9.9
CiteScore
7.1
Impact Factor

2025 Vol. 52, No. 6

Review
Unravelling sorghum functional genomics and molecular breeding: past achievements and future prospects
Fangyuan Liu, Baye Wodajo, Kangxu Zhao, Sanyuan Tang, Qi Xie, Peng Xie
2025, 52(6): 719-732. doi: 10.1016/j.jgg.2024.07.016
Abstract:
Sorghum, renowned for its substantial biomass production and remarkable tolerance to various stresses, possesses extensive gene resources and phenotypic variations. A comprehensive understanding of the genetic basis underlying complex agronomic traits is essential for unlocking the potential of sorghum in addressing food and feed security and utilizing marginal lands. In this context, we provide an overview of the major trends in genomic resource studies focusing on key agronomic traits over the past decade, accompanied by a summary of functional genomic platforms. We also delve into the molecular functions and regulatory networks of impactful genes for important agricultural traits. Lastly, we discuss and synthesize the current challenges and prospects for advancing molecular design breeding by gene-editing and polymerization of the excellent alleles, with the aim of accelerating the development of desired sorghum varieties.
Original Research
Genome-wide profiling of polymorphic short tandem repeats and their influence on gene expression and trait variation in diverse rice populations
Xiyu Tan, Wanyong Zeng, Yujian Yang, Zhansheng Lin, Fuquan Li, Jianhong Liu, Shaotong Chen, Yao-Guang Liu, Weibo Xie, Xianrong Xie
2025, 52(6): 733-746. doi: 10.1016/j.jgg.2025.03.005
Abstract:
Short tandem repeats (STRs) modulate gene expression and contribute to trait variation. However, a systematic evaluation of the genomic characteristics of STRs has not been conducted, and their influence on gene expression in rice remains unclear. Here, we construct a map of 137,629 polymorphic STRs in the rice (Oryza sativa L.) genome using a population-scale resequencing dataset. A genome-wide survey encompassing 4726 accessions shows that the occurrence frequency, mutational patterns, chromosomal distribution, and functional properties of STRs are correlated with the sequences and lengths of repeat motifs. Leveraging a transcriptome dataset from 127 rice accessions, we identify 44,672 expression STRs (eSTRs) by modeling gene expression in response to the length variation of STRs. These eSTRs are notably enriched in the regulatory regions of genes with active transcriptional signatures. Population analysis identifies numerous STRs that have undergone genetic divergence among different rice groups and 1726 tagged STRs that may be associated with agronomic traits. By editing the (ACT)7 STR in OsFD1 promoter, we further experimentally validate its role in regulating gene expression and phenotype. Our study highlights the contribution of STRs to transcriptional regulation in plants and establishes the foundation for their potential use as alternative targets for genetic improvement.
Genetic interaction network of quantitative trait genes for heading date in rice
Mengjiao Chen, Yifeng Hong, Jiongjiong Fan, Dengyi Cao, Chong Yin, Anjie Yu, Jie Qiu, Xuehui Huang, Xin Wei
2025, 52(6): 747-760. doi: 10.1016/j.jgg.2024.12.019
Abstract:
Several quantitative trait genes (QTGs) related to rice heading date, a key factor for crop development and yield, have been identified, along with complex interactions among genes. However, a comprehensive genetic interaction network for these QTGs has not yet been established. In this study, we use 18K-rice lines to identify QTGs and their epistatic interactions affecting rice heading date. We identify 264 pairs of interacting quantitative trait loci (QTL) and construct a comprehensive genetic network of these QTL. On average, the epistatic effects of QTL pairs are estimated to be approximately 12.5% of additive effects of identified QTL. Importantly, epistasis varies among different alleles of several heading date genes. Additionally, 57 pairs of interacting QTGs are also significant in their epistatic effects on 12 other agronomic traits. The identified QTL genetic interactions are further validated using near-isogenic lines, yeast two-hybrid, and split-luciferase complementation assays. Overall, this study provides a genetic network of rice heading date genes, which plays a crucial role in regulating rice heading date and influencing multiple related agronomic traits. This network serves as a foundation for understanding the genetic mechanisms of rice quantitative traits and for advancing rice molecular breeding.
Ancestral genome reconstruction and the evolution of chromosomal rearrangements in Triticeae
Xueqing Yan, Runxian Yu, Jinpeng Wang, Yuannian Jiao
2025, 52(6): 761-773. doi: 10.1016/j.jgg.2024.12.017
Abstract:
Chromosomal rearrangements (CRs) often cause phenotypic variations. Although several major rearrangements have been identified in Triticeae, a comprehensive study of the order, timing, and breakpoints of CRs has not been conducted. Here, we reconstruct high-quality ancestral genomes for the most recent common ancestor (MRCA) of the Triticeae, and the MRCA of the wheat lineage (Triticum and Aegilops). The protogenes of MRCA of the Triticeae and the wheat lineage are 22,894 and 29,060, respectively, which were arranged in their ancestral order. By partitioning modern Triticeae chromosomes into sets of syntenic regions and linking each to the corresponding protochromosomes, we revisit the rye chromosome structural evolution and propose alternative evolutionary routes. The previously identified 4L/5L reciprocal translocation in rye and Triticum urartu is found to have occurred independently and is unlikely to be the result of chromosomal introgression following distant hybridization. We also clarify that the 4AL/7BS translocation in tetraploid wheat was a bidirectional rather than unidirectional translocation event. Lastly, we identify several breakpoints in protochromosomes that independently reoccur following Triticeae evolution, representing potential CR hotspots. This study demonstrates that these reconstructed ancestral genomes can serve as special comparative references and facilitate a better understanding of the evolution of structural rearrangements in Triticeae.
Structural variation-based and gene-based pangenome construction reveals untapped diversity of hexaploid wheat
Hong Cheng, Lingpeng Kong, Kun Zhu, Hang Zhao, Xiuli Li, Yanwen Zhang, Weidong Ning, Mei Jiang, Bo Song, Shifeng Cheng
2025, 52(6): 774-785. doi: 10.1016/j.jgg.2025.03.015
Abstract:
Increasing number of structural variations (SVs) have been identified as causative mutations for diverse agronomic traits. However, the systematic exploration of SVs quantity, distribution, and contribution in wheat was lacking. Here, we report high-quality gene-based and SV-based pangenomes comprising 22 hexaploid wheat assemblies showing a wide range of chromosome size, gene number, and TE component, which indicates their representativeness of wheat genetic diversity. Pan-gene analyses uncover 140,261 distinct gene families, of which only 23.2 % are shared in all accessions. Moreover, we build a ∼16.15 Gb graph pangenome containing 695,897 bubbles, intersecting 5132 genes and 230,307 cis-regulatory regions. Pairwise genome comparisons identify ∼1,978,221 non-redundant SVs and 497 SV hotspots. Notably, the density of bubbles as well as SVs show remarkable aggregation in centromeres, which probably play an important role in chromosome plasticity and stability. As for functional SVs exploration, we identify 2769 SVs with absolute relative frequency differences exceeding 0.7 between spring and winter growth habit groups. Additionally, several reported functional genes in wheat display complex structural graphs, for example, PPD-A1, VRT-A2, and TaNAAT2-A. These findings deepen our understanding of wheat genetic diversity, providing valuable graphical pangenome and variation resources to improve the efficiency of genome-wide association mapping in wheat.
Tensor decomposition reveals trans-regulated gene modules in maize drought response
Jiawen Lu, Yuxin Xie, Chunhui Li, Jinliang Yang, Junjie Fu
2025, 52(6): 786-798. doi: 10.1016/j.jgg.2024.10.011
Abstract:
When plants respond to drought stress, dynamic cellular changes occur, accompanied by alterations in gene expression, which often act through trans-regulation. However, the detection of trans-acting genetic variants and networks of genes is challenged by the large number of genes and markers. Using a tensor decomposition method, we identify trans-acting expression quantitative trait loci (trans-eQTLs) linked to gene modules, rather than individual genes, which were associated with maize drought response. Module-to-trait association analysis demonstrates that half of the modules are relevant to drought-related traits. Genome-wide association studies of the expression patterns of each module identify 286 trans-eQTLs linked to drought-responsive modules, the majority of which cannot be detected based on individual gene expression. Notably, the trans-eQTLs located in the regions selected during maize improvement tend towards relatively strong selection. We further prioritize the genes that affect the transcriptional regulation of multiple genes in trans, as exemplified by two transcription factor genes. Our analyses highlight that multidimensional reduction could facilitate the identification of trans-acting variations in gene expression in response to dynamic environments and serve as a promising technique for high-order data processing in future crop breeding.
Phenotypic advantages and improved genomic stability following selection in advanced selfing-generations of Brassica allohexaploids
Yan Niu, Rui Yang, Zelong Li, Zhengxuan Huo, Shihao Chang, Entang Tian, Han Qin, Wallace A. Cowling, Kadambot H. M. Siddique, Annaliese S. Mason, Sheng Chen, Jun Zou
2025, 52(6): 799-811. doi: 10.1016/j.jgg.2025.03.004
Abstract:
Allopolyploids often exhibit advantages in vigor and adaptability compared to diploids. A long-term goal in the economically important Brassica genus has been to develop a new allohexaploid crop type (AABBCC) by combining different diploid and allotetraploid crop species. However, early-generation allohexaploids often face challenges like unstable meiosis and low fertility, and the phenotypic performance of these synthetic lines has rarely been assessed. This study analyzes agronomic traits, fertility, and genome stability in ArArBcBcCcCc lines derived from four crosses between B. carinata and B. rapa after 9–11 selfing generations. Our results demonstrate polyploid advantage in vigor and seed traits, considerable phenotypic variation, and high fertility and genome stability. Meanwhile, parental genotypes significantly influence outcomes in advanced allohexaploids. Structural variants, largely resulting from A–C homoeologous exchanges, contribute to genomic variation and influence hexaploid genome stability, with the A sub-genome showing the highest variability. Both positive and negative impacts of SVs on fertility and seed weight are observed. Pseudo-euploids, frequently appearing, do not significantly affect fertility or other agronomic traits compared to euploids, indicating a potential pathway toward a stable allohexaploid species. These findings provide insights into the challenge and potential for developing an adaptable and stable Brassica hexaploid through selection.
High-quality genome of Firmiana hainanensis provides insights into the evolution of Malvaceae subfamilies and the mechanism of their wood density formation
Zeyu Dong, Shangkun Jin, Rui Fan, Pengcheng Sun, Lei Shao, Ting Zhao, Haojie Jiang, Zhiyuan Zhang, Haihong Shang, Xueying Guan, Yan Hu, Tianzhen Zhang, Fuyuan Zhu, Lei Fang
2025, 52(6): 812-825. doi: 10.1016/j.jgg.2024.12.009
Abstract:
The Malvaceae family, the most diverse family in the order Malvales, consists of nine subfamilies. Within the Firmiana genus of the Sterculioideae subfamily, most species are considered globally vulnerable, yet their genomes remain unexplored. Here, we present a chromosome-level genome assembly for a representative Firmiana species, F. hainanensis, 2n = 40, totaling 1536 Mb. Phylogenomic analysis shows that F. hainanensis and Durio zibethinus have the closest evolutionary relationship, with an estimated divergence time of approximately 21 millions of years ago (MYA) and distinct polyploidization events in their histories. Evolutionary trajectory analyses indicate that fissions and fusions may play a crucial role in chromosome number variation (2n = 14 to 2n = 96). Analysis of repetitive elements among Malvaceae reveals that the Tekay subfamily (belonging to the Gypsy group) contributes to variation in genome size (ranging from 324 Mb to 1620 Mb). Additionally, genes associated with P450, peroxidase, and microtubules, and thereby related to cell wall biosynthesis, are significantly contracted in F. hainanensis, potentially leading to its lower wood density relative to Hopea hainanensis. Overall, our study provides insights into the evolution of chromosome number, genome size, and the genetic basis of cell wall biosynthesis in Malvaceae species.
The Monochoria genome provides insights into the molecular mechanisms underlying floral heteranthery
Jingshan Yang, Jinming Chen, Xiangyan He, Guangxi Wang, Spencer C. H. Barrett, Zhizhong Li
2025, 52(6): 826-838. doi: 10.1016/j.jgg.2025.02.008
Abstract:
Heteranthery, the occurrence of functionally and structurally distinct stamens within a flower, represents a striking example of convergent evolution among diverse animal-pollinated lineages. Although the ecological basis of this somatic polymorphism is understood, the developmental and molecular mechanisms are largely unknown. To address this knowledge gap, we selected Monochoria elata (Pontederiaceae) as our study system due to its typical heterantherous floral structure. We constructed a chromosome-level genome assembly of M. elata, conducted transcriptomic analyses and target phytohormone metabolome analysis to explore gene networks and hormones associated with heteranthery. We focused on three key stamen characteristics—colour, spatial patterning, and filament elongation—selected for their significant roles in stamen differentiation and their relevance to the functional diversity observed in heterantherous species. Our analyses suggest that gene networks involving MelLEAFY3, MADS-box, and TCP genes regulate stamen identity, with anthocyanin influencing colour, and lignin contributing to filament elongation. Additionally, variation in jasmonic acid and abscisic acid concentration between feeding and pollinating anthers appears to contribute to their morphological divergence. Our findings highlight gene networks and hormones associated with intra-floral stamen differentiation and indicate that whole genome duplications have likely facilitated the evolution of heteranthery during divergence from other Pontederiaceae without heteranthery.
Multi-view BLUP: a promising solution for post-omics data integrative prediction
Bingjie Wu, Huijuan Xiong, Lin Zhuo, Yingjie Xiao, Jianbing Yan, Wenyu Yang
2025, 52(6): 839-847. doi: 10.1016/j.jgg.2024.11.017
Abstract:
Phenotypic prediction is a promising strategy for accelerating plant breeding. Data from multiple sources (called multi-view data) can provide complementary information to characterize a biological object from various aspects. By integrating multi-view information into phenotypic prediction, a multi-view best linear unbiased prediction (MVBLUP) method is proposed in this paper. To measure the importance of multiple data views, the differential evolution algorithm with an early stopping mechanism is used, by which we obtain a multi-view kinship matrix and then incorporate it into the BLUP model for phenotypic prediction. To further illustrate the characteristics of MVBLUP, we perform the empirical experiments on four multi-view datasets in different crops. Compared to the single-view method, the prediction accuracy of the MVBLUP method has improved by 0.038–0.201 on average. The results demonstrate that the MVBLUP is an effective integrative prediction method for multi-view data.
Research Communications
Deep learning on chromatin profiles reveals the cis-regulatory sequence code of the rice genome
Xinkai Zhou, Zhonghao Ruan, Chenlu Zhang, Kerstin Kaufmann, Dijun Chen
2025, 52(6): 848-851. doi: 10.1016/j.jgg.2024.12.007
Abstract:
Gap-free genome assembly and metabolomics analysis of common bean provide insights into genomic characteristics and metabolic determinants of seed coat pigmentation
Bo Zhao, Hui Zhang, Qin Zhao, Rina Wu, Qian You, Bihui Wang, Yiming Wang, Zhilan Yan, Peng Wang, Chunguo Huang, Wei Zhang, Youmei Wang, Xiaopeng Hao, Jing Wu, Lixiang Wang, Zhaosheng Kong
2025, 52(6): 852-855. doi: 10.1016/j.jgg.2025.03.002
Abstract:
Near-complete de novo genome assemblies of tomato (Solanum lycopersicum) determinate cultivars Micro-Tom and M82
Shuangshuang Wang, Lei Lu, Min Xu, Jian Jiang, Xiaofeng Wang, Yao Zheng, Yitao Liang, Tianqi Zhang, Minghui Qin, Pinkuan Zhu, Ling Xu, Yina Jiang
2025, 52(6): 856-859. doi: 10.1016/j.jgg.2024.06.006
Abstract:
Genomic insights into the absence of root nodule formation and nitrogen fixation in Zenia insignis
Hang Yu, Yongbin Lu, Chao Zhang, Wenyuan Yang, Hongjiang Xie, Huiru Liu, Haifeng Wang
2025, 52(6): 860-863. doi: 10.1016/j.jgg.2024.12.001
Abstract:
Frequent polyploidization events in Hibiscus shaped its karyotype and species diversity
Cheng-Ao Yang, Shuai-Ya Hu, Jing Ge, Haibin Wang, Yue Wang, Chunsun Gu, Jia-Yu Xue
2025, 52(6): 864-867. doi: 10.1016/j.jgg.2024.05.006
Abstract: