Acta Agronomica Sinica ›› 2021, Vol. 47 ›› Issue (11): 2121-2133.doi: 10.3724/SP.J.1006.2021.04249
• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles Next Articles
ZENG Jian(), XU Xian-Chao, XU Yu-Fei, WANG Xiu-Cheng, YU Hai-Yan, FENG Bei-Bei, XING Guang-Nan*()
[1] |
Lu X, Xiong Q, Cheng T, Li Q T, Liu X L, Bi Y D, Li W, Zhang W K, Ma B, Lai Y C, Du W G, Man W Q, Chen S Y, Zhang J S. A PP2C-1 allele underlying a quantitative trait locus enhances soybean 100-seed weight. Mol Plant, 2017, 10: 670-684.
doi: 10.1016/j.molp.2017.03.006 |
[2] |
Li J, Zhao J, Li Y, Gao Y, Hua S, Nadeem M, Sun G, Zhang W, Hou J, Wang X, Qiu L. Identification of a novel seed size associated locus SW9-1 in soybean. Crop J, 2019, 7: 548-559.
doi: 10.1016/j.cj.2018.12.010 |
[3] | 蒋费涛, 王书平, 祁俊生, 熊春霞. 转录组学技术及其在植物系统学上的研究进展. 现代盐化工, 2020, 47(4):14-17. |
Jiang F T, Wang S P, Qi J S, Xiong C X. Research progress of transcriptional technology and its advances in plant phylogeny. Mod Salt Chem Ind, 2020, 47(4):14-17 (in Chinese with English abstract). | |
[4] |
Rory S, Marta G, James H. RNA sequencing: the teenage years. Nat Rev Genet, 2019, 20: 631-656.
doi: 10.1038/s41576-019-0150-2 |
[5] | 杨宇昕, 桑志勤, 许诚, 代文双, 邹枨. 利用WGCNA进行玉米花期基因共表达模块鉴定. 作物学报, 2019, 45: 161-174. |
Yang Y X, Sang Z Q, Xu C, Dai W S, Zou C. Identification of co-expression modules for maize flowering stage genes using WGCNA. Acta Agron Sin, 2019, 45: 161-174 (in Chinese with English abstract). | |
[6] |
Hollender C A, Kang C, Darwish O, Geretz A, Matthews B F, Slovin J, Alkharouf N, Liu Z. Floral transcriptomes in woodland strawberry uncover developing receptacle and anther gene networks. Plant Physiol, 2014, 165: 1062-1075.
pmid: 24828307 |
[7] |
Greenham K, Guadagno C R, Gehan M A, Mockler T C, Weinig C, Ewers B E, McClung C R. Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa. eLife, 2017, 6: e29655.
doi: 10.7554/eLife.29655 |
[8] |
Yang S N, Miao L, He J B, Zhang K, Li Y, Gai J Y. Dynamic transcriptome changes related to oil accumulation in developing soybean seeds. Int J Mol Sci, 2019, 20: 2202.
doi: 10.3390/ijms20092202 |
[9] |
Lu X, Li Q T, Xiong Q, Li W, Bi Y D, Lai Y C, Liu X L, Man W Q, Zhang W K, Ma B, Chen S Y, Zhang J S. The transcriptomic signature of developing soybean seeds reveals the genetic basis of seed trait adaptation during domestication. Plant J, 2016, 86: 530-544.
doi: 10.1111/tpj.2016.86.issue-6 |
[10] | Lopez-Maestre H, Brinza L, Marchet C, Kielbassa J, Bastien S, Boutigny M, Monnin D, Filali A E, Carareto C M, Vieira C, Picard F, Kremer N, Vavre F, Sagot M F, Lacroix V. SNP calling from RNA-seq data without a reference genome: identification, quantification, differential analysis and impact on the protein sequence. Nucleic Acids Res, 2016, 44: e148. |
[11] |
Rogier O, Chateigner A, Amanzougarene S, Lesage-Descauses M C, Balzergue S, Brunaud V, Caius J, Soubigou-Taconnat L, Jorge V, Segura V. Accuracy of RNAseq based SNP discovery and genotyping in Populus nigra. BMC Genomics, 2018, 19: 909.
doi: 10.1186/s12864-018-5239-z pmid: 30541448 |
[12] |
Liu Y C, Du H L, Li P C, Shen Y T, Peng H, Liu S L, Zhou G A, Zhang H K, Liu Z, Shi M, Huang X H, Li Y, Zhang M, Wang Z, Zhu B G, Han B, Liang C Z, Tian Z X. Pan-genome of wild and cultivated soybeans. Cell, 2020, 182: 162-176.
doi: 10.1016/j.cell.2020.05.023 |
[13] | 丁琦, 徐伟, 李蒙, 王秀成, 卢伟, 盖钧镒, 王玲, 邢光南. 基于分水岭和统计矩的大豆籽粒形态参数测量方法. 大豆科学, 2019, 38: 960-967. |
Ding Q, Xu W, Li M, Wang X C, Lu W, Gai J Y, Wang L, Xing G N. Measurement method of soybean seed morphological parameters based on watershed and statistical moment. Soybean Sci, 2019, 38: 960-967 (in Chinese with English abstract). | |
[14] |
Pertea M, Kim D, Pertea G M, Leek J T, Salzberg S L. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat Protoc, 2016, 11: 1650-1667.
doi: 10.1038/nprot.2016.095 |
[15] |
Michael I L, Wolfgang H, Simon A. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol, 2014, 15: 550.
pmid: 25516281 |
[16] |
Peter L, Steve H. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 2008, 9: 1-32.
doi: 10.1186/1471-2105-9-1 |
[17] |
Yu G C, Wang L G, Han Y Y, He Q Y. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics, 2012, 16: 284-287.
doi: 10.1089/omi.2011.0118 |
[18] |
Paul S, Andrew M, Owen O, Nitin S B, Jonathan T W, Daniel R, Nada A, Benno S, Trey I. Cytoscape: a software environment for integrated. models of biomolecular interaction networks. Genome Res, 2003, 13: 2498-2504.
doi: 10.1101/gr.1239303 |
[19] |
Engström P G, Steijger T, Sipos B, Grant G R, Kahles A, Rätsch G, Goldman N, Hubbard T J, Harrow J, Guigó R, Bertone P. Systematic evaluation of spliced alignment programs for RNA-seq data. Nat Methods, 2013, 10: 1185-1191.
doi: 10.1038/nmeth.2722 pmid: 24185836 |
[20] |
Alexander D, Carrie A D, Felix S, Jorg D, Chris Z, Sonali J, Philippe B, Mark C, Thomas R G. STAR: ultrafast universal RNA-seq aligner. Bioinformatics, 2013, 29: 15-21.
doi: 10.1093/bioinformatics/bts635 pmid: 23104886 |
[21] |
Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics, 2011, 27: 2987-2993.
doi: 10.1093/bioinformatics/btr509 |
[22] |
Heldenbrand J R, Baheti S, Bockol M A, Drucker T M, Hart S N, Hudson M E, Iyer R K, Kalmbach M T, Kendig K I, Klee E W, Mattson N R, Wieben E D, Wiepert M, Wildman D E, Mainzer L S. Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinf, 2019, 20: 722.
doi: 10.1186/s12859-019-3277-4 |
[23] |
Petr D, Adam A, Goncalo A, Cornelis A A, Eric B, Mark A D, Robert E H, Gerton L, Gabor T M, Stephen T S, Gilean M, Richard D. The variant call format and VCFtools. Bioinformatics, 2011, 27: 2156-2158.
doi: 10.1093/bioinformatics/btr330 |
[24] |
Cingolani P, Platts A, Wang L L, Coon M, Nguyen T, Wang L, Land S J, Lu X Y, Ruden D M. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff. Fly, 2012, 6: 80-92.
doi: 10.4161/fly.19695 pmid: 22728672 |
[25] |
Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones S J, Marra M A. Circos: an information aesthetic for comparative genomics. Genome Res, 2009, 19: 1639-1645.
doi: 10.1101/gr.092759.109 pmid: 19541911 |
[26] |
Torkamaneh D, Laroche J, Valliyodan B, O’Donoughue L, Belzile F. Soybean (Glycine max) Haplotype Map (GmHapMap): a universal resource for soybean translational and functional genomics. Plant Biotechnol J, 2020, 19: 324-334.
doi: 10.1111/pbi.v19.2 |
[27] |
Li N, Xu R, Li Y. Molecular networks of seed size control in plants. Annu Rev Plant Biol, 2019, 70: 435-463.
doi: 10.1146/annurev-arplant-050718-095851 |
[28] |
Cheng Z J, Zhao X Y, Shao X X, Wang F, Zhou C, Liu Y G, Zhang Y, Zhang X S. Abscisic acid regulates early seed development in Arabidopsis by ABI5-mediated transcription of SHORT HYPOCOTYL UNDER BLUE1. Plant Cell, 2014, 26: 1053-1068.
doi: 10.1105/tpc.113.121566 |
[29] |
Koichiro A, Tokunori H, Kanna S I, Miyako U T, Hidemi K, Makoto M. A novel AP2-type transcription factor, SMALL ORGAN SIZE1, controls organ size downstream of an auxin signaling pathway. Plant Cell Physiol, 2014, 55: 897-912.
doi: 10.1093/pcp/pcu023 pmid: 24486766 |
[30] |
Gu Y Z, Li W, Jiang H W, Wang Y, Gao H H, Liu M, Chen Q S, Lai Y C, He C Y. Differential expression of a WRKY gene between wild and cultivated soybeans correlates to seed size. J Exp Bot, 2017, 68: 2717-2729.
doi: 10.1093/jxb/erx147 |
[31] |
Li N, Li Y H. Signaling pathways of seed size control in plants. Curr Opin Plant Biol, 2016, 33: 23-32.
doi: 10.1016/j.pbi.2016.05.008 |
[32] |
Hans W, Ljudmilla B, Ulrich W. Molecular physiology of legume seed development. Annu Rev Plant Biol, 2005, 56: 253-279.
doi: 10.1146/annurev.arplant.56.032604.144201 |
[33] | 倪资园, 蔡丽, 谢皓, 陈学珍. 大豆籽粒发育过程中营养物质的积累动态分析. 北京农学院学报, 2011, 26(2):1-3. |
Ni Z Y, Cai L, Xie H, Chen X Z. Analysis of dynamic accumulation on nutrients during maturing process in soybean seed. J Beijing Agric Coll, 2011, 26(2):1-3 (in Chinese with English abstract). | |
[34] |
Xu R, Duan P G, Yu H Y, Zhou Z K, Zhang B L, Wang R C, Li J, Zhang G Z, Zhuang S S, Lyu J, Li N, Chai T Y, Tian Z X, Yao S G, Li Y H. Control of grain size and weight by the OsMKKK10-OsMKK4-OsMAPK6 signaling pathway in rice. Mol Plant, 2018, 11: 860-873.
doi: 10.1016/j.molp.2018.04.004 |
[35] |
Srivastava A K, Lu Y M, Zinta G, Lang Z B, Zhu J K. UTR-dependent control of gene expression in plants. Trends Plant Sci, 2018, 23: 248-259.
doi: S1360-1385(17)30255-8 pmid: 29223924 |
[36] |
Mian M A, Bailey M A, Tamulonis J P, Shipe E R, Carter T E, Parrott W A, Ashley D A, Hussey R S, Boerma H R. Molecular markers associated with seed weight in two soybean populations. Theor Appl Genet, 1996, 93: 1011-1016.
doi: 10.1007/BF00230118 pmid: 24162474 |
[37] |
Orf J H, Chase K, Jarvik T, Mansur L M, Cregan P B, Adler F R, Lark K G. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Sci, 1999, 39: 1642-1651.
doi: 10.2135/cropsci1999.3961642x |
[38] | Li W X, Zheng D H. QTL mapping for major agronomic traits across two years in soybean (Glycine max L. Merr.). J Crop Sci Biotechnol, 2008, 11: 171-176. |
[39] |
Teng W, Han Y, Du Y, Sun D, Zhang Z, Qiu L, Sun G, Li W. QTL analyses of seed weight during the development of soybean (Glycine max L. Merr.). Heredity, 2009, 102: 372-380.
doi: 10.1038/hdy.2008.108 pmid: 18971958 |
[40] |
Akond M, Liu S M, Boney M, Kantartzi St K, Meksem K, Bellaloui N, Lightfoot D A, Kassem M A. Identification of quantitative trait loci (QTL) underlying protein, oil, and five major fatty acids’ contents in soybean. Am J Plant Sci, 2014, 5: 158-167.
doi: 10.4236/ajps.2014.51021 |
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