Evidence map›Paper›PMID 26227337›Full record

ArticleScientific reports2015

Generation-based life table analysis reveals manifold effects of inbreeding on the population fitness in Plutella xylostella.

Lu Peng, Mingmin Zou, Nana Ren, Miao Xie, Liette Vasseur, Yifan Yang, Weiyi He, Guang Yang, Geoff M Gurr, Youming Hou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Lu Peng1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Mingmin Zou1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Nana Ren1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Miao Xie1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Liette Vasseur1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China [4] Department of Biological Sciences, Brock University, St. Catharines, Ontario L2S 3A1, Canada.
Yifan Yang1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Weiyi He1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Guang Yang1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Geoff M Gurr1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China [4] Graham Centre, Charles Sturt University, Orange, New South Wales 2800, Australia.
Youming Hou1] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Shijun YouDepartment of Botany, University of British Columbia, 3529-6270 University Blvd. Vancouver, BC V6T 1Z4, Canada.
Minsheng You1] Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China [2] Fujian-Taiwan Joint Centre for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou 350002, China [3] Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou 350002, China.
Institute of Applied Ecology · CNFujian Agriculture and Forestry University · CNUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how inbreeding affects fitness is biologically important for conservation and pest management. Despite being a worldwide pest of many economically important cruciferous crops, the influence of inbreeding on diamondback moth, Plutella xylostella (L.), populations is currently unknown. Using age-stage-specific life tables, we quantified the inbreeding effects on fitness-related traits and demographic parameters of P. xylostella. Egg hatching rate, survival and fecundity of the inbred line significantly declined compared to those of the outbred line over time. The inbred P. xylostella line showed significantly lower intrinsic rate of increase (r), net reproduction rate (R0), and finite increase rate (λ), and increasing generation time (T). Inbreeding effects vary with developmental stages and the fitness-related traits can be profoundly affected by the duration of inbreeding. Our work provides a foundation for further studies on molecular and genetic bases of the inbreeding depression for P. xylostella.

Indexed as

InbreedingAnimalsFemaleFertilityGenetic FitnessLife TablesLongevityMaleMothsSurvival Rate

Identifiers

PMID26227337
PMCPMC4521199
OpenAlexW1016581229

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.