

Press Contact at Leibniz-LSB@TUM:

Dr. Gisela Olias
Knowledge Transfer, Press and Public Relations
Phone: +49 8161 71-2980
Email: g.olias.leibniz-lsb@tum.de
https://www.leibniz-lsb.de

Information About the Institute:

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) comprises a unique research profile at the interface of Food Chemistry & Biology, Chemosensors & Technology, and Bioinformatics & Machine Learning. As this profile has grown far beyond the previous core discipline of classical food chemistry, the Institute spearheads the development of a food systems biology. Its aim is to develop new approaches for the sustainable production of sufficient quantities of food whose biologically active effector molecule profiles are geared to health and nutritional needs, but also to the sensory preferences of consumers. To do so, the Institute explores the complex networks of sensorically relevant effector molecules along the entire food production chain with a focus on making their effects systemically understandable and predictable in the long term.

A Member of the Leibniz Associatation

The Leibniz-LSB@TUM is a member of the Leibniz Association, which connects 96 independent research institutions. Their orientation ranges from the natural sciences, engineering and environmental sciences through economics, spatial and social sciences to the humanities. Leibniz Institutes address issues of social, economic and ecological relevance.They conduct basic and applied research, including in the interdisciplinary Leibniz Research Alliances, maintain scientific infrastructure, and provide research-based services. The Leibniz Association identifies focus areas for knowledge transfer, particularly with the Leibniz research museums. It advises and informs policymakers, science, industry and the general public.

Leibniz institutions collaborate intensively with universities – including in the form of Leibniz ScienceCampi – as well as with industry and other partners at home and abroad. They are subject to a transparent, independent evaluation procedure. Because of their importance for the country as a whole, the Leibniz Association Institutes are funded jointly by Germany’s central and regional governments. The Leibniz Institutes employ around 21,400 people, including 12,200 researchers. The financial volume amounts to 2,3 billion euros.

Note on the use of AI

The press release was first translated from German into American English using DeepL Pro. The press officer and researchers then reviewed the text, making corrections where necessary to ensure it was both factually and linguistically accurate.

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Researchers advance aquifer mapping using remote sensing and statistical models to improve groundwater management



University of Texas at Austin
Conceptual visualization of poroelasticity-based Bayesian inversion framework

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A conceptual figure from the study showing how researchers used InSAR deformation data to create a permeability map of the aquifer after about 6 months of groundwater pumping. The bottom layer is InSAR deformation data from remote sensing satellites laid over Google Earth images of the aquifer site. The middle layer is the inferred permeability map created using the Bayesian inversion framework. The top layer shows a view of vertical deformation experienced in the aquifer based on the permeability map, with peaks exaggerated to highlight changes.

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Credit: Alghamdi et al






Groundwater in many areas of the U.S. and across the globe is being depleted as pumping for drinking water and agriculture outpace nature’s ability to refill aquifers. In the most severe cases this could lead to a point of no return, where an aquifer’s physical structure collapses and it cannot be refilled.

But a new method of mapping aquifers could provide a better tool for managing them.

In a recent study published in Geophysical Research Letters, researchers at The University of Texas at Austin used remote sensing data and statistical methods to map a municipal aquifer in Nevada. Their goal is to create a lower-cost method to measure an aquifer’s permeability, how easily water flows through rock, that could aid groundwater management.

“We think this is a really promising technique for aquifer characterization and management that could be tremendously useful and essentially free,” said co-author Marc Hesse, a professor in the Department of Earth and Planetary Sciences at UT’s Jackson School of Geosciences and affiliated faculty member at UT’s Oden Institute for Computational Engineering and Sciences.

When water is pumped out of an aquifer it changes the pressure underground, which can cause the ground overlaying an aquifer to sink subtly, a few millimeters to a few centimeters over months. The study’s lead author Amal Alghamdi, who conducted the research while earning a doctorate at the Oden Institute, said that this sinking contains information about the subsurface geology of the aquifer.

“The exciting question was how much we could work backward from that surface response to learn about what we cannot directly see underground,” said Alghamdi, who is now an assistant professor at King Fahd University of Petroleum & Minerals.

Ground subsidence can be measured in different ways. In the study, the researchers used publicly available InSAR satellite data and a statistical method based on a Bayesian inference algorithm developed by co-author Professor Omar Ghattas’ research group at the Oden Institute. They used the information to create a 3D model of how water is likely to flow and spread laterally in the aquifer. By using freely available satellite observations they mapped a range of possible permeability fields.

The Jackson School research builds on a study conducted by a different research group that calculated the overall hydraulic conductivity of the same Nevada aquifer using subsidence data from GPS monitors. While that research offered a single overall reading of the aquifer’s hydraulic conductivity, a measure that’s related to permeability, the spatial variations in the Jackson School’s maps provide a more detailed view of how permeability changes in different places across the aquifer.

Understanding permeability gives water managers insight into how the water is flowing underground and can help them sustainably manage an aquifer.

These maps highlighted variations in permeability throughout the aquifer, including revealing a high permeability channel on the southern end of the aquifer and an area of low permeability that previous research has hypothesized as a geologic fault.

In addition, the research also compared permeability maps generated using GPS data from the earlier study, InSAR data, and a combination of the two. They found that high resolution data from a single InSAR map provided more detailed and accurate information than multiple GPS readings over time, at least at this location.

Last year, NASA launched the new NISAR satellite with the Indian Space Research Organization to monitor Earth’s land and water processes, including vegetation change, sea level variation and groundwater movement. Co-author Jingyi “Ann” Chen, associate professor at UT’s Department of Aerospace Engineering and Engineering Mechanics, said that this data can be used to track subsidence due to aquifer pumping and make inferences about permeability and potentially other characteristics of the ground below.

“It’s exciting because that NISAR satellite operates at a short 12-day repeat cycle and longer wavelengths that can peer through plant cover,” Chen said. “This allows us to retrieve deformation measurements with greatly improved quality over agricultural basins that rely heavily on groundwater pumping.”