RNA sequencing and functional analysis of adult gonadal tissue to identify candidate key genes in Macrobrachium rosenbergii sex development

Ren, Jinjun; Na, Rong; Chen, Honglin; Liu, Bao; Niu, Bin

doi:10.1007/s10499-021-00780-9

Cited by 5 publications

(2 citation statements)

References 53 publications

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“…Therefore, effective genetic management is crucial to safeguard the health and adaptability of aquaculture populations. When genes associated with immunity [ 84 , 85 ], reproduction [ 86 , 87 ], environmental stress response [ 68 , 88 , 89 , 90 ], behavior [ 91 ], and other functions experience a loss of diversity, the population’s capacity to adapt is compromised, thereby heightening the risk of encountering various ecological pressures. The analysis of functional markers corresponds to key functional genes associated with resistance traits against White Spot Syndrome Virus (WSSV) and Acute Hepatopancreatic Necrosis Disease (AHPND) found in the transcriptome sequencing dataset.…”

Section: Discussionmentioning

confidence: 99%

Transcriptomic Insights and the Development of Microsatellite Markers to Assess Genetic Diversity in the Broodstock Management of Litopenaeus stylirostris

Yang,

Chu,

Chen

et al. 2024

Animals

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The Pacific blue shrimp (Litopenaeus stylirostris) is a premium product in the international seafood market. However, intensified farming has increased disease incidence and reduced genetic diversity. In this study, we developed a transcriptome database for L. stylirostris and mined microsatellite markers to analyze their genetic diversity. Using the Illumina HiSeq 4000 platform, we identified 53,263 unigenes from muscle, hepatopancreas, the intestine, and lymphoid tissues. Microsatellite analysis identified 36,415 markers from 18,657 unigenes, predominantly dinucleotide repeats. Functional annotation highlighted key disease resistance pathways and enriched categories. The screening and PCR testing of 42 transcriptome-based and 58 literature-based markers identified 40 with successful amplification. The genotyping of 200 broodstock samples revealed that Na, Ho, He, PIC, and FIS values were 3, 0.54 ± 0.05, 0.43 ± 0.09, 0.41 ± 0.22, and 0.17 ± 0.27, respectively, indicating moderate genetic variability and significant inbreeding. Four universal microsatellite markers (CL1472.Contig13, CL517.Contig2, Unigene5692, and Unigene7147) were identified for precise diversity analysis in Pacific blue, Pacific white (Litopenaeus vannamei), and black tiger shrimps (Penaeus monodon). The transcriptome database supports the development of markers and functional gene analysis for selective breeding programs. Our findings underscore the need for an appropriate genetic management system to mitigate inbreeding depression, reduce disease susceptibility, and preserve genetic diversity in farmed shrimp populations.

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Section: Discussionmentioning

confidence: 99%

Transcriptomic Insights and the Development of Microsatellite Markers to Assess Genetic Diversity in the Broodstock Management of Litopenaeus stylirostris

Yang,

Chu,

Chen

et al. 2024

Animals

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“…Studies on the determination of sexual development are a key direction to explore the phenotypic differences of M.rosenbergii (Wilhelm and Pask, 2018). The different levels of hormones secreted by the gonads of M. rosenbergii result in differences in the differentiation and proliferation of male and female cells (Ren et al 2021), which ultimately lead to differences in the growth rate and the characteristics of morphological differences. Regarding the impact of gut microbes on growth traits, studies on other aquatic animals have shown that gut microbes have a significant impact on animal growth and development.…”

Section: Discussionmentioning

confidence: 99%

Gut McIrobiomeis Associated with Hepatopancreatic and Gonadal Transcriptomes and Together They Impact on Growth Traits in <em>M. rosenbergii</em>

Xu¹,

Ren²,

Xu³

et al. 2023

Preprint

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In this study, we evaluated how gut microbes associated with hepatopancreatic and gonadal expression genes impact on growth traits in different sex of M. rosenbergii. By comparing the relative abundance of gut microbes between the male (high weight gain, HiWG) and female (low weight gain, LoWG) animals, we have shown that at the phyla, family and genera level, the abundance of microbes existed significantly difference between both group. At the genera level, the abundance of Candidatus Hepatoplasma and unidentified Chloroplast lower in the LoWG animals than in the HiWG animals, and Lactobacillus and Ligilactobacillus have opposed trend. The abundance of Candidatus Hepatoplasma and unclassfied Chloroplast was associated with the growth traits in the HiWG group. The Lolium perenne microbial species belong to unclassfied Chloroplast genera have tight association with Ralstonia pickettii, both might association on Geobacter anodirecteducens abundance, which correlation with the expression of glutathione peroxidase and collagen, which were highly expressed in the hepatopancreas and gonads of HiWG group animals of M. rosenbergii and might promote growth and development. These associations were not detected in the female LoWG group.

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Identification and characterization of olfactory gene families in Macrobrachium rosenbergii based on full-length transcripts and genome sequences

Qi,

Yu,

Shen

et al. 2024

Comparative Biochemistry and Physiology Part D: Genomics and Pr

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RNA sequencing and functional analysis of adult gonadal tissue to identify candidate key genes in Macrobrachium rosenbergii sex development

Cited by 5 publications

References 53 publications

Transcriptomic Insights and the Development of Microsatellite Markers to Assess Genetic Diversity in the Broodstock Management of Litopenaeus stylirostris

Transcriptomic Insights and the Development of Microsatellite Markers to Assess Genetic Diversity in the Broodstock Management of Litopenaeus stylirostris

Gut McIrobiomeis Associated with Hepatopancreatic and Gonadal Transcriptomes and Together They Impact on Growth Traits in <em>M. rosenbergii</em>

Identification and characterization of olfactory gene families in Macrobrachium rosenbergii based on full-length transcripts and genome sequences

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