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Wang Q, Chen X, Meng Y, Niu M, Jia Y, Huang L, Ma W, Liang C, Li Z, Zhao L, Dang Z. The Potential Role of Genic-SSRs in Driving Ecological Adaptation Diversity in Caragana Plants. Int J Mol Sci 2024; 25:2084. [PMID: 38396759 PMCID: PMC10888960 DOI: 10.3390/ijms25042084] [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: 01/02/2024] [Revised: 01/26/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024] Open
Abstract
Caragana, a xerophytic shrub genus widely distributed in northern China, exhibits distinctive geographical substitution patterns and ecological adaptation diversity. This study employed transcriptome sequencing technology to investigate 12 Caragana species, aiming to explore genic-SSR variations in the Caragana transcriptome and identify their role as a driving force for environmental adaptation within the genus. A total of 3666 polymorphic genic-SSRs were identified across different species. The impact of these variations on the expression of related genes was analyzed, revealing a significant linear correlation (p < 0.05) between the length variation of 264 polymorphic genic-SSRs and the expression of associated genes. Additionally, 2424 polymorphic genic-SSRs were located in differentially expressed genes among Caragana species. Through weighted gene co-expression network analysis, the expressions of these genes were correlated with 19 climatic factors and 16 plant functional traits in various habitats. This approach facilitated the identification of biological processes associated with habitat adaptations in the studied Caragana species. Fifty-five core genes related to functional traits and climatic factors were identified, including various transcription factors such as MYB, TCP, ARF, and structural proteins like HSP90, elongation factor TS, and HECT. The roles of these genes in the ecological adaptation diversity of Caragana were discussed. Our study identified specific genomic components and genes in Caragana plants responsive to heterogeneous habitats. The results contribute to advancements in the molecular understanding of their ecological adaptation, lay a foundation for the conservation and development of Caragana germplasm resources, and provide a scientific basis for plant adaptation to global climate change.
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Affiliation(s)
- Qinglang Wang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Xing’er Chen
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Yue Meng
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Miaomiao Niu
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Yuanyuan Jia
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Lei Huang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Wenhong Ma
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Cunzhu Liang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Zhiyong Li
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Liqing Zhao
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
| | - Zhenhua Dang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China; (Q.W.); (X.C.); (Y.M.); (M.N.); (Y.J.); (L.H.); (W.M.); (C.L.); (Z.L.); (L.Z.)
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, Inner Mongolia Autonomous Region, Hohhot 010021, China
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Genome-wide identification and characterization of novel non-coding RNA-derived SSRs in wheat. Mol Biol Rep 2020; 47:6111-6125. [PMID: 32794134 DOI: 10.1007/s11033-020-05687-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 07/26/2020] [Indexed: 02/02/2023]
Abstract
Expression of eukaryotic genes is largely regulated by non-coding RNAs (ncRNA). Sequence variations in the regulatory RNAs may have critical biological consequences including transcriptional and post-transcriptional gene regulation. ncRNA-derived markers thus can be proved useful in molecular breeding, QTL mapping and association studies for trait dissection. In present study, we identified a total of 661 SSRs dwelling in pre-miRNA (15), small nuclear RNA (25) and lncRNA (621). Of these, 46 were validated and 100% amplification success was observed in selected wheat genotypes. A set of 36 ncRNA-SSRs markers was utilized for genetic variability assessment in forty-eight Indian wheat genotypes (which includes bread wheat, durum wheat and relatives). Number of alleles ranged from 1 to 4 with an average of two alleles per SSR locus. Mean PIC, observed heterozygosity and Shannon information index were found to be 0.258, 0.37 and 0.476 which suggests ncRNA-SSRs show higher polymorphism compared to genic SSRs but lower polymorphism compared to genomic SSRs. Thirty-six ncRNA-SSRs showed transferability ranging from 42.1% to 100%. Average genetic dissimilarity among wheat genotypes was found to be 0.29 based on Jaccard's dissimilarity. This is the first report of ncRNA-SSRs in wheat which will be useful for molecular breeding and genetic improvement of wheat.
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Next generation characterisation of cereal genomes for marker discovery. BIOLOGY 2013; 2:1357-77. [PMID: 24833229 PMCID: PMC4009793 DOI: 10.3390/biology2041357] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2013] [Revised: 10/29/2013] [Accepted: 11/08/2013] [Indexed: 12/30/2022]
Abstract
Cereal crops form the bulk of the world’s food sources, and thus their importance cannot be understated. Crop breeding programs increasingly rely on high-resolution molecular genetic markers to accelerate the breeding process. The development of these markers is hampered by the complexity of some of the major cereal crop genomes, as well as the time and cost required. In this review, we address current and future methods available for the characterisation of cereal genomes, with an emphasis on faster and more cost effective approaches for genome sequencing and the development of markers for trait association and marker assisted selection (MAS) in crop breeding programs.
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Dong P, Wei YM, Chen GY, Li W, Wang JR, Nevo E, Zheng YL. EST-SSR diversity correlated with ecological and genetic factors of wild emmer wheat in Israel. Hereditas 2009; 146:1-10. [PMID: 19360986 DOI: 10.1111/j.1601-5223.2009.02098.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The differentiation of genetic diversity was estimated among 15 wild emmer wheat (Triticum dicoccoides) populations of the macrogeographic scale in Israel by 25 EST-SSR markers. A total of 92 EST-SSR alleles were detected, and the number of alleles ranged from 1 to 7 with an average of 3.68 per locus. Allele numbers and the polymorphic information content (PIC)value of EST-SSR loci on the B genome were higher than those on the A genome. The genetic similarity coefficient (GS)varied from 0.189 to 0.966, and all genotypes were clustered into four major groups. The population Mt. Gerizim had the highest genetic variations, whereas the population Beit-Oren had the lowest genetic variations. Most of genetic variance existed within populations was observed based on the coefficient of gene differentiation (F(ST)=0.355). The value of genetic distance (D) between the populations varied from 0.112 to 0.672 with an average of 0.406, and the results of Mantel test(r=0.104, p=0.809) showed that the estimates of genetic distance were geographically independent. The values of Nei's gene diversity (He) and Shannon's information index (I) correlated negatively with the temperature factor: mean January temperature (Tj), whereas they correlated positively with another factor: mean number of Sharav days (Sh). The correlation matrix between He in the EST-SSRs and climatic variables contained 37 significant (pB0.05) correlations. The present study established that T. dicoccoides in Israel had a considerable amount of genetic variations at EST-SSR loci at least partly correlated with ecological factors. These results suggested that EST-SSR diversity is adaptive by natural selection and influenced by both internal and external factors and their interactions.
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Affiliation(s)
- Pan Dong
- Triticeae Research Institute, Sichuan Agricultural University, Yaan, Sichuan, PR China
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