Pan-Genome Analysis Reveals Local Adaptation to Climate Driven by Introgression in Oak Species. Liang, Y., Liu, H., Lin, Q., Shi, Y., Zhou, B., Wang, J., Chen, X., Shen, Z., Qiao, L., Niu, J., Ling, S., Luo, W., Zhao, W., Liu, J., Kuang, Y., Ingvarsson, P. K, Guo, Y., & Wang, B. Molecular Biology and Evolution, 42(5):msaf088, May, 2025. ![Pan-Genome Analysis Reveals Local Adaptation to Climate Driven by Introgression in Oak Species [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The genetic base of local adaptation has been extensively studied in natural populations. However, a comprehensive genome-wide perspective on the contribution of structural variants (SVs) and adaptive introgression to local adaptation remains limited. In this study, we performed de novo assembly and annotation of 22 representative accessions of Quercus variabilis, identifying a total of 543,372 SVs. These SVs play crucial roles in shaping genomic structure and influencing gene expression. By analyzing range-wide genomic data, we identified both SNPs and SVs associated with local adaptation in Q. variabilis and Quercus acutissima. Notably, SV-outliers exhibit selection signals that did not overlap with SNP-outliers, indicating that SNP-based analyses may not detect the same candidate genes associated with SV-outliers. Remarkably, 29%−37% of candidate SNPs were located in a 250 kb region on chromosome 9, referred to as Chr9-ERF. This region contains 8 duplicated ethylene-responsive factor (ERF) genes, which may have contributed to local adaptation of Q. variabilis and Q. acutissima. We also found that a considerable number of candidate SNPs were shared between Q. variabilis and Q. acutissima in the Chr9-ERF region, suggesting a pattern of repeated selection. We further demonstrated that advantageous variants in this region were introgressed from western populations of Q. acutissima into Q. variabilis, providing compelling evidence that introgression facilitates local adaptation. This study offers a valuable genomic resource for future studies on oak species and highlights the importance of pan-genome analysis in understating mechanism driving adaptation and evolution.
@article{liang_pan-genome_2025,
title = {Pan-{Genome} {Analysis} {Reveals} {Local} {Adaptation} to {Climate} {Driven} by {Introgression} in {Oak} {Species}},
volume = {42},
issn = {1537-1719},
url = {https://doi.org/10.1093/molbev/msaf088},
doi = {10.1093/molbev/msaf088},
abstract = {The genetic base of local adaptation has been extensively studied in natural populations. However, a comprehensive genome-wide perspective on the contribution of structural variants (SVs) and adaptive introgression to local adaptation remains limited. In this study, we performed de novo assembly and annotation of 22 representative accessions of Quercus variabilis, identifying a total of 543,372 SVs. These SVs play crucial roles in shaping genomic structure and influencing gene expression. By analyzing range-wide genomic data, we identified both SNPs and SVs associated with local adaptation in Q. variabilis and Quercus acutissima. Notably, SV-outliers exhibit selection signals that did not overlap with SNP-outliers, indicating that SNP-based analyses may not detect the same candidate genes associated with SV-outliers. Remarkably, 29\%−37\% of candidate SNPs were located in a 250 kb region on chromosome 9, referred to as Chr9-ERF. This region contains 8 duplicated ethylene-responsive factor (ERF) genes, which may have contributed to local adaptation of Q. variabilis and Q. acutissima. We also found that a considerable number of candidate SNPs were shared between Q. variabilis and Q. acutissima in the Chr9-ERF region, suggesting a pattern of repeated selection. We further demonstrated that advantageous variants in this region were introgressed from western populations of Q. acutissima into Q. variabilis, providing compelling evidence that introgression facilitates local adaptation. This study offers a valuable genomic resource for future studies on oak species and highlights the importance of pan-genome analysis in understating mechanism driving adaptation and evolution.},
number = {5},
urldate = {2025-05-16},
journal = {Molecular Biology and Evolution},
author = {Liang, Yi-Ye and Liu, Hui and Lin, Qiong-Qiong and Shi, Yong and Zhou, Biao-Feng and Wang, Jing-Shu and Chen, Xue-Yan and Shen, Zhao and Qiao, Liang-Jing and Niu, Jing-Wei and Ling, Shao-Jun and Luo, Wen-Ji and Zhao, Wei and Liu, Jian-Feng and Kuang, Yuan-Wen and Ingvarsson, Pär K and Guo, Ya-Long and Wang, Baosheng},
month = may,
year = {2025},
pages = {msaf088},
}
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In this study, we performed de novo assembly and annotation of 22 representative accessions of Quercus variabilis, identifying a total of 543,372 SVs. These SVs play crucial roles in shaping genomic structure and influencing gene expression. By analyzing range-wide genomic data, we identified both SNPs and SVs associated with local adaptation in Q. variabilis and Quercus acutissima. Notably, SV-outliers exhibit selection signals that did not overlap with SNP-outliers, indicating that SNP-based analyses may not detect the same candidate genes associated with SV-outliers. Remarkably, 29%−37% of candidate SNPs were located in a 250 kb region on chromosome 9, referred to as Chr9-ERF. This region contains 8 duplicated ethylene-responsive factor (ERF) genes, which may have contributed to local adaptation of Q. variabilis and Q. acutissima. We also found that a considerable number of candidate SNPs were shared between Q. variabilis and Q. acutissima in the Chr9-ERF region, suggesting a pattern of repeated selection. We further demonstrated that advantageous variants in this region were introgressed from western populations of Q. acutissima into Q. variabilis, providing compelling evidence that introgression facilitates local adaptation. This study offers a valuable genomic resource for future studies on oak species and highlights the importance of pan-genome analysis in understating mechanism driving adaptation and evolution.","number":"5","urldate":"2025-05-16","journal":"Molecular Biology and Evolution","author":[{"propositions":[],"lastnames":["Liang"],"firstnames":["Yi-Ye"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Hui"],"suffixes":[]},{"propositions":[],"lastnames":["Lin"],"firstnames":["Qiong-Qiong"],"suffixes":[]},{"propositions":[],"lastnames":["Shi"],"firstnames":["Yong"],"suffixes":[]},{"propositions":[],"lastnames":["Zhou"],"firstnames":["Biao-Feng"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Jing-Shu"],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["Xue-Yan"],"suffixes":[]},{"propositions":[],"lastnames":["Shen"],"firstnames":["Zhao"],"suffixes":[]},{"propositions":[],"lastnames":["Qiao"],"firstnames":["Liang-Jing"],"suffixes":[]},{"propositions":[],"lastnames":["Niu"],"firstnames":["Jing-Wei"],"suffixes":[]},{"propositions":[],"lastnames":["Ling"],"firstnames":["Shao-Jun"],"suffixes":[]},{"propositions":[],"lastnames":["Luo"],"firstnames":["Wen-Ji"],"suffixes":[]},{"propositions":[],"lastnames":["Zhao"],"firstnames":["Wei"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Jian-Feng"],"suffixes":[]},{"propositions":[],"lastnames":["Kuang"],"firstnames":["Yuan-Wen"],"suffixes":[]},{"propositions":[],"lastnames":["Ingvarsson"],"firstnames":["Pär","K"],"suffixes":[]},{"propositions":[],"lastnames":["Guo"],"firstnames":["Ya-Long"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Baosheng"],"suffixes":[]}],"month":"May","year":"2025","pages":"msaf088","bibtex":"@article{liang_pan-genome_2025,\n\ttitle = {Pan-{Genome} {Analysis} {Reveals} {Local} {Adaptation} to {Climate} {Driven} by {Introgression} in {Oak} {Species}},\n\tvolume = {42},\n\tissn = {1537-1719},\n\turl = {https://doi.org/10.1093/molbev/msaf088},\n\tdoi = {10.1093/molbev/msaf088},\n\tabstract = {The genetic base of local adaptation has been extensively studied in natural populations. However, a comprehensive genome-wide perspective on the contribution of structural variants (SVs) and adaptive introgression to local adaptation remains limited. In this study, we performed de novo assembly and annotation of 22 representative accessions of Quercus variabilis, identifying a total of 543,372 SVs. These SVs play crucial roles in shaping genomic structure and influencing gene expression. By analyzing range-wide genomic data, we identified both SNPs and SVs associated with local adaptation in Q. variabilis and Quercus acutissima. Notably, SV-outliers exhibit selection signals that did not overlap with SNP-outliers, indicating that SNP-based analyses may not detect the same candidate genes associated with SV-outliers. Remarkably, 29\\%−37\\% of candidate SNPs were located in a 250 kb region on chromosome 9, referred to as Chr9-ERF. This region contains 8 duplicated ethylene-responsive factor (ERF) genes, which may have contributed to local adaptation of Q. variabilis and Q. acutissima. We also found that a considerable number of candidate SNPs were shared between Q. variabilis and Q. acutissima in the Chr9-ERF region, suggesting a pattern of repeated selection. We further demonstrated that advantageous variants in this region were introgressed from western populations of Q. acutissima into Q. variabilis, providing compelling evidence that introgression facilitates local adaptation. 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