Quantitative trait loci analysis of Verticillium wilt resistance in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense

Abstract

Background Verticillium wilt (VW) caused by Verticillium dahliae (Kleb) is one of the most destructive diseases of cotton. The identification of highly resistant QTLs or genes in the whole cotton genome is quite important for developing a VW-resistant variety and for further molecular design breeding.ResultsIn the present study, BC1F1, BC1S1, and BC2F1 populations derived from an interspecific backcross between the highly resistant line Hai1 (Gossypium barbadense L.) and the susceptible variety CCRI36 (G. hirsutum L.) as the recurrent parent were constructed. Quantitative trait loci (QTL) related to VW resistance were detected in the whole cotton genome using a high-density simple sequence repeat (SSR) genetic linkage map from the BC1F1 population, with 2292 loci covering 5115.16 centiMorgan (cM) of the cotton (AD) genome, and the data concerning VW resistance that were obtained from four dates of BC2F1 in the artificial disease nursery and one date of BC1S1 and BC2F1 in the field. A total of 48 QTLs for VW resistance were identified, and 37 of these QTLs had positive additive effects, which indicated that the G. barbadense alleles increased resistance to VW and decreased the disease index (DI) by about 2.2–10.7. These QTLs were located on 19 chromosomes, in which 33 in the A subgenome and 15 QTLs in the D subgenome. The 6 QTLs were found to be stable. The 6 QTLs were consistent with those identified previously, and another 42 were new, unreported QTLs, of which 31 QTLs were from G. barbadense. By meta-analysis, 17 QTL hotspot regions were identified and 10 of them were new, unreported hotspot regions. 29 QTLs in this paper were in 12 hotspot regions and were all from G. barbadense.ConclusionsThese stable or consensus QTL regions warrant further investigation to better understand the genetics and molecular mechanisms underlying VW resistance. This study provides useful information for further comparative analysis and marker-assisted selection in the breeding of disease-resistant cotton. It may also lay an important foundation for gene cloning and further molecular design breeding for the entire cotton genome.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-3128-x) contains supplementary material, which is available to authorized users.

Genome-wide quantitative trait loci mapping on Verticillium wilt resistance in 300 chromosome segment substitution lines from Gossypium hirsutum × Gossypium barbadense

“…Based on Meta-analysis, 32 QTL hotspot regions were totally detected on 18 chromosomes, including Chr01, Chr03, Chr05, Chr06, Chr07, Chr09, Chr11, Chr12, Chr14, Chr15, Chr17, Chr19, Chr20, Chr21, Chr22, Chr23, Chr24 and Chr26 (Figure S1, Table 5). Among them, 17 QTL hotspot regions were consistent with those detected earlier by [7, 22, 33] (Table 5), and the other 15 were identified as novel ones. Each 3 QTL hotspot regions were separately located on Chr05, Chr19, and Chr26, while each 2 QTL hotspot regions were detected on Chr01, Chr03, Chr07, Chr09, Chr20, Chr21, Chr22, and Chr23, respectively.…”

“…One QTL, qVW-Chr01-3 positioned on Chr01 for VW resistance was the similar as Ning’s qVW-A1-1 [47], which were identified with common markers of Gh215. Another QTL, qVW-Chr03-2 was the similar as qVW-C3-2 in the results of Shi et al [22], and they were associated with the shared marker CER0028. In addition, qVW-Chr05-1 on Chr05 was similar as Shi et al’s qVW-C5-1 [22] based on common marker CIR224b.…”

“…Another QTL, qVW-Chr03-2 was the similar as qVW-C3-2 in the results of Shi et al [22], and they were associated with the shared marker CER0028. In addition, qVW-Chr05-1 on Chr05 was similar as Shi et al’s qVW-C5-1 [22] based on common marker CIR224b. The qVW-Chr05-11 mapped on Chr05 was similar as the qVLBP2-A5-1RIL in the results of Yang et al [46], which were associated with shared markers NAU5210.…”

“…The qVW-Chr05-11 mapped on Chr05 was similar as the qVLBP2-A5-1RIL in the results of Yang et al [46], which were associated with shared markers NAU5210. The QTL qVW-Chr05-4 was similar as the qVW-C5-3 in the results of Shi et al [22] with the association of shared marker HAU0746 [22]. The qVW-Chr07-1 was similar as qVW-A7-1 in the results of Ning et al, [47] based on shared marker Gh527.…”

“…QTL Mapping approaches make it possible for the discovery of quantitative genetic factors responsible for disease resistance as well as high fiber quality and yield with the utilization of marker-assisted selection (MAS). Thus, we can take full advantage of genetic markers presenting linkage disequilibrium with disease resistance to confirm the contribution of key candidate genes in cotton research, which will be transferred from Sea Island cotton into Upland cotton to improve the VW resistance [22].…”