refs.bib

@article{lu_whole-genome_2019,
	title = {Whole-genome resequencing reveals {Brassica} napus origin and genetic loci involved in its improvement},
	volume = {10},
	issn = {2041-1723},
	url = {https://doi.org/10.1038/s41467-019-09134-9},
	doi = {10.1038/s41467-019-09134-9},
	abstract = {Brassica napus (2n = 4x = 38, AACC) is an important allopolyploid crop derived from interspecific crosses between Brassica rapa (2n = 2x = 20, AA) and Brassica oleracea (2n = 2x = 18, CC). However, no truly wild B. napus populations are known; its origin and improvement processes remain unclear. Here, we resequence 588 B. napus accessions. We uncover that the A subgenome may evolve from the ancestor of European turnip and the C subgenome may evolve from the common ancestor of kohlrabi, cauliflower, broccoli, and Chinese kale. Additionally, winter oilseed may be the original form of B. napus. Subgenome-specific selection of defense-response genes has contributed to environmental adaptation after formation of the species, whereas asymmetrical subgenomic selection has led to ecotype change. By integrating genome-wide association studies, selection signals, and transcriptome analyses, we identify genes associated with improved stress tolerance, oil content, seed quality, and ecotype improvement. They are candidates for further functional characterization and genetic improvement of B. napus.},
	number = {1},
	journal = {Nature Communications},
	author = {Lu, Kun and Wei, Lijuan and Li, Xiaolong and Wang, Yuntong and Wu, Jian and Liu, Miao and Zhang, Chao and Chen, Zhiyou and Xiao, Zhongchun and Jian, Hongju and Cheng, Feng and Zhang, Kai and Du, Hai and Cheng, Xinchao and Qu, Cunming and Qian, Wei and Liu, Liezhao and Wang, Rui and Zou, Qingyuan and Ying, Jiamin and Xu, Xingfu and Mei, Jiaqing and Liang, Ying and Chai, You-Rong and Tang, Zhanglin and Wan, Huafang and Ni, Yu and He, Yajun and Lin, Na and Fan, Yonghai and Sun, Wei and Li, Nan-Nan and Zhou, Gang and Zheng, Hongkun and Wang, Xiaowu and Paterson, Andrew H. and Li, Jiana},
	month = mar,
	year = {2019},
	pages = {1154},
}

@article{csardi_igraph_2006,
	title = {The igraph software package for complex network research},
	volume = {Complex Systems},
	url = {https://igraph.org},
	journal = {InterJournal},
	author = {Csardi, Gabor and Nepusz, Tamas},
	year = {2006},
	pages = {1695},
}

@article{ognyanova_network_2021,
	title = {Network visualization with {R}},
	url = {https://kateto.net/network-visualization},
	abstract = {This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; and visualizing networks on geographic maps. To follow the tutorial, download the code and data below and use R and RStudio. You can also check out the most recent versions of all my tutorials here.},
	journal = {https://kateto.net/network-visualization},
	author = {Ognyanova, Katherine},
	month = jun,
	year = {2021},
}

@misc{wikipedia_contributors_weighted_2023,
	title = {Weighted correlation network analysis — {Wikipedia}, {The} {Free} {Encyclopedia}},
	url = {https://en.wikipedia.org/w/index.php?title=Weighted_correlation_network_analysis&oldid=1141388619},
	author = {{Wikipedia contributors}},
	year = {2023},
	annote = {[Online; accessed 29-March-2023]},
}