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Jianquan Liu

Publications and source records attributed to Jianquan Liu.

4 recordsLinked to original sources

Stepwise allelic trajectory of ETP2 underlies trade-off between UVB tolerance and submergence adaptation in Arabidopsis thaliana.

Strong UVB radiation critically restricts plant growth, yield, and distribution, while mechanisms enabling adaptation to intense UVB remain unclear. Here, we uncover that the F-box ubiquitin E3 ligase UVBT1 (also known as ETP2) is indispensable for UVB tolerance in A. thaliana. In the high-altitude Tibet accession, a distinctive 166-bp deletion in ETP2 promoter leads to the complete absence of the W-box element, thereby eliminating WRKY36-mediated transcriptional repression. This results in elevated ETP2 levels, which degrade EIN2 and activate the protective anthocyanin/flavonoid pathway. Conversely, in low-altitude accessions, which are often exposed to lower UVB and higher precipitation conditions, WRKY36-mediated repression of ETP2 stabilizes EIN2 and WRKY22, endowing the plants with submergence tolerance. Notably, aside from the Tibet-accession-specific 166-bp deletion, the geographical distribution of the promoter allelic shift from C to G near the ETP2 W-box within the 166-bp region is tightly associated with UVB radiation with increasing altitudes for the other global accessions. This allelic change also enhances WRKY36-mediated repression of ETP2, suggesting an additional stepwise adaptation process. This work thus defines the WRKY36-ETP2-EIN2/WRKY22 module as a key regulator of UVB tolerance and submergence adaptation, potentially enabling A. thaliana to adapt to environments with varying UVB and precipitation conditions.

Arabidopsis

Detecting Introgression in Shallow Phylogenies: How Minor Molecular Clock Deviations Lead to Major Inference Errors.

Recent theoretical and algorithmic advances in introgression detection, coupled with the growing availability of genome-scale data, have highlighted the widespread occurrence of interspecific gene flow across the tree of life. However, current methods largely depend on the molecular clock assumption-a questionable premise given empirical evidence of substitution rate variation across lineages. While such rate heterogeneity is known to compromise gene flow detection among divergent lineages, its impact on closely related taxa at shallow evolutionary timescales remains poorly understood, likely because these taxa are often assumed to adhere to a molecular clock. To address this gap, we combine theoretical analyses and simulations to evaluate the robustness of widely used site pattern methods (D-statistic and HyDe) to rate variation across phylogenetic timescales. Our results demonstrate that both methods exhibit high sensitivity to even minor deviations from the molecular clock at shallow timescales, complementing previous findings at deeper scales. Specifically, in young phylogenies (with an age of 3 × 105 generations) with small population sizes, weak (17% difference) and moderate (33% difference) rate variation can inflate false-positive rates up to 35% and 100%, respectively, using site pattern counts from a 500 Mb genome. Employing a more distant outgroup intensifies these spurious signals. Our study demonstrates that summary tests for introgression are pervasively vulnerable to minor rate variations and underscores the critical need for advanced methodologies to disentangle genuine introgression from false signals generated by rate heterogeneity.

Phylogeny

Aplf/Dna2 variants drive chromosomal fission and accelerate speciation in zokors.

Chromosomal fissions and fusions are common, yet the molecular mechanisms and implications in speciation remain poorly understood. Here, we confirm a fission event in one zokor species through multiple-omics and functional analyses. We traced this event to a mutation in a splicing enhancer of the DNA repair gene Aplf in the fission-bearing species, which caused exon skipping and produced a truncated protein that disrupted DNA repair. An intronic deletion in Dna2, known to facilitate neo-telomere formation when knocked out, reduced gene activity. These variants collectively drove chromosomal fission in this zokor species. The newly formed chromosome became fixed due to carrying essential genes and strong selective pressure. While geographic isolation likely initiated the divergence of this species and the sister one, the fission event and associated decline at the chromosome level in gene flow probably exacerbated the speciation process. Our work elucidates the genetic basis of chromosomal fission and underscores its role in speciation dynamics.

Multiomics

Evolutionary Genomics Unravels the Responses and Adaptation to Climate Change in a Key Alpine Forest Tree Species.

Despite widespread biodiversity loss, our understanding of how species and populations will respond to accelerated climate change remains limited. In this study, we integrate population genomics, experimental evolution, and environmental modeling to elucidate the evolutionary responses to climate change in Populus lasiocarpa, a key alpine forest tree species primarily distributed in the mountainous regions of a global biodiversity hotspot. Over historical timescales, our findings demonstrate that demographic dynamics, divergent selection, and long-term balancing selection have shaped and maintained genetic variation within and between populations. In examining genomic signatures of contemporary climate adaptation, we found that haplotype blocks, potentially caused by inversion polymorphisms that suppress recombination, are linked to enriched combinations of locally adaptive environmental variations. We further assessed the relative contributions of environmentally induced plastic responses, constitutive expression divergence between genetic clusters, and their interactions in driving gene expression variation and divergence. Notably, we observed a strong correlation between sequence divergence and constitutive differential expression among genetic clusters. Finally, by incorporating genetic adaptation, migration, and genetic load into our predictions of population-level climate change risks, we identified western populations-primarily distributed in the Hengduan Mountains, a region known for its environmental heterogeneity and significant biodiversity-as the most vulnerable to climate change. These populations should be prioritized for conservation and management. Overall, our study advances the understanding of the relative roles of long-term natural selection, local environmental adaptation, and immediate plastic expression changes in shaping the responses of natural populations of keystone species to climate change.

Climate Change