棉花纤维品质相关性状QTL元分析及候选基因鉴定

doi:10.3724/SP.J.1006.2025.44108

Abstract

Abstract:

Cotton fiber quality is a complex quantitative trait controlled by multiple genes. Identifying true quantitative trait loci (QTL) and candidate genes associated with fiber quality is critical for the genetic improvement of cotton. In this study, QTL meta-analysis was performed using BioMercator 4.2 software, with a high-density molecular marker genetic linkage map published by Blenda A et al. as the reference. A total of 379 original QTLs related to cotton fiber quality, derived from 21 independent QTL mapping studies, were integrated, mapped, and analyzed. This analysis identified 74 meta-QTLs (MQTLs) associated with cotton fiber quality traits, distributed across 26 chromosomes, with the minimum confidence interval of 0.5 cM. These MQTLs collectively encompassed 13,833 genes. Through RNA-seq analysis combined with GO and KEGG enrichment analysis, 32 candidate genes related to cotton fiber quality were identified. qRT-PCR validation revealed that these genes exhibited differential expression during various stages of fiber development, suggesting their potential roles in regulating fiber growth and quality. This study provides a theoretical basis for molecular marker-assisted breeding and gene cloning for cotton fiber quality.

Key words: cotton, fiber quality, consistency QTL, meta-analysis

GUO Dong-Cai, LYU Tao, CAI Yong-Sheng, MAI WU-LU-DA·AI He-Mai-Ti, CHEN Quan-Jia, QU Yan-Ying, ZHENG Kai. Meta-analysis of QTL and identification of candidate genes for fiber quality in cotton[J].Acta Agronomica Sinica, 2025, 51(6): 1445-1466.

Figures/Tables 11

Table 1

Literature information on QTL for fiber quality related traits in cotton"

亲本组合 Parental combination	群体大小 Population size	群体类型 Population type	QTL数目 QTL number	LOD值 LOD score	贡献率 R² (%)	参考文献 Reference
901-001 × SGK156	250	F₂/F_2:3/F_2:4/F_2:5	11	2.80-6.10	1.08-25.41	[24]
MBI7455 × MBI7358	491	F₂	10	2.35-4.30	2.52-7.89	[25]
中棉所36 × 海1 CCRI 36 × Hai 1	408	BC₅F₃/BC₅F_3:4/BC₅F_3:5	21	2.58-10.80	2.60-11.45	[26]
苏优6167 × 苏棉22号 Suyou 6167 × Sumian 22	348	F₂/F_2:3	11	3.72-31.26	6.76-33.28	[27]
鲁棉研37 × Sealand LMY 37 × Sealand	365	F₂/F_2:3	5	3.81-8.14	3.98-8.09	[28]
中棉所36 × 海1 CCRI 36 × Hai 1	135	BC₁F₁/BC₂F₁/BC₁S₁	21	2.51-4.67	6.62-14.19	[29]
GX1135 × GX100-2	173	F₂/F_2:3/F_2:4	13	2.19-7.46	7.70-14.77	[30]
中棉所36 × 海1 CCRI 36×Hai 1	133	BC₅F₁/BC₅F₂	18	2.58-4.57	6.97-12.93	[31]
中棉所8 × Pima 90-53 CCRI 8 × Pima 90-53	182	BC₃F₅	25	3.05-6.07	1.27-12.45	[32]
中棉所35 × 渝棉1号 CCRI 35 × Yumian 1	180	RIL	48	2.02-3.68	5.00-9.00	[33]
中棉所12 × 中棉所28, 中棉所12 × 湘杂棉2号 CCRI 12 × CCRI 28, CCRI 12 × Xiangzamian 2	262, 260	F₂/F_2:3	13	2.09-16.05	3.97-25.89	[34]
0-153 × sGK9708	250, 196	F₂/F_2:3, RIL	24	2.64-13.49	4.60-27.86	[35]
LY343 × LMY22	209	F₂/F_2:3	11	3.95-14.64	5.29-20.66	[36]
TM-1 × 渝棉1号 TM-1×Yumian 1	228	F₂/F₃	4	2.58-6.53	5.32-19.17	[37]
1138 × NM03102	195	F₂/F_2:3	7	2.73-4.65	6.43-12.64	[38]
中棉所36 × MBI9626 CCRI 36 × MBI9626	152	BC₆F₂/BC₆F_2:3/BC₆F_2:4	7	2.73-3.74	3.67-9.83	[39]
5026 × 李台8号 5026 × Li 8	169	RIL	3	3.02-3.23	6.70-6.80	[40]
中棉所45 × 海1 CCRI 45 × Hai 1	116	BC₄F₁	20	2.54-5.24	7.57-38.39	[41]
鲁棉研22 × R497, 鲁棉研22 × R472 LMY 22 × R497, LMY 22 × R472	544, 541	F₂/F_2:3	9	3.44-8.15	2.84-9.06	[42]
中棉所36 × Hai7124 CCRI 36 × Hai7124	186	F₂/F_2:3	91	2.50-9.50	2.67-51.30	[43]
中棉所8号 × 海岛棉Pima 90-53 CCRI 8 × Haidaomian Pima 90-53	131	BC₁F₂/BC₁F_2:3/BC₁F_2:4	7	2.54-5.64	11.99-42.79	[44]

Table 1

Fig. 1

Table 2

Meta-analysis results of QTLs for fiber quality related traits in cotton"

编号 Number	染色体 Chr.	原始性状 Original trait	QTL 数目 QTL number	位置 Position (cM)	置信区间 Confidence interval (cM)	侧翼标记 Flanking marker	MQTL的物理距离 Physical length of MQTL (Mb)
MQTL1	A01	FL, FS	3	26.63	13.12-40.14	NAU3254-NAU2741	108.53-113.32
MQTL2	A01	FL, FS, FM	5	42.57	39.27-45.87	NAU2095-NAU5163	108.21-111.37
MQTL3	A01	FL, FS, FM	5	46.03	43.94-48.12	NAU2741-NAU3433	105.90-108.53
MQTL4	A01	FL, FS	3	55.88	53.91-57.85	NAU3433-BNL3886	60.38-105.90
MQTL5	A01	FS, FU	2	66.00	57.87-74.13	BNL3886-TMB0062	17.45-60.32
MQTL6	A02	FL, FU	4	37.82	37.68-37.96	HAU2690-HAU1155	96.37-97.39
MQTL7	A03	FL, FM	2	12.40	0.00-28.42	NAU5289-HAU2127	102.24-103.78
MQTL8	A03	FL, FS, FM, FU, FE	13	52.10	49.97-54.23	CIR245-NAU1248	93.53-97.33
MQTL9	A03	FL, FS, FM, FU, FE	13	56.43	52.47-60.39	NAU1068-BNL4034	89.61-95.44
MQTL10	A03	FL, FS, FM, FU, FE	16	61.25	58.02-64.48	BNL4034-Gh129	85.30-89.61
MQTL11	A03	FL, FS, FM, FU, FE	14	77.28	69.66-84.90	BNL3398-TMB1898	142.58-74.88
MQTL12	A04	FL, FM, FU, FE	5	40.96	40.32-41.60	MUSS396-Gh124	11.64-20.54
MQTL13	A05	FS, FU	2	11.98	1.08-22.88	MUSS219-Gh260	96.96-101.83
MQTL14	A05	FS, FM, FU, FE	5	30.83	27.51-34.15	CIR185-JESPR065	92.00-95.32
MQTL15	A05	FS, FM, FE	5	36.43	29.16-43.70	JESPR065-TMB1314	87.66-92.00
MQTL16	A05	FL, FS, FM, FU, FE	17	73.93	72.8-75.06	JESPR241-BNL0542	28.38-30.52
MQTL17	A06	FL, FM, FU	4	73.84	66.9-80.78	Gh185-TMB2504	105.25-112.36
MQTL18	A06	FL, FM, FU	4	87.65	78.64-96.66	BNL2691-JESPR163	53.58-108.95
MQTL19	A07	FL, FS, FM, FU, FE	17	53.16	48.63-57.69	NAU5439-DPL0852	85.35-88.45
MQTL20	A07	FL, FS, FM, FU	7	76.17	73.13-79.21	HAU1780-NAU1362	21.54-29.31
MQTL21	A08	FL, FS, FM	3	45.47	31.85-59.09	NAU1017-BNL3556	112.23-116.31
MQTL22	A09	FL, FM, FE	4	14.23	6.35-22.11	BNL1707-CIR079	5.76-10.40
MQTL23	A09	FM, FU, FE	5	31.15	24.12-38.18	BNL0686-DPL0618	1.17-9.41
MQTL24	A09	FM, FU, FE	6	37.44	34.97-39.91	NAU3101-DPL0854	7.55-10.79
MQTL25	A09	FL, FM, FU, FE	6	44.40	42.44-46.36	NAU4021-NAU2832	42.52-50.44
MQTL26	A09	FL, FS, FM, FU, FE	8	49.12	45.49-52.75	NAU2832-TMB2920	50.44-51.32
MQTL27	A09	FS, FM, FU, FE	7	65.03	43.96-86.10	MUSS432-MUCS426	45.76-68.19
MQTL28	A10	FS, FM, FE	5	39.45	32.53-46.37	CIR305-NAU2991	103.64-105.66
MQTL29	A10	FS, FU, FE	3	56.00	54.69-57.31	NAU4008-BNL2960	99.86-100.53
MQTL30	A11	FL, FS, FE	8	34.25	11.78-56.72	MUSS123-NAU3695	1.19-7.83
MQTL31	A11	FL, FS, FM, FE	9	100.83	94.53-107.13	NAU3657-NAU2651	17.43-18.19
MQTL32	A12	FS	2	9.22	5.26-13.18	DPL0469-HAU2486	0.94-1.70
MQTL33	A12	FL, FU, FE	4	38.69	33.36-44.02	BNL3261-CIR167	6.67-8.01
MQTL34	A12	FL, FS, FE	9	50.09	47.84-52.34	DPL0742-HAU1434	75.56-77.44
MQTL35	A12	FL, FS, FU, FE	6	57.52	56.15-58.89	BNL0391-NAU5419	79.41-85.05
MQTL36	A13	FS, FM, FE	4	44.11	41.37-46.85	MUCS404-BNL1495	5.29-6.22
MQTL37	A13	FM, FE	3	54.68	53.05-56.31	DPL0763-CIR096	10.47-14.62
MQTL38	D02	FL, FS, FM, FU, FE	25	18.73	14.78-22.68	NAU2960-CIR084	65.89-66.71
MQTL39	D02	FL, FS, FM, FU, FE	26	39.24	36.94-41.54	NAU5465-NAU4022	62.96-64.01
MQTL40	D02	FL, FS, FM, FU, FE	20	75.51	71.88-79.14	Gh067-MUCS105	26.35-28.22
MQTL41	D01	FL, FM, FU, FE	11	47.55	43.29-51.81	NAU2343-NAU2823	57.98-60.89
MQTL42	D01	FL, FS, FE	8	90.84	89.88-91.80	BNL4095-HAU1427	14.62-14.66
MQTL43	D07	FL, FS, FM, FU, FE	13	35.38	32.09-38.67	NAU3608-HAU1555	48.18-54.56
MQTL44	D07	FL, FS, FM, FU, FE	13	55.73	54.47-56.99	JESPR228-NAU5061	21.37-24.66
MQTL45	D03	FL, FM, FU	10	45.03	39.74-50.32	HAU0880-NAU3805	3.24-4.20
MQTL46	D03	FL, FM, FU, FE	15	50.31	49.07-51.55	BNL2706-BNL3590	28.73-31.95
MQTL47	D03	FL, FM, FU, FE	9	65.82	55.65-75.99	BNL3590-BNL3371	31.96-41.76
MQTL48	D13	FL, FS, FM, FU, FE	14	29.39	26.35-32.43	HAU2497-NAU2697	3.89-3.90
MQTL49	D13	FL, FS, FM, FU, FE	13	39.30	36.04-42.56	NAU3203-Gh678	4.67-13.06
MQTL50	D13	FL, FS, FM, FU, FE	14	61.66	55.65-67.67	NAU3211-DPL0807	36.96-47.47
MQTL51	D05	FE	3	38.98	29.93-48.03	JESPR023-BNL1706	47.10-56.76
MQTL52	D05	FL, FS, FM, FU, FE	13	75.70	66.66-84.74	NAU0986-TMB1282	24.28-29.20
MQTL53	D05	FL, FS, FM, FU, FE	10	86.01	77.06-94.96	NAU4042-DPL0071	21.02-26.95
MQTL54	D10	FL, FS, FM, FU	5	37.97	21.51-54.43	NAU2139-NAU1280	58.15-62.56
MQTL55	D10	FL, FS, FM	5	67.83	64.43-71.23	DPL0026-BNL0169	54.87-56.50
MQTL56	D11	FL, FS, FM, FU	11	78.88	78.11-79.65	BNL1034-DPL0062	5.81-6.88
MQTL57	D04	FS, FM,FU, FE	5	47.74	36.75-58.73	NAU3591-TMB1919	7.37-40.77
MQTL58	D09	FM, FU, FE	4	37.26	31.08-43.44	HAU2382-MUSS300	118.32-5.93
MQTL59	D09	FL, FS, FM, FU, FE	13	51.28	37.16-65.40	HAU2893-NAU6323	22.91-34.72
MQTL60	D09	FL, FS, FM, FU, FE	17	68.45	64.96-71.94	BNL3823-TMB2943	22.91-29.65
MQTL61	D09	FL, FS, FM, FU, FE	17	80.75	78.85-82.65	NAU5350-BNL3031	32.83-33.44
MQTL62	D08	FL, FM, FU, FE	8	32.17	24.44-39.90	DPL0353-JESPR308	63.37-65.27
MQTL63	D08	FL, FS, FM, FU	16	51.53	46.32-56.74	NAU2306-DPL0461	59.84-61.66
MQTL64	D08	FL, FS, FM, FU	14	60.37	57.33-63.41	DPL0461-NAU0478	57.76-59.84
MQTL65	D08	FL, FS, FM, FU	14	66.90	64.47-69.33	NAU0478-NAU4099	57.32-57.76
MQTL66	D08	FS, FU, FE	5	79.51	76.98-82.04	NAU1197-BNL2616	50.79-51.85
MQTL67	D06	FL, FS, FM, FE	7	26.60	9.17-44.03	HAU1324-DPL0282	59.81-62.03
MQTL68	D06	FL, FS, FM, FU, FE	20	59.55	56.92-62.18	NAU1277-NAU2397	55.43-55.56
MQTL69	D06	FL, FS, FM, FU, FE	16	67.10	58.97-75.23	NAU0928-Gh371	44.28-55.55
MQTL70	D06	FL, FS, FM, FU, FE	9	82.72	70.40-95.04	NAU2717-BNL3190	7.21-18.47
MQTL71	D12	FL, FS, FM, FU, FE	10	33.31	29.45-37.17	BNL2578-NAU1274	3.33-4.12
MQTL72	D12	FL, FS, FM, FU, FE	12	43.37	41.51-45.23	JESPR295-NAU1119	6.00-6.40
MQTL73	D12	FL, FS, FM, FU, FE	12	49.62	44.68-54.56	NAU1039-NAU2857	6.09-8.23
MQTL74	D12	FL, FS, FM, FU, FE	11	62.68	57.30-68.06	BNL3510-BNL1669	21.35-31.49

Table 2

Fig. 2

Fig. 3

Fig. 4

Table 3

Candidate genes in MQTL range of cotton fiber quality-related traits"

基因序列号 Gene ID	拟南芥同源基因 Homologous genes in Arabidopsis thaliana	注释信息 Annotation information	棉花相关研究文献 Cotton related research reports literature
Gbar_A05G037160	AT5G39670	可能是钙结合蛋白CML45 Probable calcium-binding protein CML45	[45]
Gbar_A09G014540	AT2G36026	转录抑制因子OFP6 Transcription repressor OFP6	[46-47]
Gbar_D04G012030	AT2G36950	重金属相关异戊二烯化植物蛋白6 Heavy metal-associated isoprenylated plant protein 6
Gbar_D05G026610	AT2G14900	一种富含半胱氨酸的抗菌肽 Snakin-1
Gbar_D06G016480	AT1G61800	葡萄糖-6-磷酸/磷酸转运体2 Glucose-6-phosphate/phosphate translocator 2
Gbar_D09G001430	AT5G39670	可能是钙结合蛋白CML45 Probable calcium-binding protein CML45	[45,48]
Gbar_D13G006970	AT1G69850	NRT1/ PTR蛋白家族 Protein NRT1/ PTR FAMILY
Gbar_A01G009900	AT1G20450	脱水蛋白ERD10 Dehydrin ERD10
Gbar_A01G014270	AT1G23090	可能的硫酸盐转运体3.3 Probable sulfate transporter 3.3
Gbar_A01G016110	AT4G38770	富含脯氨酸的蛋白质2 Proline-rich protein 2
Gbar_A05G035190	AT5G05960	可能是非特异性脂质转移蛋白2 Probable non-specific lipid-transfer protein 2
Gbar_A06G016660	AT5G47550	半胱氨酸蛋白酶抑制剂5 Cysteine proteinase inhibitor 5
Gbar_A12G003760	AT4G38670	肌动蛋白解聚因子5 Actin-depolymerizing factor 5	[49]
Gbar_D01G020370	AT2G41290	蛋白质类缩糖醇合酶2 Protein STRICTOSIDINE SYNTHASE-LIKE 2
Gbar_D03G011950	AT4G24910	不规则木质部15 Protein IRREGULAR XYLEM 15	[50]
Gbar_D05G023780	AT4G08300	相关蛋白At4g08300 WAT1-related protein At4g08300
Gbar_D08G020390	AT5G23860	微管蛋白-9链 Tubulin beta-9 chain
Gbar_D08G020540	AT5G44340	微管蛋白-1链 Tubulin beta-1 chain
Gbar_D08G020920	AT3G07590	小核糖核蛋白SmD1b Small nuclear ribonucleoprotein SmD1b
Gbar_D09G001560	AT5G15230	赤霉素调节蛋白4 Gibberellin-regulated protein 4	[51-52]
Gbar_D03G011120	AT5G51190	乙烯应答转录因子ERF105 Ethylene-responsive transcription factor ERF105	[53-54]
Gbar_D05G035740	AT3G15210	乙烯应答转录因子4 Ethylene-responsive transcription factor 4	[53-54]
Gbar_A01G014360	AT1G23190	葡萄糖磷酸变位酶, 胞质 Phosphoglucomutase, cytoplasmic
Gbar_A05G040040	AT4G39490	烷烃羟化酶MAH1 Alkane hydroxylase MAH1
Gbar_D04G009400	AT2G41970	可能是蛋白激酶At2g41970 Probable protein kinase At2g41970
Gbar_A11G006280	AT1G06280	含LOB结构域的蛋白2 LOB domain-containing protein 2	[55]
Gbar_A05G041330	AT1G24430	维诺任碱合酶 Vinorine synthase
Gbar_A06G018130	AT5G04530	3-酮酰基辅酶a合成酶19 3-ketoacyl-CoA synthase 19	[56-57]
Gbar_A10G022590	AT2G39420	咖啡酰莽草酸酯酶 Caffeoylshikimate esterase
Gbar_D01G021770	AT2G36460	果糖-二磷酸醛缩酶6, 胞质 Fructose-bisphosphate aldolase 6, cytosolic
Gbar_D04G006470	AT1G75270	谷胱甘肽S-转移酶DHAR2 Glutathione S-transferase DHAR2	[58]
Gbar_D07G015210	AT3G61640	阿拉伯半乳聚糖肽20 Arabinogalactan peptide 20

Table 3

Fig. 5

Fig. 6

Fig. S1

Fig. 7

References 68

[1]	Wendel J F, Grover C E.Taxonomy and evolution of the cotton genus, GossypiumIn: Cotton. Madison, WI, USA: American Society of Agronomy, Inc., Crop Science Society of America, Inc., and Soil Science Society of America, Inc., 2015.
[2]	杨君, 马峙英, 王省芬. 棉花纤维品质改良相关基因研究进展. 中国农业科学, 2016, 49: 4310-4322. doi: 10.3864/j.issn.0578-1752.2016.22.005
	Yang J, Ma Z Y, Wang X F. Progress in studies on genes related to fiber quality improvement of cotton. Sci Agric Sin, 2016, 49: 4310-4322 (in Chinese with English abstract). doi: 10.3864/j.issn.0578-1752.2016.22.005
[3]	郭晓豪, 王寒涛, 魏鑫, 张晶晶, 付小康, 马亮, 魏恒玲, 喻树迅. 基于两个陆地棉低世代群体定位纤维品质相关QTL. 棉花学报, 2021, 33: 33-41. doi: 10.11963/1002-7807.gxhysx.20201229
	Guo X H, Wang H T, Wei X, Zhang J J, Fu X K, Ma L, Wei H L, Yu S X. QTL mapping of fiber quality traits in two lower generation populations of upland cotton. Cotton Sci, 2021, 33: 33-41 (in Chinese with English abstract). doi: 10.11963/1002-7807.gxhysx.20201229
[4]	李兴河, 王海涛, 刘存敬, 唐丽媛, 张素君, 蔡肖, 张香云, 张建宏. 利用海岛棉染色体片段导入系定位纤维品质性状QTL. 作物杂志, 2023, (5): 1-9.
	Li X H, Wang H T, Liu C J, Tang L Y, Zhang S J, Cai X, Zhang X Y, Zhang J H. QTL mapping for fiber quality traits using Gossypium barbadense chromosome segment introgression lines. Crops, 2023, (5): 1-9 (in Chinese with English abstract).
[5]	姜骁.中棉所70重组自交系群体纤维品质QTL和优质基因全基因组挖掘. 中国农业科学院博士学位论文, 北京, 2021.
	Jiang X.Genome-wide Mining of Fiber Quality QTL and High-quality Genes in Recombinant Inbred Line Population of China Cotton Institute 70. PhD Dissertation of Chinese Academy of Agricultural Sciences, Beijing, China, 2021 (in Chinese with English abstract).
[6]	Madden L V, Piepho H P, Paul P A. Statistical models and methods for network meta-analysis. Phytopathology, 2016, 106: 792-806. doi: 10.1094/PHYTO-12-15-0342-RVW pmid: 27111798
[7]	Arcade A, Labourdette A, Falque M, Mangin B, Chardon F, Charcosset A, Joets J. BioMercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics, 2004, 20: 2324-2326. doi: 10.1093/bioinformatics/bth230 pmid: 15059820
[8]	左煜昕, 马靖福, 刘媛, 张沛沛, 栗孟飞, 程宏波, 陈思瑾, 幸华, 杨德龙. 小麦穗粒数QTL整合与元分析. 麦类作物学报, 2020, 40: 771-779.
	Zuo Y X, Ma J F, Liu Y, Zhang P P, Li M F, Cheng H B, Chen S J, Xing H, Yang D L. Mapping and meta-analysis of QTLs for the kernel number per spike in wheat (Triticum aestivum L.). J Triticeae Crops, 2020, 40: 771-779 (in Chinese with English abstract).
[9]	闫伟, 李元, 宋茂兴, 张旷野, 孙铭泽, 瞿会, 李凤海, 钟雪梅, 朱敏, 杜万里, 等. 玉米抗灰斑病QTL元分析及其验证. 作物学报, 2016, 42: 758-767. doi: 10.3724/SP.J.1006.2016.00758
	Yan W, Li Y, Song M X, Zhang K Y, Sun M Z, Qu H, Li F H, Zhong X M, Zhu M, Du W L, et al. Meta-analysis and validation of QTL for resistance to gray leaf spot in maize. Acta Agron Sin, 2016, 42: 758-767 (in Chinese with English abstract). doi: 10.3724/SP.J.1006.2016.00758
[10]	程宇坤, 何万龙, 任毅, 耿洪伟. 小麦耐盐性QTL的元分析. 麦类作物学报, 2023, 43: 1319-1325.
	Cheng Y K, He W L, Ren Y, Geng H W. Meta-analysis of QTL for wheat salt tolerance. J Triticeae Crops, 2023, 43: 1319-1325 (in Chinese with English abstract).
[11]	杨鑫雷, 周晓栋, 王省芬, 李志坤, 张艳, 刘恒蔚, 吴立强, 张桂寅, 马峙英. 棉花纤维品质性状QTL的元分析. 棉花学报, 2013, 25: 503-509. doi: 10.11963/cs130605
	Yang X L, Zhou X D, Wang X F, Li Z K, Zhang Y, Liu H W, Wu L Q, Zhang G Y, Ma Z Y. Quantitative traits locus meta-analysis of fiber quality traits in cotton. Cotton Sci, 2013, 25: 503-509 (in Chinese with English abstract).
[12]	Said J I, Lin Z X, Zhang X L, Lin Z X, Zhang X L, Song M Z, Zhang J F. A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton. BMC Genomics, 2013, 14: 776. doi: 10.1186/1471-2164-14-776 pmid: 24215677
[13]	Said J I, Song M Z, Wang H T, Lin Z X, Zhang X L, Fang D D, Zhang J F. A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations. Mol Genet Genomics, 2015, 290: 1003-1025.
[14]	Darvasi A, Soller M. A simple method to calculate resolving power and confidence interval of QTL map location. Behav Genet, 1997, 27: 125-132. doi: 10.1023/a:1025685324830 pmid: 9145551
[15]	Blenda A, Fang D D, Rami J F, Garsmeur O, Luo F, Lacape J M. A high-density consensus genetic map of tetraploid cotton that integrates multiple component maps through molecular marker redundancy check. PLoS One, 2012, 7: e45739.
[16]	Glass G V. Primary, secondary, and meta-analysis of research. Educ Res, 1976, 5: 3.
[17]	Duan Y J, Chen Q, Chen Q J, Zheng K, Cai Y S, Long Y L, Zhao J Y, Guo Y P, Sun F L, Qu Y Y.Analysis of transcriptome data and quantitative trait loci enables the identification of candidate genes responsible for fiber strength in Gossypium barbadense. G3 (Bethesda), 2022, 12: jkac167.
[18]	Goldberg D H, Victor J D, Gardner E P, Gardner D. Spike train analysis toolkit: enabling wider application of information-theoretic techniques to neurophysiology. Neuroinformatics, 2009, 7: 165-178. doi: 10.1007/s12021-009-9049-y pmid: 19475519
[19]	Kroll K W, Mokaram N E, Pelletier A R, Frankhouser D E, Westphal M S, Stump P A, Stump C L, Bundschuh R, Blachly J S, Yan P. Quality control for RNA-seq (QuaCRS): an integrated quality control pipeline. Cancer Inform, 2014, 13: 7-14.
[20]	Bolger A M, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics, 2014, 30: 2114-2120. doi: 10.1093/bioinformatics/btu170 pmid: 24695404
[21]	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 pmid: 27560171
[22]	Wang M J, Tu L L, Yuan D J, Zhu D, Shen C, Li J Y, Liu F Y, Pei L L, Wang P C, Zhao G N, et al. Reference genome sequences of two cultivated allotetraploid cottons, Gossypium hirsutum and Gossypium barbadense. Nat Genet, 2019, 51: 224-229.
[23]	Liao Y, Smyth G K, Shi W. FeatureCounts: an efficient general-purpose program for assigning sequence reads to genomic features. Bioinformatics, 2014, 30: 923-930.
[24]	邓晓英.杂交棉中棉所70产量和纤维品质性状的QTL定位. 山西农业大学硕士学位论文, 山西太谷, 2016.
	Deng X Y.Identification of QTL for Yield and Fiber Quality Traits in Hybrid Cotton CCRI 70 MS Thesis of Shanxi Agricultural University, Taigu, Shanxi, China, 2016 (in Chinese with English abstract).
[25]	郭丽雪, 石玉真, 李俊文, 龚举武, 刘爱英, 商海红, 巩万奎, 陈婷婷, 葛群, 孙杰, 等. 陆海渐渗系分离群体(F₂)产量和纤维品质性状的QTL定位. 棉花学报, 2015, 27: 550-560. doi: 10.11963/issn.1002-7807.201506007
	Guo L X, Shi Y Z, Li J W, Gong J W, Liu A Y, Shang H H, Gong W K, Chen T T, Ge Q, Sun J, et al. Mapping QTL of fiber yield and quality traits in F₂ populations of chromosome segment substitution lines from Gossypium hirsutum × Gossypium barbadense Cotton Sci, 2015, 27: 550-560 (in Chinese with English abstract).
[26]	何蕊.陆地棉中棉所36背景的海岛棉染色体片段代换系(BC₅F₃、BC₅F_3:4、BC₅F_3:5)的评价及QTL定位. 西南大学硕士学位论文, 重庆, 2014.
	He R. The Evaluation and Identifying QTL of Chromosome Segment Substitution Lines (BC₅F₃, BC₅F_3:4, C₅F_3:5) in CCRI36 Background of Gossypium hirsutum L. MS Thesis of Southwest University, Chongqing, China, 2014 (in Chinese with English abstract).
[27]	江晗.陆地棉超高强纤维品质与产量相关性状的QTL定位. 南京农业大学硕士学位论文, 江苏南京, 2013.
	Jiang H. QTL Mapping of Fiber Qualities and Yield Components in Ultra-high Strength Upland Cotton. MS Thesis of Nanjing Agricultural University, Nanjing, Jiangsu, China, 2013 (in Chinese with English abstract).
[28]	焦梦佳. 利用棉花优质渐渗系进行纤维长度及其相关性状QTL的定位. 山东师范大学硕士学位论文, 山东济南, 2020.
	Jiao M J. QTL Mapping for Fiber Length and Other Related Traits of Cotton Using Elite Germplasm with Introgression of Gossypium barbadense. MS Thesis of Shandong Normal University, Jinan, Shandong, China, 2020 (in Chinese with English abstract).
[29]	李爱国.AB-QTL法定位海岛棉产量及纤维品质基因. 湖南农业大学硕士学位论文, 湖南长沙, 2008.
	Li A G. QTL Analysis of Fiber Yield and Quality Using Gossypium hirsutum × G. Barbadense Advanced Backcross Populations. MS Thesis of Hunan Agricultural University, Changsha, Hunan, China, 2008 (in Chinese with English abstract).
[30]	Liang Q Z, Hu C, Hua H, Li Z H, Hua J P. Construction of a linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.). Chin Sci Bull, 2013, 58: 3233-3243.
[31]	梁燕.早熟陆地棉染色体片段代换系的构建及QTL初步定位. 中国农业科学院硕士学位论文, 北京, 2010.
	Liang Y. Construction of Chromosome Segment Substitution Lines and Primary QTL Mapping in Early-maturing Upland Cotton. MS Thesis of Chinese Academy of Agricultural Sciences, Beijing, China, 2010 (in Chinese with English abstract).
[32]	李超, 李志坤, 谷淇深, 杨君, 柯会锋, 吴立强, 王国宁, 张艳, 吴金华, 张桂寅, 等. 海岛棉CSSLs分子评价及纤维品质、产量性状QTL定位. 作物学报, 2018, 44: 1114-1126. doi: 10.3724/SP.J.1006.2018.01114
	Li C, Li Z K, Gu Q S, Yang J, Ke H F, Wu L Q, Wang G N, Zhang Y, Wu J H, Zhang G Y, et al. Molecular evaluation for chromosome segment substitution lines of Gossypium barbadense and QTL mapping for fiber quality and yield. Acta Agron Sin, 2018, 44: 1114-1126 (in Chinese with English abstract).
[33]	Liu X Y, Teng Z H, Wang J X, Wu T T, Zhang Z Q, Deng X P, Fang X M, Tan Z Y, Ali I, Liu D X, et al. Enriching an intraspecific genetic map and identifying QTL for fiber quality and yield component traits across multiple environments in Upland cotton (Gossypium hirsutum L.). Mol Genet Genomics, 2017, 292: 1281-1306.
[34]	秦永生.陆地棉重要农艺性状QTL定位研究. 南京农业大学硕士学位论文, 江苏南京, 2009.
	Qin Y S. Research on QTL Mapping for Agronomic Traits in Upland Cotton. MS Thesis of Nanjing Agricultural University, Nanjing, Jiangsu, China, 2009 (in Chinese with English abstract).
[35]	Sun F D, Zhang J H, Wang S F, Gong W K, Shi Y Z, Liu A Y, Li J W, Gong J W, Shang H H, Yuan Y L. QTL mapping for fiber quality traits across multiple generations and environments in upland cotton. Mol Breed, 2012, 30: 569-582.
[36]	Wang F R, Xu Z Z, Sun R, Gong Y C, Liu G D, Zhang J X, Wang L M, Zhang C Y, Fan S J, Zhang J. Genetic dissection of the introgressive genomic components from Gossypium barbadense L. that contribute to improved fiber quality in Gossypium hirsutum L. Mol Breed, 2013, 32: 547-562.
[37]	王娟, 郭旺珍, 张天真. 渝棉1号优质纤维QTL的标记与定位. 作物学报, 2007, 33: 1915-1921.
	Wang J, Guo W Z, Zhang T Z.QTL mapping for fiber quality properties in cotton cultivar Yumian 1. Acta Agron Sin, 2007, 33: 1915-1921 (in Chinese with English abstract).
[38]	王义青.陆地棉优异纤维品质及产量性状的QTL挖掘. 中国农业科学院硕士学位论文, 北京, 2010.
	Wang Y Q. Identification of QTLs for Yield and Elite Fiber Quality Traits in Upland Cotton (Gossypium hirsutum L.). MS Thesis of Chinese Academy of Agricultural Sciences, Beijing, China, 2010 (in Chinese with English abstract).
[39]	杨芮, 李鹏涛, 肖向辉, 李俊文, 龚举武, 刘爱英, 巩万奎, 商海红, 葛群, 卢全伟, 等. 棉花陆海渐渗系次级分离群体产量和纤维品质QTL定位. 棉花学报, 2022, 34: 401-415. doi: 10.11963/cs20200073
	Yang R, Li P T, Xiao X H, Li J W, Gong J W, Liu A Y, Gong W K, Shang H H, Ge Q, Lu Q W, et al. QTL mapping for yield and fiber quality traits in secondary segregate population of cotton chromosome segment introgression lines. Cotton Sci, 2022, 34: 401-415 (in Chinese with English abstract). doi: 10.11963/cs20200073
[40]	杨昶, 郭旺珍, 张天真. 陆地棉抗黄萎病、纤维品质和产量等农艺性状的QTL定位. 分子植物育种, 2007, 5: 797-805.
	Yang C, Guo W Z, Zhang T Z. QTL mapping for resistance to Verticillium wilt, fiber quality and yield traits in upland cotton (Gossypium hirsutum L.). Mol Plant Breed, 2007, 5: 797-805 (in Chinese with English abstract).
[41]	杨泽茂.陆地棉染色体片段代换系的构建及QTL定位初探. 湖南农业大学硕士学位论文, 湖南长沙, 2009.
	Yang Z M. Development of Chromosome Segment Substitution Lines and Primary Identification of QTL in Upland Cotton (Gossypium hirsutum). MS Thesis of Hunan Agricultural University, Changsha, Hunan, China, 2009 (in Chinese with English abstract).
[42]	Chen Y, Liu G D, Ma H H, Song Z Q, Zhang C Y, Zhang J X, Zhang J H, Wang F R, Zhang J. Identification of introgressed alleles conferring high fiber quality derived from Gossypium barbadense L. in secondary mapping populations of G. hirsutum L. Front Plant Sci, 2018, 9: 1023. doi: 10.3389/fpls.2018.01023 pmid: 30073008
[43]	Yu J W, Yu S X, Gore M, Wu M, Zhai H H, Li X L, Fan S L, Song M Z, Zhang J F. Identification of quantitative trait loci across interspecific F₂, F_2:3 and testcross populations for agronomic and fiber traits in tetraploid cotton. Euphytica, 2013, 191: 375-389.
[44]	周晓栋.棉纤维品质主效QTL的挖掘与验证. 河北农业大学硕士学位论文, 河北保定, 2013.
	Zhou X D. Mining and Identification of Major QTL for Fiber Quality in Allotetraploid Cotton. MS Thesis of Hebei Agricultural University, Baoding, Hebei, China, 2013 (in Chinese with English abstract).
[45]	Nnaemeka Ekene Vitalis.GhC/VIF2, GhCML45和GhMYB308调控陆地棉纤维发育的机理探讨. 浙江理工大学硕士学位论文, 浙江杭州, 2022.
	Nnaemeka E V. Exploring the Mechanism of GhC/VIF2, GhCML45 and GhMYB308 Regulating the Fiber Development in Upland Cotton. MS Thesis of Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China, 2022 (in Chinese with English abstract).
[46]	窦玲玲, 田再垄, 李婷婷, 马雄风, 肖光辉. 陆地棉OFP基因家族的全基因组鉴定及表达分析. 中国科学: 生命科学, 2022, 52: 510-522.
	Dou L L, Tian Z L, Li T T, Ma X F, Xiao G H. Genome-wide identification and expression analysis of OFP gene family in upland cotton. Sci Sin Vitae, 2022, 52: 510-522 (in Chinese with English abstract).
[47]	张丽雅.棉花黄萎病抗性相关基因GhPrx14的功能分析和棉花OFP家族的生物信息学分析. 郑州大学硕士学位论文, 河南郑州, 2022.
	Zhang L Y. Functional Analysis of Cotton Verticillium Wilt Resistance Related Gene GhPrxl4 and Bioinformatics Analysis of OFP Family in Cotton. MS Thesis of Zhengzhou University, Zhengzhou, Henan, China, 2022 (in Chinese with English abstract).
[48]	王艳鸽, 孙全, 李祖亮. 棉花GbCML24基因的克隆及其功能分析. 分子植物育种, 2019, 17: 4873-4882.
	Wang Y G, Sun Q, Li Z L. Cloning and functional analysis of cotton (Gossypium barbadense) GbCML24 gene. Mol Plant Breed, 2019, 17: 4873-4882 (in Chinese with English abstract).
[49]	张成伟, 郭林林, 王秀兰, 张辉, 石海燕, 许文亮, 李学宝. 4个棉花ADF基因的分子鉴定及其差异表达. 遗传学报, 2007, 34: 347-354.
	Zhang C W, Guo L L, Wang X L, Zhang H, Shi H Y, Xu W L, Li X B. Molecular characterization of four ADF genes differentially expressed in cotton. J Genet Genom, 2007, 34: 347-354 (in Chinese with English abstract).
[50]	Chen F, Guo Y J, Chen L, Gan X L, Liu M, Li J, Xu W L. Global identification of genes associated with xylan biosynthesis in cotton fiber. J Cotton Res, 2020, 3: 25.
[51]	李颖, 彭佳泺, 巨吉生, 王彩香, 宿俊吉. 响应赤霉素GA3调控陆地棉开花关键基因GhGASA9和GhGASA14的鉴定. 见: 第二十届中国作物学会学术年会论文摘要集. 北京: 中国作物学会, 2023. p 1.
	Li Y, Peng J L, Ju J S, Wang J J, Su J J. Identification of key flowering genes GhGASA9 and GhGASA14 in response to gibberellin GA3 regulation in upland cotton. In: Abstracts of the 20th Annual Meeting of the Crop Science Society of China. Beijing: the Crop Science Society of China, 2023. p 1 (in Chinese with English abstract).
[52]	Qiao K K, Ma C K, Lyu J Y, Zhang C J, Ma Q F, Fan S L. Identification, characterization, and expression profiles of the GASA genes in cotton. J Cotton Res, 2021, 4: 7.
[53]	高雅楠.GhERF41调控初生壁与次生壁合成的研究. 郑州大学硕士学位论文, 河南郑州, 2022.
	Gao Y N. Study on the Roles of GhERF41 in Regulating Biosynthesis of Primary Cell Wall and Secondary Cell Wall. MS Thesis of Zhengzhou University, Zhengzhou, Henan, China, 2022 (in Chinese with English abstract).
[54]	何绍萍.GhERF108调控棉纤维细胞次生壁发育的机制研究. 华中师范大学硕士学位论文, 湖北武汉, 2020.
	He S P. The Role of GhERF108 in Regulating Secondary Cell Wall Synthesis of Cotton Fibers. MS Thesis of Central China Normal University, Wuhan, Hubei, China, 2020 (in Chinese with English abstract).
[55]	王晔.亚洲棉LBDs同源基因的克隆及应用. 华中农业大学硕士学位论文, 湖北武汉, 2015.
	Wang Y. Molecular Cloning and Application of LBDs from Cotton (Gossypium arboreum L.). MS Thesis of Huazhong Agricultural University, Wuhan, Hubei, China, 2015 (in Chinese with English abstract).
[56]	汤孟玲.GbKCS14响应温度调控棉纤维发育的分子机理. 浙江农林大学硕士学位论文, 浙江杭州, 2019.
	Tang M L. Molecular Mechanism of GbKCS14 Responsive to Temperature in Regulation of Cotton Fiber Development. MS Thesis of Zhejiang A&F University, Hangzhou, Zhejiang, China, 2019 (in Chinese with English abstract).
[57]	杜雪琼.棉花纤维发育相关基因GhKCS13的克隆与功能验证. 华中农业大学硕士学位论文, 湖北武汉, 2011.
	Du X Q. Cloning and Function Analysis of GhKCS13 in Cotton Fiber. MS Thesis of Huazhong Agricultural University, Wuhan, Hubei, China, 2011 (in Chinese with English abstract).
[58]	闫飞林.棉花纤维起始相关长链非编码RNA的功能鉴定. 华中农业大学硕士学位论文, 湖北武汉, 2019.
	Yan F L. The Functional Identification of Long non-coding RNA Related to Cotton Fiber Initial. MS Thesis of Huazhong Agricultural University, Wuhan, Hubei, China, 2019 (in Chinese with English abstract).
[59]	Tan H Z, Tang B H, Sun M L, Yin Q L, Ma Y Z, Li J Y, Wang P C, Li Z H, Zhao G N, Wang M J, et al. Identification of new cotton fiber-quality QTL by multiple genomic analyses and development of markers for genomic breeding. Crop J, 2024, 12: 866-879. doi: 10.1016/j.cj.2024.03.014
[60]	Wang M J, Qi Z Y, Thyssen G N, Naoumkina M, Jenkins J N, McCarty J C, Xiao Y J, Li J Y, Zhang X L, Fang D D. Genomic interrogation of a MAGIC population highlights genetic factors controlling fiber quality traits in cotton. Commun Biol, 2022, 5: 60-60. doi: 10.1038/s42003-022-03022-7 pmid: 35039628
[61]	李娜, 王鹏, 孔斌雪, 马靖福, 窦佳欣, 陈涛, 张沛沛, 刘媛, 杨德龙. 小麦品质性状QTL元分析及候选基因挖掘. 农业生物技术学报, 2024, 32: 11-25.
	Li N, Wang P, Kong B X, Ma J F, Dou J X, Chen T, Zhang P P, Liu Y, Yang D L. Meta-analysis of QTL and mining of candidate genes for quality traits in wheat (Triticum aestivum). J Agric Biotechnol, 2024, 32: 11-25 (in Chinese with English abstract).
[62]	邵晓宇, 宋希云, 潘顺祥, 赵美爱. 玉米穗粗性状的全基因组关联分析及QTL元分析. 植物生理学报, 2017, 53: 2091-2102.
	Shao X Y, Song X Y, Pan S X, Zhao M A. Genome-wide association study and Meta-QTL analysis of ear diameter trait in maize. Plant Physiol J, 2017, 53: 2091-2102 (in Chinese with English abstract).
[63]	Xu S D, Pan Z Y, Yin F F, Yang Q Y, Lin Z X, Wen T W, Zhu L F, Zhang D W, Nie X H. Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data. J Cotton Res, 2020, 3: 34.
[64]	何永辉.棉花钙调素与类钙调素基因家族表达分析及棉花纤维离子组测定. 华中农业大学硕士学位论文, 湖北武汉, 2015.
	He Y H. Expression Analysis of Calmodulin and Calmodulin-like Gene Family and Ionome Analysis of Cotton Fiber. MS Thesis of Huazhong Agricultural University, Wuhan, Hubei, China, 2015 (in Chinese with English abstract).
[65]	Bao Y, Wei Y Y, Liu Y L, Gao J J, Cheng S, Liu G Q, You Q, Liu P, Lu Q W, Li P T, et al. Genome-wide chromatin accessibility landscape and dynamics of transcription factor networks during ovule and fiber development in cotton. BMC Biol, 2023, 21: 165. doi: 10.1186/s12915-023-01665-4 pmid: 37525156
[66]	Olas J J, Apelt F, Annunziata M G, John S, Richard S I, Gupta S, Kragler F, Balazadeh S, Mueller-Roeber B.Primary carbohydrate metabolism genes participate in heat-stress memory at the shoot apical meristem of Arabidopsis thaliana. Mol Plant, 2021, 14: 1508-1524.
[67]	Yu S H, Wu J X, Sun Y M, Zhu H F, Sun Q G, Zhao P C, Huang R S, Guo Z F. A calmodulin-like protein (CML10) interacts with cytosolic enzymes GSTU8 and FBA6 to regulate cold tolerance. Plant Physiol, 2022, 190: 1321-1333. doi: 10.1093/plphys/kiac311 pmid: 35751606
[68]	Tian X H, Ji M Y, You J Q, Zhang Y Q, Lindsey K, Zhang X L, Tu L L, Wang M J. Synergistic interplay of redox homeostasis and polysaccharide synthesis promotes cotton fiber elongation. Plant J, 2024, 118: 405-422.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 10

[1]	Li Shaoqing, Li Yangsheng, Wu Fushun, Liao Jianglin, Li Damo. Optimum Fertilization and Its Corresponding Mechanism under Complete Submergence at Booting Stage in Rice[J]. Acta Agronomica Sinica, 2002, 28(01): 115 -120 .
[2]	Wang Lanzhen;Mi Guohua;Chen Fanjun;Zhang Fusuo. Response to Phosphorus Deficiency of Two Winter Wheat Cultivars with Different Yield Components[J]. Acta Agron Sin, 2003, 29(06): 867 -870 .
[3]	YANG Jian-Chang;ZHANG Jian-Hua;WANG Zhi-Qin;ZH0U Qing-Sen. Changes in Contents of Polyamines in the Flag Leaf and Their Relationship with Drought-resistance of Rice Cultivars under Water Deficiency Stress[J]. Acta Agron Sin, 2004, 30(11): 1069 -1075 .
[4]	Yan Mei;Yang Guangsheng;Fu Tingdong;Yan Hongyan. Studies on the Ecotypical Male Sterile-fertile Line of Brassica napus L.Ⅲ. Sensitivity to Temperature of 8-8112AB and Its Inheritance[J]. Acta Agron Sin, 2003, 29(03): 330 -335 .
[5]	Wang Yongsheng;Wang Jing;Duan Jingya;Wang Jinfa;Liu Liangshi. Isolation and Genetic Research of a Dwarf Tiilering Mutant Rice[J]. Acta Agron Sin, 2002, 28(02): 235 -239 .
[6]	WANG Li-Yan;ZHAO Ke-Fu. Some Physiological Response of Zea mays under Salt-stress[J]. Acta Agron Sin, 2005, 31(02): 264 -268 .
[7]	TIAN Meng-Liang;HUNAG Yu-Bi;TAN Gong-Xie;LIU Yong-Jian;RONG Ting-Zhao. Sequence Polymorphism of waxy Genes in Landraces of Waxy Maize from Southwest China[J]. Acta Agron Sin, 2008, 34(05): 729 -736 .
[8]	HU Xi-Yuan;LI Jian-Ping;SONG Xi-Fang. Efficiency of Spatial Statistical Analysis in Superior Genotype Selection of Plant Breeding[J]. Acta Agron Sin, 2008, 34(03): 412 -417 .
[9]	WANG Yan;QIU Li-Ming;XIE Wen-Juan;HUANG Wei;YE Feng;ZHANG Fu-Chun;MA Ji. Cold Tolerance of Transgenic Tobacco Carrying Gene Encoding Insect Antifreeze Protein[J]. Acta Agron Sin, 2008, 34(03): 397 -402 .
[10]	ZHENG Xi;WU Jian-Guo;LOU Xiang-Yang;XU Hai-Ming;SHI Chun-Hai. Mapping and Analysis of QTLs on Maternal and Endosperm Genomes for Histidine and Arginine in Rice (Oryza sativa L.) across Environments[J]. Acta Agron Sin, 2008, 34(03): 369 -375 .

Meta-analysis of QTL and identification of candidate genes for fiber quality in cotton

RichHTML438

PDF

Abstract

Cite this article

share this article

Figures/Tables 11

References 68

Related Articles 15

Metrics

Comments

Recommended 10

[1]	WANG Ya-Wen, QI Zheng-Yang, YOU Jia-Qi, NIE Xin-Hui, CAO Juan, YANG Xi-Yan, TU Li-Li, ZHANG Xian-Long, WANG Mao-Jun. Preparation of cotton 60K functional locus gene chip and its application to genetic research [J]. Acta Agronomica Sinica, 2025, 51(5): 1178-1188.
[2]	XIE Zhang-Shu, XIE Xue-Fang, TU Xiao-Ju, LIU Ai-Yu, DONG He-Zhong, ZHOU Zhong-Hua. Research progress in phytohormone regulation of square and boll shedding in cotton [J]. Acta Agronomica Sinica, 2025, 51(1): 1-29.
[3]	XIN Ming-Hua, MI Ya-Di, WANG Guo-Ping, LI Xiao-Fei, LI Ya-Bing, DONG He-Lin, HAN Ying-Chun, FENG Lu. Effect of row spacing configuration and density regulation on dry matter production and yield in cotton [J]. Acta Agronomica Sinica, 2025, 51(1): 221-232.
[4]	LI Chao, FU Xiao-Qiong. Comprehensive evaluation of regional trial varieties of medium mature hybrid cotton in the Yellow River Basin based on GYT biplot [J]. Acta Agronomica Sinica, 2025, 51(1): 30-43.
[5]	AI Sha, LI Sha, FANG Zhi-Wei, LI Lun, LI Tian-Tian, GAO Li-Fen, CHEN Li-Hong, XIAO Hua-Feng, WAN Ren-Jing, YAN Duo-Zi, WU Xing-Ting, PENG Hai, HAN Rui-Xi, ZHOU Jun-Fei. Development and application of cotton MNP marker for fingerprint cons- truction [J]. Acta Agronomica Sinica, 2024, 50(9): 2267-2278.
[6]	LI Chang-Xi, DONG Zhan-Peng, GUAN Yong-Hu, LIU Jin-Wei, LI Hang, MEI Yong-Jun. Genetic contribution and decision coefficient analysis of agronomic characters and lint yield traits of upland cotton in southern Xinjiang [J]. Acta Agronomica Sinica, 2024, 50(6): 1486-1502.
[7]	XU Ze, WU Xin-Ling, LIU Zhen-Yu, LI Han-Jia, LENG Xin-Hua, WU Tian-Fan, CHEN Yuan, ZHANG Xiang, CHEN De-Hua. Effects of planting density with nitrogen rate on regulation of nitrogen utilization in summer direct seeded cotton [J]. Acta Agronomica Sinica, 2024, 50(6): 1584-1596.
[8]	LI Hang, LIU Li, HUANG Qian, LIU Wen-Hao, SI Ai-Jun, KONG Xian-Hui, WANG Xu-Wen, ZHAO Fu-Xiang, MEI Yong-Jun, YU Yu. Identification and screening of salt tolerance of cotton germplasm resources at germination stage [J]. Acta Agronomica Sinica, 2024, 50(5): 1147-1157.
[9]	LE Yu, WANG Tao, ZHANG Xian-Long, LIN Zhong-Xu. Screening of regeneration capacity and genetic transformation efficiency in recombinant inbred lines of Gossypium hirsutum L. [J]. Acta Agronomica Sinica, 2024, 50(5): 1172-1180.
[10]	LIU Cheng-Min, MEN Ya-Qi, QIN Du-Lin, YAN Xiao-Yu, ZHANG Le, MENG Hao, SU Xun-Ya, SUN Xue-Zhen, SONG Xian-Liang, MAO Li-Li. Effects of nitrogen application rate on cotton yield and nitrogen utilization under long-term straw return to the field [J]. Acta Agronomica Sinica, 2024, 50(4): 1043-1052.
[11]	DAI Yu-Yang, YUE Ye, LIU Zhen-Yu, HE Run, LIU Yu-Ting, ZHANG Xiang, CHEN De-Hua, CHEN Yuan. Effects of low temperature on the expression of insecticidal protein in Bt cotton fibers and its physiological mechanism [J]. Acta Agronomica Sinica, 2024, 50(3): 709-720.
[12]	KE Hui-Feng, SU Hong-Mei, SUN Zheng-Wen, GU Qi-Shen, YANG Jun, WANG Guo-Ning, XU Dong-Yong, WANG Hong-Zhe, WU Li-Qiang, ZHANG Yan, ZHANG Gui-Yin, MA Zhi-Ying, WANG Xing-Fen. Identification for yield and fiber quality traits and evaluation of molecular markers in modern cotton varieties [J]. Acta Agronomica Sinica, 2024, 50(2): 280-293.
[13]	LI Zhi-Kun, JIA Wen-Hua, ZHU Wei, LIU Wei, MA Zong-Bin. Effects of nitrogen fertilizer and DPC combined application on temporal distribution of cotton yield and fiber quality [J]. Acta Agronomica Sinica, 2024, 50(2): 514-528.
[14]	WANG Yong-Hui, HE Jiang, ZHANG Xiang-Xiang, LOU Xiang-Di, GAO Jing, SUN Yan-Ru, CAO Ting, SHI Yang. Mechanism of reduced insecticidal protein expression in Bt cotton under low-iron stress based on transcriptome analysis [J]. Acta Agronomica Sinica, 2024, 50(12): 2971-2983.
[15]	SHANG Hong-Yan, PU Jing, KE Hui-Feng, GU Qi-Shen, SUN Zheng-Wen, YANG Jun, WANG Guo-Ning, ZHANG Yan, LU Huai-Yu, XU Dong-Yong, WU Li-Qiang, MA Zhi-Ying, WANG Xing-Fen, WU Jin-Hua. Genetic diversity analysis and evaluation of domestic and international cotton germplasm resources under different planting environments [J]. Acta Agronomica Sinica, 2024, 50(10): 2528-2537.