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Effects of reproductive interference on the competitive displacement between two invasive whiteflies

Published online by Cambridge University Press:  13 February 2014

Di-Bing Sun
Affiliation:
Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
Jie Li
Affiliation:
Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
Yin-Quan Liu
Affiliation:
Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
David W. Crowder
Affiliation:
Department of Entomology, Washington State University, 166 FSHN Building, PO Box 646382, Pullman, WA 99164, USA
Shu-Sheng Liu*
Affiliation:
Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
*
* Author for correspondence Phone: +86 571 88982505 Fax: +86 571 88982355 E-mail: shshliu@zju.edu.cn
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Abstract

Reproductive interference is one of the major factors mediating species exclusion among insects. The cryptic species Middle East-Asia Minor 1 (MEAM1) and Mediterranean (MED) of the whitefly Bemisia tabaci complex have invaded many parts of the world and often exhibit niche overlap and reproductive interference. However, contrasting patterns of competitive displacement between the two invaders have been observed between regions such as those in USA and China. Understanding the roles of reproductive interference in competitive interactions between populations of the two species in different regions will help unravel other factors related to their invasion. We integrated laboratory population experiments, behavioural observations and simulation modelling to investigate the role of reproductive interference on species exclusion between MEAM1 and MED in China. In mixed cohorts of the two species MEAM1 always excluded MED in a few generations when the initial proportion of MEAM1 was ⩾0.25. Even when the initial proportion of MEAM1 was only 0.10, however, MEAM1 still had a higher probability of excluding MED than that for MED to exclude MEAM1. Importantly, we show that as MEAM1 increased in relative abundance, MED populations became increasingly male-biased. Detailed behavioural observations confirmed that MEAM1 showed a stronger reproductive interference than MED, leading to reduced frequency of copulation and female progeny production in MED. Using simulation modelling, we linked our behavioural observations with exclusion experiments to show that interspecific asymmetric reproductive interference predicts the rate of species exclusion of MED by MEAM1. These findings not only reveal the importance of reproductive interference in the competitive interactions between the two invasive whiteflies as well as the detailed behavioural mechanisms, but also provide a valuable framework against which the effects of other factors mediating species exclusion can be explored.

Information

Type
Research Paper
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Fig. 1. Changes of relative proportions and sex ratios of MEAM1 and MED in mixed cohorts of the two cryptic species on cotton in the laboratory which were initiated with 50% MEAM1 and 50% MED. (A) mean percentages of MEAM1 individuals in cohorts of mixed population of ‘MEAM1+MED’, cohorts of MEAM1 alone, and cohorts of MED alone, respectively; (B) mean percentages of females of MEAM1 in the cohorts of mixed population of ‘MEAM1+MED’ and in the cohorts of MEAM1 alone, respectively; (C) mean percentages of females of MED in the cohorts of mixed population of ‘MEAM1+MED’ and in the cohorts of MED alone, respectively. Error bars indicate standard errors. In (B) and (C), different letters to the right of the four mean values on the same day indicate significant differences (P<0.05). Note that raw percentage data are shown but that statistical analyses were performed on arcsine-square root transformed data.

Figure 1

Fig. 2. Changes of relative proportions of MEAM1 and MED in mixed cohorts of the two species on cotton in the laboratory which were initiated with 25% MEAM1 and 75% MED.

Figure 2

Fig. 3. Changes of relative proportion of MEAM1 and MED in each of six mixed cohorts of the two species on cotton in the laboratory which were initiated with 10% MEAM1 and 90% MED.

Figure 3

Table 1. Courtship events and interactions: behavioural elements that caused changes in events of copulation in MEAM1 when a pair of MEAM1 ♂+♀ was supplemented with one ♂ of MEAM1 or MED during the first 3 days after emergence.

Figure 4

Table 2. Courtship events and interactions: behavioural elements that caused changes in events of copulation in MED when a pair of MED ♂+♀ was supplemented with one ♂ of MED or MEAM1 during the first 3 days after emergence.

Figure 5

Fig. 4. Changes in the mean number of copulation events during the first 72 h after emergence and production of progeny for the first 5 days after emergence when a pair of MEAM1 ♂+♀ was supplemented with one or three ♂ of the MEAM1 and MED (A, C and E), or when a pair of MED ♂+♀ was supplemented with one or three ♂ of the MED or MEAM1 (B, D and F). Ten to 27 replicates were conducted for each of the ten treatments, and error bars indicate standard errors. In each of the six diagrams different letters above bars indicate significant differences (P<0.05). Note that in Panels E and F raw percentage data are shown but that statistical analyses were performed on arcsine-square root transformed data.

Figure 6

Table 3. Durations of pre-copulatory courtship and copulation between females and males in MEAM1 and MED in response to an additional male of the same or the other species.

Figure 7

Table 4. Parameter values for modelling species exclusion between MEAM1 and MED: behavioural traits were assumed to be the same for the two species in the control simulations, whereas alternative parameter values were assumed based on experimental observations on the performance of the two species.

Figure 8

Fig. 5. The proportion of MEAM1 over time that was observed in experiments or predicted with two models (control and behaviour).

Figure 9

Fig. 6. The proportion of simulations incorporating variation in mating behaviour where MED was excluded by MEAM1, with varying initial proportion of MEAM1. Also shown is the proportion of population cages where MED was excluded (or appeared to be in the process of being excluded) by MEAM1.

Figure 10

Table 5. Results of repeated measures ANOVA comparing observed with simulated data from two models on the proportion of MED in the mixed population of MEAM1 and MED during the cage experiments.

Figure 11

Table 6. Summary of the differences in mating behavioural interactions between MEAM1 and MED as well as those between MEAM1 and indigenous (Asia II 3 and Australia; for species designation see De Barro et al., 2011) whitefly species.