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Zhong W, Wu L, Li Y, Li X, Wang J, Pan J, Zhu S, Fang S, Yao J, Zhang Y, Chen W. GhSBI1, a CUP-SHAPED COTYLEDON 2 homologue, modulates branch internode elongation in cotton. PLANT BIOTECHNOLOGY JOURNAL 2024. [PMID: 39058556 DOI: 10.1111/pbi.14439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/18/2024] [Accepted: 07/07/2024] [Indexed: 07/28/2024]
Abstract
Branch length is an important plant architecture trait in cotton (Gossypium) breeding. Development of cultivars with short branch has been proposed as a main object to enhance cotton yield potential, because they are suitable for high planting density. Here, we report the molecular cloning and characterization of a semi-dominant quantitative trait locus, Short Branch Internode 1(GhSBI1), which encodes a NAC transcription factor homologous to CUP-SHAPED COTYLEDON 2 (CUC2) and is regulated by microRNA ghr-miR164. We demonstrate that a point mutation found in sbi1 mutants perturbs ghr-miR164-directed regulation of GhSBI1, resulting in an increased expression level of GhSBI1. The sbi1 mutant was sensitive to exogenous gibberellic acid (GA) treatments. Overexpression of GhSBI1 inhibited branch internode elongation and led to the decreased levels of bioactive GAs. In addition, gene knockout analysis showed that GhSBI1 is required for the maintenance of the boundaries of multiple tissues in cotton. Transcriptome analysis revealed that overexpression of GhSBI1 affects the expression of plant hormone signalling-, axillary meristems initiation-, and abiotic stress response-related genes. GhSBI1 interacted with GAIs, the DELLA repressors of GA signalling. GhSBI1 represses expression of GA signalling- and cell elongation-related genes by directly targeting their promoters. Our work thus provides new insights into the molecular mechanisms for branch length and paves the way for the development of elite cultivars with suitable plant architecture in cotton.
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Affiliation(s)
- Weiping Zhong
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Lanxin Wu
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Yan Li
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
| | - Xiaxuan Li
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Junyi Wang
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Jingwen Pan
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Shouhong Zhu
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
| | - Shentao Fang
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
| | - Jinbo Yao
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
| | - Yongshan Zhang
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Wei Chen
- State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, Xinjiang, China
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
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2
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Liu Y, Li H, Liu J, Wang Y, Jiang C, Zhou Z, Zhuo L, Li W, Fernie AR, Jackson D, Yan J, Luo Y. The additive function of YIGE2 and YIGE1 in regulating maize ear length. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024. [PMID: 38804053 DOI: 10.1111/tpj.16851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/06/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024]
Abstract
Ear length (EL) is a key trait that greatly contributes to yield in maize. Although dozens of EL quantitative trait loci have been mapped, very few causal genes have been cloned, and the molecular mechanisms remain largely unknown. Our previous study showed that YIGE1 is involved in sugar and auxin pathways to regulate ear inflorescence meristem (IM) development and thus affects EL in maize. Here, we reveal that YIGE2, the paralog of YIGE1, regulates maize ear development and EL through auxin pathway. Knockout of YIGE2 causes a significant decrease of auxin level, IM length, floret number, EL, and grain yield. yige1 yige2 double mutants had even shorter IM and ears implying that these two genes redundantly regulate IM development and EL. The genes controlling auxin levels are differential expressed in yige1 yige2 double mutants, leading to lower auxin level. These results elucidated the critical role of YIGE2 and the redundancy between YIGE2 and YIGE1 in maize ear development, providing a new genetic resource for maize yield improvement.
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Affiliation(s)
- Yu Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Huinan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Jie Liu
- Yazhouwan National Laboratory, Sanya, 572024, China
| | - Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Chenglin Jiang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Ziqi Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Lin Zhuo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Wenqiang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, 14476, Germany
| | - David Jackson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, 11724, USA
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
- Yazhouwan National Laboratory, Sanya, 572024, China
| | - Yun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
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3
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Han D, Zhao X, Zhang D, Wang Z, Zhu Z, Sun H, Qu Z, Wang L, Liu Z, Zhu X, Yuan M. Genome-wide association studies reveal novel QTLs for agronomic traits in soybean. FRONTIERS IN PLANT SCIENCE 2024; 15:1375646. [PMID: 38807775 PMCID: PMC11132100 DOI: 10.3389/fpls.2024.1375646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/15/2024] [Indexed: 05/30/2024]
Abstract
Introduction Soybean, as a globally significant crop, has garnered substantial attention due to its agricultural importance. The utilization of molecular approaches to enhance grain yield in soybean has gained popularity. Methods In this study, we conducted a genome-wide association study (GWAS) using 156 Chinese soybean accessions over a two-year period. We employed the general linear model (GLM) and the mixed linear model (MLM) to analyze three agronomic traits: pod number, grain number, and grain weight. Results Our findings revealed significant associations between qgPNpP-98, qgGNpP-89 and qgHGW-85 QTLs and pod number, grain number, and grain weight, respectively. These QTLs were identified on chromosome 16, a region spanning 413171bp exhibited associations with all three traits. Discussion These QTL markers identified in this study hold potential for improving yield and agronomic traits through marker-assisted selection and genomic selection in breeding programs.
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Affiliation(s)
- Dongwei Han
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
- Heilongjiang Chinese Academy of Sciences Qiuying Zhang Soybean Scientist Studio, Qiqihar, Heilongjiang, China
| | - Xi Zhao
- Biotechnology Institute, Heilongjiang Academy of Agricultural Science, Harbin, Heilongjiang, China
| | - Di Zhang
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
| | - Zhen Wang
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
| | - Zhijia Zhu
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
| | - Haoyue Sun
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
| | - Zhongcheng Qu
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
| | - Lianxia Wang
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
| | - Zhangxiong Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xu Zhu
- Department of Research and Development, Ruibiotech Co., Ltd, Beijing, China
| | - Ming Yuan
- Qiqihar Branch of Heilongjiang Academy of Agricultural Science, Qiqihar, Heilongjiang, China
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4
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Wang Y, Luo Y, Guo X, Li Y, Yan J, Shao W, Wei W, Wei X, Yang T, Chen J, Chen L, Ding Q, Bai M, Zhuo L, Li L, Jackson D, Zhang Z, Xu X, Yan J, Liu H, Liu L, Yang N. A spatial transcriptome map of the developing maize ear. NATURE PLANTS 2024; 10:815-827. [PMID: 38745100 DOI: 10.1038/s41477-024-01683-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 04/03/2024] [Indexed: 05/16/2024]
Abstract
A comprehensive understanding of inflorescence development is crucial for crop genetic improvement, as inflorescence meristems give rise to reproductive organs and determine grain yield. However, dissecting inflorescence development at the cellular level has been challenging owing to a lack of specific marker genes to distinguish among cell types, particularly in different types of meristems that are vital for organ formation. In this study, we used spatial enhanced resolution omics-sequencing (Stereo-seq) to construct a precise spatial transcriptome map of the developing maize ear primordium, identifying 12 cell types, including 4 newly defined cell types found mainly in the inflorescence meristem. By extracting the meristem components for detailed clustering, we identified three subtypes of meristem and validated two MADS-box genes that were specifically expressed at the apex of determinate meristems and involved in stem cell determinacy. Furthermore, by integrating single-cell RNA transcriptomes, we identified a series of spatially specific networks and hub genes that may provide new insights into the formation of different tissues. In summary, this study provides a valuable resource for research on cereal inflorescence development, offering new clues for yield improvement.
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Affiliation(s)
- Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xing Guo
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
- BGI Research, Wuhan, China
| | - Yunfu Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jiali Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Wenwen Shao
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
- BGI Research, Wuhan, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Wenjie Wei
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiaofeng Wei
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
- China National GeneBank, Shenzhen, China
| | - Tao Yang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
- China National GeneBank, Shenzhen, China
| | - Jing Chen
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
- China National GeneBank, Shenzhen, China
| | - Lihua Chen
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
| | - Qian Ding
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Minji Bai
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Lin Zhuo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Li Li
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
| | - David Jackson
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Zuxin Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Xun Xu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China.
- Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Shenzhen, China.
| | - Lei Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
- Hubei Hongshan Laboratory, Wuhan, China.
| | - Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
- Hubei Hongshan Laboratory, Wuhan, China.
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5
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Liang Z, Xi N, Liu T, Li M, Sang M, Zou C, Chen Z, Yuan G, Pan G, Ma L, Shen Y. A combination of QTL mapping and genome-wide association study revealed the key gene for husk number in maize. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:112. [PMID: 38662228 DOI: 10.1007/s00122-024-04617-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/07/2024] [Indexed: 04/26/2024]
Abstract
KEY MESSAGE Two key genes Zm00001d021232 and Zm00001d048138 were identified by QTL mapping and GWAS. Additionally, they were verified to be significantly associated with maize husk number (HN) using gene-based association study. As a by-product of maize production, maize husk is an important industrial raw material. Husk layer number (HN) is an important trait that affects the yield of maize husk. However, the genetic mechanism underlying HN remains unclear. Herein, a total of 13 quantitative trait loci (QTL) controlling HN were identified in an IBM Syn 10 DH population across different locations. Among these, three QTL were individually repeatedly detected in at least two environments. Meanwhile, 26 unique single nucleotide polymorphisms (SNPs) were detected to be significantly (p < 2.15 × 10-6) associated with HN in an association pool. Of these SNPs, three were simultaneously detected across multiple environments or environments and best linear unbiased prediction (BLUP). We focused on these environment-stable and population-common genetic loci for excavating the candidate genes responsible for maize HN. Finally, 173 initial candidate genes were identified, of which 22 were involved in both multicellular organism development and single-multicellular organism process and thus confirmed as the candidate genes for HN. Gene-based association analyses revealed that the variants in four genes were significantly (p < 0.01/N) correlated with HN, of which Zm00001d021232 and Zm00001d048138 were highly expressed in husks and early developing ears among different maize tissues. Our study contributes to the understanding of genetic and molecular mechanisms of maize husk yield and industrial development in the future.
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Affiliation(s)
- Zhenjuan Liang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Na Xi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Tao Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Minglin Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Mengxiang Sang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Chaoying Zou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Zhong Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guangsheng Yuan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Guangtang Pan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Langlang Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yaou Shen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
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6
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Bi Y, Jiang F, Zhang Y, Li Z, Kuang T, Shaw RK, Adnan M, Li K, Fan X. Identification of a novel marker and its associated laccase gene for regulating ear length in tropical and subtropical maize lines. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:94. [PMID: 38578443 PMCID: PMC10997716 DOI: 10.1007/s00122-024-04587-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
KEY MESSAGE This study revealed the identification of a novel gene, Zm00001d042906, that regulates maize ear length by modulating lignin synthesis and reported a molecular marker for selecting maize lines with elongated ears. Maize ear length has garnered considerable attention due to its high correlation with yield. In this study, six maize inbred lines of significant importance in maize breeding were used as parents. The temperate maize inbred line Ye107, characterized by a short ear, was crossed with five tropical or subtropical inbred lines featuring longer ears, creating a multi-parent population displaying significant variations in ear length. Through genome-wide association studies and mutation analysis, the A/G variation at SNP_183573532 on chromosome 3 was identified as an effective site for discriminating long-ear maize. Furthermore, the associated gene Zm00001d042906 was found to correlate with maize ear length. Zm00001d042906 was functionally annotated as a laccase (Lac4), which showed activity and influenced lignin synthesis in the midsection cells of the cob, thereby regulating maize ear length. This study further reports a novel molecular marker and a new gene that can assist maize breeding programs in selecting varieties with elongated ears.
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Affiliation(s)
- Yaqi Bi
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650093, China
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Fuyan Jiang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Yudong Zhang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Ziwei Li
- Dehong Teachers' College, Luxi, 678400, China
| | - Tianhui Kuang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Ranjan K Shaw
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Muhammad Adnan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China
| | - Kunzhi Li
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650093, China.
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
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7
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Feng X, Guan H, Wen Y, Zhou H, Xing X, Li Y, Zheng D, Wang Q, Zhang W, Xiong H, Hu Y, Jia L, Luo S, Zhang X, Guo W, Wu F, Xu J, Liu Y, Lu Y. Profiling the selected hotspots for ear traits in two maize-teosinte populations. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:74. [PMID: 38451289 DOI: 10.1007/s00122-024-04554-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 01/12/2024] [Indexed: 03/08/2024]
Abstract
KEY MESSAGE Eight selected hotspots related to ear traits were identified from two maize-teosinte populations. Throughout the history of maize cultivation, ear-related traits have been selected. However, little is known about the specific genes involved in shaping these traits from their origins in the wild progenitor, teosinte, to the characteristics observed in modern maize. In this study, five ear traits (kernel row number [KRN], ear length [EL], kernel number per row [KNR], cob diameter [CD], and ear diameter [ED]) were investigated, and eight quantitative trait loci (QTL) hotspots were identified in two maize-teosinte populations. Notably, our findings revealed a significant enrichment of genes showing a selection signature and expressed in the ear in qbdCD1.1, qbdCD5.1, qbpCD2.1, qbdED1.1, qbpEL1.1, qbpEL5.1, qbdKNR1.1, and qbdKNR10.1, suggesting that these eight QTL are selected hotspots involved in shaping the maize ear. By combining the results of the QTL analysis with data from previous genome-wide association study (GWAS) involving two natural panels, we identified eight candidate selected genes related to KRN, KNR, CD, and ED. Among these, considering their expression pattern and sequence variation, Zm00001d025111, encoding a WD40/YVTN protein, was proposed as a positive regulator of KNR. This study presents a framework for understanding the genomic distribution of selected loci crucial in determining ear-related traits.
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Affiliation(s)
- Xuanjun Feng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Wenjiang, 611130, Sichuan, China
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Huarui Guan
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Ying Wen
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Hanmei Zhou
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Xiaobin Xing
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Yinzhi Li
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Dan Zheng
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Qingjun Wang
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Weixiao Zhang
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Hao Xiong
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Yue Hu
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Li Jia
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Shuang Luo
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Xuemei Zhang
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Wei Guo
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Fengkai Wu
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Jie Xu
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Yaxi Liu
- Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China
| | - Yanli Lu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Wenjiang, 611130, Sichuan, China.
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, 611130, Sichuan, China.
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8
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Xie S, Luo H, Huang W, Jin W, Dong Z. Striking a growth-defense balance: Stress regulators that function in maize development. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024; 66:424-442. [PMID: 37787439 DOI: 10.1111/jipb.13570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 10/01/2023] [Indexed: 10/04/2023]
Abstract
Maize (Zea mays) cultivation is strongly affected by both abiotic and biotic stress, leading to reduced growth and productivity. It has recently become clear that regulators of plant stress responses, including the phytohormones abscisic acid (ABA), ethylene (ET), and jasmonic acid (JA), together with reactive oxygen species (ROS), shape plant growth and development. Beyond their well established functions in stress responses, these molecules play crucial roles in balancing growth and defense, which must be finely tuned to achieve high yields in crops while maintaining some level of defense. In this review, we provide an in-depth analysis of recent research on the developmental functions of stress regulators, focusing specifically on maize. By unraveling the contributions of these regulators to maize development, we present new avenues for enhancing maize cultivation and growth while highlighting the potential risks associated with manipulating stress regulators to enhance grain yields in the face of environmental challenges.
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Affiliation(s)
- Shiyi Xie
- Maize Engineering and Technology Research Center of Hunan Province, College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
| | - Hongbing Luo
- Maize Engineering and Technology Research Center of Hunan Province, College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Wei Huang
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
| | - Weiwei Jin
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
- Tianjin Key Laboratory of Intelligent Breeding of Major Crops, Fresh Corn Research Center of BTH, College of Agronomy & Resources and Environment, Tianjin Agricultural University, Tianjin, 300384, China
| | - Zhaobin Dong
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100193, China
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9
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Zhang D, Gan Y, Le L, Pu L. Epigenetic variation in maize agronomical traits for breeding and trait improvement. J Genet Genomics 2024:S1673-8527(24)00028-6. [PMID: 38310944 DOI: 10.1016/j.jgg.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/28/2024] [Accepted: 01/29/2024] [Indexed: 02/06/2024]
Abstract
Epigenetics-mediated breeding (Epibreeding) involves engineering crop traits and stress responses through the targeted manipulation of key epigenetic features to enhance agricultural productivity. While conventional breeding methods raise concerns about reduced genetic diversity, epibreeding propels crop improvement through epigenetic variations that regulate gene expression, ultimately impacting crop yield. Epigenetic regulation in crops encompasses various modes, including histone modification, DNA modification, RNA modification, non-coding RNA, and chromatin remodeling. This review summarizes the epigenetic mechanisms underlying major agronomic traits in maize and identifies candidate epigenetic landmarks in the maize breeding process. We propose a valuable strategy for improving maize yield through epibreeding, combining CRISPR/Cas-based epigenome editing technology and Synthetic Epigenetics (SynEpi). Finally, we discuss the challenges and opportunities associated with maize trait improvement through epibreeding.
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Affiliation(s)
- Daolei Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; School of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia 010021, China
| | - Yujun Gan
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Liang Le
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Li Pu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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10
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Li J, Li Q, Guo N, Xian Q, Lan B, Nangia V, Mo F, Liu Y. Polyamines mediate the inhibitory effect of drought stress on nitrogen reallocation and utilization to regulate grain number in wheat. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:1016-1035. [PMID: 37813095 DOI: 10.1093/jxb/erad393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 10/05/2023] [Indexed: 10/11/2023]
Abstract
Drought stress poses a serious threat to grain formation in wheat. Nitrogen (N) plays crucial roles in plant organ development; however, the physiological mechanisms by which drought stress affects plant N availability and mediates the formation of grains in spikes of winter wheat are still unclear. In this study, we determined that pre-reproductive drought stress significantly reduced the number of fertile florets and the number of grains formed. Transcriptome analysis demonstrated that this was related to N metabolism, and in particular, the metabolism pathways of arginine (the main precursor for synthesis of polyamine) and proline. Continuous drought stress restricted plant N accumulation and reallocation rates, and plants preferentially allocated more N to spike development. As the activities of amino acid biosynthesis enzymes and catabolic enzymes were inhibited, more free amino acids accumulated in young spikes. The expression of polyamine synthase genes was down-regulated under drought stress, whilst expression of genes encoding catabolic enzymes was enhanced, resulting in reductions in endogenous spermidine and putrescine. Treatment with exogenous spermidine optimized N allocation in young spikes and leaves, which greatly alleviated the drought-induced reduction in the number of grains per spike. Overall, our results show that pre-reproductive drought stress affects wheat grain numbers by regulating N redistribution and polyamine metabolism.
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Affiliation(s)
- Juan Li
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
| | - Qi Li
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
| | - Nian Guo
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
| | - Qinglin Xian
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
| | - Bing Lan
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
| | - Vinay Nangia
- International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 6299-10112, Rabat, Morocco
| | - Fei Mo
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
| | - Yang Liu
- College of Agronomy, Northwest A&F University, Taicheng Road 3, Yangling, Shaanxi, 712100, PR China
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11
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Li H, Che R, Zhu J, Yang X, Li J, Fernie AR, Yan J. Multi-omics-driven advances in the understanding of triacylglycerol biosynthesis in oil seeds. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 117:999-1017. [PMID: 38009661 DOI: 10.1111/tpj.16545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 11/01/2023] [Indexed: 11/29/2023]
Abstract
Vegetable oils are rich sources of polyunsaturated fatty acids and energy as well as valuable sources of human food, animal feed, and bioenergy. Triacylglycerols, which are comprised of three fatty acids attached to a glycerol backbone, are the main component of vegetable oils. Here, we review the development and application of multiple-level omics in major oilseeds and emphasize the progress in the analysis of the biological roles of key genes underlying seed oil content and quality in major oilseeds. Finally, we discuss future research directions in functional genomics research based on current omics and oil metabolic engineering strategies that aim to enhance seed oil content and quality, and specific fatty acids components according to either human health needs or industrial requirements.
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Affiliation(s)
- Hui Li
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, China
| | - Ronghui Che
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, China
| | - Jiantang Zhu
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, China
| | - Xiaohong Yang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Jiansheng Li
- National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm, 14476, Germany
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
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12
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Zhang X, Sun J, Zhang Y, Li J, Liu M, Li L, Li S, Wang T, Shaw RK, Jiang F, Fan X. Hotspot Regions of Quantitative Trait Loci and Candidate Genes for Ear-Related Traits in Maize: A Literature Review. Genes (Basel) 2023; 15:15. [PMID: 38275597 PMCID: PMC10815758 DOI: 10.3390/genes15010015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/12/2023] [Accepted: 12/16/2023] [Indexed: 01/27/2024] Open
Abstract
In this study, hotspot regions, QTL clusters, and candidate genes for eight ear-related traits of maize (ear length, ear diameter, kernel row number, kernel number per row, kernel length, kernel width, kernel thickness, and 100-kernel weight) were summarized and analyzed over the past three decades. This review aims to (1) comprehensively summarize and analyze previous studies on QTLs associated with these eight ear-related traits and identify hotspot bin regions located on maize chromosomes and key candidate genes associated with the ear-related traits and (2) compile major and stable QTLs and QTL clusters from various mapping populations and mapping methods and techniques providing valuable insights for fine mapping, gene cloning, and breeding for high-yield and high-quality maize. Previous research has demonstrated that QTLs for ear-related traits are distributed across all ten chromosomes in maize, and the phenotypic variation explained by a single QTL ranged from 0.40% to 36.76%. In total, 23 QTL hotspot bins for ear-related traits were identified across all ten chromosomes. The most prominent hotspot region is bin 4.08 on chromosome 4 with 15 QTLs related to eight ear-related traits. Additionally, this study identified 48 candidate genes associated with ear-related traits. Out of these, five have been cloned and validated, while twenty-eight candidate genes located in the QTL hotspots were defined by this study. This review offers a deeper understanding of the advancements in QTL mapping and the identification of key candidates associated with eight ear-related traits. These insights will undoubtedly assist maize breeders in formulating strategies to develop higher-yield maize varieties, contributing to global food security.
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Affiliation(s)
- Xingjie Zhang
- School of Agriculture, Yunnan University, Kunming 650500, China; (X.Z.); (J.L.); (M.L.); (L.L.); (S.L.)
| | - Jiachen Sun
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (J.S.); (T.W.)
| | - Yudong Zhang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (Y.Z.); (R.K.S.); (F.J.)
| | - Jinfeng Li
- School of Agriculture, Yunnan University, Kunming 650500, China; (X.Z.); (J.L.); (M.L.); (L.L.); (S.L.)
| | - Meichen Liu
- School of Agriculture, Yunnan University, Kunming 650500, China; (X.Z.); (J.L.); (M.L.); (L.L.); (S.L.)
| | - Linzhuo Li
- School of Agriculture, Yunnan University, Kunming 650500, China; (X.Z.); (J.L.); (M.L.); (L.L.); (S.L.)
| | - Shaoxiong Li
- School of Agriculture, Yunnan University, Kunming 650500, China; (X.Z.); (J.L.); (M.L.); (L.L.); (S.L.)
| | - Tingzhao Wang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, China; (J.S.); (T.W.)
| | - Ranjan Kumar Shaw
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (Y.Z.); (R.K.S.); (F.J.)
| | - Fuyan Jiang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (Y.Z.); (R.K.S.); (F.J.)
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China; (Y.Z.); (R.K.S.); (F.J.)
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13
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Shen X, Xiao B, Kaderbek T, Lin Z, Tan K, Wu Q, Yuan L, Lai J, Zhao H, Song W. Dynamic transcriptome landscape of developing maize ear. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 116:1856-1870. [PMID: 37731154 DOI: 10.1111/tpj.16457] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/19/2023] [Accepted: 08/26/2023] [Indexed: 09/22/2023]
Abstract
Seed number and harvesting ability in maize (Zea mays L.) are primarily determined by the architecture of female inflorescence, namely the ear. Therefore, ear morphogenesis contributes to grain yield and as such is one of the key target traits during maize breeding. However, the molecular networks of this highly dynamic and complex grain-bearing inflorescence remain largely unclear. As a first step toward characterizing these networks, we performed a high-spatio-temporal-resolution investigation of transcriptomes using 130 ear samples collected from developing ears with length from 0.1 mm to 19.0 cm. Comparisons of these mRNA populations indicated that these spatio-temporal transcriptomes were clearly separated into four distinct stages stages I, II, III, and IV. A total of 23 793 genes including 1513 transcription factors (TFs) were identified in the investigated developing ears. During the stage I of ear morphogenesis, 425 genes were predicted to be involved in a co-expression network established by eight hub TFs. Moreover, 9714 ear-specific genes were identified in the seven kinds of meristems. Additionally, 527 genes including 59 TFs were identified as especially expressed in ear and displayed high temporal specificity. These results provide a high-resolution atlas of gene activity during ear development and help to unravel the regulatory modules associated with the differentiation of the ear in maize.
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Affiliation(s)
- Xiaomeng Shen
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
| | - Bing Xiao
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, P. R. China
- College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, P.R. China
| | - Tangnur Kaderbek
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
| | - Zhen Lin
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
| | - Kaiwen Tan
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
| | - Qingyu Wu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, P. R. China
| | - Lixing Yuan
- College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, P.R. China
| | - Jinsheng Lai
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, P.R. China
| | - Haiming Zhao
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, P.R. China
| | - Weibin Song
- State Key Laboratory of Maize Bio-breeding, China Agricultural University, Beijing, 100193, P.R. China
- Department of Plant Genetics and Breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P.R. China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, P.R. China
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14
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Ahmar S, Hensel G, Gruszka D. CRISPR/Cas9-mediated genome editing techniques and new breeding strategies in cereals - current status, improvements, and perspectives. Biotechnol Adv 2023; 69:108248. [PMID: 37666372 DOI: 10.1016/j.biotechadv.2023.108248] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/06/2023]
Abstract
Cereal crops, including triticeae species (barley, wheat, rye), as well as edible cereals (wheat, corn, rice, oat, rye, sorghum), are significant suppliers for human consumption, livestock feed, and breweries. Over the past half-century, modern varieties of cereal crops with increased yields have contributed to global food security. However, presently cultivated elite crop varieties were developed mainly for optimal environmental conditions. Thus, it has become evident that taking into account the ongoing climate changes, currently a priority should be given to developing new stress-tolerant cereal cultivars. It is necessary to enhance the accuracy of methods and time required to generate new cereal cultivars with the desired features to adapt to climate change and keep up with the world population expansion. The CRISPR/Cas9 system has been developed as a powerful and versatile genome editing tool to achieve desirable traits, such as developing high-yielding, stress-tolerant, and disease-resistant transgene-free lines in major cereals. Despite recent advances, the CRISPR/Cas9 application in cereals faces several challenges, including a significant amount of time required to develop transgene-free lines, laboriousness, and a limited number of genotypes that may be used for the transformation and in vitro regeneration. Additionally, developing elite lines through genome editing has been restricted in many countries, especially Europe and New Zealand, due to a lack of flexibility in GMO regulations. This review provides a comprehensive update to researchers interested in improving cereals using gene-editing technologies, such as CRISPR/Cas9. We will review some critical and recent studies on crop improvements and their contributing factors to superior cereals through gene-editing technologies.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland
| | - Goetz Hensel
- Centre for Plant Genome Engineering, Institute of Plant Biochemistry, Heinrich-Heine-University, Duesseldorf, Germany; Centre of Region Haná for Biotechnological and Agricultural Research, Czech Advanced Technology and Research Institute, Palacký University Olomouc, Olomouc, Czech Republic
| | - Damian Gruszka
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland.
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15
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Qian F, Jing J, Zhang Z, Chen S, Sang Z, Li W. GWAS and Meta-QTL Analysis of Yield-Related Ear Traits in Maize. PLANTS (BASEL, SWITZERLAND) 2023; 12:3806. [PMID: 38005703 PMCID: PMC10674677 DOI: 10.3390/plants12223806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023]
Abstract
Maize ear traits are an important component of yield, and the genetic basis of ear traits facilitates further yield improvement. In this study, a panel of 580 maize inbred lines were used as the study material, eight ear-related traits were measured through three years of planting, and whole genome sequencing was performed using the maize 40 K breeding chip based on genotyping by targeted sequencing (GBTS) technology. Five models were used to conduct a genome-wide association study (GWAS) on best linear unbiased estimate (BLUE) of ear traits to find the best model. The FarmCPU (Fixed and random model Circulating Probability Unification) model was the best model for this study; a total of 104 significant single nucleotide polymorphisms (SNPs) were detected, and 10 co-location SNPs were detected simultaneously in more than two environments. Through gene function annotation and prediction, a total of nine genes were identified as potentially associated with ear traits. Moreover, a total of 760 quantitative trait loci (QTL) associated with yield-related traits reported in 37 different articles were collected. Using the collected 760 QTL for meta-QTL analysis, a total of 41 MQTL (meta-QTL) associated with yield-related traits were identified, and 19 MQTL detected yield-related ear trait functional genes and candidate genes that have been reported in maize. Five significant SNPs detected by GWAS were located within these MQTL intervals, and another three significant SNPs were close to MQTL (less than 1 Mb). The results provide a theoretical reference for the analysis of the genetic basis of ear-related traits and the improvement of maize yield.
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Affiliation(s)
- Fu Qian
- Xinjiang Academy of Agricultural and Reclamation Science, Shihezi 832000, China; (F.Q.); (Z.Z.); (S.C.)
- The Key Laboratory of Oasis Eco-Agriculture, College of Agriculture, Shihezi University, Shihezi 832003, China;
| | - Jianguo Jing
- The Key Laboratory of Oasis Eco-Agriculture, College of Agriculture, Shihezi University, Shihezi 832003, China;
| | - Zhanqin Zhang
- Xinjiang Academy of Agricultural and Reclamation Science, Shihezi 832000, China; (F.Q.); (Z.Z.); (S.C.)
| | - Shubin Chen
- Xinjiang Academy of Agricultural and Reclamation Science, Shihezi 832000, China; (F.Q.); (Z.Z.); (S.C.)
| | - Zhiqin Sang
- Xinjiang Academy of Agricultural and Reclamation Science, Shihezi 832000, China; (F.Q.); (Z.Z.); (S.C.)
| | - Weihua Li
- The Key Laboratory of Oasis Eco-Agriculture, College of Agriculture, Shihezi University, Shihezi 832003, China;
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16
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Li T, Yang H, Zhang X, Zhu L, Zhang J, Wei N, Li R, Dong Y, Feng Z, Zhang X, Xue J, Xu S. Genetic architecture of ear traits based on association mapping and co-expression networks in maize inbred lines and hybrids. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:78. [PMID: 37928364 PMCID: PMC10624778 DOI: 10.1007/s11032-023-01426-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/23/2023] [Indexed: 11/07/2023]
Abstract
Ear traits are key contributors to grain yield in maize; therefore, exploring their genetic basis facilitates the improvement of grain yield. However, the underlying molecular mechanisms of ear traits remain obscure in both inbred lines and hybrids. Here, two association panels, respectively, comprising 203 inbred lines (IP) and 246 F1 hybrids (HP) were employed to identify candidate genes for six ear traits. The IP showed higher phenotypic variation and lower phenotypic mean than the HP for all traits, except ear tip-barrenness length. By conducting a genome-wide association study (GWAS) across multiple environments, 101 and 228 significant single-nucleotide polymorphisms (SNPs) associated with six ear traits were identified in the IP and HP, respectively. Of these significant SNPs identified in the HP, most showed complete-incomplete dominance and over-dominance effects for each ear trait. Combining a gene co-expression network with GWAS results, 186 and 440 candidate genes were predicted in the IP and HP, respectively, including known ear development genes ids1 and sid1. Of these, nine candidate genes were detected in both populations and expressed in maize ear and spikelet tissues. Furthermore, two key shared genes (GRMZM2G143330 and GRMZM2G171139) in both populations were found to be significantly associated with ear traits in the maize Goodman diversity panel with high-density variations. These findings advance our knowledge of the genetic architecture of ear traits between inbred lines and hybrids and provide a valuable resource for the genetic improvement of ear traits in maize. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01426-9.
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Affiliation(s)
- Ting Li
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Haoxiang Yang
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Xiaojun Zhang
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Liangjia Zhu
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Jun Zhang
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Ningning Wei
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Ranran Li
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Yuan Dong
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Zhiqian Feng
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Xinghua Zhang
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Jiquan Xue
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
| | - Shutu Xu
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100 Shaanxi China
- Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, 712100 Shaanxi China
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17
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Wang J, Zhao S, Zhang Y, Lu X, Du J, Wang C, Wen W, Guo X, Zhao C. Investigating the genetic basis of maize ear characteristics: a comprehensive genome-wide study utilizing high-throughput phenotypic measurement method and system. FRONTIERS IN PLANT SCIENCE 2023; 14:1248446. [PMID: 37701799 PMCID: PMC10493325 DOI: 10.3389/fpls.2023.1248446] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 08/09/2023] [Indexed: 09/14/2023]
Abstract
The morphology of maize ears plays a critical role in the breeding of new varieties and increasing yield. However, the study of traditional ear-related traits alone can no longer meet the requirements of breeding. In this study, 20 ear-related traits, including size, shape, number, and color, were obtained in 407 maize inbred lines at two sites using a high-throughput phenotypic measurement method and system. Significant correlations were found among these traits, particularly the novel trait ear shape (ES), which was correlated with traditional traits: kernel number per row and kernel number per ear. Pairwise comparison tests revealed that the inbred lines of tropical-subtropical were significantly different from other subpopulations in row numbers per ear, kernel numbers per ear, and ear color. A genome-wide association study identified 275, 434, and 362 Single nucleotide polymorphisms (SNPs) for Beijing, Sanya, and best linear unbiased prediction scenarios, respectively, explaining 3.78% to 24.17% of the phenotypic variance. Furthermore, 58 candidate genes with detailed functional descriptions common to more than two scenarios were discovered, with 40 genes being associated with color traits on chromosome 1. After analysis of haplotypes, gene expression, and annotated information, several candidate genes with high reliability were identified, including Zm00001d051328 for ear perimeter and width, zma-MIR159f for ear shape, Zm00001d053080 for kernel width and row number per ear, and Zm00001d048373 for the blue color channel of maize kernels in the red-green-blue color model. This study emphasizes the importance of researching novel phenotypic traits in maize by utilizing high-throughput phenotypic measurements. The identified genetic loci enrich the existing genetic studies related to maize ears.
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Affiliation(s)
- Jinglu Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Shuaihao Zhao
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Ying Zhang
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Xianju Lu
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jianjun Du
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Chuanyu Wang
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Weiliang Wen
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Xinyu Guo
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Chunjiang Zhao
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
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Duan H, Xue Z, Ju X, Yang L, Gao J, Sun L, Xu S, Li J, Xiong X, Sun Y, Wang Y, Zhang X, Ding D, Zhang X, Tang J. The genetic architecture of prolificacy in maize revealed by association mapping and bulk segregant analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:182. [PMID: 37555969 DOI: 10.1007/s00122-023-04434-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 06/26/2023] [Indexed: 08/10/2023]
Abstract
KEY MESSAGE Here, we revealed maize prolificacy highly correlated with domestication and identified a causal gene ZmEN1 located in one novel QTL qGEN261 that regulating maize prolificacy by using multiple-mapping methods. The development of maize prolificacy (EN) is crucial for enhancing yield and breeding specialty varieties. To achieve this goal, we employed a genome-wide association study (GWAS) to analyze the genetic architecture of EN in maize. Using 492 inbred lines with a wide range of EN variability, our results demonstrated significant differences in genetic, environmental, and interaction effects. The broad-sense heritability (H2) of EN was 0.60. Through GWAS, we identified 527 significant single nucleotide polymorphisms (SNPs), involved 290 quantitative trait loci (QTL) and 806 genes. Of these SNPs, 18 and 509 were classified as major effect loci and minor loci, respectively. In addition, we performed a bulk segregant analysis (BSA) in an F2 population constructed by a few-ears line Zheng58 and a multi-ears line 647. Our BSA results identified one significant QTL, qBEN1. Importantly, combining the GWAS and BSA, four co-located QTL, involving six genes, were identified. Three of them were expressed in vegetative meristem, shoot tip, internode and tip of ear primordium, with ZmEN1, encodes an unknown auxin-like protein, having the highest expression level in these tissues. It suggested that ZmEN1 plays a crucial role in promoting axillary bud and tillering to encourage the formation of prolificacy. Haplotype analysis of ZmEN1 revealed significant differences between different haplotypes, with inbred lines carrying hap6 having more EN. Overall, this is the first report about using GWAS and BSA to dissect the genetic architecture of EN in maize, which can be valuable for breeding specialty maize varieties and improving maize yield.
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Affiliation(s)
- Haiyang Duan
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Zhengjie Xue
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Xiaolong Ju
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Lu Yang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, People's Republic of China
| | - Jionghao Gao
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Li Sun
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Shuhao Xu
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Jianxin Li
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Xuehang Xiong
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Yan Sun
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Yan Wang
- Zhucheng Mingjue Tender Company Limited, Weifang, People's Republic of China
| | - Xuebin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, People's Republic of China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Xuehai Zhang
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China.
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China.
- The Shennong Laboratory, Zhengzhou, People's Republic of China.
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19
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Xiong X, Li J, Su P, Duan H, Sun L, Xu S, Sun Y, Zhao H, Chen X, Ding D, Zhang X, Tang J. Genetic dissection of maize (Zea mays L.) chlorophyll content using multi-locus genome-wide association studies. BMC Genomics 2023; 24:384. [PMID: 37430212 DOI: 10.1186/s12864-023-09504-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/04/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND The chlorophyll content (CC) is a key factor affecting maize photosynthetic efficiency and the final yield. However, its genetic basis remains unclear. The development of statistical methods has enabled researchers to design and apply various GWAS models, including MLM, MLMM, SUPER, FarmCPU, BLINK and 3VmrMLM. Comparative analysis of their results can lead to more effective mining of key genes. RESULTS The heritability of CC was 0.86. Six statistical models (MLM, BLINK, MLMM, FarmCPU, SUPER, and 3VmrMLM) and 1.25 million SNPs were used for the GWAS. A total of 140 quantitative trait nucleotides (QTNs) were detected, with 3VmrMLM and MLM detecting the most (118) and fewest (3) QTNs, respectively. The QTNs were associated with 481 genes and explained 0.29-10.28% of the phenotypic variation. Additionally, 10 co-located QTNs were detected by at least two different models or methods, three co-located QTNs were identified in at least two different environments, and six co-located QTNs were detected by different models or methods in different environments. Moreover, 69 candidate genes within or near these stable QTNs were screened based on the B73 (RefGen_v2) genome. GRMZM2G110408 (ZmCCS3) was identified by multiple models and in multiple environments. The functional characterization of this gene indicated the encoded protein likely contributes to chlorophyll biosynthesis. In addition, the CC differed significantly between the haplotypes of the significant QTN in this gene, and CC was higher for haplotype 1. CONCLUSION This study's results broaden our understanding of the genetic basis of CC, mining key genes related to CC and may be relevant for the ideotype-based breeding of new maize varieties with high photosynthetic efficiency.
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Affiliation(s)
- Xuehang Xiong
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Jianxin Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Pingping Su
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Haiyang Duan
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Li Sun
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Shuhao Xu
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Yan Sun
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Haidong Zhao
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xiaoyang Chen
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
| | - Xuehai Zhang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China.
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou, China
- The Shennong Laboratory, Zhengzhou, China
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20
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Xing L, Zhang L, Zheng H, Zhang Z, Luo Y, Liu Y, Wang L. ZmmiR169q/ZmNF-YA8 is a module that homeostatically regulates primary root growth and salt tolerance in maize. FRONTIERS IN PLANT SCIENCE 2023; 14:1163228. [PMID: 37457348 PMCID: PMC10344899 DOI: 10.3389/fpls.2023.1163228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/06/2023] [Indexed: 07/18/2023]
Abstract
In response to salt stress, plants alter the expression of manifold gene networks, enabling them to survive and thrive in the face of adversity. As a result, the growth and development of plant roots could be drastically altered, with significant inhibition of the growth of root meristematic zones. Although it is known that root growth is primarily regulated by auxins and cytokinins, the molecular regulatory mechanism by which salt stress stunts root meristems remains obscure. In this study, we found that the ZmmiR169q/ZmNF-YA8 module regulates the growth of maize taproots in response to salt stress. Salt stress downregulates ZmmiR169q expression, allowing for significant upregulation of ZmNF-YA8, which, in turn, activates ZmERF1B, triggering the upregulation of ASA1 and ASA2, two rate-limiting enzymes in the biosynthesis of tryptophan (Trp), leading to the accumulation of auxin in the root tip, thereby inhibiting root growth. The development of the maize root is stymied as meristem cell division and meristematic zone expansion are both stifled. This study reveals the ZmmiR169q/ZmNF-YA8 module's involvement in maintaining an equilibrium in bestowing plant salt tolerance and root growth and development under salt stress, providing new insights into the molecular mechanism underlying the homeostatic regulation of plant development in response to salt stress.
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Affiliation(s)
- Lijuan Xing
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lan Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Hongyan Zheng
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences (CAAS), Hainan, China
| | - Zhuoxia Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yanzhong Luo
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yuan Liu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Lei Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences (CAAS), Hainan, China
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21
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Jiang F, Liu L, Li Z, Bi Y, Yin X, Guo R, Wang J, Zhang Y, Shaw RK, Fan X. Identification of Candidate QTLs and Genes for Ear Diameter by Multi-Parent Population in Maize. Genes (Basel) 2023; 14:1305. [PMID: 37372485 DOI: 10.3390/genes14061305] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/06/2023] [Accepted: 06/17/2023] [Indexed: 06/29/2023] Open
Abstract
Ear diameter (ED) is a critical component of grain yield (GY) in maize (Zea mays L.). Studying the genetic basis of ED in maize is of great significance in enhancing maize GY. Against this backdrop, this study was framed to (1) map the ED-related quantitative trait locus (QTL) and SNPs associated with ED; and (2) identify putative functional genes that may affect ED in maize. To accomplish this, an elite maize inbred line, Ye107, which belongs to the Reid heterotic group, was used as a common parent and crossed with seven elite inbred lines from three different heterotic groups (Suwan1, Reid, and nonReid) that exhibited abundant genetic variation in ED. This led to the construction of a multi-parent population consisting of 1215 F7 recombinant inbred lines (F7RILs). A genome-wide association study (GWAS) and linkage analysis were then conducted for the multi-parent population using 264,694 high-quality SNPs generated via the genotyping-by-sequencing method. Our study identified a total of 11 SNPs that were significantly associated with ED through the GWAS, and three QTLs were revealed by the linkage analysis for ED. The major QTL on chromosome 1 was co-identified in the region by the GWAS at SNP_143985532. SNP_143985532, located upstream of the Zm00001d030559 gene, encodes a callose synthase that is expressed in various tissues, with the highest expression level in the maize ear primordium. Haplotype analysis indicated that the haplotype B (allele AA) of Zm00001d030559 was positively correlated with ED. The candidate genes and SNPs identified in this study provide crucial insights for future studies on the genetic mechanism of maize ED formation, cloning of ED-related genes, and genetic improvement of ED. These results may help develop important genetic resources for enhancing maize yield through marker-assisted breeding.
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Affiliation(s)
- Fuyan Jiang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Li Liu
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Ziwei Li
- Yunnan Dehong Dai and Jingpo Nationality Institute of Agricultural Sciences, Mangshi 678400, China
| | - Yaqi Bi
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Xingfu Yin
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Ruijia Guo
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Jing Wang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Yudong Zhang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Ranjan Kumar Shaw
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
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22
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Adel S, Carels N. Plant Tolerance to Drought Stress with Emphasis on Wheat. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12112170. [PMID: 37299149 DOI: 10.3390/plants12112170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/16/2023] [Accepted: 03/29/2023] [Indexed: 06/12/2023]
Abstract
Environmental stresses, such as drought, have negative effects on crop yield. Drought is a stress whose impact tends to increase in some critical regions. However, the worldwide population is continuously increasing and climate change may affect its food supply in the upcoming years. Therefore, there is an ongoing effort to understand the molecular processes that may contribute to improving drought tolerance of strategic crops. These investigations should contribute to delivering drought-tolerant cultivars by selective breeding. For this reason, it is worthwhile to review regularly the literature concerning the molecular mechanisms and technologies that could facilitate gene pyramiding for drought tolerance. This review summarizes achievements obtained using QTL mapping, genomics, synteny, epigenetics, and transgenics for the selective breeding of drought-tolerant wheat cultivars. Synthetic apomixis combined with the msh1 mutation opens the way to induce and stabilize epigenomes in crops, which offers the potential of accelerating selective breeding for drought tolerance in arid and semi-arid regions.
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Affiliation(s)
- Sarah Adel
- Genetic Department, Faculty of Agriculture, Ain Shams University, Cairo 11241, Egypt
| | - Nicolas Carels
- Laboratory of Biological System Modeling, Center of Technological Development for Health (CDTS), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro 21040-361, Brazil
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23
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Wang Y, Bi Y, Jiang F, Shaw RK, Sun J, Hu C, Guo R, Fan X. Mapping and Functional Analysis of QTL for Kernel Number per Row in Tropical and Temperate-Tropical Introgression Lines of Maize ( Zea mays L.). Curr Issues Mol Biol 2023; 45:4416-4430. [PMID: 37232750 DOI: 10.3390/cimb45050281] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023] Open
Abstract
Kernel number per row (KNR) is an essential component of maize (Zea mays L.) grain yield (GY), and understanding its genetic mechanism is crucial to improve GY. In this study, two F7 recombinant inbred line (RIL) populations were created using a temperate-tropical introgression line TML418 and a tropical inbred line CML312 as female parents and a backbone maize inbred line Ye107 as the common male parent. Bi-parental quantitative trait locus (QTL) mapping and genome-wide association analysis (GWAS) were then performed on 399 lines of the two maize RIL populations for KNR in two different environments using 4118 validated single nucleotide polymorphism (SNP) markers. This study aimed to: (1) detect molecular markers and/or the genomic regions associated with KNR; (2) identify the candidate genes controlling KNR; and (3) analyze whether the candidate genes are useful in improving GY. The authors reported a total of 7 QTLs tightly linked to KNR through bi-parental QTL mapping and identified 21 SNPs significantly associated with KNR through GWAS. Among these, a highly confident locus qKNR7-1 was detected at two locations, Dehong and Baoshan, with both mapping approaches. At this locus, three novel candidate genes (Zm00001d022202, Zm00001d022168, Zm00001d022169) were identified to be associated with KNR. These candidate genes were primarily involved in the processes related to compound metabolism, biosynthesis, protein modification, degradation, and denaturation, all of which were related to the inflorescence development affecting KNR. These three candidate genes were not reported previously and are considered new candidate genes for KNR. The progeny of the hybrid Ye107 × TML418 exhibited strong heterosis for KNR, which the authors believe might be related to qKNR7-1. This study provides a theoretical foundation for future research on the genetic mechanism underlying KNR in maize and the use of heterotic patterns to develop high-yielding hybrids.
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Affiliation(s)
- Yuling Wang
- Institute of Resource Plants, Yunnan University, Kunming 650504, China
| | - Yaqi Bi
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Fuyan Jiang
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Ranjan Kumar Shaw
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Jiachen Sun
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650500, China
| | - Can Hu
- Institute of Resource Plants, Yunnan University, Kunming 650504, China
| | - Ruijia Guo
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650205, China
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24
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Li Y, Niu L, Zhou X, Liu H, Tai F, Wang W. Modifying the Expression of Cysteine Protease Gene PCP Affects Pollen Development, Germination and Plant Drought Tolerance in Maize. Int J Mol Sci 2023; 24:ijms24087406. [PMID: 37108569 PMCID: PMC10138719 DOI: 10.3390/ijms24087406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/13/2023] [Accepted: 04/16/2023] [Indexed: 04/29/2023] Open
Abstract
Cysteine proteases (CPs) are vital proteolytic enzymes that play critical roles in various plant processes. However, the particular functions of CPs in maize remain largely unknown. We recently identified a pollen-specific CP (named PCP), which highly accumulated on the surface of maize pollen. Here, we reported that PCP played an important role in pollen germination and drought response in maize. Overexpression of PCP inhibited pollen germination, while mutation of PCP promoted pollen germination to some extent. Furthermore, we observed that germinal apertures of pollen grains in the PCP-overexpression transgenic lines were excessively covered, whereas this phenomenon was not observed in the wild type (WT), suggesting that PCP regulated pollen germination by affecting the germinal aperture structure. In addition, overexpression of PCP enhanced drought tolerance in maize plants, along with the increased activities of the antioxidant enzymes and the decreased numbers of the root cortical cells. Conversely, mutation of PCP significantly impaired drought tolerance. These results may aid in clarifying the precise functions of CPs in maize and contribute to the development of drought-tolerant maize materials.
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Affiliation(s)
- Yanhua Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
| | - Liangjie Niu
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
| | - Xiaoli Zhou
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
| | - Hui Liu
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
| | - Fuju Tai
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
| | - Wei Wang
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450046, China
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25
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Li Q, Liu N, Wu C. Novel insights into maize (Zea mays) development and organogenesis for agricultural optimization. PLANTA 2023; 257:94. [PMID: 37031436 DOI: 10.1007/s00425-023-04126-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 03/22/2023] [Indexed: 06/19/2023]
Abstract
In maize, intrinsic hormone activities and sap fluxes facilitate organogenesis patterning and plant holistic development; these hormone movements should be a primary focus of developmental biology and agricultural optimization strategies. Maize (Zea mays) is an important crop plant with distinctive life history characteristics and structural features. Genetic studies have extended our knowledge of maize developmental processes, genetics, and molecular ecophysiology. In this review, the classical life cycle and life history strategies of maize are analyzed to identify spatiotemporal organogenesis properties and develop a definitive understanding of maize development. The actions of genes and hormones involved in maize organogenesis and sex determination, along with potential molecular mechanisms, are investigated, with findings suggesting central roles of auxin and cytokinins in regulating maize holistic development. Furthermore, investigation of morphological and structural characteristics of maize, particularly node ubiquity and the alternate attachment pattern of lateral organs, yields a novel regulatory model suggesting that maize organ initiation and subsequent development are derived from the stimulation and interaction of auxin and cytokinin fluxes. Propositions that hormone activities and sap flow pathways control organogenesis are thoroughly explored, and initiation and development processes of distinctive maize organs are discussed. Analysis of physiological factors driving hormone and sap movement implicates cues of whole-plant activity for hormone and sap fluxes to stimulate maize inflorescence initiation and organ identity determination. The physiological origins and biogenetic mechanisms underlying maize floral sex determination occurring at the tassel and ear spikelet are thoroughly investigated. The comprehensive outline of maize development and morphogenetic physiology developed in this review will enable farmers to optimize field management and will provide a reference for de novo crop domestication and germplasm improvement using genome editing biotechnologies, promoting agricultural optimization.
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Affiliation(s)
- Qinglin Li
- Crop Genesis and Novel Agronomy Center, Yangling, 712100, Shaanxi, China.
| | - Ning Liu
- Shandong ZhongnongTiantai Seed Co., Ltd, Pingyi, 273300, Shandong, China
| | - Chenglai Wu
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
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Zhao Y, Yang D, Liu Y, Han F, Li Z. A highly efficient genetic transformation system for broccoli and subcellular localization. FRONTIERS IN PLANT SCIENCE 2023; 14:1091588. [PMID: 36937998 PMCID: PMC10018207 DOI: 10.3389/fpls.2023.1091588] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Agrobacterium-mediated genetic transformation has been widely used for the identification of functional genes and regulatory and developmental mechanisms in plants. However, there are still some problems of low genetic transformation efficiency and high genotype dependence in cruciferous crops. METHODS In this study, broccoli, a worldwide Brassica crop, was used to investigate the effects of genotype, explant type, concentration of hygromycin B used during seedling selection, overexpression vector type, RNAi and CRISPR/cas9 on the genetic transformation efficiency. At the same time, two vectors, PHG-031350 and PHG-CRa, were used for subcellular localization of the glucoraphanin synthesis-related gene FMOGS-OX5 and clubroot resistance gene by a PEG-Ca2+-mediated transient transformation system for broccoli protoplasts. Finally, the Agrobacterium-mediated genetic transformation system of broccoli was optimized and improved. RESULTS AND DISCUSSION This study showed that hypocotyl explants are more suitable for Agrobacterium-mediated transgene and CRISPR/Cas9 gene editing of broccoli. In contrast to previous studies, we found that 5 mg/L hygromycin B was more advantageous for the selection of resistant broccoli sprouts, and genotype 19B42 reached the highest transformation rate of 26.96%, which is higher than that in Brassica oleracea crops. In addition, the inbred line 19B42 successfully achieved high genetic transformation of overexpression, RNAi and CRISPR/Cas9 vectors; thus, it is powerful recipient material for the genetic transformation of broccoli. Subcellular localization proved that the glucoraphanin metabolism-related gene Bol031350 and clubroot resistance gene CRa were both expressed in the cytoplasm and nucleus, which provided a scientific basis for studying the regulation of glucosinolate metabolism and clubroot resistance in cruciferous crops. Therefore, these findings will provide new insight into the improvement of the genetic transformation and molecular breeding of Brassica oleracea crops.
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Wang L, Li J, Lin Y, Dang K, Wan J, Meng S, Qiu X, Wang Q, Mu L, Ding D, Luo H, Tang J. Comparative transcriptomics analysis at the key stage of maize ear development dissect heterosis. THE PLANT GENOME 2023; 16:e20293. [PMID: 36478177 DOI: 10.1002/tpg2.20293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/02/2022] [Indexed: 05/10/2023]
Abstract
Important traits related to maize (Zea mays L.) grain yield, such as kernel row number, ear length, kernel number per row, are determined during the development of female inflorescence. There is a significant positive correlation between yield component and the activity of inflorescence meristem (IM). To find the key stage of heterosis in the development of the ear, immature ears (from the IM stage until the end of the floral meristem [FM] stage) of Yudan888 and its parent lines were sampled to assay phenotype and for comparative transcriptomics analysis. The immature ear length of Yudan888 at the IM stage fitted an additive (mid-parental) model, but it showed high parental dominance at the spikelet-pair meristem (SPM) stage. Comparative analysis of transcriptomes suggested significant differences between additive and nonadditive expression patterns for different developmental stages. The number of distinct maternal or paternal genes (DMP) (genes expressed only in one parental line and their hybrid but silenced in another line) was greater than ABF1 (genes expressed in both parental lines but silenced in hybrid) at each stage. Gene Ontology (GO) enrichment suggested that the cell redox homeostasis genes with overdominance expression patterns in hybrids have an important contribution to heterosis. According to our research, an ear length heterosis network was established. The discovery of the inflection point for ear length heterosis allows us for inferring that the transition state of IM to SPM may be the starting point of ear length heterosis. These findings improved the understanding of maize ear length heterosis.
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Affiliation(s)
- Liangfa Wang
- College of Agronomy, Hunan Agricultural Univ., Changsha, 410128, China
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Juan Li
- College of Agronomy, Hunan Agricultural Univ., Changsha, 410128, China
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- Institute of Crop Germplasm Resources, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Yuan Lin
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- Hebi Academy of Agricultural Sciences, Hebi, 458030, China
| | - Kuntai Dang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Jiong Wan
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Shujun Meng
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Xiaoqian Qiu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Qiyue Wang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Liqin Mu
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
| | - Hongbing Luo
- College of Agronomy, Hunan Agricultural Univ., Changsha, 410128, China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural Univ., Zhengzhou, 450002, China
- The Shennong Laboratory, Zhengzhou, 450002, China
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28
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Li L, Chen X. Auxin regulation on crop: from mechanisms to opportunities in soybean breeding. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:16. [PMID: 37313296 PMCID: PMC10248601 DOI: 10.1007/s11032-023-01361-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/10/2023] [Indexed: 06/15/2023]
Abstract
Breeding crop varieties with high yield and ideal plant architecture is a desirable goal of agricultural science. The success of "Green Revolution" in cereal crops provides opportunities to incorporate phytohormones in crop breeding. Auxin is a critical phytohormone to determine nearly all the aspects of plant development. Despite the current knowledge regarding auxin biosynthesis, auxin transport and auxin signaling have been well characterized in model Arabidopsis (Arabidopsis thaliana) plants, how auxin regulates crop architecture is far from being understood, and the introduction of auxin biology in crop breeding stays in the theoretical stage. Here, we give an overview on molecular mechanisms of auxin biology in Arabidopsis, and mainly summarize auxin contributions for crop plant development. Furthermore, we propose potential opportunities to integrate auxin biology in soybean (Glycine max) breeding.
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Affiliation(s)
- Linfang Li
- College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
- Haixia Institute of Science and Technology, Horticultural Plant Biology and Metabolomics Center, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
| | - Xu Chen
- Haixia Institute of Science and Technology, Horticultural Plant Biology and Metabolomics Center, Fujian Agriculture and Forestry University, Fuzhou, 350002 Fujian China
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Deng K, Zhang Q, Hong Y, Yan J, Hu X. iCREPCP: A deep learning-based web server for identifying base-resolution cis-regulatory elements within plant core promoters. PLANT COMMUNICATIONS 2023; 4:100455. [PMID: 36171722 PMCID: PMC9860178 DOI: 10.1016/j.xplc.2022.100455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/16/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Affiliation(s)
- Kaixuan Deng
- College of Informatics, Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, Hubei, P.R. China
| | - Qizhe Zhang
- College of Informatics, Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, Hubei, P.R. China
| | - Yuxin Hong
- College of Informatics, Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, Hubei, P.R. China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, P.R. China.
| | - Xuehai Hu
- College of Informatics, Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, Hubei, P.R. China.
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30
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Wang Y, Tang Q, Pu L, Zhang H, Li X. CRISPR-Cas technology opens a new era for the creation of novel maize germplasms. FRONTIERS IN PLANT SCIENCE 2022; 13:1049803. [PMID: 36589095 PMCID: PMC9800880 DOI: 10.3389/fpls.2022.1049803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Maize (Zea mays) is one of the most important food crops in the world with the greatest global production, and contributes to satiating the demands for human food, animal feed, and biofuels. With population growth and deteriorating environment, efficient and innovative breeding strategies to develop maize varieties with high yield and stress resistance are urgently needed to augment global food security and sustainable agriculture. CRISPR-Cas-mediated genome-editing technology (clustered regularly interspaced short palindromic repeats (CRISPR)-Cas (CRISPR-associated)) has emerged as an effective and powerful tool for plant science and crop improvement, and is likely to accelerate crop breeding in ways dissimilar to crossbreeding and transgenic technologies. In this review, we summarize the current applications and prospects of CRISPR-Cas technology in maize gene-function studies and the generation of new germplasm for increased yield, specialty corns, plant architecture, stress response, haploid induction, and male sterility. Optimization of gene editing and genetic transformation systems for maize is also briefly reviewed. Lastly, the challenges and new opportunities that arise with the use of the CRISPR-Cas technology for maize genetic improvement are discussed.
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Affiliation(s)
- Youhua Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qiaoling Tang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Li Pu
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Haiwen Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xinhai Li
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
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31
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He Y, Shi H, Li Z, Kang J, Li M, Liu M, Liu Y, Zhao J, Dou T, Jia J, Duan Y, Wang K, Ge C. Identification of New Genes and Genetic Variant Loci Associated with Breast Muscle Development in the Mini-Cobb F2 Chicken Population Using a Genome-Wide Association Study. Genes (Basel) 2022; 13:2153. [PMID: 36421827 PMCID: PMC9690689 DOI: 10.3390/genes13112153] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 06/22/2024] Open
Abstract
Native chicken has become a favorite choice for consumers in many Asian countries recently, not only for its potential nutritional value but also for its deep ties to local food culture. However, low growth performance and limited meat production restrict their economic potential. Conducting a genome-wide association study (GWAS) for chicken-breast muscle development will help identify loci or candidate genes for different traits and potentially provide new insight into this phenotype in chickens and other species. To improve native chicken growth performance, especially breast muscle development, we performed a GWAS to explore the potential genetic mechanisms of breast muscle development in an F2 population constructed by reciprocal crosses between a fast-growing broiler chicken (Cobb500) and a slow-growing native chicken (Daweishan mini chicken). The results showed that 11 SNPs, which exceeded the 10% genome significance level (p = 1.79 × 10-8) were considered associated with breast muscle development traits, where six SNPS, NC_006126.5: g.3138376T>G, NC_006126.5: g.3138452A>G, NC_006088.5: g.73837197A>G, NC_006088.5: g.159574275A>G, NC_006089.5: g.80832197A>G, and NC_006127.5: g.48759869G>T was first identified in this study. In total, 13 genes near the SNPs were chosen as candidate genes, and none of them had previously been studied for their role in breast muscle development. After grouping the F2 population according to partial SNPs, significant differences in breast muscle weight were found among different genotypes (p < 0.05), and the expression levels of ALOX5AP, USPL1, CHRNA9, and EFNA5 among candidate genes were also significantly different (p < 0.05). The results of this study will contribute to the future exploration of the potential genetic mechanisms of breast muscle development in domestic chickens and also support the expansion of the market for native chicken in the world.
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Affiliation(s)
- Yang He
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Hongmei Shi
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Zijian Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jiajia Kang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Mengyuan Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Mengqian Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yong Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jinbo Zhao
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Tengfei Dou
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Junjing Jia
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yong Duan
- Kunming Animal Health Supervision, 118 Gulou Road, Kunming 650000, China
| | - Kun Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changrong Ge
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
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Zeng T, Meng Z, Yue R, Lu S, Li W, Li W, Meng H, Sun Q. Genome wide association analysis for yield related traits in maize. BMC PLANT BIOLOGY 2022; 22:449. [PMID: 36127632 PMCID: PMC9490995 DOI: 10.1186/s12870-022-03812-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Understanding the genetic basis of yield related traits contributes to the improvement of grain yield in maize. RESULTS Using 291 excellent maize inbred lines as materials, six yield related traits of maize, including grain yield per plant (GYP), grain length (GL), grain width (GW), kernel number per row (KNR), 100 kernel weight (HKW) and tassel branch number (TBN) were investigated in Jinan, in 2017, 2018 and 2019. The average values of three environments were taken as the phenotypic data of yield related traits, and they were statistically analyzed. Based on 38,683 high-quality SNP markers in the whole genome of the association panel, the MLM with PCA model was used for genome-wide association analysis (GWAS) to obtain 59 significantly associated SNP sites. Moreover, 59 significantly associated SNPs (P < 0.0001) referring to GYP, GL, GW, KNR, HKW and TBN, of which 14 SNPs located in yield related QTLs/QTNs previously reported. A total of 66 candidate genes were identified based on the 59 significantly associated SNPs, of which 58 had functional annotation. CONCLUSIONS Using genome-wide association analysis strategy to identify genetic loci related to maize yield, a total of 59 significantly associated SNP were detected. Those results aid in our understanding of the genetic architecture of maize yield and provide useful SNPs for genetic improvement of maize.
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Affiliation(s)
- Tingru Zeng
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Zhaodong Meng
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Runqing Yue
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Shouping Lu
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Wenlan Li
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Wencai Li
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Hong Meng
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Qi Sun
- Maize Institute, Shandong Academy of Agricultural Sciences, Jinan, China
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Gui S, Wei W, Jiang C, Luo J, Chen L, Wu S, Li W, Wang Y, Li S, Yang N, Li Q, Fernie AR, Yan J. A pan-Zea genome map for enhancing maize improvement. Genome Biol 2022; 23:178. [PMID: 35999561 PMCID: PMC9396798 DOI: 10.1186/s13059-022-02742-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/27/2022] [Indexed: 12/22/2022] Open
Abstract
Background Maize (Zea mays L.) is at the vanguard facing the upcoming breeding challenges. However, both a super pan-genome for the Zea genus and a comprehensive genetic variation map for maize breeding are still lacking. Results Here, we construct an approximately 6.71-Gb pan-Zea genome that contains around 4.57-Gb non-B73 reference sequences from fragmented de novo assemblies of 721 pan-Zea individuals. We annotate a total of 58,944 pan-Zea genes and find around 44.34% of them are dispensable in the pan-Zea population. Moreover, 255,821 common structural variations are identified and genotyped in a maize association mapping panel. Further analyses reveal gene presence/absence variants and their potential roles during domestication of maize. Combining genetic analyses with multi-omics data, we demonstrate how structural variants are associated with complex agronomic traits. Conclusions Our results highlight the underexplored role of the pan-Zea genome and structural variations to further understand domestication of maize and explore their potential utilization in crop improvement. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02742-7.
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Affiliation(s)
- Songtao Gui
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wenjie Wei
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Chenglin Jiang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jingyun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Lu Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shenshen Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wenqiang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shuyan Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Qing Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Golm, Germany
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. .,Hubei Hongshan Laboratory, Wuhan, 430070, China.
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Pei Y, Deng Y, Zhang H, Zhang Z, Liu J, Chen Z, Cai D, Li K, Du Y, Zang J, Xin P, Chu J, Chen Y, Zhao L, Liu J, Chen H. EAR APICAL DEGENERATION1 regulates maize ear development by maintaining malate supply for apical inflorescence. THE PLANT CELL 2022; 34:2222-2241. [PMID: 35294020 PMCID: PMC9134072 DOI: 10.1093/plcell/koac093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/12/2022] [Indexed: 05/12/2023]
Abstract
Ear length (EL) is a key trait that contributes greatly to grain yield in maize (Zea mays). While numerous quantitative trait loci for EL have been identified, few causal genes have been studied in detail. Here we report the characterization of ear apical degeneration1 (ead1) exhibiting strikingly shorter ears and the map-based cloning of the casual gene EAD1. EAD1 is preferentially expressed in the xylem of immature ears and encodes an aluminum-activated malate transporter localizing to the plasma membrane. We show that EAD1 is a malate efflux transporter and loss of EAD1 leads to lower malate contents in the apical part of developing inflorescences. Exogenous injections of malate rescued the shortened ears of ead1. These results demonstrate that EAD1 plays essential roles in regulating maize ear development by delivering malate through xylem vessels to the apical part of the immature ear. Overexpression of EAD1 led to greater EL and kernel number per row and the EAD1 genotype showed a positive association with EL in two different genetic segregating populations. Our work elucidates the critical role of EAD1 in malate-mediated female inflorescence development and provides a promising genetic resource for enhancing maize grain yield.
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Affiliation(s)
| | | | - Huairen Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhaogui Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jie Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Zhibin Chen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Darun Cai
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Kai Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Yimo Du
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Jie Zang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Peiyong Xin
- National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinfang Chu
- National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yuhang Chen
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100039, China
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Zhao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Juan Liu
- Author for correspondence: (H.C.); (J.L.)
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Cowling CL, Kelley DR. An unknown protein influences maize yield via sugar and auxin. THE NEW PHYTOLOGIST 2022; 234:337-339. [PMID: 35218570 DOI: 10.1111/nph.18027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Craig L Cowling
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA
| | - Dior R Kelley
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA
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