
中国水稻科学 ›› 2026, Vol. 40 ›› Issue (3): 312-326.DOI: 10.16819/j.1001-7216.2026.250207
王洋洋1,2, 杨传铭1,2, 张喜娟2,4, 杨贤莉2,4, 王立志2,4, 崔士泽2,4, 许鑫凯1,2, 李红宇1,*(
), 姜树坤2,3,4,*(
)
收稿日期:2025-02-18
修回日期:2025-04-16
出版日期:2026-05-10
发布日期:2026-05-13
通讯作者:
*email: shukunjiang@haas.cn;基金资助:
WANG Yangyang1,2, YANG Chuanming1,2, ZHANG Xijuan2,4, YANG Xianli2,4, WANG Lizhi2,4, CUI Shize2,4, XU Xinkai1,2, LI Hongyu1,*(
), JIANG Shukun2,3,4,*(
)
Received:2025-02-18
Revised:2025-04-16
Online:2026-05-10
Published:2026-05-13
摘要:
【目的】挖掘鉴定耐冷基因进而选育耐冷品种是解决水稻低温冷害难题的最简单、直接和有效的手段之一。利用Meta-QTL分析可以有效整合不同遗传背景下控制水稻耐冷等农艺性状的基因位点,提高候选基因定位的精度和可靠性,为水稻耐冷基因的克隆和育种利用提供数据支撑。【方法】本研究收集并整理了38项独立研究中的353个水稻苗期耐冷相关QTL,利用BioMercator 4.2软件对QTL关键信息进行整合分析。并利用GO分析和KEGG分析对鉴定的Meta-QTL进行候选基因挖掘。【结果】共鉴定出了82个Meta-QTL,其中67个(81.71%)的置信区间小于1 Mb,共包含9282个注释基因,包括已报道的25个苗期耐冷基因。利用GO分析筛选出了99、230和119个分别与非生物逆境应答、环境胁迫反应和转录因子相关的基因。进一步利用KEGG富集筛选出27、69和9个分别与非生物逆境应答、胁迫反应和转录因子相关的差异显著性基因。【结论】对353个苗期耐冷QTL进行整合分析鉴定出82个苗期耐冷Meta-QTL,GO分析确定了448个候选基因,KEGG进一步确定了105个差异表达候选基因。上述结果为水稻苗期耐冷的分子标记辅助育种和基因克隆提供有用的信息。
王洋洋, 杨传铭, 张喜娟, 杨贤莉, 王立志, 崔士泽, 许鑫凯, 李红宇, 姜树坤. 水稻苗期耐冷性Meta-QTL分析及候选基因预测[J]. 中国水稻科学, 2026, 40(3): 312-326.
WANG Yangyang, YANG Chuanming, ZHANG Xijuan, YANG Xianli, WANG Lizhi, CUI Shize, XU Xinkai, LI Hongyu, JIANG Shukun. Meta-QTL Analysis and Prediction of Candidate Genes for Cold Tolerance at Seedling Stage in Rice[J]. Chinese Journal OF Rice Science, 2026, 40(3): 312-326.
| 作图群体亲本 Mapping population parents | 群体类型 Population type | 群体大小 Number of population | 作图方法 Mapping method | QTL 数目 Number of QTLs | 参考文献 Reference |
|---|---|---|---|---|---|
| ZYQ8, JX17 | DH | 128 | IM | 4 | [ |
| M-202, IR50 | RIL | 191 | IM | 15 | [ |
| 圭630, 02428 | DH | 81 | CIM | 3 | [ |
| Lemont, 特青 | RIL | 139 | CIM | 5 | [ |
| 密阳23, 吉冷1号 | F2:3 | 200 | IM | 17 | [ |
| AAV002863, Zhenshan 97B | DH | 193 | IM | 5 | [ |
| Dular, Lemont | RIL | 123 | CIM | 5 | [ |
| Asominori, IR24 | RIL | 71 | CIM | 3 | [ |
| 越光/Kasalath, 越光 | BIL | 182 | CIM | 4 | [ |
| DXWR, 南京11 | BC, F2:3 | 144 | CIM | 2 | [ |
| Nipponbare, Kasalath;Nipponbare/Kasalath//Nipponbare | BIL | 98 | CIM | 3 | [ |
| Geumobyeo, IR66160-121-4-4-2 | RIL | 153 | CIM | 2 | [ |
| Xiushui 09, IR2061 | RIL | 240 | ND | 4 | [ |
| GC2, IL112 | F2:3 | 394 | IM | 7 | [ |
| Lijiangxintuanheigu, Sanhuangzhan-2 | RIL | 204 | ND | 15 | [ |
| HGKN, Hokuriku-142 or Yume-Toiro | RIL | 162 | IM | 9 | [ |
| Jinbu, BR29 | RIL | 123 | CIM | 6 | [ |
| Milyang 23, Hapcheonaengmi 3 | F2 | 98 | ND | 4 | [ |
| Xiang 743, Katy | F2:3 | 190 | CIM, MIM | 7 | [ |
| Xiang 743, Dular | F2:3 | 181 | IM, MIM | 5 | [ |
| DXWR, XQZB | BIL | 94 | IM | 15 | [ |
| IR24, Asominori | RIL | 213 | ICIM | 3 | [ |
| Xieqingzao B, DXWR | BIL | 229 | CIM | 19 | [ |
| BR1, Hbj.BVI | F2:3 | 151 | ICIM | 6 | [ |
| XB, XB/DWR | BIL | 202 | IM, CIM, MIM | 2 | [ |
| XB, XB/DWR 亚群 | BIL | 138 | IM, CIM, MIM | 3 | [ |
| SN265, 七山占 | RIL | 118 | ICIM | 2 | [ |
| SN265, IR30 | RIL | 218 | ICIM | 2 | [ |
| Gr89-1, Shuhui 527 | RIL | 286 | IM | 3 | [ |
| 93-11, Nipponbare | F2:3 | 114 | CIM | 7 | [ |
| 93-11, NIL11 | NIL | 229 | CIM | 2 | [ |
| BR1, BR18 | F2:3 | 856 | CIM, IM, SMA | 5 | [ |
| 泸恢 99, SN625 | RIL | 144 | ICIM | 1 | [ |
| DN422, KY131 | F2:3 | 2570 | CIM | 2 | [ |
| DXWR, SN625 | BIL | 140 | ND | 114 | [ |
| National germplasms | NG | 1992 | GWAS | 9 | [ |
| 丽江新团黑谷, 沈农265 | RIL | 144 | ICIM | 4 | [ |
| National germplasms | NG | 204 | GWAS | 29 | [ |
表1 水稻苗期耐冷QTL信息汇总
Table 1. Summary of QTLs associated with cold tolerance at the seedling stage in rice
| 作图群体亲本 Mapping population parents | 群体类型 Population type | 群体大小 Number of population | 作图方法 Mapping method | QTL 数目 Number of QTLs | 参考文献 Reference |
|---|---|---|---|---|---|
| ZYQ8, JX17 | DH | 128 | IM | 4 | [ |
| M-202, IR50 | RIL | 191 | IM | 15 | [ |
| 圭630, 02428 | DH | 81 | CIM | 3 | [ |
| Lemont, 特青 | RIL | 139 | CIM | 5 | [ |
| 密阳23, 吉冷1号 | F2:3 | 200 | IM | 17 | [ |
| AAV002863, Zhenshan 97B | DH | 193 | IM | 5 | [ |
| Dular, Lemont | RIL | 123 | CIM | 5 | [ |
| Asominori, IR24 | RIL | 71 | CIM | 3 | [ |
| 越光/Kasalath, 越光 | BIL | 182 | CIM | 4 | [ |
| DXWR, 南京11 | BC, F2:3 | 144 | CIM | 2 | [ |
| Nipponbare, Kasalath;Nipponbare/Kasalath//Nipponbare | BIL | 98 | CIM | 3 | [ |
| Geumobyeo, IR66160-121-4-4-2 | RIL | 153 | CIM | 2 | [ |
| Xiushui 09, IR2061 | RIL | 240 | ND | 4 | [ |
| GC2, IL112 | F2:3 | 394 | IM | 7 | [ |
| Lijiangxintuanheigu, Sanhuangzhan-2 | RIL | 204 | ND | 15 | [ |
| HGKN, Hokuriku-142 or Yume-Toiro | RIL | 162 | IM | 9 | [ |
| Jinbu, BR29 | RIL | 123 | CIM | 6 | [ |
| Milyang 23, Hapcheonaengmi 3 | F2 | 98 | ND | 4 | [ |
| Xiang 743, Katy | F2:3 | 190 | CIM, MIM | 7 | [ |
| Xiang 743, Dular | F2:3 | 181 | IM, MIM | 5 | [ |
| DXWR, XQZB | BIL | 94 | IM | 15 | [ |
| IR24, Asominori | RIL | 213 | ICIM | 3 | [ |
| Xieqingzao B, DXWR | BIL | 229 | CIM | 19 | [ |
| BR1, Hbj.BVI | F2:3 | 151 | ICIM | 6 | [ |
| XB, XB/DWR | BIL | 202 | IM, CIM, MIM | 2 | [ |
| XB, XB/DWR 亚群 | BIL | 138 | IM, CIM, MIM | 3 | [ |
| SN265, 七山占 | RIL | 118 | ICIM | 2 | [ |
| SN265, IR30 | RIL | 218 | ICIM | 2 | [ |
| Gr89-1, Shuhui 527 | RIL | 286 | IM | 3 | [ |
| 93-11, Nipponbare | F2:3 | 114 | CIM | 7 | [ |
| 93-11, NIL11 | NIL | 229 | CIM | 2 | [ |
| BR1, BR18 | F2:3 | 856 | CIM, IM, SMA | 5 | [ |
| 泸恢 99, SN625 | RIL | 144 | ICIM | 1 | [ |
| DN422, KY131 | F2:3 | 2570 | CIM | 2 | [ |
| DXWR, SN625 | BIL | 140 | ND | 114 | [ |
| National germplasms | NG | 1992 | GWAS | 9 | [ |
| 丽江新团黑谷, 沈农265 | RIL | 144 | ICIM | 4 | [ |
| National germplasms | NG | 204 | GWAS | 29 | [ |
图1 水稻苗期耐冷QTL和MQTL的分布 A:Meta分析中利用水稻苗期耐冷相关性状的原始QTL数量;SR:存活率;WI:枯萎度;SDW:幼苗干质量;RL:幼苗根长;SWW:幼苗鲜质量;CSH:幼苗茎长;RC:根系电导率;RD:根系直径;LAIR:叶龄抑制率;RRS:根苗比;LRI:叶片卷曲度;RDW:根干质量;RN:根数;LC:叶电导率。B:水稻12条染色体上的QTL和Meta-QTL数量,分别为深蓝色和蓝色。
Fig. 1. Distribution of QTLs and MQTL for cold tolerance at seedling stage in rice A, Number of original QTLs for cold tolerance-related traits at seedling stage in Meta-analysis; SR, Survival rate; WI, Wilting index; SDW, Seedling dry weight; RL, Root length; SWW, Seedling wet weight; SSL, Seedling shoot length; RC, Root conductivity; RD, Root diameter; LAIR, Leaf age inhibition rate; RRS, Root to shoot ratio; LRI, Leaf rolling index; RDW, Root dry weight; RN, Radical number; LC, Leaf conductivity. B, Number of QTLs(dark bule) and Meta-QTLs (dark purple) on 12 rice chromosomes.
| 染色体Chromosome | SR | RC | RDW | RD | RRS | RN | WI | LC | RLI | LAIR | SDW | RL | CSH | SWW | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 22 | 0 | 0 | 1 | 2 | 0 | 9 | 0 | 0 | 1 | 4 | 7 | 2 | 3 | 51 |
| 2 | 12 | 0 | 1 | 1 | 1 | 1 | 3 | 0 | 3 | 0 | 3 | 2 | 2 | 0 | 29 |
| 3 | 12 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 21 |
| 4 | 8 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 20 |
| 5 | 7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 15 |
| 6 | 13 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 18 | 5 | 2 | 8 | 52 |
| 7 | 8 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 0 | 0 | 2 | 1 | 1 | 20 |
| 8 | 9 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 27 |
| 9 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 5 | 3 | 0 | 1 | 16 |
| 10 | 2 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 11 |
| 11 | 17 | 0 | 1 | 2 | 1 | 0 | 12 | 0 | 0 | 1 | 2 | 2 | 3 | 2 | 43 |
| 12 | 19 | 0 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 1 | 7 | 7 | 0 | 4 | 48 |
| 总计Total | 132 | 5 | 2 | 5 | 4 | 2 | 72 | 1 | 5 | 4 | 49 | 37 | 12 | 23 | 353 |
表2 原始QTL映射至“一致性”图谱的数量
Table 2. Number of initial QTL mapping “Consensus” map
| 染色体Chromosome | SR | RC | RDW | RD | RRS | RN | WI | LC | RLI | LAIR | SDW | RL | CSH | SWW | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 22 | 0 | 0 | 1 | 2 | 0 | 9 | 0 | 0 | 1 | 4 | 7 | 2 | 3 | 51 |
| 2 | 12 | 0 | 1 | 1 | 1 | 1 | 3 | 0 | 3 | 0 | 3 | 2 | 2 | 0 | 29 |
| 3 | 12 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 21 |
| 4 | 8 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 20 |
| 5 | 7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 15 |
| 6 | 13 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 18 | 5 | 2 | 8 | 52 |
| 7 | 8 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 0 | 0 | 2 | 1 | 1 | 20 |
| 8 | 9 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 6 | 1 | 0 | 0 | 27 |
| 9 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 5 | 3 | 0 | 1 | 16 |
| 10 | 2 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 11 |
| 11 | 17 | 0 | 1 | 2 | 1 | 0 | 12 | 0 | 0 | 1 | 2 | 2 | 3 | 2 | 43 |
| 12 | 19 | 0 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 1 | 7 | 7 | 0 | 4 | 48 |
| 总计Total | 132 | 5 | 2 | 5 | 4 | 2 | 72 | 1 | 5 | 4 | 49 | 37 | 12 | 23 | 353 |
图2 水稻苗期耐冷“一致性”QTL图谱和Meta分析结果 标尺刻度为物理图距(Mega base,0.1 Mb);柱状体代表染色体,染色体右侧为分子标记及其具体物理位置;分子标记左侧竖线为映射到“一致性”图谱上的原始QTL;染色体上的彩色片段代表Meta-QTL。
Fig. 2. “Consensus” QTL map related to cold tolerance at rice seedling stage and the Meta-analysis results Ruler scale represents physical distance in mega base (mega base, Mb); the bars represent the chromosomes, and molecular markers are located on the right of chromosomes; the original QTLs are positioned on the left side of molecular markers in the “consensus” map; fragments in blue represent confidence intervals of Meta-QTLs on the chromosomes.
| 元QTL Meta-QTL | 染色体 Chr. | 侧翼标记 Flanking marker | 物理区间 Physical interval (Mb) | 元QTL位置 Meta-QTL location | 置信区间 95% CI (Mb) | 原始QTL数目 No. of original QTLs | 基因数目 Gene number | 已报道的耐冷基因 Published cold tolerance gene |
|---|---|---|---|---|---|---|---|---|
| Meta-QTL 1 | 1 | S01_8430459−RM323 | 3.785−4.096 | 3.940 | 0.311 | 6 | 53 | OsbZIP01(VIG1) |
| Meta-QTL 2 | 1 | RM1−RM283 | 4.662−4.859 | 4.760 | 0.197 | 9 | 34 | |
| Meta-QTL 3 | 1 | S01_12150755−S01_12275956 | 6.813−7.347 | 7.080 | 0.534 | 4 | 104 | OsCTK1, OsP3B |
| Meta-QTL 4 | 1 | Y5714L−RM10829 | 12.914−13.264 | 13.089 | 0.350 | 10 | 60 | |
| Meta-QTL 5 | 1 | S01_27714994−S01_27766901 | 17.235−17.605 | 17.420 | 0.370 | 3 | 73 | |
| Meta-QTL 6 | 1 | S01_28250887−S01_28381910 | 18.015−18.270 | 18.142 | 0.255 | 3 | 38 | |
| Meta-QTL 7 | 1 | S01_40759127−C808 | 25.428−25.527 | 25.477 | 0.099 | 10 | 16 | |
| Meta-QTL 8 | 1 | RM297−RM319 | 32.355−33.654 | 33.004 | 1.299 | 7 | 258 | TCM1 |
| Meta-QTL 9 | 1 | RM8231−R1468C | 38.735−38.953 | 38.844 | 0.218 | 9 | 49 | OsCRT3 |
| Meta-QTL 10 | 2 | RG409a−RM423 | 3.573−3.829 | 3.701 | 0.256 | 5 | 60 | |
| Meta-QTL 11 | 2 | S02_141987−S02_15359168 | 6.348−6.383 | 6.365 | 0.035 | 4 | 4 | |
| Meta-QTL 12 | 2 | S02_18887339−S02_19405835 | 7.926−8.568 | 8.247 | 0.642 | 4 | 108 | |
| Meta-QTL 13 | 2 | S02_23029608−S02_23147657 | 13.060−14.008 | 13.534 | 0.948 | 3 | 153 | |
| Meta-QTL 14 | 2 | C424−S02_34742671 | 25.567−26.142 | 25.854 | 0.575 | 9 | 96 | OsLMS |
| Meta-QTL 15 | 2 | S02_35709093−R2ID2877 | 28.499−28.729 | 28.614 | 0.230 | 7 | 50 | |
| Meta-QTL 16 | 2 | RM530−RM250 | 30.746−32.239 | 31.492 | 1.493 | 5 | 293 | OsRING1 |
| Meta-QTL 17 | 3 | RM14586−S03_7188874 | 6.073−6.532 | 6.302 | 0.459 | 2 | 99 | |
| Meta-QTL 18 | 3 | S03_10154153−S03_10484949 | 8.893−8.898 | 8.895 | 0.005 | 2 | 6 | |
| Meta-QTL 19 | 3 | S03_11339312−CT339 | 9.486−9.621 | 9.553 | 0.135 | 4 | 25 | |
| Meta-QTL 20 | 3 | S03_22803832−S03_24600250 | 19.107−20.001 | 19.556 | 0.899 | 3 | 152 | |
| Meta-QTL 21 | 3 | R250−S03_31399395 | 25.189−25.436 | 25.312 | 0.247 | 3 | 48 | |
| Meta-QTL 22 | 3 | R2856−G164 | 31.514−33.891 | 32.703 | 2.379 | 3 | 512 | OsSAPK8, OsTCP8 |
| Meta-QTL 23 | 3 | R1927−RM227 | 33.885−34.655 | 34.270 | 0.770 | 5 | 166 | |
| Meta-QTL 24 | 4 | S04_2035471−S04_2361227 | 3.5615−3.7105 | 3.636 | 0.149 | 7 | 22 | |
| Meta-QTL 25 | 4 | S04_753684−S04_7920307 | 7.828−9.825 | 8.826 | 1.997 | 2 | 369 | |
| Meta-QTL 26 | 4 | S04_17868488−S04_20190493 | 15.633−17.295 | 16.464 | 1.662 | 3 | 229 | OsUGT90A1 |
| Meta-QTL 27 | 4 | S04_25345578−S04_30302637 | 21.377−24.730 | 23.053 | 3.353 | 2 | 671 | OsV4 |
| Meta-QTL 28 | 4 | S04_30444673−RM1018 | 26.231−26.740 | 26.485 | 0.509 | 3 | 125 | |
| Meta-QTL 29 | 4 | RM349−RM3648 | 32.793−32.900 | 32.846 | 0.107 | 2 | 20 | |
| Meta-QTL 30 | 4 | S04_35487338−RM1113 | 33.869−34.065 | 33.967 | 0.196 | 4 | 49 | |
| Meta-QTL 31 | 5 | S05_1622816−S05_2206645 | 0.687−1.626 | 1.156 | 0.939 | 3 | 187 | |
| Meta-QTL 32 | 5 | S05_15157600−S05_16169826 | 10.909−12.182 | 11.545 | 1.273 | 2 | 206 | |
| Meta-QTL 33 | 5 | S05_22950610−S05_23110060 | 14.654−15.233 | 14.943 | 0.579 | 2 | 101 | OsWRKY45 |
| Meta-QTL 34 | 5 | S05_27988265−C1268 | 19.641−19.941 | 19.791 | 0.300 | 3 | 51 | |
| Meta-QTL 35 | 5 | S05_28253886−RM305 | 20.424−20.96 | 20.692 | 0.536 | 5 | 106 | |
| Meta-QTL 36 | 5 | S05_29195759−S05_29385239 | 21.591−22.247 | 21.919 | 0.656 | 4 | 119 | |
| Meta-QTL 37 | 5 | S05_29385239−RM480 | 22.342−24.074 | 23.208 | 1.732 | 3 | 371 | OsPUB2, OsWRKY70 |
| Meta-QTL 38 | 6 | S06_34346−R6ID0027 | 0.011−0.051 | 0.031 | 0.040 | 6 | 5 | |
| Meta-QTL 39 | 6 | MRG3332−S06_76033 | 0.788−1.155 | 0.971 | 0.367 | 7 | 84 | |
| Meta-QTL 40 | 6 | S06_76033−S06_86257 | 1.537−1.779 | 1.658 | 0.242 | 11 | 50 | OsDREB1C, COLD6 |
| Meta-QTL 41 | 6 | RM587−RM3805 | 2.651−2.843 | 2.747 | 0.192 | 8 | 49 | |
| Meta-QTL 42 | 6 | S06_2026942−S06_2573648 | 5.166−5.691 | 5.428 | 0.525 | 2 | 87 | |
| Meta-QTL 43 | 6 | RM557−S06_6242039 | 7.367−8.225 | 7.796 | 0.858 | 3 | 143 | |
| Meta-QTL 44 | 6 | S06_8551070−S06_9117287 | 10.944−11.184 | 11.064 | 0.240 | 9 | 40 | |
| Meta-QTL 45 | 6 | S06_12025018−R6ID1693 | 15.176−16.863 | 16.019 | 1.687 | 7 | 268 | |
| Meta-QTL 46 | 6 | S06_26319487−RM5371 | 25.263−25.311 | 25.287 | 0.048 | 12 | 11 | |
| Meta-QTL 47 | 7 | S07_2206752−S07_2342190 | 1.543−1.878 | 1.710 | 0.335 | 4 | 48 | |
| Meta-QTL 48 | 7 | RM428−RM481 | 2.643−2.873 | 2.758 | 0.230 | 4 | 35 | OsTCP14 |
| Meta-QTL 49 | 7 | S07_29374392−RM432 | 18.112−18.679 | 18.395 | 0.567 | 6 | 101 | ANIP1 |
| Meta-QTL 50 | 7 | RM182−RM10 | 21.721−22.013 | 21.867 | 0.292 | 8 | 40 | |
| Meta-QTL 51 | 7 | R7ID2633−RM134 | 26.474−26.512 | 26.493 | 0.038 | 10 | 8 | |
| Meta-QTL 52 | 8 | R8ID1243−S08_10035358 | 12.475−12.882 | 12.678 | 0.407 | 11 | 65 | |
| Meta-QTL 53 | 8 | RZ323a−R8ID1537 | 13.958−15.344 | 14.651 | 1.386 | 4 | 216 | |
| Meta-QTL 54 | 8 | RM404−S08_21108492 | 15.581−15.866 | 15.723 | 0.285 | 12 | 45 | |
| Meta-QTL 55 | 8 | RM330A−S08_27371918 | 25.657−26.163 | 25.910 | 0.506 | 5 | 118 | |
| Meta-QTL 56 | 9 | S09_2137067−S09_2195182 | 2.902−3.316 | 3.109 | 0.414 | 2 | 67 | |
| Meta-QTL 57 | 9 | S09_2195182−S09_2547956 | 3.487−4.352 | 3.919 | 0.865 | 2 | 141 | |
| Meta-QTL 58 | 9 | S09_5908433−S09_5989512 | 6.857−7.184 | 7.020 | 0.327 | 2 | 40 | |
| Meta-QTL 59 | 9 | S09_11240451−S09_11542598 | 9.226−9.763 | 9.494 | 0.537 | 2 | 90 | |
| Meta-QTL 60 | 9 | S09_15958987−S09_16117267 | 14.258−14.551 | 14.404 | 0.293 | 5 | 58 | qCTS9 |
| Meta-QTL 61 | 9 | S09_16774761−RM434 | 15.114−15.556 | 15.335 | 0.442 | 7 | 74 | |
| Meta-QTL 62 | 9 | S09_20394456−S09_20840172 | 20.145−20.190 | 20.167 | 0.045 | 3 | 11 | |
| Meta-QTL 63 | 11 | S11_6640029−S11_6662625 | 4.353−4.591 | 4.472 | 0.238 | 7 | 35 | |
| Meta-QTL 64 | 11 | R11M17−S11_9024140 | 6.139−6.533 | 6.336 | 0.394 | 7 | 69 | |
| Meta-QTL 65 | 11 | RM536−S11_16884915 | 9.012−9.329 | 9.170 | 0.317 | 13 | 55 | |
| Meta-QTL 66 | 11 | S11_16889698−R11ID1009 | 9.615−10.059 | 9.837 | 0.444 | 14 | 65 | |
| Meta-QTL 67 | 11 | S11_22758863−RM21 | 17.137-19.312 | 18.224 | 2.175 | 6 | 322 | OsICE1 |
| Meta-QTL 68 | 11 | S11_23793431−C1172 | 19.335−19.679 | 19.507 | 0.344 | 16 | 65 | |
| Meta-QTL 69 | 11 | S11_23795247−S11_25462014 | 20.632−22.264 | 21.448 | 1.632 | 5 | 262 | COG1, CTP1A58 |
| Meta-QTL 70 | 11 | S11_26184650−RG553c | 23.884−24.421 | 24.152 | 0.537 | 6 | 91 | OsRAD51A1 |
| Meta-QTL 71 | 11 | S11_27302936−RM1233 | 25.320−26.517 | 25.918 | 1.197 | 6 | 201 | |
| Meta-QTL 72 | 11 | S11_27344371−S11_27818224 | 28.302−28.648 | 28.475 | 0.346 | 7 | 47 | |
| Meta-QTL 73 | 12 | G24B−S12_3267494 | 0.292−1.087 | 0.689 | 0.795 | 3 | 190 | |
| Meta-QTL 74 | 12 | R3375−S12_8957623 | 5.610−5.855 | 5.732 | 0.245 | 11 | 35 | OsGSTZ1, OsGSTZ2 |
| Meta-QTL 75 | 12 | S12_13855860−R12ID1072 | 8.906−10.487 | 9.696 | 1.581 | 11 | 277 | |
| Meta-QTL 76 | 12 | RM101−RM270 | 8.789−10.603 | 9.696 | 1.814 | 12 | 319 | |
| Meta-QTL 77 | 12 | S12_18216503−S12_18487234 | 11.696−11.716 | 11.706 | 0.020 | 15 | 4 | |
| Meta-QTL 78 | 12 | RM1337−S12_19944345 | 12.072−12.377 | 12.224 | 0.305 | 12 | 55 | |
| Meta-QTL 79 | 12 | S12_20179243−S12_20499113 | 12.808−13.235 | 13.021 | 0.427 | 15 | 70 | |
| Meta-QTL 80 | 12 | R12ID1349−RM179 | 13.737−14.287 | 14.012 | 0.550 | 13 | 68 | |
| Meta-QTL 81 | 12 | S12_20643952−S12_20912019 | 16.114−16.475 | 16.294 | 0.361 | 8 | 55 | |
| Meta-QTL 82 | 12 | C449−R12ID2187 | 21.550−21.646 | 21.598 | 0.096 | 10 | 20 |
表3 水稻苗期耐冷QTL的Meta分析
Table 3. Meta-analysis of QTLs associated with cold tolerance at the seedling stage in rice
| 元QTL Meta-QTL | 染色体 Chr. | 侧翼标记 Flanking marker | 物理区间 Physical interval (Mb) | 元QTL位置 Meta-QTL location | 置信区间 95% CI (Mb) | 原始QTL数目 No. of original QTLs | 基因数目 Gene number | 已报道的耐冷基因 Published cold tolerance gene |
|---|---|---|---|---|---|---|---|---|
| Meta-QTL 1 | 1 | S01_8430459−RM323 | 3.785−4.096 | 3.940 | 0.311 | 6 | 53 | OsbZIP01(VIG1) |
| Meta-QTL 2 | 1 | RM1−RM283 | 4.662−4.859 | 4.760 | 0.197 | 9 | 34 | |
| Meta-QTL 3 | 1 | S01_12150755−S01_12275956 | 6.813−7.347 | 7.080 | 0.534 | 4 | 104 | OsCTK1, OsP3B |
| Meta-QTL 4 | 1 | Y5714L−RM10829 | 12.914−13.264 | 13.089 | 0.350 | 10 | 60 | |
| Meta-QTL 5 | 1 | S01_27714994−S01_27766901 | 17.235−17.605 | 17.420 | 0.370 | 3 | 73 | |
| Meta-QTL 6 | 1 | S01_28250887−S01_28381910 | 18.015−18.270 | 18.142 | 0.255 | 3 | 38 | |
| Meta-QTL 7 | 1 | S01_40759127−C808 | 25.428−25.527 | 25.477 | 0.099 | 10 | 16 | |
| Meta-QTL 8 | 1 | RM297−RM319 | 32.355−33.654 | 33.004 | 1.299 | 7 | 258 | TCM1 |
| Meta-QTL 9 | 1 | RM8231−R1468C | 38.735−38.953 | 38.844 | 0.218 | 9 | 49 | OsCRT3 |
| Meta-QTL 10 | 2 | RG409a−RM423 | 3.573−3.829 | 3.701 | 0.256 | 5 | 60 | |
| Meta-QTL 11 | 2 | S02_141987−S02_15359168 | 6.348−6.383 | 6.365 | 0.035 | 4 | 4 | |
| Meta-QTL 12 | 2 | S02_18887339−S02_19405835 | 7.926−8.568 | 8.247 | 0.642 | 4 | 108 | |
| Meta-QTL 13 | 2 | S02_23029608−S02_23147657 | 13.060−14.008 | 13.534 | 0.948 | 3 | 153 | |
| Meta-QTL 14 | 2 | C424−S02_34742671 | 25.567−26.142 | 25.854 | 0.575 | 9 | 96 | OsLMS |
| Meta-QTL 15 | 2 | S02_35709093−R2ID2877 | 28.499−28.729 | 28.614 | 0.230 | 7 | 50 | |
| Meta-QTL 16 | 2 | RM530−RM250 | 30.746−32.239 | 31.492 | 1.493 | 5 | 293 | OsRING1 |
| Meta-QTL 17 | 3 | RM14586−S03_7188874 | 6.073−6.532 | 6.302 | 0.459 | 2 | 99 | |
| Meta-QTL 18 | 3 | S03_10154153−S03_10484949 | 8.893−8.898 | 8.895 | 0.005 | 2 | 6 | |
| Meta-QTL 19 | 3 | S03_11339312−CT339 | 9.486−9.621 | 9.553 | 0.135 | 4 | 25 | |
| Meta-QTL 20 | 3 | S03_22803832−S03_24600250 | 19.107−20.001 | 19.556 | 0.899 | 3 | 152 | |
| Meta-QTL 21 | 3 | R250−S03_31399395 | 25.189−25.436 | 25.312 | 0.247 | 3 | 48 | |
| Meta-QTL 22 | 3 | R2856−G164 | 31.514−33.891 | 32.703 | 2.379 | 3 | 512 | OsSAPK8, OsTCP8 |
| Meta-QTL 23 | 3 | R1927−RM227 | 33.885−34.655 | 34.270 | 0.770 | 5 | 166 | |
| Meta-QTL 24 | 4 | S04_2035471−S04_2361227 | 3.5615−3.7105 | 3.636 | 0.149 | 7 | 22 | |
| Meta-QTL 25 | 4 | S04_753684−S04_7920307 | 7.828−9.825 | 8.826 | 1.997 | 2 | 369 | |
| Meta-QTL 26 | 4 | S04_17868488−S04_20190493 | 15.633−17.295 | 16.464 | 1.662 | 3 | 229 | OsUGT90A1 |
| Meta-QTL 27 | 4 | S04_25345578−S04_30302637 | 21.377−24.730 | 23.053 | 3.353 | 2 | 671 | OsV4 |
| Meta-QTL 28 | 4 | S04_30444673−RM1018 | 26.231−26.740 | 26.485 | 0.509 | 3 | 125 | |
| Meta-QTL 29 | 4 | RM349−RM3648 | 32.793−32.900 | 32.846 | 0.107 | 2 | 20 | |
| Meta-QTL 30 | 4 | S04_35487338−RM1113 | 33.869−34.065 | 33.967 | 0.196 | 4 | 49 | |
| Meta-QTL 31 | 5 | S05_1622816−S05_2206645 | 0.687−1.626 | 1.156 | 0.939 | 3 | 187 | |
| Meta-QTL 32 | 5 | S05_15157600−S05_16169826 | 10.909−12.182 | 11.545 | 1.273 | 2 | 206 | |
| Meta-QTL 33 | 5 | S05_22950610−S05_23110060 | 14.654−15.233 | 14.943 | 0.579 | 2 | 101 | OsWRKY45 |
| Meta-QTL 34 | 5 | S05_27988265−C1268 | 19.641−19.941 | 19.791 | 0.300 | 3 | 51 | |
| Meta-QTL 35 | 5 | S05_28253886−RM305 | 20.424−20.96 | 20.692 | 0.536 | 5 | 106 | |
| Meta-QTL 36 | 5 | S05_29195759−S05_29385239 | 21.591−22.247 | 21.919 | 0.656 | 4 | 119 | |
| Meta-QTL 37 | 5 | S05_29385239−RM480 | 22.342−24.074 | 23.208 | 1.732 | 3 | 371 | OsPUB2, OsWRKY70 |
| Meta-QTL 38 | 6 | S06_34346−R6ID0027 | 0.011−0.051 | 0.031 | 0.040 | 6 | 5 | |
| Meta-QTL 39 | 6 | MRG3332−S06_76033 | 0.788−1.155 | 0.971 | 0.367 | 7 | 84 | |
| Meta-QTL 40 | 6 | S06_76033−S06_86257 | 1.537−1.779 | 1.658 | 0.242 | 11 | 50 | OsDREB1C, COLD6 |
| Meta-QTL 41 | 6 | RM587−RM3805 | 2.651−2.843 | 2.747 | 0.192 | 8 | 49 | |
| Meta-QTL 42 | 6 | S06_2026942−S06_2573648 | 5.166−5.691 | 5.428 | 0.525 | 2 | 87 | |
| Meta-QTL 43 | 6 | RM557−S06_6242039 | 7.367−8.225 | 7.796 | 0.858 | 3 | 143 | |
| Meta-QTL 44 | 6 | S06_8551070−S06_9117287 | 10.944−11.184 | 11.064 | 0.240 | 9 | 40 | |
| Meta-QTL 45 | 6 | S06_12025018−R6ID1693 | 15.176−16.863 | 16.019 | 1.687 | 7 | 268 | |
| Meta-QTL 46 | 6 | S06_26319487−RM5371 | 25.263−25.311 | 25.287 | 0.048 | 12 | 11 | |
| Meta-QTL 47 | 7 | S07_2206752−S07_2342190 | 1.543−1.878 | 1.710 | 0.335 | 4 | 48 | |
| Meta-QTL 48 | 7 | RM428−RM481 | 2.643−2.873 | 2.758 | 0.230 | 4 | 35 | OsTCP14 |
| Meta-QTL 49 | 7 | S07_29374392−RM432 | 18.112−18.679 | 18.395 | 0.567 | 6 | 101 | ANIP1 |
| Meta-QTL 50 | 7 | RM182−RM10 | 21.721−22.013 | 21.867 | 0.292 | 8 | 40 | |
| Meta-QTL 51 | 7 | R7ID2633−RM134 | 26.474−26.512 | 26.493 | 0.038 | 10 | 8 | |
| Meta-QTL 52 | 8 | R8ID1243−S08_10035358 | 12.475−12.882 | 12.678 | 0.407 | 11 | 65 | |
| Meta-QTL 53 | 8 | RZ323a−R8ID1537 | 13.958−15.344 | 14.651 | 1.386 | 4 | 216 | |
| Meta-QTL 54 | 8 | RM404−S08_21108492 | 15.581−15.866 | 15.723 | 0.285 | 12 | 45 | |
| Meta-QTL 55 | 8 | RM330A−S08_27371918 | 25.657−26.163 | 25.910 | 0.506 | 5 | 118 | |
| Meta-QTL 56 | 9 | S09_2137067−S09_2195182 | 2.902−3.316 | 3.109 | 0.414 | 2 | 67 | |
| Meta-QTL 57 | 9 | S09_2195182−S09_2547956 | 3.487−4.352 | 3.919 | 0.865 | 2 | 141 | |
| Meta-QTL 58 | 9 | S09_5908433−S09_5989512 | 6.857−7.184 | 7.020 | 0.327 | 2 | 40 | |
| Meta-QTL 59 | 9 | S09_11240451−S09_11542598 | 9.226−9.763 | 9.494 | 0.537 | 2 | 90 | |
| Meta-QTL 60 | 9 | S09_15958987−S09_16117267 | 14.258−14.551 | 14.404 | 0.293 | 5 | 58 | qCTS9 |
| Meta-QTL 61 | 9 | S09_16774761−RM434 | 15.114−15.556 | 15.335 | 0.442 | 7 | 74 | |
| Meta-QTL 62 | 9 | S09_20394456−S09_20840172 | 20.145−20.190 | 20.167 | 0.045 | 3 | 11 | |
| Meta-QTL 63 | 11 | S11_6640029−S11_6662625 | 4.353−4.591 | 4.472 | 0.238 | 7 | 35 | |
| Meta-QTL 64 | 11 | R11M17−S11_9024140 | 6.139−6.533 | 6.336 | 0.394 | 7 | 69 | |
| Meta-QTL 65 | 11 | RM536−S11_16884915 | 9.012−9.329 | 9.170 | 0.317 | 13 | 55 | |
| Meta-QTL 66 | 11 | S11_16889698−R11ID1009 | 9.615−10.059 | 9.837 | 0.444 | 14 | 65 | |
| Meta-QTL 67 | 11 | S11_22758863−RM21 | 17.137-19.312 | 18.224 | 2.175 | 6 | 322 | OsICE1 |
| Meta-QTL 68 | 11 | S11_23793431−C1172 | 19.335−19.679 | 19.507 | 0.344 | 16 | 65 | |
| Meta-QTL 69 | 11 | S11_23795247−S11_25462014 | 20.632−22.264 | 21.448 | 1.632 | 5 | 262 | COG1, CTP1A58 |
| Meta-QTL 70 | 11 | S11_26184650−RG553c | 23.884−24.421 | 24.152 | 0.537 | 6 | 91 | OsRAD51A1 |
| Meta-QTL 71 | 11 | S11_27302936−RM1233 | 25.320−26.517 | 25.918 | 1.197 | 6 | 201 | |
| Meta-QTL 72 | 11 | S11_27344371−S11_27818224 | 28.302−28.648 | 28.475 | 0.346 | 7 | 47 | |
| Meta-QTL 73 | 12 | G24B−S12_3267494 | 0.292−1.087 | 0.689 | 0.795 | 3 | 190 | |
| Meta-QTL 74 | 12 | R3375−S12_8957623 | 5.610−5.855 | 5.732 | 0.245 | 11 | 35 | OsGSTZ1, OsGSTZ2 |
| Meta-QTL 75 | 12 | S12_13855860−R12ID1072 | 8.906−10.487 | 9.696 | 1.581 | 11 | 277 | |
| Meta-QTL 76 | 12 | RM101−RM270 | 8.789−10.603 | 9.696 | 1.814 | 12 | 319 | |
| Meta-QTL 77 | 12 | S12_18216503−S12_18487234 | 11.696−11.716 | 11.706 | 0.020 | 15 | 4 | |
| Meta-QTL 78 | 12 | RM1337−S12_19944345 | 12.072−12.377 | 12.224 | 0.305 | 12 | 55 | |
| Meta-QTL 79 | 12 | S12_20179243−S12_20499113 | 12.808−13.235 | 13.021 | 0.427 | 15 | 70 | |
| Meta-QTL 80 | 12 | R12ID1349−RM179 | 13.737−14.287 | 14.012 | 0.550 | 13 | 68 | |
| Meta-QTL 81 | 12 | S12_20643952−S12_20912019 | 16.114−16.475 | 16.294 | 0.361 | 8 | 55 | |
| Meta-QTL 82 | 12 | C449−R12ID2187 | 21.550−21.646 | 21.598 | 0.096 | 10 | 20 |
| 序号 Serial | 染色体 Chr. | 基因名称 Gene | 已报道基因 Published tolerance gene | GO 注释 GO annotation | 序号 Serial | 染色体 Chr. | 基因名称 Gene | 已报道基因 Published tolerance gene | GO 注释 GO annotation |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | LOC_Os01g56200 | OsNPR2; NH2 | 乙烯应答(GO:0009723) | 23 | 4 | LOC_Os04g40540 | OsPIMT2 | 脱落酸应答(GO:0009737) |
| 2 | 1 | LOC_Os01g56330 | FLR2; DRUS2 | 赤霉素生物合成调控(GO:0010371) | 24 | 5 | LOC_Os05g02500 | OsMKP1; GSN1 | 细胞分裂素合成(GO:0009691) |
| 3 | 1 | LOC_Os01g66890 | OsBTBZ1 | 脱落酸信号通路调控(GO:0009787) | 25 | 5 | LOC_Os05g03430 | OsSIZ1; OsPHD29 | 脱落酸应答(GO:0009737) |
| 4 | 2 | LOC_Os02g50480 | OHK5; OsHk6 | 细胞分裂素信号传导(GO:0009736) | 26 | 5 | LOC_Os05g34830 | OsNAC52 | 脱落酸信号通路调控(GO:0009787) |
| 5 | 2 | LOC_Os02g50970 | DSM1; OsMAPKKK6 | 脱落酸应答(GO:0009737) | 27 | 5 | LOC_Os05g37690 | OsCOI1b | 茉莉酸信号通路(GO:0009867 |
| 6 | 2 | LOC_Os02g51750 | OsANN1; OsANN2 | 茉莉酸信号通路调控(GO:2000022) | 28 | 5 | LOC_Os05g38150 | OsP5CS; OsP5CS1 | 正调控脱落酸信号(GO:0009789) |
| 7 | 2 | LOC_Os02g52150 | OsHSP24.1 | 脱落酸应答(GO:0009737) | 29 | 5 | LOC_Os05g39720 | OsWRKY70 | 脱落酸信号通路调控(GO:0009787) |
| 8 | 2 | LOC_Os02g52250 | OsSKIPa | 脱落酸应答(GO:0009737) | 30 | 5 | LOC_Os05g41070 | OsbZIP42; HBF1 | 脱落酸信号通路调控(GO:0009787) |
| 9 | 3 | LOC_Os03g55540 | OsADR3 | 脱落酸信号通路调控(GO:0009787) | 31 | 6 | LOC_Os06g06050 | D3; SOLS | 独脚金内酯细胞应答(GO:1902348) |
| 10 | 3 | LOC_Os03g55600 | OsSAPK8 | 脱落酸信号通路调控(GO:0009787) | 32 | 6 | LOC_Os06g10230 | OsERECTA; OsER1 | 细胞分裂素分解(GO:0009823) |
| 11 | 3 | LOC_Os03g55800 | OsAOS1 | 茉莉酸合成(GO:0009695) | 33 | 6 | LOC_Os06g10880 | OsAREB1; OsbZIP46 | 生长素信号通路调控(GO:0010928) |
| 12 | 3 | LOC_Os03g58350 | OsIAA14 | 生长素信号转导(GO:0009734) | 34 | 6 | LOC_Os06g14406 | CHR720; OsSYD | 水杨酸应答(GO:0009751) |
| 13 | 3 | LOC_Os03g58390 | OsSIRP2 | 脱落酸应答(GO:0009737) | 35 | 6 | LOC_Os06g27760 | OsMSRB1.1 | 脱落酸应答(GO:0009737) |
| 14 | 3 | LOC_Os03g59610 | OsABA2; XanDH | 脱落酸生物合成(GO:0009688) | 36 | 6 | LOC_Os06g29310 | OsOTS1 | 脱落酸生物合成调控(GO:0010115) |
| 15 | 3 | LOC_Os03g60080 | SNAC1; OsNAC9 | 脱落酸信号通路调控(GO:0009787) | 37 | 7 | LOC_Os07g04180 | OsAAP1 | 细胞分裂素含量(TO:0002660) |
| 16 | 4 | LOC_Os04g35190 | OsDRF1 | 脱落酸应答(GO:0009737) | 38 | 7 | LOC_Os07g30970 | OsNDPK1 | 水杨酸应答(GO:0009751) |
| 17 | 4 | LOC_Os04g35210 | Bph6 | 水杨酸信号通路调控(GO:2000031) | 39 | 8 | LOC_Os08g41190 | OsMBTB32 | 脯氨酸含量(TO:0006002) |
| 18 | 4 | LOC_Os04g37619 | OSZEP1; OsABA1 | 脱落酸生物合成(GO:0009688) | 40 | 9 | LOC_Os09g15240 | OsZAS | 独脚金内酯生物合成(GO:1901601) |
| 19 | 4 | LOC_Os04g37920 | OsCRY1b; OsCCT1b | 赤霉素分解代谢(GO:0045487) | 41 | 11 | LOC_Os11g08340 | OsGH3-12 | 生长素信号传导(GO:0009734) |
| 20 | 4 | LOC_Os04g38950 | TDD1; OASB1 | 生长素含量(TO:0002672) | 42 | 11 | LOC_Os11g42660 | WED | 水杨酸代谢调控(GO:0010337) |
| 21 | 4 | LOC_Os04g39150 | OsMLP423 | 脱落酸信号通路调控(GO:0009787) | 43 | 12 | LOC_Os12g16720 | OsSL; ELL1 | 水杨酸生物合成调控(GO:0080142) |
| 22 | 4 | LOC_Os04g40410 | OsNAR2.2 | 赤霉素应答(GO:0009739) |
表4 与植物激素调节有关的目标基因
Table 4. Target genes related to plant hormone regulation
| 序号 Serial | 染色体 Chr. | 基因名称 Gene | 已报道基因 Published tolerance gene | GO 注释 GO annotation | 序号 Serial | 染色体 Chr. | 基因名称 Gene | 已报道基因 Published tolerance gene | GO 注释 GO annotation |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | LOC_Os01g56200 | OsNPR2; NH2 | 乙烯应答(GO:0009723) | 23 | 4 | LOC_Os04g40540 | OsPIMT2 | 脱落酸应答(GO:0009737) |
| 2 | 1 | LOC_Os01g56330 | FLR2; DRUS2 | 赤霉素生物合成调控(GO:0010371) | 24 | 5 | LOC_Os05g02500 | OsMKP1; GSN1 | 细胞分裂素合成(GO:0009691) |
| 3 | 1 | LOC_Os01g66890 | OsBTBZ1 | 脱落酸信号通路调控(GO:0009787) | 25 | 5 | LOC_Os05g03430 | OsSIZ1; OsPHD29 | 脱落酸应答(GO:0009737) |
| 4 | 2 | LOC_Os02g50480 | OHK5; OsHk6 | 细胞分裂素信号传导(GO:0009736) | 26 | 5 | LOC_Os05g34830 | OsNAC52 | 脱落酸信号通路调控(GO:0009787) |
| 5 | 2 | LOC_Os02g50970 | DSM1; OsMAPKKK6 | 脱落酸应答(GO:0009737) | 27 | 5 | LOC_Os05g37690 | OsCOI1b | 茉莉酸信号通路(GO:0009867 |
| 6 | 2 | LOC_Os02g51750 | OsANN1; OsANN2 | 茉莉酸信号通路调控(GO:2000022) | 28 | 5 | LOC_Os05g38150 | OsP5CS; OsP5CS1 | 正调控脱落酸信号(GO:0009789) |
| 7 | 2 | LOC_Os02g52150 | OsHSP24.1 | 脱落酸应答(GO:0009737) | 29 | 5 | LOC_Os05g39720 | OsWRKY70 | 脱落酸信号通路调控(GO:0009787) |
| 8 | 2 | LOC_Os02g52250 | OsSKIPa | 脱落酸应答(GO:0009737) | 30 | 5 | LOC_Os05g41070 | OsbZIP42; HBF1 | 脱落酸信号通路调控(GO:0009787) |
| 9 | 3 | LOC_Os03g55540 | OsADR3 | 脱落酸信号通路调控(GO:0009787) | 31 | 6 | LOC_Os06g06050 | D3; SOLS | 独脚金内酯细胞应答(GO:1902348) |
| 10 | 3 | LOC_Os03g55600 | OsSAPK8 | 脱落酸信号通路调控(GO:0009787) | 32 | 6 | LOC_Os06g10230 | OsERECTA; OsER1 | 细胞分裂素分解(GO:0009823) |
| 11 | 3 | LOC_Os03g55800 | OsAOS1 | 茉莉酸合成(GO:0009695) | 33 | 6 | LOC_Os06g10880 | OsAREB1; OsbZIP46 | 生长素信号通路调控(GO:0010928) |
| 12 | 3 | LOC_Os03g58350 | OsIAA14 | 生长素信号转导(GO:0009734) | 34 | 6 | LOC_Os06g14406 | CHR720; OsSYD | 水杨酸应答(GO:0009751) |
| 13 | 3 | LOC_Os03g58390 | OsSIRP2 | 脱落酸应答(GO:0009737) | 35 | 6 | LOC_Os06g27760 | OsMSRB1.1 | 脱落酸应答(GO:0009737) |
| 14 | 3 | LOC_Os03g59610 | OsABA2; XanDH | 脱落酸生物合成(GO:0009688) | 36 | 6 | LOC_Os06g29310 | OsOTS1 | 脱落酸生物合成调控(GO:0010115) |
| 15 | 3 | LOC_Os03g60080 | SNAC1; OsNAC9 | 脱落酸信号通路调控(GO:0009787) | 37 | 7 | LOC_Os07g04180 | OsAAP1 | 细胞分裂素含量(TO:0002660) |
| 16 | 4 | LOC_Os04g35190 | OsDRF1 | 脱落酸应答(GO:0009737) | 38 | 7 | LOC_Os07g30970 | OsNDPK1 | 水杨酸应答(GO:0009751) |
| 17 | 4 | LOC_Os04g35210 | Bph6 | 水杨酸信号通路调控(GO:2000031) | 39 | 8 | LOC_Os08g41190 | OsMBTB32 | 脯氨酸含量(TO:0006002) |
| 18 | 4 | LOC_Os04g37619 | OSZEP1; OsABA1 | 脱落酸生物合成(GO:0009688) | 40 | 9 | LOC_Os09g15240 | OsZAS | 独脚金内酯生物合成(GO:1901601) |
| 19 | 4 | LOC_Os04g37920 | OsCRY1b; OsCCT1b | 赤霉素分解代谢(GO:0045487) | 41 | 11 | LOC_Os11g08340 | OsGH3-12 | 生长素信号传导(GO:0009734) |
| 20 | 4 | LOC_Os04g38950 | TDD1; OASB1 | 生长素含量(TO:0002672) | 42 | 11 | LOC_Os11g42660 | WED | 水杨酸代谢调控(GO:0010337) |
| 21 | 4 | LOC_Os04g39150 | OsMLP423 | 脱落酸信号通路调控(GO:0009787) | 43 | 12 | LOC_Os12g16720 | OsSL; ELL1 | 水杨酸生物合成调控(GO:0080142) |
| 22 | 4 | LOC_Os04g40410 | OsNAR2.2 | 赤霉素应答(GO:0009739) |
图4 水稻苗期耐冷候选基因可视化结果 不同颜色代表不同的功能模块;节点大小代表P值,由小到大:[0.0001, 0.001),[1 e−10, 0.0001),[0, 1 e−10)。
Fig. 4. Visualization results of candidate genes for cold tolerance of rice seedlings Colors represent different functional modules. The node size represents the P value, from small to large: [0.0001, 0.001 ), [1 e−10, 0.0001 ), [0, 1 e−10).
| 序号 Serial | 染色体 Chr. | 基因 Gene | 已报道基因 Published tolerance gene | 基因名称 Gene name | 序号 Serial | 染色体 Chr. | 基因 Gene | 已报道基因 Published tolerance gene | 基因名称 Gene name |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | LOC_Os01g09450 | 35 | 5 | LOC_Os05g41070 | OsbZIP42; HBF1 | bZIP转录因子 | ||
| 2 | 1 | LOC_Os01g57730 | 36 | 5 | LOC_Os05g37690 | OsCOI1b | F-box蛋白 | ||
| 3 | 2 | LOC_Os02g51470 | 37 | 5 | LOC_Os05g40230 | ||||
| 4 | 2 | LOC_Os02g51150 | 38 | 5 | LOC_Os05g35290 | OsPAL7 | 苯丙氨酸脱氨酶 | ||
| 5 | 2 | LOC_Os02g14430 | OsPrx30 | 第三类过氧化物酶 | 39 | 5 | LOC_Os05g40420 | ||
| 6 | 2 | LOC_Os02g47020 | 40 | 5 | LOC_Os05g25640 | 细胞色素P450 | |||
| 7 | 2 | LOC_Os02g14440 | 41 | 6 | LOC_Os06g13720 | ||||
| 8 | 2 | LOC_Os02g07230 | OsSPL42 | 卟胆原脱氨酶 | 42 | 6 | LOC_Os06g06090 | OsMAPK6; OsMPK6 | 丝裂原活化蛋白激酶 |
| 9 | 3 | LOC_Os03g12350 | ORR1 | B型响应调节子 | 43 | 6 | LOC_Os06g29110 | ||
| 10 | 3 | LOC_Os03g58040 | 44 | 6 | LOC_Os06g27850 | ||||
| 11 | 3 | LOC_Os03g55410 | 45 | 6 | LOC_Os06g04070 | OsAdc1 | 精氨酸脱羧酶 | ||
| 12 | 3 | LOC_Os03g12030 | CUT1L; WSL4 | 脂肪酸延长酶 | 46 | 6 | LOC_Os06g10880 | OsAREB1; OsbZIP46 | bZIP转录因子 |
| 13 | 3 | LOC_Os03g57200 | 47 | 6 | LOC_Os06g14510 | ||||
| 14 | 3 | LOC_Os03g17070 | 48 | 6 | LOC_Os06g29220 | ||||
| 15 | 3 | LOC_Os03g59610 | OsABA2; XanDH | 黄质醛脱氢酶 | 49 | 6 | LOC_Os06g42130 | ||
| 16 | 3 | LOC_Os03g55600 | OsSAPK8 | 应激活化蛋白激酶 | 50 | 7 | LOC_Os07g31270 | ||
| 17 | 3 | LOC_Os03g58290 | 51 | 7 | LOC_Os07g31300 | ||||
| 18 | 3 | LOC_Os03g55800 | OsAOS1 | 丙二烯氧化物合酶 | 52 | 7 | LOC_Os07g31380 | ||
| 19 | 3 | LOC_Os03g58350 | OsIAA14 | Aux/IAA转录抑制因子 | 53 | 7 | LOC_Os07g30970 | OsNDPK1 | 核苷二磷酸激酶 |
| 20 | 3 | LOC_Os03g11720 | 54 | 8 | LOC_Os08g40680 | ||||
| 21 | 3 | LOC_Os03g59430 | 55 | 8 | LOC_Os08g41100 | ||||
| 22 | 4 | LOC_Os04g36054 | OsARF9 | 生长素应答因子 | 56 | 8 | LOC_Os08g41090 | ||
| 23 | 4 | LOC_Os04g35240 | OsSAPK7 | 应激活化蛋白激酶 | 57 | 8 | LOC_Os08g40690 | ||
| 24 | 4 | LOC_Os04g36680 | 58 | 8 | LOC_Os08g21590 | ||||
| 25 | 4 | LOC_Os04g40950 | OsGapC2 | 甘油醛-3-磷酸脱氢酶 | 59 | 9 | LOC_Os09g15850 | ||
| 26 | 4 | LOC_Os04g38950 | TDD1; OASB1 | 邻氨基苯甲酸合酶β亚基 | 60 | 9 | LOC_Os09g15420 | ||
| 27 | 4 | LOC_Os04g35520 | OsAPx7 | 抗坏血酸过氧化物酶 | 61 | 9 | LOC_Os09g15510 | ||
| 28 | 4 | LOC_Os04g16680 | OsSBPase | 景天庚酮糖-1,7-二磷酸酶 | 62 | 9 | LOC_Os09g15500 | ||
| 29 | 4 | LOC_Os04g41620 | OsChia2b; Cht4 | 几丁质酶 | 63 | 9 | LOC_Os09g15860 | ||
| 30 | 4 | LOC_Os04g39020 | OsALDH10A5; OsBADH1 | 甜菜碱醛脱氢酶 | 64 | 9 | LOC_Os09g15850 | ||
| 31 | 4 | LOC_Os04g37619 | ZEP1; OsABA1 | 玉米黄质环氧化酶 | 65 | 11 | LOC_Os11g11430 | OsIAA29 | Aux/IAA蛋白 |
| 32 | 5 | LOC_Os05g37170 | OsTGA1; OsbZIP41 | TGA转录因子 | 66 | 11 | LOC_Os11g11410 | OsIAA27 | 生长素应答因子 |
| 33 | 5 | LOC_Os05g37470 | OsAUX3; qGL5 | 生长素内向转运载体 | 67 | 11 | LOC_Os11g08300 | OsALDH3H2 | 水稻乙醛脱氢酶 |
| 34 | 5 | LOC_Os05g38170 | 68 | 12 | LOC_Os12g17600 | OsRBCS2 | 核酮糖-1,5-二磷酸羧化酶/加氧酶小亚基 |
表5 光合生物碳固定、碳代谢及植物激素信号转导等途径相关的差异表达基因
Table 5. Differentially expressed genes (DEGs) involved in carbon fixation, carbon metabolism, and plant hormone signal transduction pathways in photosynthetic organisms
| 序号 Serial | 染色体 Chr. | 基因 Gene | 已报道基因 Published tolerance gene | 基因名称 Gene name | 序号 Serial | 染色体 Chr. | 基因 Gene | 已报道基因 Published tolerance gene | 基因名称 Gene name |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | LOC_Os01g09450 | 35 | 5 | LOC_Os05g41070 | OsbZIP42; HBF1 | bZIP转录因子 | ||
| 2 | 1 | LOC_Os01g57730 | 36 | 5 | LOC_Os05g37690 | OsCOI1b | F-box蛋白 | ||
| 3 | 2 | LOC_Os02g51470 | 37 | 5 | LOC_Os05g40230 | ||||
| 4 | 2 | LOC_Os02g51150 | 38 | 5 | LOC_Os05g35290 | OsPAL7 | 苯丙氨酸脱氨酶 | ||
| 5 | 2 | LOC_Os02g14430 | OsPrx30 | 第三类过氧化物酶 | 39 | 5 | LOC_Os05g40420 | ||
| 6 | 2 | LOC_Os02g47020 | 40 | 5 | LOC_Os05g25640 | 细胞色素P450 | |||
| 7 | 2 | LOC_Os02g14440 | 41 | 6 | LOC_Os06g13720 | ||||
| 8 | 2 | LOC_Os02g07230 | OsSPL42 | 卟胆原脱氨酶 | 42 | 6 | LOC_Os06g06090 | OsMAPK6; OsMPK6 | 丝裂原活化蛋白激酶 |
| 9 | 3 | LOC_Os03g12350 | ORR1 | B型响应调节子 | 43 | 6 | LOC_Os06g29110 | ||
| 10 | 3 | LOC_Os03g58040 | 44 | 6 | LOC_Os06g27850 | ||||
| 11 | 3 | LOC_Os03g55410 | 45 | 6 | LOC_Os06g04070 | OsAdc1 | 精氨酸脱羧酶 | ||
| 12 | 3 | LOC_Os03g12030 | CUT1L; WSL4 | 脂肪酸延长酶 | 46 | 6 | LOC_Os06g10880 | OsAREB1; OsbZIP46 | bZIP转录因子 |
| 13 | 3 | LOC_Os03g57200 | 47 | 6 | LOC_Os06g14510 | ||||
| 14 | 3 | LOC_Os03g17070 | 48 | 6 | LOC_Os06g29220 | ||||
| 15 | 3 | LOC_Os03g59610 | OsABA2; XanDH | 黄质醛脱氢酶 | 49 | 6 | LOC_Os06g42130 | ||
| 16 | 3 | LOC_Os03g55600 | OsSAPK8 | 应激活化蛋白激酶 | 50 | 7 | LOC_Os07g31270 | ||
| 17 | 3 | LOC_Os03g58290 | 51 | 7 | LOC_Os07g31300 | ||||
| 18 | 3 | LOC_Os03g55800 | OsAOS1 | 丙二烯氧化物合酶 | 52 | 7 | LOC_Os07g31380 | ||
| 19 | 3 | LOC_Os03g58350 | OsIAA14 | Aux/IAA转录抑制因子 | 53 | 7 | LOC_Os07g30970 | OsNDPK1 | 核苷二磷酸激酶 |
| 20 | 3 | LOC_Os03g11720 | 54 | 8 | LOC_Os08g40680 | ||||
| 21 | 3 | LOC_Os03g59430 | 55 | 8 | LOC_Os08g41100 | ||||
| 22 | 4 | LOC_Os04g36054 | OsARF9 | 生长素应答因子 | 56 | 8 | LOC_Os08g41090 | ||
| 23 | 4 | LOC_Os04g35240 | OsSAPK7 | 应激活化蛋白激酶 | 57 | 8 | LOC_Os08g40690 | ||
| 24 | 4 | LOC_Os04g36680 | 58 | 8 | LOC_Os08g21590 | ||||
| 25 | 4 | LOC_Os04g40950 | OsGapC2 | 甘油醛-3-磷酸脱氢酶 | 59 | 9 | LOC_Os09g15850 | ||
| 26 | 4 | LOC_Os04g38950 | TDD1; OASB1 | 邻氨基苯甲酸合酶β亚基 | 60 | 9 | LOC_Os09g15420 | ||
| 27 | 4 | LOC_Os04g35520 | OsAPx7 | 抗坏血酸过氧化物酶 | 61 | 9 | LOC_Os09g15510 | ||
| 28 | 4 | LOC_Os04g16680 | OsSBPase | 景天庚酮糖-1,7-二磷酸酶 | 62 | 9 | LOC_Os09g15500 | ||
| 29 | 4 | LOC_Os04g41620 | OsChia2b; Cht4 | 几丁质酶 | 63 | 9 | LOC_Os09g15860 | ||
| 30 | 4 | LOC_Os04g39020 | OsALDH10A5; OsBADH1 | 甜菜碱醛脱氢酶 | 64 | 9 | LOC_Os09g15850 | ||
| 31 | 4 | LOC_Os04g37619 | ZEP1; OsABA1 | 玉米黄质环氧化酶 | 65 | 11 | LOC_Os11g11430 | OsIAA29 | Aux/IAA蛋白 |
| 32 | 5 | LOC_Os05g37170 | OsTGA1; OsbZIP41 | TGA转录因子 | 66 | 11 | LOC_Os11g11410 | OsIAA27 | 生长素应答因子 |
| 33 | 5 | LOC_Os05g37470 | OsAUX3; qGL5 | 生长素内向转运载体 | 67 | 11 | LOC_Os11g08300 | OsALDH3H2 | 水稻乙醛脱氢酶 |
| 34 | 5 | LOC_Os05g38170 | 68 | 12 | LOC_Os12g17600 | OsRBCS2 | 核酮糖-1,5-二磷酸羧化酶/加氧酶小亚基 |
| [1] | 姜树坤. 寒地水稻低温冷害的致灾机理与减灾保产关键技术[M]. 哈尔滨: 黑龙江科学技术出版社, 2021: 55-58. |
| Jiang S K. Disaster mechanism of low temperature chilling injury of rice in cold region and key technologies for reducing disaster and ensuring yield[M]. Harbin: Heilongjiang Science and Technology Press, 2021: 55-58. (in Chinese) | |
| [2] | 徐敏, 徐经纬, 高苹, 于庚康, 单婵. 江苏水稻障碍型冷害时空变化特征及敏感性分析[J]. 气象, 2015, 41(11): 1367-1373. |
| Xu M, Xu J W, Gao P, Yu G K, Shan C. Analysis of spatiotemporal variation characteristics and sensitivity of rice sterile-type chilling injury in Jiangsu[J]. Meteorological Monthly, 2015, 41(11): 1367-1373. (in Chinese with English abstract) | |
| [3] | 张喜娟, 来永才, 曾山. 寒地水稻直播栽培机理与技术[M]. 北京: 中国农业出版社, 2018: 21-29. |
| Zhang X J, Lai Y C, Zeng S. Mechanism and technology of direct seeding cultivation of rice in cold region[M]. Beijing: China Agriculture Press, 2018: 21-29. (in Chinese) | |
| [4] | Zu X, Luo L, Wang Z, Gong J, Yang C, Wang Y, Xu C, Qiao X, Deng X, Song X, Chen C, Tan B C, Cao X. A mitochondrial pentatricopeptide repeat protein enhances cold tolerance by modulating mitochondrial superoxide in rice[J]. Nature Communications, 2023, 14(1): 6789. |
| [5] | Qian Q, Zeng D, He P, Zheng X, Chen Y, Zhu L. QTL analysis of the rice seedling cold tolerance in a double haploid population derived from anther culture of a hybrid between indica and japonica rice[J]. Chinese Science Bulletin, 2000, 45(5): 448-453. |
| [6] | Andaya V C, MacKill D J. Mapping of QTLs associated with cold tolerance during the vegetative stage in rice[J]. Journal of Experimental Botany, 2003, 54(392): 2579-2585. |
| [7] | 韩龙植, 张三元, 乔永利, 阮仁超, 张俊国, 曹桂兰, 高熙宗. 冷水胁迫下水稻幼苗期根系性状的QTL分析[J]. 作物学报, 2005, 31(11): 1415-1421. |
| Han L Z, Zhang S Y, Qiao Y L, Ruan R C, Zhang J G, Cao G L, Gao X Z. QTL analysis of root traits at the seedling stage in rice under cold water irrigation[J]. Acta Agronomica Sinica, 2005, 31(11): 1415-1421. (in Chinese) | |
| [8] | Lou Q, Chen L, Sun Z, Xing Y, Li J, Xu X, Mei H, Luo L. A major QTL associated with cold tolerance at seedling stage in rice (Oryza sativa L.)[J]. Euphytica, 2007, 158(1): 87-94. |
| [9] | Jiang L, Xun M, Wang J, Wan J. QTL analysis of cold tolerance at seedling stage in rice (Oryza sativa L.) using recombination inbred lines[J]. Journal of Cereal Science, 2008, 48(1): 173-179. |
| [10] | Suh J P, Lee C K, Lee J H, Kim J J, Kim S M, Cho Y C, Park S H, Shin J C, Kim Y G, Jena K K. Identification of quantitative trait loci for seedling cold tolerance using RILs derived from a cross between japonica and tropical japonica rice cultivars[J]. Euphytica, 2012, 184(1): 101-108. |
| [11] | Cheng L R, Wang J M, Uzokwe V, Meng L J, Wang Y, Sun Y, Zhu L H, Xu J L, Li Z K. Genetic analysis of cold tolerance at seedling stage and heat tolerance at anthesis in rice (Oryza sativa L.)[J]. Journal of Integrative Agriculture, 2012, 11(3): 359-367. |
| [12] | Goffinet B, Gerber S. Quantitative trait loci: A meta-analysis[J]. Genetics, 2000, 155(1): 463-473. |
| [13] | 郭书磊, 张君, 齐建双, 岳润清, 韩小花, 燕树锋, 卢彩霞, 傅晓雷, 陈娜娜, 库丽霞, 铁双贵. 玉米叶形相关性状的Meta-QTL及候选基因分析[J]. 植物学报, 2018, 53(4): 487-501. |
| Guo S L, Zhang J, Qi J S, Yue R Q, Han X H, Yan S F, Lu C X, Fu X L, Chen N N, Ku L X, Tie S G. Analysis of meta-quantitative trait loci and their candidate genes related to leaf shape in maize[J]. Chinese Bulletin of Botany, 2018, 53(4): 487-501. (in Chinese with English abstract) | |
| [14] | 江培顺, 张焕欣, 吕香玲, 郝转芳, 李博, 李明顺, 王宏伟, 慈晓科, 张世煌. 玉米产量相关性状Meta-QTL及候选基因分析[J]. 作物学报, 2013, 39(6): 969-978. |
| Jiang P S, Zhang H X, Lü X L, Hao Z F, Li B, Li M S, Wang H W, Ci X K, Zhang S H. Analysis of meta-QTL and candidate genes related to yield components in maize[J]. Acta Agronomica Sinica, 2013, 39(6): 969-978. (in Chinese) | |
| [15] | Yin Z, Qi H, Chen Q, Zhang Z, Jiang H, Zhu R, Hu Z, Wu X, Li C, Zhang Y, Liu C, Hu G, Xin D, Qi Z. Soybean plant height QTL mapping and meta-analysis for mining candidate genes[J]. Plant Breeding, 2017, 136(5): 688-698. |
| [16] | Gong Q C, Yu H X, Mao X R, Qi H D, Shi Y, Xiang W, Chen Q S, Qi Z M. Meta-analysis of soybean amino acid QTLs and candidate gene mining[J]. Journal of Integrative Agriculture, 2018, 17(5): 1074-1084. |
| [17] | Courtois B, Ahmadi N, Khowaja F, Price A H, Rami J F, Frouin J, Hamelin C, Ruiz M. Rice root genetic architecture: Meta-analysis from a drought QTL database[J]. Rice, 2009, 2(2): 115-128. |
| [18] | Tian T, Chen L, Ai Y, He H. Selection of candidate genes conferring blast resistance and heat tolerance in rice through integration of meta-QTLs and RNA-seq[J]. Genes, 2022, 13(2): 224. |
| [19] | 邱红梅, 厉志, 于妍, 高淑芹, 马晓萍, 郑宇宏, 孟凡凡, 侯云龙, 王跃强. 基于元分析的大豆含硫氨基酸相关基因挖掘与信息学分析[J]. 中国油料作物学报, 2015, 37(2): 141-147. |
| Qiu H M, Li Z, Yu Y, Gao S Q, Ma X P, Zheng Y H, Meng F F, Hou Y L, Wang Y Q. Mining and analysis of genes related to sulfur-containing amino acids in soybean based on Meta-QTL[J]. Chinese Journal of Oil Crop Sciences, 2015, 37(2): 141-147. (in Chinese) | |
| [20] | 刘鑫, 甄善继, 王家军, 王洋. 大豆根长QTL的Meta分析及候选基因挖掘[J]. 大豆科学, 2023, 42(1): 32-40. |
| Liu X, Zhen S J, Wang J J, Wang Y. Meta-analysis and candidate gene mining of soybean root length QTLs[J]. Soybean Science, 2023, 42(1): 32-40. (in Chinese with English abstract) | |
| [21] | Darvasi A, Soller M. A simple method to calculate resolving power and confidence interval of QTL map location[J]. Behavior Genetics, 1997, 27(2): 125-132. |
| [22] | Guo B, Sleper D A, Lu P, Shannon J G, Nguyen H T, Arelli P R. QTLs associated with resistance to soybean cyst nematode in soybean meta-analysis of QTL locations: Retraction[J]. Crop Science, 2006, 46(1): 202. |
| [23] | Courtois B, Ahmadi N, Khowaja F, Price A H, Rami J F, Frouin J, Hamelin C, Ruiz M. Rice root genetic architecture: Meta-analysis from a drought QTL database[J]. Rice, 2009, 2(2): 115-128. |
| [24] | 田甜, 陈丽娟, 何华勤. 基于Meta-QTL和RNA-seq的整合分析挖掘水稻抗稻瘟病候选基因[J]. 作物学报, 2022(6): 1372-1388. |
| Tian T, Chen L J, He H Q. Identification of rice blast resistance candidate genes based on integrating Meta-QTL and RNA-seq analysis[J]. Acta Agronomica Sinica, 2022(6): 1372-1388. (in Chinese with English abstract) | |
| [25] | Ashburner M, Ball C A, Blake J A, Botstein D, Butler H, Cherry J M, Davis A P, Dolinski K, Dwight S S, Eppig J T, Harris M A, Hill D P, Issel-Tarver L, Kasarskis A, Lewis S, Matese J C, Richardson J E, Ringwald M, Rubin G M, Sherlock G. Gene Ontology: Tool for the unification of biology[J]. Nature Genetics, 2000, 25(1): 25-29. |
| [26] | 屈婷婷, 陈立艳, 章志宏, 胡中立, 李平, 朱立煌, 朱英国. 水稻籼粳交DH群体苗期耐冷性基因的分子标记定位[J]. 武汉植物学研究, 2003, 21(5): 385-389. |
| Qu T T, Chen L Y, Zhang Z H, Hu Z L, Li P, Zhu L H, Zhu Y G. Molecular mapping of genes conferring cold tolerance at seedling stage using doubled haploid lines from an indica-Japonica cross in rice[J]. Journal of Wuhan Botanical Research, 2003, 21(5): 385-389. (in Chinese with English abstract) | |
| [27] | 胡莹, 王奕众. 水稻RIL群体苗期耐冷性QTL分析[J]. 武汉植物学研究, 2005, 23(3): 211-215. |
| Hu Y, Wang Y Z. Mapping of QTL controlling seedling cold tolerance using recombinant inbred lines of rice (Oryza sativa L.)[J]. Journal of Wuhan Botanical Research, 2005, 23(3): 211-215. (in Chinese) | |
| [28] | 吴杏春, 王茵, 林文雄. 水稻苗期耐冷性状的QTL分析[J]. 中国生态农业学报, 2008, 16(4): 1067-1069. |
| Wu X C, Wang Y, Lin W X. QTL mapping in controlling seedling cold tolerance in rice (Oryza sativa L.)[J]. Chinese Journal of Eco-Agriculture, 2008, 16(4): 1067-1069. (in Chinese) | |
| [29] | 刘晓, 巩迎军, 董彦君, 林冬枝. 一个水稻苗期耐冷性的主效QTL精细定位研究[J]. 中国农学通报, 2009, 25(22): 62-66. |
| Liu X, Gong Y J, Dong Y J, Lin D Z. Study on fine mapping of a major QTL for cold tolerance at seedling stage of rice[J]. Chinese Agricultural Science Bulletin, 2009, 25(22): 62-66. (in Chinese with English abstract) | |
| [30] | 夏瑞祥, 肖宁, 洪义欢, 张超, 苏琰, 张小蒙, 陈建民. 东乡野生稻苗期耐冷性的QTL定位[J]. 中国农业科学, 2010, 43(3): 443-451. |
| Xia R X, Xiao N, Hong Y H, Zhang C, Su Y, Zhang X M, Chen J M. QTLs mapping for cold tolerance at seedling stage in Dongxiang wild rice (Oryza rufipogon Griff.)[J]. Scientia Agricultura Sinica, 2010, 43(3): 443-451. (in Chinese with English abstract) | |
| [31] | 姜树坤, 张喜娟, 姜辉, 孙世臣, 洛育, 白良明, 徐正进, 张凤鸣. 水稻苗期抗冷QTL的检测[J]. 沈阳农业大学学报, 2011, 42(6): 654-657. |
| Jiang S K, Zhang X J, Jiang H, Sun S C, Luo Y, Bai L M, Xu Z J, Zhang F M. Detection of QTLs for cold tolerance at seedling stage in rice[J]. Journal of Shenyang Agricultural University, 2011, 42(6): 654-657. (in Chinese) | |
| [32] | Liu F, Xu W, Song Q, Tan L, Liu J, Zhu Z, Fu Y, Su Z, Sun C. Microarray-assisted fine-mapping of quantitative trait loci for cold tolerance in rice[J]. Molecular Plant, 2013, 6(3): 757-767. |
| [33] | Zhang S, Zheng J, Liu B, Peng S, Leung H, Zhao J, Wang X, Yang T, Huang Z. Identification of QTLs for cold tolerance at seedling stage in rice (Oryza sativa L.) using two distinct methods of cold treatment[J]. Euphytica, 2014, 195(1): 95-104. |
| [34] | Ranawake A L, Manangkil O E, Yoshida S, Ishii T, Mori N, Nakamura C. Mapping QTLs for cold tolerance at germination and the early seedling stage in rice (Oryza sativa L.)[J]. Biotechnology & Biotechnological Equipment, 2014, 28(6): 989-998. |
| [35] | Kim S M, Suh J P, Lee C K, Lee J H, Kim Y G, Jena K K. QTL mapping and development of candidate gene-derived DNA markers associated with seedling cold tolerance in rice (Oryza sativa L.)[J]. Molecular Genetics and Genomics, 2014, 289(3): 333-343. |
| [36] | Verma S K, Xalxo M S, Saxena R R, Verulkar S B. Identification of QTLs for cold tolerance at seedling stage in rice (Oryza sativa L.)[J]. Indian Journal of Genetics and Plant Breeding (the), 2014, 74(1): 86. |
| [37] | Liu W Q, Lu T T, Li Y C, Pan X W, Duan Y H, Min J, Fu X Q, Sheng X N, Xiao J Z, Liu S X, Tan J, Yao Y, Li X X. Mapping of quantitative trait loci for cold tolerance at the early seedling stage in landrace rice Xiang 743[J]. Euphytica, 2015, 201(3): 401-409. |
| [38] | Mao D, Yu L, Chen D, Li L, Zhu Y, Xiao Y, Zhang D, Chen C. Multiple cold resistance loci confer the high cold tolerance adaptation of Dongxiang wild rice (Oryza rufipogon) to its high-latitude habitat[J]. Theoretical and Applied Genetics, 2015, 128(7): 1359-1371. |
| [39] | 彭强, 张大双, 吴健强, 王际凤, 黄培英, 朱速松. 水稻苗期耐冷性的QTL定位分析[J]. 贵州农业科学, 2015, 43(5): 11-13, 18. |
| Peng Q, Zhang D S, Wu J Q, Wang J F, Huang P Y, Zhu S S. QTL analysis of cold-tolerance at seedling stage in rice[J]. Guizhou Agricultural Sciences, 2015, 43(5): 11-13, 18. (in Chinese with English abstract) | |
| [40] | Luo X D, Zhao J, Dai L F, Zhang F T, Zhou Y, Wan Y, Xie J K. Linkage map construction and QTL mapping for cold tolerance in Oryza rufipogon Griff. at early seedling stage[J]. Journal of Integrative Agriculture, 2016, 15(12): 2703-2711. |
| [41] | Biswas P S, Khatun H, Das N, Sarker M M, Anisuzzaman M. Mapping and validation of QTLs for cold tolerance at seedling stage in rice from an indica cultivar Habiganj Boro VI (Hbj.BVI)[J]. 3 Biotech, 2017, 7(6): 359. |
| [42] | Yu S, Li M, Xiao Y, Huang D, Chen D. Mapping QTLs for cold tolerance at seedling stage using an Oryza sativa × O. rufipogon backcross inbred line population[J]. Czech Journal of Genetics and Plant Breeding, 2018, 54(2): 59-64. |
| [43] | 吴爱婷, 宋佳谕, 胡涛, 刘思彤, 高继平, 黄丽湘, 高银隆, 赵明辉. 超级稻沈农265苗期耐冷性QTL定位[J]. 核农学报, 2018, 32(8): 1477-1482. |
| Wu A T, Song J Y, Hu T, Liu S T, Gao J P, Huang L X, Gao Y L, Zhao M H. QTLs mapping for cold tolerance at seedling stage in super rice variety Shennong 265[J]. Journal of Nuclear Agricultural Sciences, 2018, 32(8): 1477-1482. (in Chinese) | |
| [44] | Deng X, Gan L, Liu Y, Luo A, Jin L, Chen J, Tang R, Lei L, Tang J, Zhang J, Zhao Z. Locating QTLs controlling overwintering seedling rate in perennial glutinous rice 89-1 (Oryza sativa L.)[J]. Genes & Genomics, 2018, 40(12): 1351-1361. |
| [45] | Li L, Mao D. Deployment of cold tolerance loci from Oryza sativa ssp. japonica cv. ‘Nipponbare’ in a high-yielding Indica rice cultivar ‘93-11’[J]. Plant Breeding, 2018, 137(4): 553-560. |
| [46] | Das N, Alam N, Hossain K, Biswas P S. Mapping quantitative trait loci for cold tolerance in rice at seedling stage[J]. Bangladesh Journal of Botany, 2020, 48(4): 1021-1028. |
| [47] | 王棋, 范淑秀, 郭江华, 陈兆赫, 梁银培, 刘振宇, 殷业超, 王嘉宇. 利用籼粳交RIL群体对水稻发芽期和苗期耐冷性的QTL分析[J]. 华北农学报, 2019, 34(1): 83-88. |
| Wang Q, Fan S X, Guo J H, Chen Z H, Liang Y P, Liu Z Y, Yin Y C, Wang J Y. QTL analysis of cold tolerance at germination and seedling stages of rice[J]. Acta Agriculturae Boreali-Sinica, 2019, 34(1): 83-88. (in Chinese) | |
| [48] | Liu H, Yang L, Xu S, Lü M J, Wang J, Wang H, Zheng H, Xin W, Liu J, Zou D. OsWRKY115 on qCT7 links to cold tolerance in rice[J]. Theoretical and Applied Genetics, 2022, 135(7): 2353-2367. |
| [49] | Guo Z, Yao J, Cheng Y, Zhang W, Xu Z, Li M, Huang J, Ma D, Zhao M. Identification of QTL under brassinosteroid-combined cold treatment at seedling stage in rice using genotyping-by-sequencing (GBS)[J]. Plants, 2022, 11(17): 2324. |
| [50] | Shi H, Zhang W, Cao H, Zhai L, Song Q, Xu J. Identification of candidate genes for cold tolerance at seedling stage by GWAS in rice (Oryza sativa L.)[J]. Biology, 2024, 13(10): 784. |
| [51] | 杨传铭, 王立志, 张喜娟, 杨贤莉, 王洋洋, 侯本福, 崔士泽, 李青超, 刘凯, 马瑞, 冯延江, 来永才, 李红宇, 姜树坤. 基于高密度遗传图谱的粳稻苗期耐冷QTL分析[J]. 中国水稻科学, 2025, 39(1): 82-91. |
| Yang C M, Wang L Z, Zhang X J, Yang X L, Wang Y Y, Hou B F, Cui S Z, Li Q C, Liu K, Ma R, Feng Y J, Lai Y C, Li H Y, Jiang S K. Analysis of QTL controlling cold tolerance at seedling stage by using a high-density SNP linkage map in Japonica rice[J]. Chinese Journal of Rice Science, 2025, 39(1): 82-91. (in Chinese with English abstract) | |
| [52] | Singh G, Pradhan A K, Das Jyoti S, Harper C L, Elumalai P, Sanchez D L, Samonte S O P, Talukder S K. Deciphering the genomic regions associated with seedling cold tolerance traits in rice (Oryza sativa L.)[J]. Plant Stress, 2025, 15: 100707. |
| [53] | Islam M S, Ontoy J, Subudhi P K. Meta-analysis of quantitative trait loci associated with seedling-stage salt tolerance in rice (Oryza sativa L.)[J]. Plants, 2019, 8(2): 33. |
| [54] | Xiong D, Wang J, Wang R, Wang Y, Li Y, Sun G, Yao S. A point mutation in VIG1 boosts development and chilling tolerance in rice[J]. Nature Communications, 2024, 15(1): 8212. |
| [55] | Wu J, Liu H, Zhang Y, Zhang Y, Li D, Liu S, Lu S, Wei L, Hua J, Zou B. A major gene for chilling tolerance variation in Indica rice codes for a kinase OsCTK1 that phosphorylates multiple substrates under cold[J]. The New Phytologist, 2024, 242(5): 2077-2092. |
| [56] | Shi Y, Phan H, Liu Y, Cao S, Zhang Z, Chu C, Schläppi M R. Glycosyltransferase OsUGT90A1 helps protect the plasma membrane during chilling stress in rice[J]. Journal of Experimental Botany, 2020, 71(9): 2723-2739. |
| [57] | Guo X, Zhang D, Wang Z, Xu S, Batistič O, Steinhorst L, Li H, Weng Y, Ren D, Kudla J, Xu Y, Chong K. Cold-induced calreticulin OsCRT3 conformational changes promote OsCIPK7 binding and temperature sensing in rice[J]. The EMBO Journal, 2023, 42(1): e110518. |
| [58] | Byun M Y, Cui L H, Oh T K, Jung Y J, Lee A, Park K Y, Kang B G, Kim W T. Homologous U-box E3 ubiquitin ligases OsPUB2 and OsPUB3 are involved in the positive regulation of low temperature stress response in rice (Oryza sativa L.)[J]. Frontiers in Plant Science, 2017, 8: 16. |
| [59] | Khan M I R, Kumari S, Nazir F, Khanna R R, Gupta R, Chhillar H. Defensive role of plant hormones in advancing abiotic stress-resistant rice plants[J]. Rice Science, 2023, 30(1): 15-35. |
| [60] | Chen M, Presting G, Barbazuk W B, Goicoechea J L, Blackmon B, Fang G, Kim H, Frisch D, Yu Y, Sun S, Higingbottom S, Phimphilai J, Phimphilai D, Thurmond S, Gaudette B, Li P, Liu J, Hatfield J, Main D, Farrar K, Henderson C, Barnett L, Costa R, Williams B, Walser S, Atkins M, Hall C, Budiman M A, Tomkins J P, Luo M, Bancroft I, Salse J, Regad F, Mohapatra T, Singh N K, Tyagi A K, Soderlund C, Dean R A, Wing R A. An integrated physical and genetic map of the rice genome[J]. The Plant Cell, 2002, 14(3): 537-545. |
| [61] | Chaikam V, Karlson D T. Response and transcriptional regulation of rice SUMOylation system during development and stress conditions[J]. BMB Reports, 2010, 43(2): 103-109. |
| [62] | Miura K, Ohta M. SIZ1, a small ubiquitin-related modifier ligase, controls cold signaling through regulation of salicylic acid accumulation[J]. Journal of Plant Physiology, 2010, 167(7): 555-560. |
| [63] | Hossain M A, Cho J I, Han M, Ahn C H, Jeon J S, An G, Park P B. The ABRE-binding bZIP transcription factor OsABF2 is a positive regulator of abiotic stress and ABA signaling in rice[J]. Journal of Plant Physiology, 2010, 167(17): 1512-1520. |
| [64] | Liu X, Hu Q, Yan J, Sun K, Liang Y, Jia M, Meng X, Fang S, Wang Y, Jing Y, Liu G, Wu D, Chu C, Smith S M, Chu J, Wang Y, Li J, Wang B. ζ-carotene isomerase suppresses tillering in rice through the coordinated biosynthesis of strigolactone and abscisic acid[J]. Molecular Plant, 2020, 13(12): 1784-1801. |
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