Shrimp diseases and current diagnostic methods

Lightner, Donald V.; Redman, Rita M.

doi:10.1016/s0044-8486(98)00187-2

Cited by 371 publications

(234 citation statements)

References 71 publications

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“…The PCR primers were 5 -ATCGGTGCA-CTACTCGGA-3 and 5 -TCGTACTGGCTGTTCATC-3 , respectively (GenBank accession no. AF218266), which were widely used for detecting the nonstructural protein gene of IHHNV (Lightner and Redman, 1998). PCR amplification was carried out with the TaKaRa PCR Amplification kit (Takara Bio Dalian Co. Ltd.) by using 1 l of DNA template and 50 pmol of each primer in a 50 l total reaction volume by following the manufacturer's protocol with the following cycling times and temperatures: 95 • C for 10 min followed by 40 cycles of 95 • C for 45 s, 55 • C for 1 min and 72 • C for 2 min.…”

Section: Pcrmentioning

confidence: 99%

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Sensitive and rapid detection of infectious hypodermal and hematopoietic necrosis virus (IHHNV) in shrimps by loop-mediated isothermal amplification

Sun

Ren

et al. 2006

Journal of Virological Methods

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Section: Pcrmentioning

confidence: 99%

“…Diagnosis of IHHNV was done by bioassay using indicator hosts, monitoring clinical signs, histopathology, dot blot and in situ hybridizations using a virus-specific gene probe, and PCR (Lightner and Redman, 1998). Although PCR is very sensitive and highly specific, special regents and apparatus such as thermalcycler are needed.…”

Section: Introductionmentioning

confidence: 99%

Sensitive and rapid detection of infectious hypodermal and hematopoietic necrosis virus (IHHNV) in shrimps by loop-mediated isothermal amplification

Sun

Ren

et al. 2006

Journal of Virological Methods

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“…Although several viruses have been reported to infect shrimp [13], two of the major viruses, white spot syndrome virus (WSSV) and infectious hypodermal and hematopoietic necrosis virus (IHHNV) have been found to be the most prevalent and widespread ones. After its first appearance in eastern Asia during 1992 to 1993 [7], WSSV has spread rapidly to different parts of the world.…”

Section: Introductionmentioning

confidence: 99%

Association of dual viral infection with mortality of Pacific white shrimp (Litopenaeus vannamei) in culture ponds in India

et al. 2013

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Pacific white shrimp, Litopenaeus vannamei has been introduced recently for culture practice in India. Though SPF stocks are imported for larval production and thereafter culture practice, these are prone to infection with the existing viruses in the environment. Here we report mortality of L.vannamei in several farms in India with minimum biosecurity. The shrimp were harvested early within 50-72 days of culture due to the onset of disease and consequent mortality. As per the analysis carried out, the shrimp were infected with two virus, white spot syndrome virus (WSSV) and infectious hypodermal and hematopoietic necrosis virus (IHHNV). About 80 % of the samples collected had either or both of the viruses. A majority of these samples (60 %) had dual infection with WSSV and IHHNV. Infection of shrimp with WSSV and IHHNV could be detected both by PCR and histopathology. Some of the samples had either exclusively WSSV infection or IHHNV infection and were also harvested before the completion of the required culture period. All the samples analyzed were negative for taura syndrome virus, yellow head virus and infectious myonecrosis virus. While it is difficult to point out the exact etiological agent as the cause of mortality, strict biosecurity measures are advisable for the continuity of L. vannamei culture in India.

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“…In the shrimp pond, the bacteria are able to grow to a significant number by feeding on existing nutrients and shrimp metabolic waste. The bacteria reduce shrimp disease outbreaks by interfering with the virus activity, the main cause of unstable shrimp production [8][9][10]. Furthermore, the bacteria can reduce feed demand by serving as an alternative organic food source.…”

Section: Introductionmentioning

confidence: 99%

Experiential Knowledge Complements an LCA-Based Decision Support Framework

2015

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A shrimp farmer in Taiwan practices innovation through trial-and-error for better income and a better environment, but such farmer-based innovation sometimes fails because the biological mechanism is unclear. Systematic field experimentation and laboratory research are often too costly, and simulating ground conditions is often too challenging. To solve this dilemma, we propose a decision support framework that explicitly utilizes farmer experiential knowledge through a participatory approach to alternatively estimate prospective change in shrimp farming productivity, and to co-design options for improvement. Data obtained from the farmer enable us to quantitatively analyze the production cost and greenhouse gas (GHG) emission with a life cycle assessment (LCA) methodology. We used semi-quantitative graphical representations of indifference curves and mixing triangles to compare and show better options for the farmer. Our results empower the farmer to make decisions more systematically and reliably based on the frequency of heterotrophic bacteria application and the revision of feed input. We argue that experiential knowledge may be less accurate due to its dependence on varying levels of farmer experience, but this knowledge is a reasonable alternative for immediate decision-making. More importantly, our developed framework advances the scope of LCA application to support practically important yet scientifically uncertain cases. OPEN ACCESSSustainability 2015, 7 12387

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Shrimp diseases and current diagnostic methods

Cited by 371 publications

References 71 publications

Sensitive and rapid detection of infectious hypodermal and hematopoietic necrosis virus (IHHNV) in shrimps by loop-mediated isothermal amplification

Sensitive and rapid detection of infectious hypodermal and hematopoietic necrosis virus (IHHNV) in shrimps by loop-mediated isothermal amplification

Association of dual viral infection with mortality of Pacific white shrimp (Litopenaeus vannamei) in culture ponds in India

Experiential Knowledge Complements an LCA-Based Decision Support Framework

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