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Hamann E, Groen SC, Dunivant TS, Ćalić I, Cochran C, Konshok R, Purugganan MD, Franks SJ. Selection on genome-wide gene expression plasticity of rice in wet and dry field environments. Mol Ecol 2024:e17522. [PMID: 39215462 DOI: 10.1111/mec.17522] [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: 01/30/2024] [Revised: 07/29/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024]
Abstract
Gene expression can be highly plastic in response to environmental variation. However, we know little about how expression plasticity is shaped by natural selection and evolves in wild and domesticated species. We used genotypic selection analysis to characterize selection on drought-induced plasticity of over 7,500 leaf transcripts of 118 rice accessions (genotypes) from different environmental conditions grown in a field experiment. Gene expression plasticity was neutral for most gradually plastic transcripts, but transcripts with discrete patterns of expression showed stronger selection on expression plasticity. Whether plasticity was adaptive and co-gradient or maladaptive and counter-gradient varied among varietal groups. No transcripts that experienced selection for plasticity across environments showed selection against plasticity within environments, indicating a lack of evidence for costs of adaptive plasticity that may constrain its evolution. Selection on expression plasticity was influenced by degree of plasticity, transcript length and gene body methylation. We observed positive selection on plasticity of co-expression modules containing transcripts involved in photosynthesis, translation and responsiveness to abiotic stress. Taken together, these results indicate that patterns of selection on expression plasticity were context-dependent and likely associated with environmental conditions of varietal groups, but that the evolution of adaptive plasticity would likely not be constrained by opposing patterns of selection on plasticity within compared to across environments. These results offer a genome-wide view of patterns of selection and ecological constraints on gene expression plasticity and provide insights into the interplay between plastic and evolutionary responses to drought at the molecular level.
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Affiliation(s)
- Elena Hamann
- Department of Biological Sciences, Fordham University, Bronx, New York, USA
- Department of Biology, Institute of Plant Ecology and Evolution, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Simon C Groen
- Department of Nematology, University of California Riverside, Riverside, California, USA
- Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California Riverside, Riverside, California, USA
- Department of Botany and Plant Sciences, University of California Riverside, Riverside, California, USA
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, New York, USA
| | - Taryn S Dunivant
- Department of Nematology, University of California Riverside, Riverside, California, USA
- Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California Riverside, Riverside, California, USA
- Department of Botany and Plant Sciences, University of California Riverside, Riverside, California, USA
| | - Irina Ćalić
- Department of Biological Sciences, Fordham University, Bronx, New York, USA
| | - Colleen Cochran
- Department of Biological Sciences, Fordham University, Bronx, New York, USA
| | - Rachel Konshok
- Department of Biological Sciences, Fordham University, Bronx, New York, USA
| | - Michael D Purugganan
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, New York, USA
- Center for Genomics and Systems Biology, NYU Abu Dhabi Research Institute, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Steven J Franks
- Department of Biological Sciences, Fordham University, Bronx, New York, USA
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2
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Zhao L, Liu Y, Zhu Y, Chen S, Du Y, Deng L, Liu L, Li X, Chen W, Xu Z, Xiong Y, Ming Y, Fang S, Chen L, Wang H, Yu D. Transcription factor OsWRKY11 induces rice heading at low concentrations but inhibits rice heading at high concentrations. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024; 66:1385-1407. [PMID: 38818952 DOI: 10.1111/jipb.13679] [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: 11/08/2023] [Accepted: 04/26/2024] [Indexed: 06/01/2024]
Abstract
The heading date of rice is a crucial agronomic characteristic that influences its adaptability to different regions and its productivity potential. Despite the involvement of WRKY transcription factors in various biological processes related to development, the precise mechanisms through which these transcription factors regulate the heading date in rice have not been well elucidated. The present study identified OsWRKY11 as a WRKY transcription factor which exhibits a pivotal function in the regulation of the heading date in rice through a comprehensive screening of a clustered regularly interspaced palindromic repeats (CRISPR) ‒ CRISPR-associated nuclease 9 mutant library that specifically targets the WRKY genes in rice. The heading date of oswrky11 mutant plants and OsWRKY11-overexpressing plants was delayed compared with that of the wild-type plants under short-day and long-day conditions. Mechanistic investigation revealed that OsWRKY11 exerts dual effects on transcriptional promotion and suppression through direct and indirect DNA binding, respectively. Under normal conditions, OsWRKY11 facilitates flowering by directly inducing the expression of OsMADS14 and OsMADS15. The presence of elevated levels of OsWRKY11 protein promote formation of a ternary protein complex involving OsWRKY11, Heading date 1 (Hd1), and Days to heading date 8 (DTH8), and this complex then suppresses the expression of Ehd1, which leads to a delay in the heading date. Subsequent investigation revealed that a mild drought condition resulted in a modest increase in OsWRKY11 expression, promoting heading. Conversely, under severe drought conditions, a significant upregulation of OsWRKY11 led to the suppression of Ehd1 expression, ultimately causing a delay in heading date. Our findings uncover a previously unacknowledged mechanism through which the transcription factor OsWRKY11 exerts a dual impact on the heading date by directly and indirectly binding to the promoters of target genes.
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Affiliation(s)
- Lirong Zhao
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, The Chinese Academy of Sciences, Mengla, 666303, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Yunwei Liu
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
| | - Yi Zhu
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- School of Life Sciences, Yunnan University, Kunming, 650500, China
| | - Shidie Chen
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- Southwest United Graduate School, Yunnan University, Kunming, 650092, China
| | - Yang Du
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
| | - Luyao Deng
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
| | - Lei Liu
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, The Chinese Academy of Sciences, Mengla, 666303, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Xia Li
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- Southwest United Graduate School, Yunnan University, Kunming, 650092, China
| | - Wanqin Chen
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
| | - Zhiyu Xu
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
| | - Yangyang Xiong
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- School of Life Sciences, Yunnan University, Kunming, 650500, China
| | - You Ming
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- School of Life Sciences, Yunnan University, Kunming, 650500, China
| | - Siyu Fang
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
| | - Ligang Chen
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, The Chinese Academy of Sciences, Mengla, 666303, China
| | - Houping Wang
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- School of Life Sciences, Yunnan University, Kunming, 650500, China
| | - Diqiu Yu
- State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan, Yunnan University, Kunming, 650500, China
- School of Life Sciences, Yunnan University, Kunming, 650500, China
- Southwest United Graduate School, Yunnan University, Kunming, 650092, China
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3
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Gupta S, Groen SC, Zaidem ML, Sajise AGC, Calic I, Natividad MA, McNally KL, Vergara GV, Satija R, Franks SJ, Singh RK, Joly-Lopez Z, Purugganan MD. Systems genomics of salinity stress response in rice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.31.596807. [PMID: 38895411 PMCID: PMC11185513 DOI: 10.1101/2024.05.31.596807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Populations can adapt to stressful environments through changes in gene expression. However, the role of gene regulation in mediating stress response and adaptation remains largely unexplored. Here, we use an integrative field dataset obtained from 780 plants of Oryza sativa ssp. indica (rice) grown in a field experiment under normal or moderate salt stress conditions to examine selection and evolution of gene expression variation under salinity stress conditions. We find that salinity stress induces increased selective pressure on gene expression. Further, we show that trans-eQTLs rather than cis-eQTLs are primarily associated with rice's gene expression under salinity stress, potentially via a few master-regulators. Importantly, and contrary to the expectations, we find that cis-trans reinforcement is more common than cis-trans compensation which may be reflective of rice diversification subsequent to domestication. We further identify genetic fixation as the likely mechanism underlying this compensation/reinforcement. Additionally, we show that cis- and trans-eQTLs are under different selection regimes, giving us insights into the evolutionary dynamics of gene expression variation. By examining genomic, transcriptomic, and phenotypic variation across a rice population, we gain insights into the molecular and genetic landscape underlying adaptive salinity stress responses, which is relevant for other crops and other stresses.
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Affiliation(s)
- Sonal Gupta
- Center for Genomics and Systems Biology, New York University, New York, NY USA
| | - Simon C Groen
- Center for Genomics and Systems Biology, New York University, New York, NY USA
- Department of Nematology and Department of Botany & Plant Sciences, University of California, Riverside, CA USA
- Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, CA USA
| | - Maricris L. Zaidem
- Center for Genomics and Systems Biology, New York University, New York, NY USA
- Department of Biology, University of Oxford, Oxford, England
| | | | - Irina Calic
- Department of Biological Sciences, Fordham University, Bronx, NY USA
- Inari Agriculture Nv, Gent, Belgium
| | | | | | - Georgina V. Vergara
- International Rice Research Institute, Los Baños, Philippines
- Institute of Crop Science, University of the Philippines, Los Baños, Philippines
| | - Rahul Satija
- Center for Genomics and Systems Biology, New York University, New York, NY USA
- New York Genome Center, New York, NY USA
| | - Steven J. Franks
- Department of Biological Sciences, Fordham University, Bronx, NY USA
| | - Rakesh K. Singh
- International Rice Research Institute, Los Baños, Philippines
- International Center for Biosaline Agriculture, Dubai, UAE (current affiliation)
| | - Zoé Joly-Lopez
- Center for Genomics and Systems Biology, New York University, New York, NY USA
- Département de Chimie, Université du Quebéc à Montréal, Montreal, Quebec, Canada
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4
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Yang G, Pan Y, Pan W, Song Q, Zhang R, Tong W, Cui L, Ji W, Song W, Song B, Deng P, Nie X. Combined GWAS and eGWAS reveals the genetic basis underlying drought tolerance in emmer wheat (Triticum turgidum L.). THE NEW PHYTOLOGIST 2024; 242:2115-2131. [PMID: 38358006 DOI: 10.1111/nph.19589] [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: 11/13/2023] [Accepted: 01/25/2024] [Indexed: 02/16/2024]
Abstract
Drought is one of the major environmental constraints for wheat production world-wide. As the progenitor and genetic reservoir of common wheat, emmer wheat is considered as an invaluable gene pool for breeding drought-tolerant wheat. Combining GWAS and eGWAS analysis of 107 accessions, we identified 86 QTLs, 105 462 eQTLs as well as 68 eQTL hotspots associating with drought tolerance (DT) in emmer wheat. A complex regulatory network composed of 185 upstream regulator and 2432 downstream drought-responsive candidates was developed, of which TtOTS1 was found to play a negative effect in determining DT through affecting root development. This study sheds light on revealing the genetic basis underlying DT, which will provide the indispensable genes and germplasm resources for elite drought tolerance wheat improvement and breeding.
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Affiliation(s)
- Guang Yang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang, Weifang, 261325, Shandong, China
| | - Yan Pan
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wenqiu Pan
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Qingting Song
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Ruoyu Zhang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wei Tong
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Licao Cui
- College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - Wanquan Ji
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Weining Song
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Baoxing Song
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang, Weifang, 261325, Shandong, China
| | - Pingchuan Deng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Pioneering Innovation Center for Wheat Stress Tolerance Improvement, State Key Laboratory of Crop Stress Biology for Arid Areas, Yangling, 712100, Shaanxi, China
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5
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Dilworth J, Million WC, Ruggeri M, Hall ER, Dungan AM, Muller EM, Kenkel CD. Synergistic response to climate stressors in coral is associated with genotypic variation in baseline expression. Proc Biol Sci 2024; 291:20232447. [PMID: 38531406 DOI: 10.1098/rspb.2023.2447] [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: 11/01/2023] [Accepted: 02/16/2024] [Indexed: 03/28/2024] Open
Abstract
As environments are rapidly reshaped due to climate change, phenotypic plasticity plays an important role in the ability of organisms to persist and is considered an especially important acclimatization mechanism for long-lived sessile organisms such as reef-building corals. Often, this ability of a single genotype to display multiple phenotypes depending on the environment is modulated by changes in gene expression, which can vary in response to environmental changes via two mechanisms: baseline expression and expression plasticity. We used transcriptome-wide expression profiling of eleven genotypes of common-gardened Acropora cervicornis to explore genotypic variation in the expression response to thermal and acidification stress, both individually and in combination. We show that the combination of these two stressors elicits a synergistic gene expression response, and that both baseline expression and expression plasticity in response to stress show genotypic variation. Additionally, we demonstrate that frontloading of a large module of coexpressed genes is associated with greater retention of algal symbionts under combined stress. These results illustrate that variation in the gene expression response of individuals to climate change stressors can persist even when individuals have shared environmental histories, affecting their performance under future climate change scenarios.
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Affiliation(s)
| | | | - Maria Ruggeri
- University of Southern California, Los Angeles, CA, USA
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6
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Soma F, Kitomi Y, Kawakatsu T, Uga Y. Life-Cycle Multiomics of Rice Shoots Reveals Growth Stage-Specific Effects of Drought Stress and Time-Lag Drought Responses. PLANT & CELL PHYSIOLOGY 2024; 65:156-168. [PMID: 37929886 DOI: 10.1093/pcp/pcad135] [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: 05/30/2023] [Revised: 10/24/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023]
Abstract
Field-grown rice plants are exposed to various stresses at different stages of their life cycle, but little is known about the effects of stage-specific stresses on phenomes and transcriptomes. In this study, we performed integrated time-course multiomics on rice at 3-d intervals from seedling to heading stage under six drought conditions in a well-controlled growth chamber. Drought stress at seedling and reproductive stages reduced yield performance by reducing seed number and setting rate, respectively. High temporal resolution analysis revealed that drought response occurred in two steps: a rapid response via the abscisic acid (ABA) signaling pathway and a slightly delayed DEHYDRATION-RESPONSIVE ELEMENT-BINDING PROTEIN (DREB) pathway, allowing plants to respond flexibly to deteriorating soil water conditions. Our long-term time-course multiomics showed that temporary drought stress delayed flowering due to prolonged expression of the flowering repressor gene GRAIN NUMBER, PLANT HEIGHT AND HEADING DATE 7 (Ghd7) and delayed expression of the florigen genes HEADING DATE 3a (Hd3a) and RICE FLOWERING LOCUS T 1 (RFT1). Our life-cycle multiomics dataset on rice shoots under drought conditions provides a valuable resource for further functional genomic studies to improve crop resilience to drought stress.
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Affiliation(s)
- Fumiyuki Soma
- Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kan-non-dai, Tsukuba, Ibaraki, 305-8518 Japan
| | - Yuka Kitomi
- Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kan-non-dai, Tsukuba, Ibaraki, 305-8518 Japan
| | - Taiji Kawakatsu
- Institute of Agrobiological Sciences, National Agriculture and Food Research Organization, 3-1-3 Kan-non-dai, Tsukuba, Ibaraki, 305-8604 Japan
| | - Yusaku Uga
- Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kan-non-dai, Tsukuba, Ibaraki, 305-8518 Japan
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7
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Wang M, Huang L, Kou Y, Li D, Hu W, Fan D, Cheng S, Yang Y, Zhang Z. Differentiation of Morphological Traits and Genome-Wide Expression Patterns between Rice Subspecies Indica and Japonica. Genes (Basel) 2023; 14:1971. [PMID: 37895320 PMCID: PMC10606143 DOI: 10.3390/genes14101971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/17/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
Changes in gene expression patterns can lead to the variation of morphological traits. This phenomenon is particularly evident in recent evolution events such as crop domestication and responses to environmental stress, where alterations in expression levels can efficiently give rise to domesticated syndromes and adaptive phenotypes. Rice (Oryza sativa L.), one of the world's most crucial cereal crops, comprises two morphologically distinct subspecies, Indica and Japonica. To investigate the morphological divergence between these two rice subspecies, this study planted a total of 315 landrace individuals of both Indica and Japonica under identical cultivation conditions. Out of the 16 quantitative traits measured in this study, 12 exhibited significant differences between the subspecies. To determine the genetic divergence between Indica and Japonica at the whole-genome sequence level, we constructed a phylogenetic tree using a resequencing dataset encompassing 95 rice landrace accessions. The samples formed two major groups that neatly corresponded to the two subspecies, Indica and Japonica. Furthermore, neighbor-joining (NJ) trees based on the expression quantity of effectively expressed genes (EEGs) across five different tissues categorized 12 representative samples into two major clades aligning with the two subspecies. These results imply that divergence in genome-wide expression levels undergoes stabilizing selection under non-stressful conditions, with evolutionary trends in expression levels mirroring sequence variation levels. This study further supports the pivotal role of changes in genome-wide expression regulation in the divergence of the two rice subspecies, Indica and Japonica.
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Affiliation(s)
- Meixia Wang
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
| | - Lei Huang
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China;
| | - Yixuan Kou
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin 541004, China
| | - Danqi Li
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China
| | - Wan Hu
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China
| | - Dengmei Fan
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
| | - Shanmei Cheng
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
| | - Yi Yang
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
| | - Zhiyong Zhang
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang 330045, China; (Y.K.); (D.L.); (W.H.); (D.F.); (S.C.); (Y.Y.)
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin 541004, China
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8
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Bhaskara GB, Haque T, Bonnette JE, Napier JD, Bauer D, Schmutz J, Juenger TE. Evolutionary Analyses of Gene Expression Divergence in Panicum hallii: Exploring Constitutive and Plastic Responses Using Reciprocal Transplants. Mol Biol Evol 2023; 40:msad210. [PMID: 37738160 PMCID: PMC10556983 DOI: 10.1093/molbev/msad210] [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: 05/23/2023] [Revised: 08/27/2023] [Accepted: 09/18/2023] [Indexed: 09/24/2023] Open
Abstract
The evolution of gene expression is thought to be an important mechanism of local adaptation and ecological speciation. Gene expression divergence occurs through the evolution of cis- polymorphisms and through more widespread effects driven by trans-regulatory factors. Here, we explore expression and sequence divergence in a large sample of Panicum hallii accessions encompassing the species range using a reciprocal transplantation experiment. We observed widespread genotype and transplant site drivers of expression divergence, with a limited number of genes exhibiting genotype-by-site interactions. We used a modified FST-QST outlier approach (QPC analysis) to detect local adaptation. We identified 514 genes with constitutive expression divergence above and beyond the levels expected under neutral processes. However, no plastic expression responses met our multiple testing correction as QPC outliers. Constitutive QPC outlier genes were involved in a number of developmental processes and responses to abiotic environments. Leveraging earlier expression quantitative trait loci results, we found a strong enrichment of expression divergence, including for QPC outliers, in genes previously identified with cis and cis-environment interactions but found no patterns related to trans-factors. Population genetic analyses detected elevated sequence divergence of promoters and coding sequence of constitutive expression outliers but little evidence for positive selection on these proteins. Our results are consistent with a hypothesis of cis-regulatory divergence as a primary driver of expression divergence in P. hallii.
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Affiliation(s)
| | - Taslima Haque
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Jason E Bonnette
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Joseph D Napier
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Diane Bauer
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jeremy Schmutz
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Thomas E Juenger
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
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9
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Vicentini G, Biancucci M, Mineri L, Chirivì D, Giaume F, Miao Y, Kyozuka J, Brambilla V, Betti C, Fornara F. Environmental control of rice flowering time. PLANT COMMUNICATIONS 2023; 4:100610. [PMID: 37147799 PMCID: PMC10504588 DOI: 10.1016/j.xplc.2023.100610] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 04/14/2023] [Accepted: 04/30/2023] [Indexed: 05/07/2023]
Abstract
Correct measurement of environmental parameters is fundamental for plant fitness and survival, as well as for timing developmental transitions, including the switch from vegetative to reproductive growth. Important parameters that affect flowering time include day length (photoperiod) and temperature. Their response pathways have been best described in Arabidopsis, which currently offers a detailed conceptual framework and serves as a comparison for other species. Rice, the focus of this review, also possesses a photoperiodic flowering pathway, but 150 million years of divergent evolution in very different environments have diversified its molecular architecture. The ambient temperature perception pathway is strongly intertwined with the photoperiod pathway and essentially converges on the same genes to modify flowering time. When observing network topologies, it is evident that the rice flowering network is centered on EARLY HEADING DATE 1, a rice-specific transcriptional regulator. Here, we summarize the most important features of the rice photoperiodic flowering network, with an emphasis on its uniqueness, and discuss its connections with hormonal, temperature perception, and stress pathways.
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Affiliation(s)
- Giulio Vicentini
- Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milan, Italy
| | - Marco Biancucci
- Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy
| | - Lorenzo Mineri
- Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy
| | - Daniele Chirivì
- Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy
| | - Francesca Giaume
- Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milan, Italy
| | - Yiling Miao
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
| | - Junko Kyozuka
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
| | - Vittoria Brambilla
- Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milan, Italy
| | - Camilla Betti
- Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy
| | - Fabio Fornara
- Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy.
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10
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Sun J, Okada M, Tameshige T, Shimizu-Inatsugi R, Akiyama R, Nagano A, Sese J, Shimizu K. A low-coverage 3' RNA-seq to detect homeolog expression in polyploid wheat. NAR Genom Bioinform 2023; 5:lqad067. [PMID: 37448590 PMCID: PMC10336777 DOI: 10.1093/nargab/lqad067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 06/12/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Although allopolyploid species are common among natural and crop species, it is not easy to distinguish duplicated genes, known as homeologs, during their genomic analysis. Yet, cost-efficient RNA sequencing (RNA-seq) is to be developed for large-scale transcriptomic studies such as time-series analysis and genome-wide association studies in allopolyploids. In this study, we employed a 3' RNA-seq utilizing 3' untranslated regions (UTRs) containing frequent mutations among homeologous genes, compared to coding sequence. Among the 3' RNA-seq protocols, we examined a low-cost method Lasy-Seq using an allohexaploid bread wheat, Triticum aestivum. HISAT2 showed the best performance for 3' RNA-seq with the least mapping errors and quick computational time. The number of detected homeologs was further improved by extending 1 kb of the 3' UTR annotation. Differentially expressed genes in response to mild cold treatment detected by the 3' RNA-seq were verified with high-coverage conventional RNA-seq, although the latter detected more differentially expressed genes. Finally, downsampling showed that even a 2 million sequencing depth can still detect more than half of expressed homeologs identifiable by the conventional 32 million reads. These data demonstrate that this low-cost 3' RNA-seq facilitates large-scale transcriptomic studies of allohexaploid wheat and indicate the potential application to other allopolyploid species.
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Affiliation(s)
- Jianqiang Sun
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8517, Japan
| | - Moeko Okada
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
- Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, Kanagawa 244-0813, Japan
| | - Toshiaki Tameshige
- Kihara Institute for Biological Research, Yokohama City University, 641-12 Maioka, Totsuka-ward, Yokohama, Kanagawa 244-0813, Japan
- Division of Biological Sciences, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara 630-0192, Japan
| | - Rie Shimizu-Inatsugi
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Reiko Akiyama
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Atsushi J Nagano
- Faculty of Agriculture, Ryukoku University, Yokotani 1-5, Seta Ohe-cho, Otsu, Shiga 520-2194, Japan
- Institute for Advanced Biosciences, Keio University, 403-1 Nipponkoku, Daihouji, Tsuruoka, Yamagata 997-0017, Japan
| | - Jun Sese
- Humanome Lab, Inc., 2-4-10, Tsukiji, Chuo-ku, Tokyo 104-0045, Japan
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11
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Castanera R, Morales-Díaz N, Gupta S, Purugganan M, Casacuberta JM. Transposons are important contributors to gene expression variability under selection in rice populations. eLife 2023; 12:RP86324. [PMID: 37467142 PMCID: PMC10393045 DOI: 10.7554/elife.86324] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023] Open
Abstract
Transposable elements (TEs) are an important source of genome variability. Here, we analyze their contribution to gene expression variability in rice by performing a TE insertion polymorphism expression quantitative trait locus mapping using expression data from 208 varieties from the Oryza sativa ssp. indica and O. sativa ssp. japonica subspecies. Our data show that TE insertions are associated with changes of expression of many genes known to be targets of rice domestication and breeding. An important fraction of these insertions were already present in the rice wild ancestors, and have been differentially selected in indica and japonica rice populations. Taken together, our results show that small changes of expression in signal transduction genes induced by TE insertions accompany the domestication and adaptation of rice populations.
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Affiliation(s)
- Raúl Castanera
- Centre for Research in Agricultural Genomics, CRAG (CSIC-IRTA-UAB-UB), Campus UAB, Cerdanyola del Vallès, Barcelona, Spain
| | - Noemia Morales-Díaz
- Centre for Research in Agricultural Genomics, CRAG (CSIC-IRTA-UAB-UB), Campus UAB, Cerdanyola del Vallès, Barcelona, Spain
| | - Sonal Gupta
- Center for Genomics and Systems Biology, New York University, New York, United States
| | - Michael Purugganan
- Center for Genomics and Systems Biology, New York University, New York, United States
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates
| | - Josep M Casacuberta
- Centre for Research in Agricultural Genomics, CRAG (CSIC-IRTA-UAB-UB), Campus UAB, Cerdanyola del Vallès, Barcelona, Spain
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12
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Roberts M, Josephs EB. Weaker selection on genes with treatment-specific expression consistent with a limit on plasticity evolution in Arabidopsis thaliana. Genetics 2023; 224:iyad074. [PMID: 37094602 PMCID: PMC10484170 DOI: 10.1093/genetics/iyad074] [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: 03/06/2023] [Revised: 03/06/2023] [Accepted: 04/07/2023] [Indexed: 04/26/2023] Open
Abstract
Differential gene expression between environments often underlies phenotypic plasticity. However, environment-specific expression patterns are hypothesized to relax selection on genes, and thus limit plasticity evolution. We collated over 27 terabases of RNA-sequencing data on Arabidopsis thaliana from over 300 peer-reviewed studies and 200 treatment conditions to investigate this hypothesis. Consistent with relaxed selection, genes with more treatment-specific expression have higher levels of nucleotide diversity and divergence at nonsynonymous sites but lack stronger signals of positive selection. This result persisted even after controlling for expression level, gene length, GC content, the tissue specificity of expression, and technical variation between studies. Overall, our investigation supports the existence of a hypothesized trade-off between the environment specificity of a gene's expression and the strength of selection on said gene in A. thaliana. Future studies should leverage multiple genome-scale datasets to tease apart the contributions of many variables in limiting plasticity evolution.
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Affiliation(s)
- Miles Roberts
- Genetics and Genome Sciences Program, Michigan State University, East Lansing, MI 48824, USA
| | - Emily B Josephs
- Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA
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13
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Siqueira JA, Batista-Silva W, Zsögön A, Fernie AR, Araújo WL, Nunes-Nesi A. Plant domestication: setting biological clocks. TRENDS IN PLANT SCIENCE 2023; 28:597-608. [PMID: 36822959 DOI: 10.1016/j.tplants.2023.01.009] [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: 09/23/2022] [Revised: 01/16/2023] [Accepted: 01/24/2023] [Indexed: 05/22/2023]
Abstract
Through domestication of wild species, humans have induced large changes in the developmental and circadian clocks of plants. As a result of these changes, modern crops are more productive and adaptive to contrasting environments from the center of origin of their wild ancestors, albeit with low genetic variability and abiotic stress tolerance. Likewise, a complete restructuring of plant metabolic timekeeping probably occurred during crop domestication. Here, we highlight that contrasting timings among organs in wild relatives of crops allowed them to recognize environmental adversities faster. We further propose that connections among biological clocks, which were established during plant domestication, may represent a fundamental source of genetic variation to improve crop resilience and yield.
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Affiliation(s)
- João Antonio Siqueira
- National Institute of Science and Technology on Plant Physiology under Stress Conditions, Departamento de Biologia Vegetal, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil
| | - Willian Batista-Silva
- National Institute of Science and Technology on Plant Physiology under Stress Conditions, Departamento de Biologia Vegetal, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil
| | - Agustin Zsögön
- National Institute of Science and Technology on Plant Physiology under Stress Conditions, Departamento de Biologia Vegetal, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Wagner L Araújo
- National Institute of Science and Technology on Plant Physiology under Stress Conditions, Departamento de Biologia Vegetal, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
| | - Adriano Nunes-Nesi
- National Institute of Science and Technology on Plant Physiology under Stress Conditions, Departamento de Biologia Vegetal, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
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14
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Zhang G, Hu Y, Pan X, Cao R, Hu Q, Fu R, Risalat H, Shang B. Effects of increased ozone on rice panicle morphology. iScience 2023; 26:106471. [PMID: 37096034 PMCID: PMC10122049 DOI: 10.1016/j.isci.2023.106471] [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: 11/24/2022] [Revised: 01/10/2023] [Accepted: 03/20/2023] [Indexed: 04/08/2023] Open
Abstract
Ground-level ozone threatens rice production, which provides staple food for more than half of the world's population. Improving the adaptability of rice crops to ozone pollution is essential to ending global hunger. Rice panicles not only affect grain yield and grain quality but also the adaptability of plants to environmental changes, but the effects of ozone on rice panicles are not well understood. Through an open top chamber experiment, we investigated the effects of long-term and short-term ozone on the traits of rice panicles, finding that both long-term and short-term ozone significantly reduced the number of panicle branches and spikelets in rice, and especially the fertility of spikelets in hybrid cultivar. The reduction in spikelet quantity and fertility because of ozone exposure is caused by changes in secondary branches and attached spikelet. These results suggest the potential for effective adaptation to ozone by altering breeding targets and developing growth stage-specific agricultural techniques.
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Affiliation(s)
- Guoyou Zhang
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China
| | - Yaxin Hu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
- Changwang School of Honors, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xiaoya Pan
- College of Environmental Science and Engineering, Donghua University, ShangHai 201620, China
- Changwang School of Honors, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Rong Cao
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Qinan Hu
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Rao Fu
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Hamdulla Risalat
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Bo Shang
- Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
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15
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Osnato M. Evolution of flowering time genes in rice: From the paleolithic to the anthropocene. PLANT, CELL & ENVIRONMENT 2023; 46:1046-1059. [PMID: 36411270 DOI: 10.1111/pce.14495] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/08/2022] [Accepted: 11/12/2022] [Indexed: 06/16/2023]
Abstract
The evolutionary paths of humans and plants have crossed more than once throughout millennia. While agriculture contributed to the evolution of societies in prehistory, human selection of desirable traits contributed to the evolution of crops during centuries of cultivation. Among cereal crops, rice is currently grown around the globe and represents staple food for almost half of the world population. Over time, rice cultivation has expanded from subtropical to temperate regions thanks to artificial selection of mutants with impaired response to photoperiod. Additional regulatory mechanisms control flowering in response to diverse environmental cues, anticipating or delaying the floral transition to produce seeds in more favourable conditions. Nevertheless, the changing climate is threatening grain production because modern cultivars are sensitive to external fluctuations that go beyond their physiological range. One possibility to guarantee food production could be the exploitation of novel varieties obtained by crossing highly productive Asian rice with stress tolerant African rice. This review explores the genetic basis of the key traits that marked the long journey of rice cultivation from the end of the paleolithic to the anthropocene, with a focus on heading date. By 2050, will rice plants of the future flower in the outer space?
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Affiliation(s)
- Michela Osnato
- Institut de Ciència i Tecnologia Ambientals, Universitat Autónoma de Barcelona (ICTA-UAB), Bellaterra, Spain
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16
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Hull KL, Greenwood MP, Lloyd M, Bester-van der Merwe AE, Rhode C. Gene expression differentials driven by mass rearing and artificial selection in black soldier fly colonies. INSECT MOLECULAR BIOLOGY 2023; 32:86-105. [PMID: 36322045 DOI: 10.1111/imb.12816] [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: 02/03/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The micro-evolutionary forces that shape genetic diversity during domestication have been assessed in many plant and animal systems. However, the impact of these processes on gene expression, and consequent functional adaptation to artificial environments, remains under-investigated. In this study, whole-transcriptome dynamics associated with the early stages of domestication of the black soldier fly (BSF), Hermetia illucens, were assessed. Differential gene expression (DGE) was evaluated in relation to (i) generational time within the cultured environment (F2 vs. F3), and (ii) two selection strategies [no artificial selective pressure (NS); and selection for greater larval mass (SEL)]. RNA-seq was conducted on 5th instar BSF larvae (n = 36), representing equal proportions of the NS (F2 = 9; F3 = 9) and SEL (F2 = 9; F3 = 9) groups. A multidimensional scaling plot revealed greater gene expression variability within the NS and F2 subgroups, while the SEL group clustered separately with lower levels of variation. Comparisons between generations revealed 898 differentially expressed genes (DEGs; FDR-corrected p < 0.05), while between selection strategies, 213 DEGs were observed (FDR-corrected p < 0.05). Enrichment analyses revealed that metabolic, developmental, and defence response processes were over-expressed in the comparison between F2 and F3 larvae, while metabolic processes were the main differentiating factor between NS and SEL lines. This illustrates the functional adaptations that occur in BSF colonies across generations due to mass rearing; as well as highlighting genic dynamics associated with artificial selection for production traits that might inform future selective breeding strategies.
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Affiliation(s)
- Kelvin L Hull
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | | | - Melissa Lloyd
- Research and Development Department, Insect Technology Group Holdings UK Ltd., Guildford, UK
| | | | - Clint Rhode
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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17
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Napier JD, Heckman RW, Juenger TE. Gene-by-environment interactions in plants: Molecular mechanisms, environmental drivers, and adaptive plasticity. THE PLANT CELL 2023; 35:109-124. [PMID: 36342220 PMCID: PMC9806611 DOI: 10.1093/plcell/koac322] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/03/2022] [Indexed: 05/13/2023]
Abstract
Plants demonstrate a broad range of responses to environmental shifts. One of the most remarkable responses is plasticity, which is the ability of a single plant genotype to produce different phenotypes in response to environmental stimuli. As with all traits, the ability of plasticity to evolve depends on the presence of underlying genetic diversity within a population. A common approach for evaluating the role of genetic variation in driving differences in plasticity has been to study genotype-by-environment interactions (G × E). G × E occurs when genotypes produce different phenotypic trait values in response to different environments. In this review, we highlight progress and promising methods for identifying the key environmental and genetic drivers of G × E. Specifically, methodological advances in using algorithmic and multivariate approaches to understand key environmental drivers combined with new genomic innovations can greatly increase our understanding about molecular responses to environmental stimuli. These developing approaches can be applied to proliferating common garden networks that capture broad natural environmental gradients to unravel the underlying mechanisms of G × E. An increased understanding of G × E can be used to enhance the resilience and productivity of agronomic systems.
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Affiliation(s)
- Joseph D Napier
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, 78712, USA
| | - Robert W Heckman
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, 78712, USA
| | - Thomas E Juenger
- Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, 78712, USA
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18
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Verslues PE, Bailey-Serres J, Brodersen C, Buckley TN, Conti L, Christmann A, Dinneny JR, Grill E, Hayes S, Heckman RW, Hsu PK, Juenger TE, Mas P, Munnik T, Nelissen H, Sack L, Schroeder JI, Testerink C, Tyerman SD, Umezawa T, Wigge PA. Burning questions for a warming and changing world: 15 unknowns in plant abiotic stress. THE PLANT CELL 2023; 35:67-108. [PMID: 36018271 PMCID: PMC9806664 DOI: 10.1093/plcell/koac263] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/21/2022] [Indexed: 05/08/2023]
Abstract
We present unresolved questions in plant abiotic stress biology as posed by 15 research groups with expertise spanning eco-physiology to cell and molecular biology. Common themes of these questions include the need to better understand how plants detect water availability, temperature, salinity, and rising carbon dioxide (CO2) levels; how environmental signals interface with endogenous signaling and development (e.g. circadian clock and flowering time); and how this integrated signaling controls downstream responses (e.g. stomatal regulation, proline metabolism, and growth versus defense balance). The plasma membrane comes up frequently as a site of key signaling and transport events (e.g. mechanosensing and lipid-derived signaling, aquaporins). Adaptation to water extremes and rising CO2 affects hydraulic architecture and transpiration, as well as root and shoot growth and morphology, in ways not fully understood. Environmental adaptation involves tradeoffs that limit ecological distribution and crop resilience in the face of changing and increasingly unpredictable environments. Exploration of plant diversity within and among species can help us know which of these tradeoffs represent fundamental limits and which ones can be circumvented by bringing new trait combinations together. Better defining what constitutes beneficial stress resistance in different contexts and making connections between genes and phenotypes, and between laboratory and field observations, are overarching challenges.
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Affiliation(s)
| | - Julia Bailey-Serres
- Department of Botany and Plant Sciences, Center for Plant Cell Biology, University of California, Riverside, California 92521, USA
| | - Craig Brodersen
- School of the Environment, Yale University, New Haven, Connecticut 06511, USA
| | - Thomas N Buckley
- Department of Plant Sciences, University of California, Davis, California 95616, USA
| | - Lucio Conti
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | - Alexander Christmann
- School of Life Sciences, Technical University Munich, Freising-Weihenstephan 85354, Germany
| | - José R Dinneny
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Erwin Grill
- School of Life Sciences, Technical University Munich, Freising-Weihenstephan 85354, Germany
| | - Scott Hayes
- Laboratory of Plant Physiology, Plant Sciences Group, Wageningen University and Research, Wageningen 6708 PB, The Netherlands
| | - Robert W Heckman
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
| | - Po-Kai Hsu
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Thomas E Juenger
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
| | - Paloma Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Barcelona 08193, Spain
- Consejo Superior de Investigaciones Científicas (CSIC), Barcelona 08028, Spain
| | - Teun Munnik
- Department of Plant Cell Biology, Green Life Sciences Cluster, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam NL-1098XH, The Netherlands
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Center for Plant Systems Biology, Ghent 9052, Belgium
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, Institute of the Environment and Sustainability, University of California, Los Angeles, California 90095, USA
| | - Julian I Schroeder
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Christa Testerink
- Laboratory of Plant Physiology, Plant Sciences Group, Wageningen University and Research, Wageningen 6708 PB, The Netherlands
| | - Stephen D Tyerman
- ARC Center Excellence, Plant Energy Biology, School of Agriculture Food and Wine, University of Adelaide, Adelaide, South Australia 5064, Australia
| | - Taishi Umezawa
- Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo 6708 PB, Japan
| | - Philip A Wigge
- Leibniz-Institut für Gemüse- und Zierpflanzenbau, Großbeeren 14979, Germany
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam 14476, Germany
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19
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Thiers KLL, da Silva JHM, Vasconcelos DCA, Aziz S, Noceda C, Arnholdt-Schmitt B, Costa JH. Polymorphisms in alternative oxidase genes from ecotypes of Arabidopsis and rice revealed an environment-induced linkage to altitude and rainfall. PHYSIOLOGIA PLANTARUM 2023; 175:e13847. [PMID: 36562612 DOI: 10.1111/ppl.13847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/07/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
We investigated SNPs in alternative oxidase (AOX) genes and their connection to ecotype origins (climate, altitude, and rainfall) by using genomic data sets of Arabidopsis and rice populations from 1190 and 90 ecotypes, respectively. Parameters were defined to detect non-synonymous SNPs in the AOX ORF, which revealed amino acid (AA) changes in AOX1c, AOX1d, and AOX2 from Arabidopsis and AOX1c from rice in comparison to AOX references from Columbia-0 and Japonica ecotypes, respectively. Among these AA changes, Arabidopsis AOX1c_A161E&G165R and AOX1c_R242S revealed a link to high rainfall and high altitude, respectively, while all other changes in Arabidopsis and rice AOX was connected to high altitude and rainfall. Comparative 3D modeling showed that all mutant AOX presented structural differences in relation to the respective references. Molecular docking analysis uncovered lower binding affinity values between AOX and the substrate ubiquinol for most of the identified structures compared to their reference, indicating better enzyme-substrate binding affinities. Thus, our in silico data suggest that the majority of the AA changes found in the available ecotypes will confer better enzyme-subtract interactions and thus indicate environment-related, more efficient AOX activity.
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Affiliation(s)
- Karine Leitão Lima Thiers
- Functional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza, Brazil
- Non-Institutional Competence Focus (NICFocus) 'Functional Cell Reprogramming and Organism Plasticity' (FunCROP), coordinated from Foros de Vale de Figueira, Alentejo, Portugal
| | | | | | - Shahid Aziz
- Functional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza, Brazil
- Non-Institutional Competence Focus (NICFocus) 'Functional Cell Reprogramming and Organism Plasticity' (FunCROP), coordinated from Foros de Vale de Figueira, Alentejo, Portugal
| | - Carlos Noceda
- Non-Institutional Competence Focus (NICFocus) 'Functional Cell Reprogramming and Organism Plasticity' (FunCROP), coordinated from Foros de Vale de Figueira, Alentejo, Portugal
- Cell and Molecular Biology of Plants (BIOCEMP)/Industrial Biotechnology and Bioproducts, Departamento de Ciencias de la Vida y de la Agricultura, Universidad de las Fuerzas Armadas-ESPE, Sangolquí, Ecuador
- Facultad de Ciencias de la ingeniería, Universidad Estatal de Milagro, Milagro, Ecuador
| | - Birgit Arnholdt-Schmitt
- Functional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza, Brazil
- Non-Institutional Competence Focus (NICFocus) 'Functional Cell Reprogramming and Organism Plasticity' (FunCROP), coordinated from Foros de Vale de Figueira, Alentejo, Portugal
| | - José Hélio Costa
- Functional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceara, Fortaleza, Brazil
- Non-Institutional Competence Focus (NICFocus) 'Functional Cell Reprogramming and Organism Plasticity' (FunCROP), coordinated from Foros de Vale de Figueira, Alentejo, Portugal
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20
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Natural variation of DROT1 confers drought adaptation in upland rice. Nat Commun 2022; 13:4265. [PMID: 35871266 PMCID: PMC9308802 DOI: 10.1038/s41467-022-31844-w] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 07/05/2022] [Indexed: 01/03/2023] Open
Abstract
AbstractUpland rice is a distinct ecotype that grows in aerobic environments and tolerates drought stress. However, the genetic basis of its drought resistance is unclear. Here, using an integrative approach combining a genome-wide association study with analyses of introgression lines and transcriptomic profiles, we identify a gene, DROUGHT1 (DROT1), encoding a COBRA-like protein that confers drought resistance in rice. DROT1 is specifically expressed in vascular bundles and is directly repressed by ERF3 and activated by ERF71, both drought-responsive transcription factors. DROT1 improves drought resistance by adjusting cell wall structure by increasing cellulose content and maintaining cellulose crystallinity. A C-to-T single-nucleotide variation in the promoter increases DROT1 expression and drought resistance in upland rice. The potential elite haplotype of DROT1 in upland rice could originate in wild rice (O. rufipogon) and may be beneficial for breeding upland rice varieties.
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21
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Shanks CM, Huang J, Cheng CY, Shih HJS, Brooks MD, Alvarez JM, Araus V, Swift J, Henry A, Coruzzi GM. Validation of a high-confidence regulatory network for gene-to-NUE phenotype in field-grown rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1006044. [PMID: 36507422 PMCID: PMC9732682 DOI: 10.3389/fpls.2022.1006044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/01/2022] [Indexed: 05/03/2023]
Abstract
Nitrogen (N) and Water (W) - two resources critical for crop productivity - are becoming increasingly limited in soils globally. To address this issue, we aim to uncover the gene regulatory networks (GRNs) that regulate nitrogen use efficiency (NUE) - as a function of water availability - in Oryza sativa, a staple for 3.5 billion people. In this study, we infer and validate GRNs that correlate with rice NUE phenotypes affected by N-by-W availability in the field. We did this by exploiting RNA-seq and crop phenotype data from 19 rice varieties grown in a 2x2 N-by-W matrix in the field. First, to identify gene-to-NUE field phenotypes, we analyzed these datasets using weighted gene co-expression network analysis (WGCNA). This identified two network modules ("skyblue" & "grey60") highly correlated with NUE grain yield (NUEg). Next, we focused on 90 TFs contained in these two NUEg modules and predicted their genome-wide targets using the N-and/or-W response datasets using a random forest network inference approach (GENIE3). Next, to validate the GENIE3 TF→target gene predictions, we performed Precision/Recall Analysis (AUPR) using nine datasets for three TFs validated in planta. This analysis sets a precision threshold of 0.31, used to "prune" the GENIE3 network for high-confidence TF→target gene edges, comprising 88 TFs and 5,716 N-and/or-W response genes. Next, we ranked these 88 TFs based on their significant influence on NUEg target genes responsive to N and/or W signaling. This resulted in a list of 18 prioritized TFs that regulate 551 NUEg target genes responsive to N and/or W signals. We validated the direct regulated targets of two of these candidate NUEg TFs in a plant cell-based TF assay called TARGET, for which we also had in planta data for comparison. Gene ontology analysis revealed that 6/18 NUEg TFs - OsbZIP23 (LOC_Os02g52780), Oshox22 (LOC_Os04g45810), LOB39 (LOC_Os03g41330), Oshox13 (LOC_Os03g08960), LOC_Os11g38870, and LOC_Os06g14670 - regulate genes annotated for N and/or W signaling. Our results show that OsbZIP23 and Oshox22, known regulators of drought tolerance, also coordinate W-responses with NUEg. This validated network can aid in developing/breeding rice with improved yield on marginal, low N-input, drought-prone soils.
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Affiliation(s)
- Carly M. Shanks
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
| | - Ji Huang
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
| | - Chia-Yi Cheng
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
- Department of Life Science, College of Life Science, National Taiwan University, Taipei, Taiwan
| | - Hung-Jui S. Shih
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
| | - Matthew D. Brooks
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
- Global Change and Photosynthesis Research Unit, United States Department of Agriculture (USDA) Agricultural Research Service (ARS), Urbana, IL, United States
| | - José M. Alvarez
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
- Centro de Biotecnología Vegetal, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile
- Agencia Nacional de Investigación y Desarrollo–Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Viviana Araus
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
- Agencia Nacional de Investigación y Desarrollo–Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Departamento de Genética Molecular y Microbiología, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Joseph Swift
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
- Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, United States
| | - Amelia Henry
- Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines
| | - Gloria M. Coruzzi
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, United States
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22
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Shelake RM, Kadam US, Kumar R, Pramanik D, Singh AK, Kim JY. Engineering drought and salinity tolerance traits in crops through CRISPR-mediated genome editing: Targets, tools, challenges, and perspectives. PLANT COMMUNICATIONS 2022; 3:100417. [PMID: 35927945 PMCID: PMC9700172 DOI: 10.1016/j.xplc.2022.100417] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 07/07/2022] [Accepted: 07/27/2022] [Indexed: 05/10/2023]
Abstract
Prolonged periods of drought triggered by climate change hamper plant growth and cause substantial agricultural yield losses every year. In addition to drought, salinity is one of the major abiotic stresses that severely affect crop health and agricultural production. Plant responses to drought and salinity involve multiple processes that operate in a spatiotemporal manner, such as stress sensing, perception, epigenetic modifications, transcription, post-transcriptional processing, translation, and post-translational changes. Consequently, drought and salinity stress tolerance are polygenic traits influenced by genome-environment interactions. One of the ideal solutions to these challenges is the development of high-yielding crop varieties with enhanced stress tolerance, together with improved agricultural practices. Recently, genome-editing technologies, especially clustered regularly interspaced short palindromic repeats (CRISPR) tools, have been effectively applied to elucidate how plants deal with drought and saline environments. In this work, we aim to portray that the combined use of CRISPR-based genome engineering tools and modern genomic-assisted breeding approaches are gaining momentum in identifying genetic determinants of complex traits for crop improvement. This review provides a synopsis of plant responses to drought and salinity stresses at the morphological, physiological, and molecular levels. We also highlight recent advances in CRISPR-based tools and their use in understanding the multi-level nature of plant adaptations to drought and salinity stress. Integrating CRISPR tools with modern breeding approaches is ideal for identifying genetic factors that regulate plant stress-response pathways and for the introgression of beneficial traits to develop stress-resilient crops.
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Affiliation(s)
- Rahul Mahadev Shelake
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea.
| | - Ulhas Sopanrao Kadam
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
| | - Ritesh Kumar
- Department of Agronomy & Plant Genetics, University of Minnesota, Saint Paul, MN 55108, USA
| | - Dibyajyoti Pramanik
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
| | - Anil Kumar Singh
- ICAR-National Institute for Plant Biotechnology, LBS Centre, Pusa Campus, New Delhi 110012, India
| | - Jae-Yean Kim
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea; Division of Life Science, Gyeongsang National University, 501 Jinju-daero, Jinju 52828, Korea.
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23
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Kumar P, Singh J, Kaur G, Adunola PM, Biswas A, Bazzer S, Kaur H, Kaur I, Kaur H, Sandhu KS, Vemula S, Kaur B, Singh V, Tseng TM. OMICS in Fodder Crops: Applications, Challenges, and Prospects. Curr Issues Mol Biol 2022; 44:5440-5473. [PMID: 36354681 PMCID: PMC9688858 DOI: 10.3390/cimb44110369] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/27/2022] [Accepted: 10/31/2022] [Indexed: 09/08/2024] Open
Abstract
Biomass yield and quality are the primary targets in forage crop improvement programs worldwide. Low-quality fodder reduces the quality of dairy products and affects cattle's health. In multipurpose crops, such as maize, sorghum, cowpea, alfalfa, and oat, a plethora of morphological and biochemical/nutritional quality studies have been conducted. However, the overall growth in fodder quality improvement is not on par with cereals or major food crops. The use of advanced technologies, such as multi-omics, has increased crop improvement programs manyfold. Traits such as stay-green, the number of tillers per plant, total biomass, and tolerance to biotic and/or abiotic stresses can be targeted in fodder crop improvement programs. Omic technologies, namely genomics, transcriptomics, proteomics, metabolomics, and phenomics, provide an efficient way to develop better cultivars. There is an abundance of scope for fodder quality improvement by improving the forage nutrition quality, edible quality, and digestibility. The present review includes a brief description of the established omics technologies for five major fodder crops, i.e., sorghum, cowpea, maize, oats, and alfalfa. Additionally, current improvements and future perspectives have been highlighted.
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Affiliation(s)
- Pawan Kumar
- Agrotechnology Division, Council of Scientific and Industrial Research-Institute of Himalayan Bioresource Technology, Palampur 176061, India
- Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar 125004, India
| | - Jagmohan Singh
- Division of Plant Pathology, Indian Agricultural Research Institute, New Delhi 110012, India
- Krishi Vigyan Kendra, Guru Angad Dev Veterinary and Animal Science University, Barnala 148107, India
| | - Gurleen Kaur
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | | | - Anju Biswas
- Agronomy Department, University of Florida, Gainesville, FL 32611, USA
| | - Sumandeep Bazzer
- Department of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, WA 57007, USA
| | - Harpreet Kaur
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM 88001, USA
| | - Ishveen Kaur
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - Harpreet Kaur
- Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN 37209, USA
| | - Karansher Singh Sandhu
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163, USA
| | - Shailaja Vemula
- Agronomy Department, UF/IFAS Research and Education Center, Belle Glade, FL 33430, USA
| | - Balwinder Kaur
- Department of Entomology, UF/IFAS Research and Education Center, Belle Glade, FL 33430, USA
| | - Varsha Singh
- Department of Plant and Soil Sciences, Mississippi State University, Starkville, MS 39759, USA
| | - Te Ming Tseng
- Department of Plant and Soil Sciences, Mississippi State University, Starkville, MS 39759, USA
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Guo M, Yang F, Liu C, Zou J, Qi Z, Fotopoulos V, Lu G, Yu J, Zhou J. A single-nucleotide polymorphism in WRKY33 promoter is associated with the cold sensitivity in cultivated tomato. THE NEW PHYTOLOGIST 2022; 236:989-1005. [PMID: 35892173 DOI: 10.1111/nph.18403] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
Natural variations in cis-regulatory regions often affect crop phenotypes by altering gene expression. However, the mechanism of how promoter mutations affect gene expression and crop stress tolerance is still poorly understood. In this study, by analyzing RNA-sequencing (RNA-Seq) data and reverse transcription quantitative real-time PCR validation in the cultivated tomato and its wild relatives, we reveal that the transcripts of WRKY33 are almost unchanged in cold-sensitive cultivated tomato Solanum lycopersicum L. 'Ailsa Craig' but are significantly induced in cold-tolerant wild tomato relatives Solanum habrochaites LA1777 and Solanum pennellii LA0716 under cold stress. Overexpression of SlWRKY33 or ShWRKY33 positively regulates cold tolerance in tomato. Variant of the critical W-box in SlWRKY33 promoter results in the loss of self-transcription function of SlWRKY33 under cold stress. Analysis integrating RNA-Seq and chromatin immunoprecipitation sequencing data reveals that SlWRKY33 directly targets and induces multiple kinases, transcription factors, and molecular chaperone genes, such as CDPK11, MYBS3, and BAG6, thus enhancing cold tolerance. In addition, heat- and Botrytis-induced WRKY33s expression in both wild and cultivated tomatoes are independent of the critical W-box variation. Our findings suggest nucleotide polymorphism in cis-regulatory regions is crucial for different cold sensitivity between cultivated and wild tomato plants.
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Affiliation(s)
- Mingyue Guo
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
| | - Fengjun Yang
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
| | - Chenxu Liu
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
| | - Jinping Zou
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
| | - Zhenyu Qi
- Hainan Institute, Zhejiang University, Sanya, 572000, China
- Agricultural Experiment Station, Zhejiang University, Hangzhou, 310058, China
| | - Vasileios Fotopoulos
- Department of Agricultural Sciences Biotechnology and Food Science, Cyprus University of Technology, Lemesos, 999058, Cyprus
| | - Gang Lu
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
| | - Jingquan Yu
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
- Hainan Institute, Zhejiang University, Sanya, 572000, China
- Key Laboratory of Horticultural Plants Growth, Development and Quality Improvement, Agricultural Ministry of China, Yuhangtang Road 866, Hangzhou, 310058, China
| | - Jie Zhou
- Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Yuhangtang Road 866, Hangzhou, 310058, China
- Hainan Institute, Zhejiang University, Sanya, 572000, China
- Key Laboratory of Horticultural Plants Growth, Development and Quality Improvement, Agricultural Ministry of China, Yuhangtang Road 866, Hangzhou, 310058, China
- Shandong (Linyi) Institute of Modern Agriculture, Zhejiang University, Linyi, 276000, China
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25
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Deng P, Yan T, Ji W, Zhang G, Wu L, Wu D. Population-level transcriptomes reveal gene expression and splicing underlying cadmium accumulation in barley. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:847-859. [PMID: 36131686 DOI: 10.1111/tpj.15986] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 09/15/2022] [Accepted: 09/18/2022] [Indexed: 06/15/2023]
Abstract
Genetic variation is an important determinant of gene transcription, which in turn contributes to functional and phenotypic diversity. Identification of the genetic variants controlling gene expression and alternative splicing in crops responding to cadmium (Cd), an important issue for food safety and human health, is of great value to improve our understanding of Cd accumulation-related genes. Here we report an in-depth survey of population-level transcriptome variation of barley (Hordeum vulgare) core accessions under Cd exposure. We reveal marked transcriptomic changes in response to Cd exposure, and these are largely independent of tissues. A genome-wide association study (GWAS) revealed 59 498 expression quantitative trait loci (eQTLs) and 23 854 splicing quantitative trait loci (sQTLs), leading to a complex network that covers 66.6% of the expressed genes, including 68 metal transporter genes. On average, 41.0% of sQTLs overlapped with eQTLs across different tissues, indicating that these two dimensions of transcript variation are largely independent. Moreover, we found that 34.5% of GWAS QTLs that underlie 10 Cd accumulation traits in barley are co-localized with eQTLs and sQTLs, which could imply a mechanistic role of different genetic variants affecting gene expression and alternative splicing in these traits. This study highlights the role of distal and proximal genetic effects on gene expression, splicing, and phenotypic plasticity. We anticipate that our results on the genetic control of expression and splicing underlying Cd accumulation provide a bridge to better understand genetic variation and phenotypic diversity to elucidate the mechanisms underlying Cd accumulation in plants.
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Affiliation(s)
- Pingchuan Deng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Tao Yan
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Wanquan Ji
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Guoping Zhang
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, China
| | - Liang Wu
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, China
| | - Dezhi Wu
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
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26
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Riaz A, Deng F, Chen G, Jiang W, Zheng Q, Riaz B, Mak M, Zeng F, Chen ZH. Molecular Regulation and Evolution of Redox Homeostasis in Photosynthetic Machinery. Antioxidants (Basel) 2022; 11:antiox11112085. [PMID: 36358456 PMCID: PMC9686623 DOI: 10.3390/antiox11112085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/14/2022] [Accepted: 10/20/2022] [Indexed: 01/14/2023] Open
Abstract
The recent advances in plant biology have significantly improved our understanding of reactive oxygen species (ROS) as signaling molecules in the redox regulation of complex cellular processes. In plants, free radicals and non-radicals are prevalent intra- and inter-cellular ROS, catalyzing complex metabolic processes such as photosynthesis. Photosynthesis homeostasis is maintained by thiol-based systems and antioxidative enzymes, which belong to some of the evolutionarily conserved protein families. The molecular and biological functions of redox regulation in photosynthesis are usually to balance the electron transport chain, photosystem II, photosystem I, mesophyll and bundle sheath signaling, and photo-protection regulating plant growth and productivity. Here, we review the recent progress of ROS signaling in photosynthesis. We present a comprehensive comparative bioinformatic analysis of redox regulation in evolutionary distinct photosynthetic cells. Gene expression, phylogenies, sequence alignments, and 3D protein structures in representative algal and plant species revealed conserved key features including functional domains catalyzing oxidation and reduction reactions. We then discuss the antioxidant-related ROS signaling and important pathways for achieving homeostasis of photosynthesis. Finally, we highlight the importance of plant responses to stress cues and genetic manipulation of disturbed redox status for balanced and enhanced photosynthetic efficiency and plant productivity.
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Affiliation(s)
- Adeel Riaz
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou 414000, China
| | - Fenglin Deng
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou 414000, China
| | - Guang Chen
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Wei Jiang
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou 414000, China
| | - Qingfeng Zheng
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou 414000, China
| | - Bisma Riaz
- Department of Biotechnology, University of Okara, Okara, Punjab 56300, Pakistan
| | - Michelle Mak
- School of Science, Western Sydney University, Penrith, NSW 2751, Australia
| | - Fanrong Zeng
- Hubei Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou 414000, China
- Correspondence: (F.Z.); (Z.-H.C.)
| | - Zhong-Hua Chen
- School of Science, Western Sydney University, Penrith, NSW 2751, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW 2751, Australia
- Correspondence: (F.Z.); (Z.-H.C.)
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27
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The Function of BBX Gene Family under Multiple Stresses in Nicotiana tabacum. Genes (Basel) 2022; 13:genes13101841. [PMID: 36292726 PMCID: PMC9602306 DOI: 10.3390/genes13101841] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/06/2022] [Accepted: 10/08/2022] [Indexed: 11/16/2022] Open
Abstract
B-box (BBX) is a zinc finger transcription factor, which is involved in regulating the growth and development of plants and resisting various stresses. In this study, 43 NtBBX genes were identified and divided into five subgroups in tobacco. The members in each subgroup had similar characteristics. The promoter region of NtBBX genes had cis-acting elements related to light response, hormone regulation and stress response. Transcriptome analysis showed that NtBBX30 was significantly up-regulated, and NtBBX12, NtBBX13, NtBBX16 and NtBBX17 were significantly down-regulated under abiotic stresses. The NtBBX genes also responded to the infection of Ralstonia solanacearum. NtBBX9, NtBBX1, NtBBX15 and NtBBX17 showed the greatest response under stresses. The NtBBX genes are expressed in various degrees under different tissues. This research will provide a solid foundation for further study of the biological function of NtBBX genes in tobacco.
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Robertson SM, Sakariyahu SK, Bolaji A, Belmonte MF, Wilkins O. Growth-limiting drought stress induces time-of-day-dependent transcriptome and physiological responses in hybrid poplar. AOB PLANTS 2022; 14:plac040. [PMID: 36196395 PMCID: PMC9521483 DOI: 10.1093/aobpla/plac040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 08/25/2022] [Indexed: 06/16/2023]
Abstract
Drought stress negatively impacts the health of long-lived trees. Understanding the genetic mechanisms that underpin response to drought stress is requisite for selecting or enhancing climate change resilience. We aimed to determine how hybrid poplars respond to prolonged and uniform exposure to drought; how responses to moderate and more severe growth-limiting drought stresses differed; and how drought responses change throughout the day. We established hybrid poplar trees (Populus × 'Okanese') from unrooted stem cutting with abundant soil moisture for 6 weeks. We then withheld water to establish well-watered, moderate and severe growth-limiting drought conditions. These conditions were maintained for 3 weeks during which growth was monitored. We then measured photosynthetic rates and transcriptomes of leaves that had developed during the drought treatments at two times of day. The moderate and severe drought treatments elicited distinct changes in growth and development, photosynthetic rates and global transcriptome profiles. Notably, the time of day of sampling produced the strongest effect in the transcriptome data. The moderate drought treatment elicited global transcriptome changes that were intermediate to the severe and well-watered treatments in the early evening but did not elicit a strong drought response in the morning. Stable drought conditions that are sufficient to limit plant growth elicit distinct transcriptional profiles depending on the degree of water limitation and on the time of day at which they are measured. There appears to be a limited number of genes and functional gene categories that are responsive to all of the tested drought conditions in this study emphasizing the complex nature of drought regulation in long-lived trees.
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Affiliation(s)
- Sean M Robertson
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | | | - Ayooluwa Bolaji
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, Canada
| | - Mark F Belmonte
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
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29
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Zhou Q, Chen Y, Chen Z, Wang L, Ma X, Wang J, Zhang Q, Chen S. Genomics and transcriptomics reveal new molecular mechanism of vibriosis resistance in fish. Front Immunol 2022; 13:974604. [PMID: 36304468 PMCID: PMC9592550 DOI: 10.3389/fimmu.2022.974604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/05/2022] [Indexed: 11/23/2022] Open
Abstract
Infectious diseases have caused dramatic production decline and economic loss for fish aquaculture. However, the poor understanding of fish disease resistance severely hampered disease prevention. Chinese tongue sole (Cynoglossus semilaevis) is an important economic flatfish suffering from vibriosis. Here we used genomic, transcriptomic and experimental approaches to investigate the molecular genetic mechanisms underlying fish vibriosis resistance. A genome-wide comparison revealed that the genes under selective sweeps were enriched for glycosaminoglycan (GAG) chondroitin sulfate (CS)/dermatan sulfate (DS) metabolism. Transcriptomic analyses prioritized synergic gene expression patterns in this pathway, which may lead to an increased CS/DS content in the resistant family. Further experimental evidence showed that carbohydrate sulfotransferases 12 (Chst12), a key enzyme for CS/DS biosynthesis, has a direct antibacterial activity. To the best of our knowledge, this is the first report that the chst12 gene has a bactericidal effect. In addition, CS/DS is a major component of the extracellular matrix (ECM) and the selection signatures and fine-tuned gene expressions of ECM-receptor interaction genes indicated a modification in the ECM structure with an enhancement of the barrier function. Furthermore, functional studies conducted on Col6a2, encoding a collagen gene which constitutes the ECM, pointed to that it may act as a cellular receptor for Vibrio pathogens, thus plays an important role for the Vibrio invasion. Taken together, these findings provide new insights into the molecular protective mechanism underlying vibriosis resistance in fish, which offers crucial genomic resources for the resistant germplasm breeding and infectious disease control in fish culturing.
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Affiliation(s)
- Qian Zhou
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
- Shandong Key Laboratory for Marine Fishery Biotechnology and Genetic Breeding, Qingdao, China
| | - Yadong Chen
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Zhangfan Chen
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Lei Wang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Xinran Ma
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Jie Wang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Qihao Zhang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
| | - Songlin Chen
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences; Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Qingdao, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
- Shandong Key Laboratory for Marine Fishery Biotechnology and Genetic Breeding, Qingdao, China
- College of Life Science, Qingdao University, Qingdao, China
- *Correspondence: Songlin Chen,
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30
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Lye Z, Choi JY, Purugganan MD. Deleterious mutations and the rare allele burden on rice gene expression. Mol Biol Evol 2022; 39:6693943. [PMID: 36073358 PMCID: PMC9512150 DOI: 10.1093/molbev/msac193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Deleterious genetic variation is maintained in populations at low frequencies. Under a model of stabilizing selection, rare (and presumably deleterious) genetic variants are associated with increase or decrease in gene expression from some intermediate optimum. We investigate this phenomenon in a population of largely Oryza sativa ssp. indica rice landraces under normal unstressed wet and stressful drought field conditions. We include single nucleotide polymorphisms, insertion/deletion mutations, and structural variants in our analysis and find a stronger association between rare variants and gene expression outliers under the stress condition. We also show an association of the strength of this rare variant effect with linkage, gene expression levels, network connectivity, local recombination rate, and fitness consequence scores, consistent with the stabilizing selection model of gene expression.
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Affiliation(s)
- Zoe Lye
- Center for Genomics and Systems Biology, New York University, New York, NY 10003
| | - Jae Young Choi
- Center for Genomics and Systems Biology, New York University, New York, NY 10003
| | - Michael D Purugganan
- Center for Genomics and Systems Biology, New York University, New York, NY 10003.,Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
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31
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Li N, Zhang X, Sun X, Zhu S, Cheng Y, Liu M, Gao S, Zhang J, Wang Y, Yang X, Chen J, Li F, He Q, Zeng Z, Yuan X, Zhou Z, Ma L, Wang T, Li X, Liu H, Pan Y, Zhou M, Gao C, Zhou G, Han Z, Liu S, Su J, Cheng Z, Tian S, Liu T. Genomic insights into the evolutionary history and diversification of bulb traits in garlic. Genome Biol 2022; 23:188. [PMID: 36071507 PMCID: PMC9450234 DOI: 10.1186/s13059-022-02756-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 08/22/2022] [Indexed: 11/24/2022] Open
Abstract
Background Garlic is an entirely sterile crop with important value as a vegetable, condiment, and medicine. However, the evolutionary history of garlic remains largely unknown. Results Here we report a comprehensive map of garlic genomic variation, consisting of amazingly 129.4 million variations. Evolutionary analysis indicates that the garlic population diverged at least 100,000 years ago, and the two groups cultivated in China were domesticated from two independent routes. Consequently, 15.0 and 17.5% of genes underwent an expression change in two cultivated groups, causing a reshaping of their transcriptomic architecture. Furthermore, we find independent domestication leads to few overlaps of deleterious substitutions in these two groups due to separate accumulation and selection-based removal. By analysis of selective sweeps, genome-wide trait associations and associated transcriptomic analysis, we uncover differential selections for the bulb traits in these two garlic groups during their domestication. Conclusions This study provides valuable resources for garlic genomics-based breeding, and comprehensive insights into the evolutionary history of this clonal-propagated crop. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02756-1.
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Affiliation(s)
- Ningyang Li
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China.,Shandong Agricultural University, Tai'an, 271018, China
| | - Xueyu Zhang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Xiudong Sun
- Shandong Agricultural University, Tai'an, 271018, China
| | - Siyuan Zhu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Yi Cheng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Meng Liu
- Novogene Bioinformatics Institute, Beijing, 100083, China
| | - Song Gao
- Shandong Agricultural University, Tai'an, 271018, China.,Yangzhou University, Yangzhou, 225009, China
| | - Jiangjiang Zhang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Yanzhou Wang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China.,Industrial Research Institute of garlic (IBFC-Jinxiang), Jinxiang, 272200, China
| | - Xiai Yang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China.,Industrial Research Institute of garlic (IBFC-Jinxiang), Jinxiang, 272200, China
| | | | - Fu Li
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Qiaoyun He
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Zheng Zeng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Xiaoge Yuan
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Zhiman Zhou
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Longchuan Ma
- Shandong Dongyun Research Center of garlic Engineering, JinXiang, 272200, China
| | - Taotao Wang
- Shandong Dongyun Research Center of garlic Engineering, JinXiang, 272200, China
| | - Xiang Li
- Shandong Agricultural University, Tai'an, 271018, China
| | - Hanqiang Liu
- Northwest A&F University, Yangling, 712100, China
| | - Yupeng Pan
- Northwest A&F University, Yangling, 712100, China
| | - Mengyan Zhou
- Novogene Bioinformatics Institute, Beijing, 100083, China
| | - Chunsheng Gao
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China
| | - Gang Zhou
- Novogene Bioinformatics Institute, Beijing, 100083, China
| | - Zhenlin Han
- University of Hawaii at Manoa, Honolulu, 96822, USA
| | - Shiqi Liu
- Shandong Agricultural University, Tai'an, 271018, China
| | - Jianguang Su
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China.
| | - Zhihui Cheng
- Northwest A&F University, Yangling, 712100, China.
| | - Shilin Tian
- Novogene Bioinformatics Institute, Beijing, 100083, China.
| | - Touming Liu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, 410205, China. .,Industrial Research Institute of garlic (IBFC-Jinxiang), Jinxiang, 272200, China.
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32
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Unraveling the genetics of polyamine metabolism in barley for senescence-related crop improvement. Int J Biol Macromol 2022; 221:585-603. [PMID: 36075308 DOI: 10.1016/j.ijbiomac.2022.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/02/2022] [Accepted: 09/02/2022] [Indexed: 12/25/2022]
Abstract
We explored the polyamine (PA) metabolic pathway genes in barley (Hv) to understand plant development and stress adaptation in Gramineae crops with emphasis on leaf senescence. Bioinformatics and functional genomics tools were utilized for genome-wide identification, comprehensive gene features, evolution, development and stress effects on the expression of the polyamine metabolic pathway gene families (PMGs). Three S-adenosylmethionine decarboxylases (HvSAMDCs), two ornithine decarboxylases (HvODCs), one arginine decarboxylase (HvADC), one spermidine synthase (HvSPDS), two spermine synthases (HvSPMSs), five copper amine oxidases (HvCuAOs) and seven polyamine oxidases (HvPAOs) members of PMGs were identified and characterized in barley. All the HvPMG genes were found to be distributed on all chromosomes of barley. The phylogenetic and comparative assessment revealed that PA metabolic pathway is highly conserved in plants and the prediction of nine H. vulgare miRNAs (hvu-miR) target sites, 18 protein-protein interactions and 961 putative CREs in the promoter region were discerned. Gene expression of HvSAMDC3, HvCuAO7, HvPAO4 and HvSPMS1 was apparent at every developmental stage. SPDS/SPMS gene family was found to be the most responsive to induced leaf senescence. This study provides a reference for the functional investigation of the molecular mechanism(s) that regulate polyamine metabolism in plants as a tool for future breeding decision management systems.
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33
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Detecting signatures of selection on gene expression. Nat Ecol Evol 2022; 6:1035-1045. [PMID: 35551249 DOI: 10.1038/s41559-022-01761-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 04/01/2022] [Indexed: 12/15/2022]
Abstract
A substantial amount of phenotypic diversity results from changes in gene expression levels and patterns. Understanding how the transcriptome evolves is therefore a key priority in identifying mechanisms of adaptive change. However, in contrast to powerful models of sequence evolution, we lack a consensus model of gene expression evolution. Furthermore, recent work has shown that many of the comparative approaches used to study gene expression are subject to biases that can lead to false signatures of selection. Here we first outline the main approaches for describing expression evolution and their inherent biases. Next, we bridge the gap between the fields of phylogenetic comparative methods and transcriptomics to reinforce the main pitfalls of inferring selection on expression patterns and use simulation studies to show that shifts in tissue composition can heavily bias inferences of selection. We close by highlighting the multi-dimensional nature of transcriptional variation and identifying major unanswered questions in disentangling how selection acts on the transcriptome.
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34
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Li G, Zhang L, Wu J, Yue X, Wang M, Sun L, Di D, Kronzucker HJ, Shi W. OsEIL1 protects rice growth under NH 4+ nutrition by regulating OsVTC1-3-dependent N-glycosylation and root NH 4+ efflux. PLANT, CELL & ENVIRONMENT 2022; 45:1537-1553. [PMID: 35133011 DOI: 10.1111/pce.14283] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
Rice is known for its superior adaptation to ammonium (NH4+ ) as a nitrogen source. Compared to many other cereals, it displays lower NH4+ efflux in roots and higher nitrogen-use efficiency on NH4+ . A critical role for GDP-mannose pyrophosphorylase (VTC1) in controlling root NH4+ fluxes was previously documented in Arabidopsis, but the molecular pathways involved in regulating VTC1-dependent NH4+ efflux remain unclear. Here, we report that ETHYLENE-INSENSITIVE3-LIKE1 (OsEIL1) acts as a key transcription factor regulating OsVTC1-3-dependent NH4+ efflux and protein N-glycosylation in rice grown under NH4+ nutrition. We show that OsEIL1 in rice plays a contrasting role to Arabidopsis-homologous ETHYLENE-INSENSITIVE3 (AtEIN3) and maintains rice growth under NH4+ by stabilizing protein N-glycosylation and reducing root NH4+ efflux. OsEIL1 constrains NH4+ efflux by activation of OsVTC1-3, but not OsVTC1-1 or OsVTC1-8. OsEIL1 binds directly to the promoter EIN3-binding site (EBS) of OsVTC1-3 in vitro and in vivo and acts to increase the transcription of OsVTC1-3. Our work demonstrates an important link between excessive root NH4+ efflux and OsVTC1-3-mediated protein N-glycosylation in rice grown under NH4+ nutrition and identifies OsEIL1 as a direct genetic regulator of OsVTC1-3 expression.
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Affiliation(s)
- Guangjie Li
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Lin Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Jinlin Wu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Xiaowei Yue
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Meng Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Li Sun
- School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Dongwei Di
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Herbert J Kronzucker
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cytogenetics Institute, Nanjing Agricultural University/Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing, Jiangsu, China
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, British Columbia, Canada
| | - Weiming Shi
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
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35
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Reynoso MA, Borowsky AT, Pauluzzi GC, Yeung E, Zhang J, Formentin E, Velasco J, Cabanlit S, Duvenjian C, Prior MJ, Akmakjian GZ, Deal RB, Sinha NR, Brady SM, Girke T, Bailey-Serres J. Gene regulatory networks shape developmental plasticity of root cell types under water extremes in rice. Dev Cell 2022; 57:1177-1192.e6. [PMID: 35504287 DOI: 10.1016/j.devcel.2022.04.013] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 02/10/2022] [Accepted: 04/07/2022] [Indexed: 12/11/2022]
Abstract
Understanding how roots modulate development under varied irrigation or rainfall is crucial for development of climate-resilient crops. We established a toolbox of tagged rice lines to profile translating mRNAs and chromatin accessibility within specific cell populations. We used these to study roots in a range of environments: plates in the lab, controlled greenhouse stress and recovery conditions, and outdoors in a paddy. Integration of chromatin and mRNA data resolves regulatory networks of the following: cycle genes in proliferating cells that attenuate DNA synthesis under submergence; genes involved in auxin signaling, the circadian clock, and small RNA regulation in ground tissue; and suberin biosynthesis, iron transporters, and nitrogen assimilation in endodermal/exodermal cells modulated with water availability. By applying a systems approach, we identify known and candidate driver transcription factors of water-deficit responses and xylem development plasticity. Collectively, this resource will facilitate genetic improvements in root systems for optimal climate resilience.
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Affiliation(s)
- Mauricio A Reynoso
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA; IBBM, FCE-UNLP CONICET, La Plata 1900, Argentina
| | - Alexander T Borowsky
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Germain C Pauluzzi
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Elaine Yeung
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Jianhai Zhang
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Elide Formentin
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA; Department of Biology, University of Padova, Padova, Italy
| | - Joel Velasco
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Sean Cabanlit
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Christine Duvenjian
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Matthew J Prior
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Garo Z Akmakjian
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Roger B Deal
- Department of Biology, Emory University, Atlanta, GA 30322, USA
| | - Neelima R Sinha
- Department of Plant Biology, University of California, Davis, Davis, CA 95616, USA
| | - Siobhan M Brady
- Department of Plant Biology and Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Thomas Girke
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA
| | - Julia Bailey-Serres
- Center for Plant Cell Biology, Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA 92521, USA; Plant Ecophysiology, Institute of Environmental Biology, Utrecht University, 3584 Utrecht, the Netherlands.
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36
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Wang C, Han B. Twenty years of rice genomics research: From sequencing and functional genomics to quantitative genomics. MOLECULAR PLANT 2022; 15:593-619. [PMID: 35331914 DOI: 10.1016/j.molp.2022.03.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/04/2022] [Accepted: 03/18/2022] [Indexed: 06/14/2023]
Abstract
Since the completion of the rice genome sequencing project in 2005, we have entered the era of rice genomics, which is still in its ascendancy. Rice genomics studies can be classified into three stages: structural genomics, functional genomics, and quantitative genomics. Structural genomics refers primarily to genome sequencing for the construction of a complete map of rice genome sequence. This is fundamental for rice genetics and molecular biology research. Functional genomics aims to decode the functions of rice genes. Quantitative genomics is large-scale sequence- and statistics-based research to define the quantitative traits and genetic features of rice populations. Rice genomics has been a transformative influence on rice biological research and contributes significantly to rice breeding, making rice a good model plant for studying crop sciences.
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Affiliation(s)
- Changsheng Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
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37
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Groen SC, Joly-Lopez Z, Platts AE, Natividad M, Fresquez Z, Mauck WM, Quintana MR, Cabral CLU, Torres RO, Satija R, Purugganan MD, Henry A. Evolutionary systems biology reveals patterns of rice adaptation to drought-prone agro-ecosystems. THE PLANT CELL 2022; 34:759-783. [PMID: 34791424 PMCID: PMC8824591 DOI: 10.1093/plcell/koab275] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 11/02/2021] [Indexed: 05/24/2023]
Abstract
Rice (Oryza sativa) was domesticated around 10,000 years ago and has developed into a staple for half of humanity. The crop evolved and is currently grown in stably wet and intermittently dry agro-ecosystems, but patterns of adaptation to differences in water availability remain poorly understood. While previous field studies have evaluated plant developmental adaptations to water deficit, adaptive variation in functional and hydraulic components, particularly in relation to gene expression, has received less attention. Here, we take an evolutionary systems biology approach to characterize adaptive drought resistance traits across roots and shoots. We find that rice harbors heritable variation in molecular, physiological, and morphological traits that is linked to higher fitness under drought. We identify modules of co-expressed genes that are associated with adaptive drought avoidance and tolerance mechanisms. These expression modules showed evidence of polygenic adaptation in rice subgroups harboring accessions that evolved in drought-prone agro-ecosystems. Fitness-linked expression patterns allowed us to identify the drought-adaptive nature of optimizing photosynthesis and interactions with arbuscular mycorrhizal fungi. Taken together, our study provides an unprecedented, integrative view of rice adaptation to water-limited field conditions.
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Affiliation(s)
- Simon C Groen
- Author for correspondence: (S.C.G.), (M.D.P.), (A.H.)
| | | | | | - Mignon Natividad
- International Rice Research Institute, Los Baños, Laguna, Philippines, USA
| | - Zoë Fresquez
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, USA
| | | | | | - Carlo Leo U Cabral
- International Rice Research Institute, Los Baños, Laguna, Philippines, USA
| | - Rolando O Torres
- International Rice Research Institute, Los Baños, Laguna, Philippines, USA
| | - Rahul Satija
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, USA
- New York Genome Center, New York, USA
| | | | - Amelia Henry
- Author for correspondence: (S.C.G.), (M.D.P.), (A.H.)
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38
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Akmakjian GZ, Bailey-Serres J. Gene regulatory circuitry of plant-environment interactions: scaling from cells to the field. CURRENT OPINION IN PLANT BIOLOGY 2022; 65:102122. [PMID: 34688206 DOI: 10.1016/j.pbi.2021.102122] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 09/07/2021] [Accepted: 09/16/2021] [Indexed: 06/13/2023]
Abstract
Plant growth and development is the product of layers of sensing and regulation that are modulated by multifactorial environmental cues. Innovations in genomics currently allow gene regulatory control to be quantified at multiple scales and high resolution in defined cell populations and even in individual cells or nuclei in plants. The application of these 'omic technologies in highly controlled, as well as field environments is revolutionizing the recognition of factors critical to spatial and temporal responses to single or multiple environmental cues. Within and pan-species comparisons illuminate deeply conserved circuitry and targets of selection. This knowledge can benefit the breeding and engineering of crops with greater resilience to climate variability and the ability to augment nutrition through plant-microbial interactions.
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Affiliation(s)
- Garo Z Akmakjian
- Center for Plant Cell Biology, Botany and Plant Sciences Department, University of California, Riverside, CA, 92521, USA
| | - Julia Bailey-Serres
- Center for Plant Cell Biology, Botany and Plant Sciences Department, University of California, Riverside, CA, 92521, USA.
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39
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Yocca AE, Edger PP. Current status and future perspectives on the evolution of cis-regulatory elements in plants. CURRENT OPINION IN PLANT BIOLOGY 2022; 65:102139. [PMID: 34837823 DOI: 10.1016/j.pbi.2021.102139] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/20/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
Cis-regulatory elements (CREs) are short stretches (∼5-15 base pairs) of DNA capable of being bound by a transcription factor and influencing the expression of nearby genes. These regions are of great interest to anyone studying the relationship between phenotype and genotype as these sequences often dictate genes' spatio-temporal expression. Indeed, several associative signals between genotype and phenotype are known to lie outside of protein-coding regions. Therefore, a key to understand evolutionary biology requires their characterization in current and future genome assemblies. In this review, we cover some recent examples of how CRE variation contributes to phenotypic evolution, discuss evidence for the selective pressures experienced by non-coding regions of the genome, and consider several studies on accessible chromatin regions in plants and what they can tell us about CREs. Finally, we discuss how current advances in sequencing technologies will improve our knowledge of CRE variation.
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Affiliation(s)
- Alan E Yocca
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA; Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA; Genetics and Genome Sciences Program, Michigan State University, East Lansing, MI, 48824, USA.
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40
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Zeng Y, Ali MK, Du J, Li X, Yang X, Yang J, Pu X, Yang L, Hong J, Mou B, Li L, Zhou Y. Resistant Starch in Rice: Its Biosynthesis and Mechanism of Action Against Diabetes-Related Diseases. FOOD REVIEWS INTERNATIONAL 2022. [DOI: 10.1080/87559129.2021.2024221] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Yawen Zeng
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Muhammad Kazim Ali
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
- Karachi Institute of Biotechnology and Genetic Engineering, University of Karachi, Karachi, Pakistan
| | - Juan Du
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Xia Li
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Xiaomeng Yang
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
- Key Laboratory of the Southwestern Crop Gene Resources and Germplasm Innovation, Ministry of Agriculture, Kunming, China
| | - Jiazhen Yang
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Xiaoying Pu
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Li’E Yang
- Agricultural Biotechnology Key Laboratory of Yunnan Province, Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Jingan Hong
- Clinical Nutrition Department, The First People’s Hospital of Yunnan Province, Kunming, China
| | - Bo Mou
- Clinical Nutrition Department, The Second People’s Hospital of Yunnan Province, Kunming, China
| | - Ling Li
- Biomedical Engineering Research Center, Kunming Medical University, Kunming, China
| | - Yan Zhou
- Clinical Nutrition Department, The Second People’s Hospital of Yunnan Province, Kunming, China
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41
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Wang J, Xu J, Yang X, Xu S, Zhang M, Lu F. Boosting the power of transcriptomics by developing an efficient gene expression profiling approach. PLANT BIOTECHNOLOGY JOURNAL 2022; 20:201-210. [PMID: 34510693 PMCID: PMC8710826 DOI: 10.1111/pbi.13706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/09/2021] [Accepted: 08/29/2021] [Indexed: 06/13/2023]
Abstract
Recent advances in plant genomics are scaling up gene expression profiling from the individual level to the population level, making transcriptomics a more powerful tool while deciphering the genome function. This study developed an efficient 3'RNA-seq method, Simplified Poly(A) Anchored Sequencing (SiPAS), to perform large-scale experiments of gene expression quantification. Aside from being cost-effective, by conducting a comprehensive performance assessment of SiPAS in hexaploid wheat, we demonstrated that SiPAS is highly sensitive, accurate, and reproducible while quantifying gene expression. Our method is anticipated to boost studies of population transcriptomics in plants and improve our understanding of genome biology.
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Affiliation(s)
- Jing Wang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
| | - Jun Xu
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xiaohan Yang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Song Xu
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Ming Zhang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Fei Lu
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyThe Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
- CAS‐JIC Centre of Excellence for Plant and Microbial Science (CEPAMS)Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
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Feng L, Ma A, Song B, Yu S, Qi X. Mapping causal genes and genetic interactions for agronomic traits using a large F2 population in rice. G3 (BETHESDA, MD.) 2021; 11:6369515. [PMID: 34515770 PMCID: PMC8527483 DOI: 10.1093/g3journal/jkab318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 08/26/2021] [Indexed: 11/13/2022]
Abstract
Dissecting the genetic mechanisms underlying agronomic traits is of great importance for crop breeding. Agronomic traits are usually controlled by multiple quantitative trait loci (QTLs) and genetic interactions, and mapping the underlying causal genes is still labor-intensive and time-consuming. Here, we present a genetic tool for directly targeting the specific causal genes by using a single-gene resolution linkage map that was constructed from 3756 F2 rice plants via targeted sequencing technology and Tukey-Kramer multiple comparisons test. Three large- and moderate-effect QTLs, qHD6-2, qGL3-1, and qGW5-2, were successfully mapped to their specific causal genes, Hd1, GS3, and GW5, respectively. A complex genetic interaction network containing 30 QTL-QTL interactions was constructed, revealing that the alternative allele of hub QTL, qHD6-2, can hide or release the genetic contributions of the alleles at interacting loci. Moreover, arranging genetic interactions in the models lead to more accurate phenotypic predictions. These results provide a community resource and new feasible strategy for deciphering the genetic mechanisms of complex agronomic traits and accelerating crop breeding.
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Affiliation(s)
- Laibao Feng
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
| | - Aimin Ma
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Song
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
| | - Sibin Yu
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Xiaoquan Qi
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
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43
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Iqbal Z, Iqbal MS, Khan MIR, Ansari MI. Toward Integrated Multi-Omics Intervention: Rice Trait Improvement and Stress Management. FRONTIERS IN PLANT SCIENCE 2021; 12:741419. [PMID: 34721467 PMCID: PMC8554098 DOI: 10.3389/fpls.2021.741419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/20/2021] [Indexed: 05/04/2023]
Abstract
Rice (Oryza sativa) is an imperative staple crop for nearly half of the world's population. Challenging environmental conditions encompassing abiotic and biotic stresses negatively impact the quality and yield of rice. To assure food supply for the unprecedented ever-growing world population, the improvement of rice as a crop is of utmost importance. In this era, "omics" techniques have been comprehensively utilized to decipher the regulatory mechanisms and cellular intricacies in rice. Advancements in omics technologies have provided a strong platform for the reliable exploration of genetic resources involved in rice trait development. Omics disciplines like genomics, transcriptomics, proteomics, and metabolomics have significantly contributed toward the achievement of desired improvements in rice under optimal and stressful environments. The present review recapitulates the basic and applied multi-omics technologies in providing new orchestration toward the improvement of rice desirable traits. The article also provides a catalog of current scenario of omics applications in comprehending this imperative crop in relation to yield enhancement and various environmental stresses. Further, the appropriate databases in the field of data science to analyze big data, and retrieve relevant information vis-à-vis rice trait improvement and stress management are described.
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Affiliation(s)
- Zahra Iqbal
- Molecular Crop Research Unit, Department of Biochemistry, Chulalongkorn University, Bangkok, Thailand
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44
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Jia L, Li Y, Huang F, Jiang Y, Li H, Wang Z, Chen T, Li J, Zhang Z, Yao W. LIRBase: a comprehensive database of long inverted repeats in eukaryotic genomes. Nucleic Acids Res 2021; 50:D174-D182. [PMID: 34643715 PMCID: PMC8728187 DOI: 10.1093/nar/gkab912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/20/2021] [Accepted: 09/25/2021] [Indexed: 11/14/2022] Open
Abstract
Small RNAs (sRNAs) constitute a large portion of functional elements in eukaryotic genomes. Long inverted repeats (LIRs) can be transcribed into long hairpin RNAs (hpRNAs), which can further be processed into small interfering RNAs (siRNAs) with vital biological roles. In this study, we systematically identified a total of 6 619 473 LIRs in 424 eukaryotic genomes and developed LIRBase (https://venyao.xyz/lirbase/), a specialized database of LIRs across different eukaryotic genomes aiming to facilitate the annotation and identification of LIRs encoding long hpRNAs and siRNAs. LIRBase houses a comprehensive collection of LIRs identified in a wide range of eukaryotic genomes. In addition, LIRBase not only allows users to browse and search the identified LIRs in any eukaryotic genome(s) of interest available in GenBank, but also provides friendly web functionalities to facilitate users to identify LIRs in user-uploaded sequences, align sRNA sequencing data to LIRs, perform differential expression analysis of LIRs, predict mRNA targets for LIR-derived siRNAs, and visualize the secondary structure of candidate long hpRNAs encoded by LIRs. As demonstrated by two case studies, collectively, LIRBase bears the great utility for systematic investigation and characterization of LIRs and functional exploration of potential roles of LIRs and their derived siRNAs in diverse species.
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Affiliation(s)
- Lihua Jia
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.,National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Yang Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Fangfang Huang
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Yingru Jiang
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Haoran Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Zhizhan Wang
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Tiantian Chen
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Jiaming Li
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Zhang Zhang
- China National Center for Bioinformation, Beijing 100101, China.,National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.,CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100101, China
| | - Wen Yao
- National Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
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45
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Chevin LM, Leung C, Le Rouzic A, Uller T. Using phenotypic plasticity to understand the structure and evolution of the genotype-phenotype map. Genetica 2021; 150:209-221. [PMID: 34617196 DOI: 10.1007/s10709-021-00135-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 09/22/2021] [Indexed: 10/20/2022]
Abstract
Deciphering the genotype-phenotype map necessitates relating variation at the genetic level to variation at the phenotypic level. This endeavour is inherently limited by the availability of standing genetic variation, the rate of spontaneous mutation to novo genetic variants, and possible biases associated with induced mutagenesis. An interesting alternative is to instead rely on the environment as a source of variation. Many phenotypic traits change plastically in response to the environment, and these changes are generally underlain by changes in gene expression. Relating gene expression plasticity to the phenotypic plasticity of more integrated organismal traits thus provides useful information about which genes influence the development and expression of which traits, even in the absence of genetic variation. We here appraise the prospects and limits of such an environment-for-gene substitution for investigating the genotype-phenotype map. We review models of gene regulatory networks, and discuss the different ways in which they can incorporate the environment to mechanistically model phenotypic plasticity and its evolution. We suggest that substantial progress can be made in deciphering this genotype-environment-phenotype map, by connecting theory on gene regulatory network to empirical patterns of gene co-expression, and by more explicitly relating gene expression to the expression and development of phenotypes, both theoretically and empirically.
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Affiliation(s)
- Luis-Miguel Chevin
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France.
| | - Christelle Leung
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France
| | - Arnaud Le Rouzic
- Laboratoire Évolution, Génomes, Comportement, Écologie, CNRS, IRD, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Tobias Uller
- Department of Biology, Lund University, Lund, Sweden
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46
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Cai S, Shen Q, Huang Y, Han Z, Wu D, Chen Z, Nevo E, Zhang G. Multi-Omics Analysis Reveals the Mechanism Underlying the Edaphic Adaptation in Wild Barley at Evolution Slope (Tabigha). ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2101374. [PMID: 34390227 PMCID: PMC8529432 DOI: 10.1002/advs.202101374] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 06/27/2021] [Indexed: 06/13/2023]
Abstract
At the microsite "Evolution Slope", Tabigha, Israel, wild barley (Hordeum spontaneum) populations adapted to dry Terra Rossa soil, and its derivative abutting wild barley population adapted to moist and fungi-rich Basalt soil. However, the mechanisms underlying the edaphic adaptation remain elusive. Accordingly, whole genome bisulfite sequencing, RNA-sequencing, and metabolome analysis are performed on ten wild barley accessions inhabiting Terra Rossa and Basalt soil. A total of 121 433 differentially methylated regions (DMRs) and 10 478 DMR-genes are identified between the two wild barley populations. DMR-genes in CG context (CG-DMR-genes) are enriched in the pathways related with the fundamental processes, and DMR-genes in CHH context (CHH-DMR-genes) are mainly associated with defense response. Transcriptome and metabolome analysis reveal that the primary and secondary metabolisms are more active in Terra Rossa and Basalt wild barley populations, respectively. Multi-omics analysis indicate that sugar metabolism facilitates the adaptation of wild barley to dry Terra Rossa soil, whereas the enhancement of phenylpropanoid/phenolamide biosynthesis is beneficial for wild barley to inhabit moist and fungi pathogen-rich Basalt soil. The current results make a deep insight into edaphic adaptation of wild barley and provide elite genetic and epigenetic resources for developing barley with high abiotic stress tolerance.
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Affiliation(s)
- Shengguan Cai
- College of Agriculture and BiotechnologyZhejiang UniversityHangzhou310058China
| | - Qiufang Shen
- College of Agriculture and BiotechnologyZhejiang UniversityHangzhou310058China
| | - Yuqing Huang
- College of Agriculture and BiotechnologyZhejiang UniversityHangzhou310058China
- Institute of Crop ScienceHangzhou Academy of Agricultural SciencesHangzhou310024China
| | - Zhigang Han
- College of Agriculture and BiotechnologyZhejiang UniversityHangzhou310058China
| | - Dezhi Wu
- College of Agriculture and BiotechnologyZhejiang UniversityHangzhou310058China
| | - Zhong‐Hua Chen
- School of ScienceWestern Sydney UniversityPenrithNSW2751Australia
- Hawkesbury Institute for the EnvironmentWestern Sydney UniversityPenrithNSW2751Australia
| | - Eviatar Nevo
- Institute of EvolutionUniversity of HaifaMount CarmelHaifa34988384Israel
| | - Guoping Zhang
- College of Agriculture and BiotechnologyZhejiang UniversityHangzhou310058China
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47
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Cheng CY, Li Y, Varala K, Bubert J, Huang J, Kim GJ, Halim J, Arp J, Shih HJS, Levinson G, Park SH, Cho HY, Moose SP, Coruzzi GM. Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships. Nat Commun 2021; 12:5627. [PMID: 34561450 PMCID: PMC8463701 DOI: 10.1038/s41467-021-25893-w] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 09/03/2021] [Indexed: 12/13/2022] Open
Abstract
Inferring phenotypic outcomes from genomic features is both a promise and challenge for systems biology. Using gene expression data to predict phenotypic outcomes, and functionally validating the genes with predictive powers are two challenges we address in this study. We applied an evolutionarily informed machine learning approach to predict phenotypes based on transcriptome responses shared both within and across species. Specifically, we exploited the phenotypic diversity in nitrogen use efficiency and evolutionarily conserved transcriptome responses to nitrogen treatments across Arabidopsis accessions and maize varieties. We demonstrate that using evolutionarily conserved nitrogen responsive genes is a biologically principled approach to reduce the feature dimensionality in machine learning that ultimately improved the predictive power of our gene-to-trait models. Further, we functionally validated seven candidate transcription factors with predictive power for NUE outcomes in Arabidopsis and one in maize. Moreover, application of our evolutionarily informed pipeline to other species including rice and mice models underscores its potential to uncover genes affecting any physiological or clinical traits of interest across biology, agriculture, or medicine.
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Affiliation(s)
- Chia-Yi Cheng
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
- Department of Life Science, National Taiwan University, Taipei, Taiwan
| | - Ying Li
- Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN, USA
- Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, USA
| | - Kranthi Varala
- Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN, USA
- Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, USA
| | - Jessica Bubert
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Ji Huang
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Grace J Kim
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Justin Halim
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Jennifer Arp
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Hung-Jui S Shih
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Grace Levinson
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Seo Hyun Park
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Ha Young Cho
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA
| | - Stephen P Moose
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Gloria M Coruzzi
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
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48
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Winkelmüller TM, Entila F, Anver S, Piasecka A, Song B, Dahms E, Sakakibara H, Gan X, Kułak K, Sawikowska A, Krajewski P, Tsiantis M, Garrido-Oter R, Fukushima K, Schulze-Lefert P, Laurent S, Bednarek P, Tsuda K. Gene expression evolution in pattern-triggered immunity within Arabidopsis thaliana and across Brassicaceae species. THE PLANT CELL 2021; 33:1863-1887. [PMID: 33751107 PMCID: PMC8290292 DOI: 10.1093/plcell/koab073] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 02/24/2021] [Indexed: 05/20/2023]
Abstract
Plants recognize surrounding microbes by sensing microbe-associated molecular patterns (MAMPs) to activate pattern-triggered immunity (PTI). Despite their significance for microbial control, the evolution of PTI responses remains largely uncharacterized. Here, by employing comparative transcriptomics of six Arabidopsis thaliana accessions and three additional Brassicaceae species to investigate PTI responses, we identified a set of genes that commonly respond to the MAMP flg22 and genes that exhibit species-specific expression signatures. Variation in flg22-triggered transcriptome responses across Brassicaceae species was incongruent with their phylogeny, while expression changes were strongly conserved within A. thaliana. We found the enrichment of WRKY transcription factor binding sites in the 5'-regulatory regions of conserved and species-specific responsive genes, linking the emergence of WRKY-binding sites with the evolution of gene expression patterns during PTI. Our findings advance our understanding of the evolution of the transcriptome during biotic stress.
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Affiliation(s)
- Thomas M Winkelmüller
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Frederickson Entila
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Shajahan Anver
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
- Present address: Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Anna Piasecka
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland
| | - Baoxing Song
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
- Present address: Institute for Genomic Diversity, Cornell University, Ithaca, New York
| | - Eik Dahms
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Hitoshi Sakakibara
- RIKEN Center for Sustainable Resource Science, 230-0045 Yokohama, Japan
- Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan
| | - Xiangchao Gan
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Karolina Kułak
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland
- Present address: Department of Computational Biology, Adam Mickiewicz University, 61-614 Poznań, Poland
| | - Aneta Sawikowska
- Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, 60-628 Poznań, Poland
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznań, Poland
| | - Paweł Krajewski
- Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland
| | - Miltos Tsiantis
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Ruben Garrido-Oter
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Kenji Fukushima
- Institute for Molecular Plant Physiology and Biophysics, University of Würzburg, 97082 Würzburg, Germany
| | - Paul Schulze-Lefert
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Stefan Laurent
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Paweł Bednarek
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland
| | - Kenichi Tsuda
- State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Interdisciplinary Science Research Institute, Huazhong Agricultural University, 430070 Wuhan, China
- The Provincial Key Lab of Plant Pathology of Hubei Province, Huazhong Agricultural University, 430070 Wuhan, China
- Department of Plant–Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
- Author for correspondence:
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49
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Blanc J, Kremling KAG, Buckler E, Josephs EB. Local adaptation contributes to gene expression divergence in maize. G3-GENES GENOMES GENETICS 2021; 11:6114460. [PMID: 33604670 PMCID: PMC8022924 DOI: 10.1093/g3journal/jkab004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/20/2020] [Indexed: 11/14/2022]
Abstract
Gene expression links genotypes to phenotypes, so identifying genes whose expression is shaped by selection will be important for understanding the traits and processes underlying local adaptation. However, detecting local adaptation for gene expression will require distinguishing between divergence due to selection and divergence due to genetic drift. Here, we adapt a QST−FST framework to detect local adaptation for transcriptome-wide gene expression levels in a population of diverse maize genotypes. We compare the number and types of selected genes across a wide range of maize populations and tissues, as well as selection on cold-response genes, drought-response genes, and coexpression clusters. We identify a number of genes whose expression levels are consistent with local adaptation and show that genes involved in stress response show enrichment for selection. Due to its history of intense selective breeding and domestication, maize evolution has long been of interest to researchers, and our study provides insight into the genes and processes important for in local adaptation of maize.
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Affiliation(s)
- Jennifer Blanc
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Karl A G Kremling
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.,Inari Agriculture, Cambridge, MA 02139, USA
| | - Edward Buckler
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.,Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA.,United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853, USA
| | - Emily B Josephs
- Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA.,Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA
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50
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Feregrino C, Tschopp P. Assessing evolutionary and developmental transcriptome dynamics in homologous cell types. Dev Dyn 2021; 251:1472-1489. [PMID: 34114716 PMCID: PMC9545966 DOI: 10.1002/dvdy.384] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 05/19/2021] [Accepted: 06/04/2021] [Indexed: 12/03/2022] Open
Abstract
Background During development, complex organ patterns emerge through the precise temporal and spatial specification of different cell types. On an evolutionary timescale, these patterns can change, resulting in morphological diversification. It is generally believed that homologous anatomical structures are built—largely—by homologous cell types. However, whether a common evolutionary origin of such cell types is always reflected in the conservation of their intrinsic transcriptional specification programs is less clear. Results Here, we developed a user‐friendly bioinformatics workflow to detect gene co‐expression modules and test for their conservation across developmental stages and species boundaries. Using a paradigm of morphological diversification, the tetrapod limb, and single‐cell RNA‐sequencing data from two distantly related species, chicken and mouse, we assessed the transcriptional dynamics of homologous cell types during embryonic patterning. With mouse limb data as reference, we identified 19 gene co‐expression modules with varying tissue or cell type‐restricted activities. Testing for co‐expression conservation revealed modules with high evolutionary turnover, while others seemed maintained—to different degrees, in module make‐up, density or connectivity—over developmental and evolutionary timescales. Conclusions We present an approach to identify evolutionary and developmental dynamics in gene co‐expression modules during patterning‐relevant stages of homologous cell type specification using single‐cell RNA‐sequencing data. We present an approach to identify evolutionary and developmental dynamics in gene co‐expression modules during patterning‐relevant stages of homologous cell type specification using single‐cell RNA‐sequencing data.
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Affiliation(s)
- Christian Feregrino
- DUW Zoology, University of Basel, Basel, Switzerland.,Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany. Hannoversche Str. 28, Berlin, Germany
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