| [1] |
Tarazi R, Vaslin M F S. The viral threat in cotton: How new and emerging technologies accelerate virus identification and virus resistance breeding[J]. Frontiers in Plant Science, 2022, 13: 851939.
doi: 10.3389/fpls.2022.851939
|
| [2] |
Ruan Y L. Boosting seed development as a new strategy to increase cotton fiber yield and quality[J]. Journal of Integrative Plant Biology, 2013, 55(7): 572-575.
doi: 10.1111/jipb.v55.7
|
| [3] |
Yan W, Li F J, Xu D Y, Eneji A E, Du M W, Tian X L, Li Z H. Effects of row spacing, nitrogen, and mepiquat chloride application on yield and spatio-temporal patterns of cotton bolls in the Yellow River valley of China[J]. Agronomy Journal, 2021, 113(1): 61-74.
doi: 10.1002/agj2.v113.1
|
| [4] |
Salama E A A, Farid M A, El-Mahalawy Y A, El-Akheder A A A, Aboshosha A A, Fayed A M, Yehia W M B, Lamlom S F. Exploring agro-morphological and fiber traits diversity in cotton (G. barbadense L.)[J]. BMC Plant Biology, 2024, 24(1): 403.
doi: 10.1186/s12870-024-04912-0
pmid: 38750434
|
| [5] |
Dai P H, Miao Y C, He S P, Pan Z E, Jia Y H, Cai Y F, Sun J L, Wang L R, Pang B Y, Wang M, Du X M. Identifying favorable alleles for improving key agronomic traits in upland cotton[J]. BMC Plant Biology, 2019, 19(1): 138.
doi: 10.1186/s12870-019-1725-y
pmid: 30975072
|
| [6] |
Pan Y X, Meng F B, Wang X Y. Sequencing multiple cotton genomes reveals complex structures and lays foundation for breeding[J]. Frontiers in Plant Science, 2020, 11: 560096.
doi: 10.3389/fpls.2020.560096
|
| [7] |
Eriani G, Delarue M, Poch O, Gangloff J, Moras D. Partition of tRNA synthetases into two classes based on mutually exclusive sets of sequence motifs[J]. Nature, 1990, 347(6289): 203-206.
doi: 10.1038/347203a0
|
| [8] |
Ibba M, Soll D. Aminoacyl-tRNA synthesis[J]. Annual Review of Biochemistry, 2000, 69: 617-650.
pmid: 10966471
|
| [9] |
Berg M, Rogers R, Muralla R, Meinke D. Requirement of aminoacyl- tRNA synthetases for gametogenesis and embryo development in Arabidopsis[J]. The Plant Journal, 2005, 44(5): 866-878.
doi: 10.1111/tpj.2005.44.issue-5
|
| [10] |
Saga Y, Kawashima M, Sakai S, Yamazaki K, Kaneko M, Takahashi M, Sato N, Toyoda Y, Takase S, Nakano T, Kawakami N, Kushiro T. Plant-specific domains and fragmented sequences imply non- canonical functions in plant aminoacyl-tRNA synthetases[J]. Genes, 2020, 11(9): 1056.
doi: 10.3390/genes11091056
|
| [11] |
Zhang J Z, Somerville C R. Suspensor-derived polyembryony caused by altered expression of valyl-tRNA synthetase in the twn2 mutant of Arabidopsis[J]. Proceedings of the National Academy of Sciences of the United States of America, 1997, 94(14): 7349-7355.
doi: 10.1073/pnas.94.14.7349
pmid: 9207094
|
| [12] |
Moschopoulos A, Derbyshire P, Byrne M E. The Arabidopsis organelle-localized glycyl-tRNA synthetase encoded by EMBRYO DEFECTIVE DEVELOPMENT1 is required for organ patterning[J]. Journal of Experimental Botany, 2012, 63(14): 5233-5243.
doi: 10.1093/jxb/ers184
pmid: 22791832
|
| [13] |
Xi Y, Cai J J, Peng Q F, Li G T, Zhu G H. Chloroplastic aspartyl-tRNA synthetase is required for chloroplast development, photosynthesis and photorespiratory metabolism[J]. Plant, Cell & Environment, 2025, 48(5): 2998-3011.
doi: 10.1111/pce.v48.5
|
| [14] |
唐小涵, 刘世家, 刘喜, 田云录, 王云龙, 滕烜, 段二超, 张元燕, 江玲, 张文伟, 王益华, 万建民. 色氨酰-tRNA合成酶基因WRS1调控水稻种子发育[J]. 中国水稻科学, 2020, 34(5): 383-396.
doi: 10.16819/j.1001-7216.2020.0302
|
|
Tang X H, Liu S J, Liu X, Tian Y L, Wang Y L, Teng X, Duan E C, Zhang Y Y, Jiang L, Zhang W W, Wang Y H, Wan J M. Tryptophanyl- tRNA synthetase gene WRS1 regulates rice seed development[J]. Chinese Journal of Rice Science, 2020, 34(5): 383-396. (in Chinese)
|
| [15] |
Yang X J, Li G, Tian Y S, Song Y, Liang W Q, Zhang D B. A rice glutamyl-tRNA synthetase modulates early anther cell division and patterning[J]. Plant Physiology, 2018, 177(2): 728-744.
doi: 10.1104/pp.18.00110
pmid: 29720556
|
| [16] |
Liu H J, Gong X, Deng H, Tan J J, Sun Y Q, Wang F, Wu W J, Zhou Z J, Xu R M, He H Y, Lo C. The rice aspartyl-tRNA synthetase YLC3 regulates amino acid homeostasis and chloroplast development under low temperature[J]. Frontiers in Plant Science, 2022, 13: 847364.
doi: 10.3389/fpls.2022.847364
|
| [17] |
Yang Z Q, Wang J, Huang Y M, Wang S B, Wei L L, Liu D X, Weng Y L, Xiang J H, Zhu Q, Yang Z E, Nie X H, Yu Y, Yang Z R, Yang Q Y. CottonMD: A multi-omics database for cotton biological study[J]. Nucleic Acids Research, 2023, 51(D1): D1446-D1456.
|
| [18] |
Kumar S, Stecher G, Suleski M, Sanderford M, Sharma S, Tamura K. MEGA12: Molecular evolutionary genetic analysis version 12 for adaptive and green computing[J]. Molecular Biology and Evolution, 2024, 41(12): msae263.
|
| [19] |
Letunic I, Bork P. Interactive Tree Of Life (iTOL) v4: Recent updates and new developments[J]. Nucleic Acids Research, 2019, 47(W1): W256-W259.
doi: 10.1093/nar/gkz239
|
| [20] |
Wang Y P, Li J P, Paterson A H. MCScanX-transposed: Detecting transposed gene duplications based on multiple colinearity scans[J]. Bioinformatics, 2013, 29(11): 1458-1460.
doi: 10.1093/bioinformatics/btt150
pmid: 23539305
|
| [21] |
Chen C J, Chen H, Zhang Y, Thomas H R, Frank M H, He Y H, Xia R. TBtools: An integrative toolkit developed for interactive analyses of big biological data[J]. Molecular Plant, 2020, 13(8): 1194-1202.
doi: S1674-2052(20)30187-8
pmid: 32585190
|
| [22] |
Bailey T L, Boden M, Buske F A, Frith M, Grant C E, Clementi L, Ren J Y, Li W W, Noble W S. MEME Suite: Tools for motif discovery and searching[J]. Nucleic Acids Research, 2009, 37(suppl_2): W202-W208.
doi: 10.1093/nar/gkp335
|
| [23] |
Lescot M, Déhais P, Thijs G, Marchal K, Moreau Y, Van de Peer Y, Rouzé P, Rombauts S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences[J]. Nucleic Acids Research, 2002, 30(1): 325-327.
doi: 10.1093/nar/30.1.325
|
| [24] |
Zhao L J, Lü Y J, Chen W, Yao J B, Li Y, Li Q L, Pan J W, Fang S T, Sun J, Zhang Y S. Genome-wide identification and analyses of the AHL gene family in cotton (Gossypium)[J]. BMC Genomics, 2020, 21(1): 69.
doi: 10.1186/s12864-019-6406-6
pmid: 31969111
|
| [25] |
Rao X Y, Huang X L, Zhou Z C, Lin X. An improvement of the 2ˆ (-delta delta CT) method for quantitative real-time polymerase chain reaction data analysis[J]. Biostatistics, Bioinformatics and Biomathematics, 2013, 3(3): 71-85.
|
| [26] |
Zhang T Z, Hu Y, Jiang W K, Fang L, Guan X Y, Chen J D, Zhang J B, Saski C A, Scheffler B E, Stelly D M, Hulse-Kemp A M, Wan Q, Liu B L, Liu C X, Wang S, Pan M Q, Wang Y K, Wang D W, Ye W X, Chang L J, et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. Acc. TM-1) provides a resource for fiber improvement[J]. Nature Biotechnology, 2015, 33(5): 531-537.
doi: 10.1038/nbt.3207
|
| [27] |
Wellburn A R, Lichtenthaler H. Formulae and program to determine total carotenoids and chlorophylls a and B of leaf extracts in different solvents[M]//Advances in Photosynthesis Research: Proceedings of the VIth International Congress on Photosynthesis, Brussels, Belgium, August 1-6, 1983 Volume 2. Dordrecht: Springer Netherlands, 1984: 9-12.
|
| [28] |
Gebretsadik K, Chen W L, Duan Y, Sun Y P, He Y D, Liao Q G, Wang C L, Bo K L. Map-based cloning reveals Cpgp gene encoding an APRR2 protein to regulate the green fruit peel formation in Cucurbita pepo[J]. Molecular Breeding, 2024, 44(8): 53.
doi: 10.1007/s11032-024-01492-7
|
| [29] |
Garnier E, Shipley B, Roumet C, Laurent G. A standardized protocol for the determination of specific leaf area and leaf dry matter content[J]. Functional Ecology, 2001, 15(5): 688-695.
doi: 10.1046/j.0269-8463.2001.00563.x
|
| [30] |
Guo C P, Pan Z Y, You C Y, Zhou X F, Huang C, Shen C, Zhao R H, Yang Q Y, Zhu L F, Shahzad R, Meng F D, Lin Z X, Nie X H. Association mapping and domestication analysis to dissect genetic improvement process of upland cotton yield-related traits in China[J]. Journal of Cotton Research, 2021, 4(1): 10.
doi: 10.1186/s42397-021-00087-3
|
| [31] |
Geng X L, Sun G F, Qu Y J, Sarfraz Z, Jia Y H, He S P, Pan Z E, Sun J L, Iqbal M S, Wang Q L, Qin H D, Liu J H, Liu H, Yang J, Ma Z Y, Xu D Y, Yang J L, Zhang J B, Li Z K, Cai Z M, et al. Genome-wide dissection of hybridization for fiber quality- and yield-related traits in upland cotton[J]. The Plant Journal, 2020, 104(5): 1285-1300.
doi: 10.1111/tpj.v104.5
|
| [32] |
Sloan D B, DeTar R A, Warren J M. Aminoacyl-tRNA synthetase evolution within the dynamic tripartite translation system of plant cells[J]. Genome Biology and Evolution, 2023, 15(4): evad050.
doi: 10.1093/gbe/evad050
|
| [33] |
Warren J M, Broz A K, Martinez-Hottovy A, Elowsky C, Christensen A C, Sloan D B. Rewiring of aminoacyl-tRNA synthetase localization and interactions in plants with extensive mitochondrial tRNA gene loss[J]. Molecular Biology and Evolution, 2023, 40(7): msad163.
|
| [34] |
Huang G, Huang J Q, Chen X Y, Zhu Y X. Recent advances and future perspectives in cotton research[J]. Annual Review of Plant Biology, 2021, 72: 437-462.
doi: 10.1146/annurev-arplant-080720-113241
pmid: 33428477
|
| [35] |
Zhang Q Q, Wang P L, Li W L, Liu M, Zhou L L, Su X F, Cheng H M, Guo H M. AmCBF1 activates the expression of GhClpR1 to mediate dark-green leaves in cotton (Gossypium hirsutum)[J]. Plant Cell Reports, 2024, 43(3): 83.
doi: 10.1007/s00299-024-03171-5
pmid: 38441719
|
| [36] |
Salazar-Iribe A, De-la-Peña C. Auxins, the hidden player in chloroplast development[J]. Plant Cell Reports, 2020, 39(12): 1595-1608.
doi: 10.1007/s00299-020-02596-y
|
| [37] |
Qi H K, Xiao C Y, Zhao W C, Xu D Y, Eneji A E, Lu Z Y, Shao R R, Wang G F, Du M W, Tian X L, Li Z H. Chemical topping with mepiquat chloride at flowering does not compromise the maturity or yield of cotton[J]. Agronomy, 2023, 13(2): 497.
doi: 10.3390/agronomy13020497
|
| [38] |
Zhang H Z, Khan A, Tan D K Y, Luo H H. Rational water and nitrogen management improves root growth, increases yield and maintains water use efficiency of cotton under mulch drip irrigation[J]. Frontiers in Plant Science, 2017, 8: 912.
doi: 10.3389/fpls.2017.00912
pmid: 28611817
|
| [39] |
Tung S A, Huang Y, Hafeez A, Ali S, Khan A, Souliyanonh B, Song X H, Liu A D, Yang G Z. Mepiquat chloride effects on cotton yield and biomass accumulation under late sowing and high density[J]. Field Crops Research, 2018, 215: 59-65.
doi: 10.1016/j.fcr.2017.09.032
|
| [40] |
Luo H H, Zhang Z X, Wu J F, Wu Z J, Wen T W, Tang F Y. Effects of mepiquat chloride and plant population density on leaf photosynthesis and carbohydrate metabolism in upland cotton[J]. Journal of Cotton Research, 2023, 6(1): 20.
doi: 10.1186/s42397-023-00157-8
|