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Record W4414622444 · doi:10.3389/fgene.2025.1694599

Editorial: Genetic dissection and improvement of crop quality and stress adaptation

2025· editorial· en· W4414622444 on OpenAlexaboutno aff
Liwei Zheng, Songwen Zhang, Yingpeng Hua

Bibliographic record

VenueFrontiers in Genetics · 2025
Typeeditorial
Languageen
FieldAgricultural and Biological Sciences
TopicPeanut Plant Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolyploidGenomicsDomesticationArabidopsisQuantitative trait locusGeneTraitHousekeeping genePlant breeding

Abstract

fetched live from OpenAlex

From Descriptive Genomics to Predictive Breeding Across the studies, a common theme emerges: the transition from descriptive catalogues of genes to predictive frameworks that accelerate breeding cycles. In peanut, pangenome analyses and high-throughput phenotyping platforms are being integrated to untangle the polygenic nature of drought tolerance (Pokhrel et al.,2024). Likewise, the dissection of the EPF/EPFL gene family in poplar demonstrates how comparative genomics—anchored by Arabidopsis orthologues—can rapidly identify regulators of stomatal density and, by extension, water-use efficiency (Liu et al.,2024). These efforts mirror the PAO-family characterization in pear (Ma et al.,2024), where evolutionary analyses, cis-element profiling, and expression atlases converge to nominate candidate genes for fruit hardening and drought resilience. Collectively, these papers underscore a critical inflection point: we are no longer constrained by the linear "gene-to-trait" paradigm. Instead, we can now leverage multidimensional data—genomic, transcriptomic, epigenomic, metabolomic, and phenomic—to build machine-learning models that predict phenotype from genotype and environment. The wheat study by Sun et al., (2025) exemplifies this synergy. By coupling morphological and ultrastructural phenotyping (root hairs, chloroplast integrity) with expression profiling of ROS-scavenging and stress-responsive genes, the authors identify diagnostic markers that distinguish salt-tolerant cultivars from sensitive ones. Such integrative approaches should become the norm, not the exception. Polyploid Complexity as Opportunity, Not Obstacle Polyploidy—once viewed as a barrier to genetic dissection—is now recognized as a reservoir of adaptive potential. The review by Sakthivel et al. (2025) on vegetatively propagated crops (potato, strawberry, banana, sugarcane) reframes polyploid complexity as an opportunity for "genomic stacking" of favorable alleles. Modern genome-editing platforms, particularly CRISPR/Cas systems, can now target multiple homologous loci simultaneously, enabling trait fine-tuning without the meiotic instability inherent in traditional breeding. Conventional introgression of late-blight resistance from wild potato species into tetraploid cultivars requires decades of backcrossing to restore tuber quality. In contrast, CRISPR-mediated multiplex editing of susceptibility genes such as StDMR6-1 (Kieu et al.,2021) or StNRL1 (Nourozi et al.,2023) achieves durable resistance in a single transformation cycle. Similarly, sugarcane—an aneuploid with 8–14 copies of each gene—has seen rapid progress through transgenic overexpression of EaDREB2 or ShGPCR1 (Ramasamy et al.,2021), as well as CRISPR editing of SoLIM to reduce lignin for bioethanol production (Laksana et al.,2024). These successes illustrate that high ploidy need not impede precision improvement; rather, it offers multiple genetic "entry points" for trait enhancement. From Single-Gene Fixes to Network Engineering Early transgenic crops relied on single-gene interventions—Bacillus thuringiensis (Bt) toxins for insect resistance or 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) for herbicide tolerance. The current wave of research, however, embraces network-level engineering. In banana, stacking RGA2 and Ced9 confers resistance to Fusarium wilt tropical race 4 (Dale et al.,2017), while simultaneous editing of endogenous banana streak virus (eBSV) loci eliminates endogenous viral sequences (Tripathi et al.,2021). In peanut, pyramiding transcription factors (DREB1A, NAC4, WRKY3) enhances drought tolerance through synergistic modulation of root architecture, osmolyte accumulation, and antioxidant capacity (Pruthvi et al.,2014;Venkatesh et al.,2022). Such "trait stacking" must be guided by systems biology. The poplar study (Liu et al.,2024) illustrates how EPF/EPFL peptides integrate hormonal (ABA, auxin) and environmental (drought) cues to fine-tune stomatal patterning. Future work should map these regulatory circuits across species, identifying "hub genes" whose manipulation yields pleiotropic benefits. CRISPR base editors and prime editors—capable of precise nucleotide substitutions—will be instrumental in rewiring such networks without disrupting beneficial allelic diversity. Democratizing Technology Through Genotype-Independent Platforms A persistent bottleneck in clonally propagated crops is genotype-dependent transformation. Sakthivel et al. (2025) highlights how transient ribonucleoprotein (RNP) delivery of CRISPR/Cas complexes can bypass this limitation, yielding transgene-free edits that are more acceptable to regulators and consumers. Such "DNA-free" editing has already been demonstrated in potato (Gonzalez et al.,2019) and strawberry (Gao et al.,2020), and its extension to banana and sugarcane will accelerate cultivar improvement in the Global South, where these crops underpin food security and livelihoods. Equally important is the development of open-source guide-RNA libraries and multiplexed editing protocols. The wheat study (Sun et al.,2025) exemplifies how publicly available transcriptomic datasets can be mined to prioritize candidate genes (TaSOD1, TaDREB3, and TaWRKY19). Global consortia— modeled after the International Wheat Genome Sequencing Consortium—should curate analogous resources for under-studied polyploids such as yam, taro, and sweet potato. Navigating Regulatory and Societal Landscapes Technical breakthroughs must be coupled with transparent regulatory frameworks. The Sakthivel et al. (2025) review delineates the divergent global policies on genome-edited crops, contrasting product-based (USA, Canada) and process-based (EU, India) approaches. As SDN-1 and SDN-2 products (transgene-free) gain regulatory exemptions, breeders can deploy edited cultivars without the protracted timelines associated with GMO approval. However, consumer acceptance remains nuanced. Surveys cited in the review reveal that labeling transparency and tangible benefits (e.g., low acrylamide potatoes, provitamin A bananas) significantly sway public opinion. Meaningful stakeholder engagement— particularly with farmers and indigenous communities—will be essential for equitable technology deployment. Conclusion The convergence of genomics, phenomics, and genome editing has placed us on the cusp of a new agricultural era. The studies in this issue demonstrate that we can now dissect and re-engineer the genetic underpinnings of complex traits—drought tolerance, disease resistance, fruit quality—in species once deemed intractable. Yet technology alone will not suffice. Success will hinge on equitable access, transparent governance, and sustained investment in both basic science and on-the-ground implementation. If we rise to this challenge, the crops profiled here—peanut, pear, poplar, wheat, and their polyploid kin—will not merely survive climate change; they will thrive, nourishing a resilient and food-secure world.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.001
Science and technology studies0.0020.003
Scholarly communication0.0050.005
Open science0.0040.001
Research integrity0.0120.016
Insufficient payload (model declined to judge)0.0230.015

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.275
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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