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Fan C, Melonek J, Lukaszewski AJ. New Observations of the Effects of the Cytoplasm of Aegilops kotschyi Boiss. in Bread Wheat Triticum aestivum L. Genes (Basel) 2024; 15:855. [PMID: 39062634 PMCID: PMC11275946 DOI: 10.3390/genes15070855] [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: 04/16/2024] [Revised: 06/19/2024] [Accepted: 06/25/2024] [Indexed: 07/28/2024] Open
Abstract
The cytoplasm of Aegilops kotschyi is known for the induction of male sterility and haploidy in wheat. Both systems originally appeared rather simple, but manipulation of the standard chromosome constitution of the nuclear genome revealed additional interactions. This study shows that while there is little or no allelic variation at the main fertility restorer locus Rfmulti on chromosome arm 1BS, additional genes may also be involved in the nuclear-mitochondrial genome interactions, affecting not only male fertility but also the growth rate, from pollen competition for fertilization and early endosperm divisions all the way to seed size and plant maturity. Some of these effects appear to be of a sporophytic nature; others are gametophytic. Induction of parthenogenesis by a rye inducer in conjunction with the Ae. kotschyi cytoplasm is well known. However, here we show that the cytoplasmic-nuclear interactions affect all aspects of double fertilization: producing maternal haploids from unfertilized eggs, diploids from fertilized eggs or synergids, embryo-less kernels, and fertilized eggs without fertilization of the double nucleus in the embryo sack. It is unclear how frequent the inducers of parthenogenesis are, as variation, if any, is obscured by suppressors present in the wheat genome. Genetic dissection of a single wheat accession revealed five distinct loci affecting the rate of maternal haploid production: four acting as suppressors and one as an enhancer. Only when the suppressing haplotypes are confirmed may it be possible to the identify genetic variation of haploidy inducers, map their position(s), and determine their nature and the mode of action.
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Affiliation(s)
- Chaolan Fan
- Triticeae Research Institute, Chengdu Campus, Sichuan Agricultural University, Chengdu 611130, China;
| | - Joanna Melonek
- Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra 2601, Australia;
| | - Adam J. Lukaszewski
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
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Wang D, Wang Y, Zhang L, Yang Y, Wu Q, Hu G, Wang W, Li J, Huang Z. Integrated transcriptomic and proteomic analysis of a cytoplasmic male sterility line and associated maintainer line in soybean. FRONTIERS IN PLANT SCIENCE 2023; 14:1098125. [PMID: 36818857 PMCID: PMC9933710 DOI: 10.3389/fpls.2023.1098125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Heterosis is a critical phenomenon in crop improvement. Cytoplasmic male sterility (CMS) and Restorer gene (Rf) systems are essential components for heterosis-based breeding. However, the molecular mechanism underlying CMS remains largely unclear in soybean. METHODS We integrated a morphological investigation with comparative analyses of transcriptomic and proteomic changes in pollen from the CMS line W931A and its maintainer line, W931B, at the uninucleate microspore (UM) and binucleate pollen (BP) stages. RESULTS Compared to W931B, which had healthy, oval pollen grains, W931A showed shrunken or degraded pollen grains with an irregularly thickened endothelium and decreased starch accumulation. Transcriptomic comparisons revealed a total of 865 differentially expressed genes (DEGs) in W931A over the two stages. These genes were primarily associated with pentose and glucuronate interconversions, sphingolipid metabolism, and glycerolipid metabolism. Proteomic analysis revealed 343 differentially expressed proteins (DEPs), which were mainly involved in carbon metabolism, glycolysis/gluconeogenesis, and nitrogen metabolism. Consistently, Gene Ontology (GO) biological process terms related to pollen development were enriched among DEGs at the UM and BP stages. Notably, four genes with demonstrated roles in pollen development were differentially expressed, including AGAMOUS-LIKE 104, PROTEIN-TYROSINE-PHOSPHATASE 1, and PHOSPHOLIPASE A2. A total of 53 genes and the corresponding proteins were differentially expressed in W931A at both the UM and BP stages, and many of these were pectinesterases, polygalacturonases, peroxidases, and ATPases. DISCUSSION The results of this study suggest that pollen development in W931A is likely regulated through suppression of the identified DEGs and DEPs. These findings increase our understanding of the molecular mechanism underlying CMS in soybean, aiding future research into soybean fertility and promoting the efficient use of heterosis for soybean improvement.
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Affiliation(s)
| | | | | | | | | | | | | | - Jiekun Li
- *Correspondence: Zhiping Huang, ; Jiekun Li,
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Zhang W, Zhou Q, Lin J, Ma X, Dong F, Yan H, Zhong W, Lu Y, Yao Y, Shen X, Huang L, Zhang W, Ming R. Transcriptome analyses shed light on floral organ morphogenesis and bract color formation in Bougainvillea. BMC PLANT BIOLOGY 2022; 22:97. [PMID: 35246031 PMCID: PMC8895829 DOI: 10.1186/s12870-022-03478-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Bougainvillea is a popular ornamental plant with brilliant color and long flowering periods. It is widely distributed in the tropics and subtropics. The primary ornamental part of the plant is its colorful and unusual bracts, rich in the stable pigment betalain. The developmental mechanism of the bracts is not clear, and the pathway of betalain biosynthesis is well characterized in Bougainvillea. RESULTS At the whole-genome level, we found 23,469 protein-coding genes by assembling the RNA-Seq and Iso-Seq data of floral and leaf tissues. Genome evolution analysis revealed that Bougainvillea is related to spinach; the two diverged approximately 52.7 million years ago (MYA). Transcriptome analysis of floral organs revealed that flower development of Bougainvillea was regulated by the ABCE flower development genes; A-class, B-class, and E-class genes exhibited high expression levels in bracts. Eight key genes of the betalain biosynthetic pathway were identified by homologous alignment, all of which were upregulated concurrently with bract development and betalain accumulation during the bract initiation stage of development. We found 47 genes specifically expressed in stamens, including seven highly expressed genes belonging to the pentose and glucuronate interconversion pathways. BgSEP2b, BgSWEET11, and BgRD22 are hub genes and interacted with many transcription factors and genes in the carpel co-expression network. CONCLUSIONS We assembled protein-coding genes of Bougainvilea, identified the floral development genes, and constructed the gene co-expression network of petal, stamens, and carpel. Our results provide fundamental information about the mechanism of flower development and pigment accumulation in Bougainvillea, and will facilitate breeding of cultivars with high ornamental value.
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Affiliation(s)
- Wenping Zhang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Qun Zhou
- Xiamen Botanical Garden, 361000, Xiamen, Fujian, China
| | - Jishan Lin
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Xinyi Ma
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
- College of Life Sciences, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Fei Dong
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
- College of Life Sciences, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Hansong Yan
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Weimin Zhong
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Yijing Lu
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
- College of Crop Sciences, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Yuan Yao
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
- College of Life Sciences, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Xueting Shen
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Lixian Huang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Fujian Agriculture and Forestry University, 350002, Fuzhou, Fujian, China
| | - Wanqi Zhang
- Xiamen Botanical Garden, 361000, Xiamen, Fujian, China.
| | - Ray Ming
- Department of Plant Biology, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA.
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Tyrka M, Bakera B, Szeliga M, Święcicka M, Krajewski P, Mokrzycka M, Rakoczy-Trojanowska M. Identification of Rf Genes in Hexaploid Wheat ( Triticumaestivum L.) by RNA-Seq and Paralog Analyses. Int J Mol Sci 2021; 22:ijms22179146. [PMID: 34502055 PMCID: PMC8431562 DOI: 10.3390/ijms22179146] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/19/2021] [Accepted: 08/20/2021] [Indexed: 11/16/2022] Open
Abstract
Among the natural mechanisms used for wheat hybrid breeding, the most desirable is the system combining the cytoplasmic male sterility (cms) of the female parent with the fertility-restoring genes (Rf) of the male parent. The objective of this study was to identify Rf candidate genes in the wheat genome on the basis of transcriptome sequencing (RNA-seq) and paralog analysis data. Total RNA was isolated from the anthers of two fertility-restorer (Primépi and Patras) and two non-restorer (Astoria and Grana) varieties at the tetrad and late uninucleate microspore stages. Of 36,912 differentially expressed genes (DEGs), 21 encoding domains in known fertility-restoring proteins were selected. To enrich the pool of Rf candidates, 52 paralogs (PAGs) of the 21 selected DEGs were included in the analyses. The expression profiles of most of the DEGs and PAGs determined bioinformatically were as expected (i.e., they were overexpressed in at least one fertility-restorer variety). However, these results were only partially consistent with the quantitative real-time PCR data. The DEG and PAG promoters included cis-regulatory elements common among PPR-encoding genes. On the basis of the obtained results, we designated seven genes as Rf candidate genes, six of which were identified for the first time in this study.
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Affiliation(s)
- Mirosław Tyrka
- Department of Biotechnology and Bioinformatics, Rzeszów University of Technology, Powstańców Warszawy 12, 35-959 Rzeszów, Poland; (M.T.); (M.S.)
| | - Beata Bakera
- Department of Plant Genetics, Breeding and Biotechnology, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warszawa, Poland; (B.B.); (M.Ś.)
| | - Magdalena Szeliga
- Department of Biotechnology and Bioinformatics, Rzeszów University of Technology, Powstańców Warszawy 12, 35-959 Rzeszów, Poland; (M.T.); (M.S.)
| | - Magdalena Święcicka
- Department of Plant Genetics, Breeding and Biotechnology, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warszawa, Poland; (B.B.); (M.Ś.)
| | - Paweł Krajewski
- Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 60-479 Poznań, Poland; (P.K.); (M.M.)
| | - Monika Mokrzycka
- Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 60-479 Poznań, Poland; (P.K.); (M.M.)
| | - Monika Rakoczy-Trojanowska
- Department of Plant Genetics, Breeding and Biotechnology, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warszawa, Poland; (B.B.); (M.Ś.)
- Correspondence: ; Tel./Fax: +48-22-59-32152
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