Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs

被引：19

作者：

Obala, Jimmy ^{[1
,2
]}

Saxena, Rachit K. ^{[1
]}

Singh, Vikas K. ^{[1
]}

Kale, Sandip M. ^{[1
]}

Garg, Vanika ^{[1
]}

Kumar, C. V. Sameer ^{[3
]}

Saxena, K. B. ^{[4
]}

Tongoona, Pangirayi ^{[2
]}

Sibiya, Julia ^{[2
]}

Varshney, Rajeev K. ^{[1
]}

机构：

[1] Int Crops Res Inst Semi Arid Trop, Hyderabad 502324, India

[2] Univ KwaZulu Natal, African Ctr Crop Improvement, ZA-3209 Pietermaritzburg, South Africa

[3] Prof Jayashankar Telangana State Agr Univ, Hyderabad 500030, Telangana, India

[4] Int Crops Res Inst Semi Arid Trop, 17 NMC Housing, Abu Dhabi, U Arab Emirates

来源：

SCIENTIFIC REPORTS | 2020年 / 10卷 / 01期

关键词：

GROWTH HABIT; MULTIPLE POPULATIONS; GENETIC-ANALYSIS; CANDIDATE GENES; FLOWERING-TIME; GRAIN-YIELD; IDENTIFICATION; LOCI; REVEALS; DISEASE;

D O I：

10.1038/s41598-019-56903-z

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The genetic architecture of seed protein content (SPC) and its relationships to agronomic traits in pigeonpea is poorly understood. Accordingly, five F-2 populations segregating for SPC and four agronomic traits (seed weight (SW), seed yield (SY), growth habit (GH) and days to first flowering (DFF)) were phenotyped and genotyped using genotyping-by-sequencing approach. Five high-density population-specific genetic maps were constructed with an average inter-marker distance of 1.6 to 3.5 cM, and subsequently, integrated into a consensus map with average marker spacing of 1.6 cM. Based on analysis of phenotyping data and genotyping data, 192 main effect QTLs (M-QTLs) with phenotypic variation explained (PVE) of 0.7 to 91.3% were detected for the five traits across the five populations. Major effect (PVE = 10%) M-QTLs included 14 M-QTLs for SPC, 16 M-QTLs for SW, 17 M-QTLs for SY, 19 M-QTLs for GH and 24 M-QTLs for DFF. Also, 573 epistatic QTLs (E-QTLs) were detected with PVE ranging from 6.3 to 99.4% across traits and populations. Colocalization of M-QTLs and E-QTLs explained the genetic basis of the significant (P < 0.05) correlations of SPC with SW, SY, DFF and GH. The nature of genetic architecture of SPC and its relationship with agronomic traits suggest that genomics-assisted breeding targeting genome-wide variations would be effective for the simultaneous improvement of SPC and other important traits.

引用

页数：17

共 86 条

[31] Discovery and mapping of Brassica juncea Sdt 1 gene associated with determinate plant growth habit [J].