scholarly journals Genome-Wide Transcriptome Analysis Reveals the Comprehensive Response of Two Susceptible Poplar Sections to Marssonina brunnea Infection

Genes ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. 154 ◽  
Author(s):  
Yanfeng Zhang ◽  
Longyan Tian ◽  
Dong-Hui Yan ◽  
Wei He
2020 ◽  
Author(s):  
Dirk Alexander Wittekind ◽  
Markus Scholz ◽  
Jürgen Kratzsch ◽  
Markus Loeffler ◽  
Katrin Horn ◽  
...  

2021 ◽  
Vol 22 (8) ◽  
pp. 4201
Author(s):  
Shuai Zhang ◽  
Lang Xie ◽  
Shuqing Zheng ◽  
Baoyue Lu ◽  
Wenjing Tao ◽  
...  

The short-chain dehydrogenases/reductases (SDR) superfamily is involved in multiple physiological processes. In this study, genome-wide identification and comprehensive analysis of SDR superfamily were carried out in 29 animal species based on the latest genome databases. Overall, the number of SDR genes in animals increased with whole genome duplication (WGD), suggesting the expansion of SDRs during evolution, especially in 3R-WGD and polyploidization of teleosts. Phylogenetic analysis indicated that vertebrates SDRs were clustered into five categories: classical, extended, undefined, atypical, and complex. Moreover, tandem duplication of hpgd-a, rdh8b and dhrs13 was observed in teleosts analyzed. Additionally, tandem duplications of dhrs11-a, dhrs7a, hsd11b1b, and cbr1-a were observed in all cichlids analyzed, and tandem duplication of rdh10-b was observed in tilapiines. Transcriptome analysis of adult fish revealed that 93 SDRs were expressed in more than one tissue and 5 in one tissue only. Transcriptome analysis of gonads from different developmental stages showed that expression of 17 SDRs were sexually dimorphic with 11 higher in ovary and 6 higher in testis. The sexually dimorphic expressions of these SDRs were confirmed by in situ hybridization (ISH) and qPCR, indicating their possible roles in steroidogenesis and gonadal differentiation. Taken together, the identification and the expression data obtained in this study contribute to a better understanding of SDR superfamily evolution and functions in teleosts.


Gene ◽  
2021 ◽  
pp. 145753
Author(s):  
Chen Liu ◽  
Weimin Fu ◽  
Wenling Xu ◽  
Xianxian Liu ◽  
Shufen Wang

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xinyue Shu ◽  
Aijun Wang ◽  
Bo Jiang ◽  
Yuqi Jiang ◽  
Xing Xiang ◽  
...  

Abstract Background Rice (Oryza sativa) bacterial leaf blight (BLB), caused by the hemibiotrophic Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating diseases affecting the production of rice worldwide. The development and use of resistant rice varieties or genes is currently the most effective strategy to control BLB. Results Here, we used 259 rice accessions, which are genotyped with 2 888 332 high-confidence single nucleotide polymorphisms (SNPs). Combining resistance variation data of 259 rice lines for two Xoo races observed in 2 years, we conducted a genome-wide association study (GWAS) to identify quantitative trait loci (QTL) conferring plant resistance against BLB. The expression levels of genes, which contains in GWAS results were also identified between the resistant and susceptible rice lines by transcriptome analysis at four time points after pathogen inoculation. From that 109 candidate resistance genes showing significant differential expression between resistant and susceptible rice lines were uncovered. Furthermore, the haplotype block structure analysis predicted 58 candidate genes for BLB resistance based on Chr. 7_707158 with a minimum P-value (–log 10 P = 9.72). Among them, two NLR protein-encoding genes, LOC_Os07g02560 and LOC_Os07g02570, exhibited significantly high expression in the resistant line, but had low expression in the susceptible line of rice. Conclusions Together, our results reveal novel BLB resistance gene resources, and provide important genetic basis for BLB resistance breeding of rice crops.


2013 ◽  
Vol 38 (4) ◽  
pp. 1866-1872 ◽  
Author(s):  
Christophe Leplat ◽  
Raphaël Champeimont ◽  
Panatda Saenkham ◽  
Corinne Cassier-Chauvat ◽  
Aude Jean-Christophe ◽  
...  

2011 ◽  
Vol 12 (2) ◽  
pp. R17 ◽  
Author(s):  
Maarten Vercruysse ◽  
Maarten Fauvart ◽  
Ann Jans ◽  
Serge Beullens ◽  
Kristien Braeken ◽  
...  

2011 ◽  
Vol 11 (1) ◽  
pp. 177 ◽  
Author(s):  
Lihong Xiao ◽  
Hui Wang ◽  
Ping Wan ◽  
Tingyun Kuang ◽  
Yikun He

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